Split (2)

train · 433k rows

id stringlengths 9 16	title stringlengths 4 278	abstract stringlengths 3 4.08k	cs.HC bool 2 classes	cs.CE bool 2 classes	cs.SD bool 2 classes	cs.SI bool 2 classes	cs.AI bool 2 classes	cs.IR bool 2 classes	cs.LG bool 2 classes	cs.RO bool 2 classes	cs.CL bool 2 classes	cs.IT bool 2 classes	cs.SY bool 2 classes	cs.CV bool 2 classes	cs.CR bool 2 classes	cs.CY bool 2 classes	cs.MA bool 2 classes	cs.NE bool 2 classes	cs.DB bool 2 classes	Other bool 2 classes	__index_level_0__ int64 0 541k
2009.05683	MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models	Generative machine learning models are being increasingly viewed as a way to share sensitive data between institutions. While there has been work on developing differentially private generative modeling approaches, these approaches generally lead to sub-par sample quality, limiting their use in real world applications....	false	false	false	false	false	false	true	false	false	false	false	false	true	false	false	false	false	false	195,387
2202.00176	Full-Duplex Aerial Communication System for Multiple UAVs with Directional Antennas	UAV-based wireless systems, such as wireless relay and remote sensing, have attracted great attentions from academia and industry. To realize them, a high-performance wireless aerial communication system, which bridges UAVs and ground stations, is one of the key enablers. However, there are still issues hindering its d...	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	278,056
2207.05182	Fine-grained Activities of People Worldwide	Every day, humans perform many closely related activities that involve subtle discriminative motions, such as putting on a shirt vs. putting on a jacket, or shaking hands vs. giving a high five. Activity recognition by ethical visual AI could provide insights into our patterns of daily life, however existing activity r...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	307,437
1207.4158	On the Choice of Regions for Generalized Belief Propagation	Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of clusters to be used in GBP has remained more of an art then a science until this day. This paper proposes a sequential approach to adding new clust...	false	false	false	false	true	false	true	false	false	false	false	false	false	false	false	false	false	false	17,583
2008.12224	Understanding and Detecting Convergence for Stochastic Gradient Descent with Momentum	Convergence detection of iterative stochastic optimization methods is of great practical interest. This paper considers stochastic gradient descent (SGD) with a constant learning rate and momentum. We show that there exists a transient phase in which iterates move towards a region of interest, and a stationary phase in...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	193,513
2406.12700	SUPER: Selfie Undistortion and Head Pose Editing with Identity Preservation	Self-portraits captured from a short distance might look unnatural or even unattractive due to heavy distortions making facial features malformed, and ill-placed head poses. In this paper, we propose SUPER, a novel method of eliminating distortions and adjusting head pose in a close-up face crop. We perform 3D GAN inve...	false	false	false	false	false	false	true	false	false	false	false	true	false	false	false	false	false	false	465,534
2010.01899	Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph	Multi-hop reasoning has been widely studied in recent years to seek an effective and interpretable method for knowledge graph (KG) completion. Most previous reasoning methods are designed for dense KGs with enough paths between entities, but cannot work well on those sparse KGs that only contain sparse paths for reason...	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	198,833
2409.13147	The Impact of Feature Embedding Placement in the Ansatz of a Quantum Kernel in QSVMs	Designing a useful feature map for a quantum kernel is a critical task when attempting to achieve an advantage over classical machine learning models. The choice of circuit architecture, i.e. how feature-dependent gates should be interwoven with other gates is a relatively unexplored problem and becomes very important ...	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	489,864
2106.13574	Multiview Video Compression Using Advanced HEVC Screen Content Coding	The paper presents a new approach to multiview video coding using Screen Content Coding. It is assumed that for a time instant the frames corresponding to all views are packed into a single frame, i.e. the frame-compatible approach to multiview coding is applied. For such coding scenario, the paper demonstrates that Sc...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	true	243,121
2211.06508	On the robustness of non-intrusive speech quality model by adversarial examples	It has been shown recently that deep learning based models are effective on speech quality prediction and could outperform traditional metrics in various perspectives. Although network models have potential to be a surrogate for complex human hearing perception, they may contain instabilities in predictions. This work ...	false	false	true	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	329,910
2402.12405	scInterpreter: Training Large Language Models to Interpret scRNA-seq Data for Cell Type Annotation	Despite the inherent limitations of existing Large Language Models in directly reading and interpreting single-cell omics data, they demonstrate significant potential and flexibility as the Foundation Model. This research focuses on how to train and adapt the Large Language Model with the capability to interpret and di...	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	430,837
1310.0598	Synchronization and semistability analysis of the Kuramoto model of coupled nonlinear oscillators	An interesting problem in synchronization is the study of coupled oscillators, wherein oscillators with different natural frequencies synchronize to a common frequency and equilibrium phase difference. In this paper, we investigate the stability and convergence in a network of coupled oscillators described by the Kuram...	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	27,504
2204.02263	Multilingual and Multimodal Abuse Detection	The presence of abusive content on social media platforms is undesirable as it severely impedes healthy and safe social media interactions. While automatic abuse detection has been widely explored in textual domain, audio abuse detection still remains unexplored. In this paper, we attempt abuse detection in conversatio...	false	false	true	false	false	false	true	false	true	false	false	false	false	false	false	false	false	false	289,875
1911.08348	Live Face De-Identification in Video	We propose a method for face de-identification that enables fully automatic video modification at high frame rates. The goal is to maximally decorrelate the identity, while having the perception (pose, illumination and expression) fixed. We achieve this by a novel feed-forward encoder-decoder network architecture that ...	false	false	false	false	false	false	true	false	false	false	false	true	false	false	false	false	false	true	154,166
2408.16979	Cross Fusion RGB-T Tracking with Bi-directional Adapter	Many state-of-the-art RGB-T trackers have achieved remarkable results through modality fusion. However, these trackers often either overlook temporal information or fail to fully utilize it, resulting in an ineffective balance between multi-modal and temporal information. To address this issue, we propose a novel Cross...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	484,529
2308.14578	Flexible-Position MIMO for Wireless Communications: Fundamentals, Challenges, and Future Directions	The flexible-position multiple-input multiple-output (FLP-MIMO), such as fluid antennas and movable antennas, is a promising technology for future wireless communications. This is due to the fact that the positions of antennas at the transceiver and reflector can be dynamically optimized to achieve better channel condi...	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	388,376
2501.09997	Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models	Hallucination has emerged as a significant barrier to the effective application of Large Language Models (LLMs). In this work, we introduce a novel Attention-Guided SElf-Reflection (AGSER) approach for zero-shot hallucination detection in LLMs. The AGSER method utilizes attention contributions to categorize the input q...	false	false	false	false	true	false	false	false	true	false	false	false	false	false	false	false	false	false	525,350
2106.01544	SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation	Semi-Supervised classification and segmentation methods have been widely investigated in medical image analysis. Both approaches can improve the performance of fully-supervised methods with additional unlabeled data. However, as a fundamental task, semi-supervised object detection has not gained enough attention in the...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	238,535
1804.03584	Geometrical analysis of polynomial lens distortion models	Polynomial functions are a usual choice to model the nonlinearity of lenses. Typically, these models are obtained through physical analysis of the lens system or on purely empirical grounds. The aim of this work is to facilitate an alternative approach to the selection or design of these models based on establishing a ...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	94,657
2205.11082	YouTube Ad View Sentiment Analysis using Deep Learning and Machine Learning	Sentiment Analysis is currently a vital area of research. With the advancement in the use of the internet, the creation of social media, websites, blogs, opinions, ratings, etc. has increased rapidly. People express their feedback and emotions on social media posts in the form of likes, dislikes, comments, etc. The rap...	false	false	false	false	false	true	true	false	false	false	false	false	false	false	false	false	false	false	297,987
2306.05696	Embodied Executable Policy Learning with Language-based Scene Summarization	Large Language models (LLMs) have shown remarkable success in assisting robot learning tasks, i.e., complex household planning. However, the performance of pretrained LLMs heavily relies on domain-specific templated text data, which may be infeasible in real-world robot learning tasks with image-based observations. Mor...	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	372,299
2004.11706	Target specific mining of COVID-19 scholarly articles using one-class approach	In recent years, several research articles have been published in the field of corona-virus caused diseases like severe acute respiratory syndrome (SARS), middle east respiratory syndrome (MERS) and COVID-19. In the presence of numerous research articles, extracting best-suited articles is time-consuming and manually i...	false	false	false	false	false	true	true	false	false	false	false	false	false	false	false	false	false	false	173,994
2310.00363	Composition of Control Barrier Functions With Differing Relative Degrees for Safety Under Input Constraints	This paper presents a new approach for guaranteed safety subject to input constraints (e.g., actuator limits) using a composition of multiple control barrier functions (CBFs). First, we present a method for constructing a single CBF from multiple CBFs, which can have different relative degrees. This construction relies...	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	395,948
1805.11179	Reachability Analysis for Robustness Evaluation of the Sit-To-Stand Movement for Powered Lower Limb Orthoses	A sensitivity-based approach for computing over-approximations of reachable sets, in the presence of constant parameter uncertainties and a single initial state, is used to analyze a three-link planar robot modeling a Powered Lower Limb Orthosis and its user. Given the nature of the mappings relating the state and para...	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	98,853
cmp-lg/9507009	Specifying Logic Programs in Controlled Natural Language	Writing specifications for computer programs is not easy since one has to take into account the disparate conceptual worlds of the application domain and of software development. To bridge this conceptual gap we propose controlled natural language as a declarative and application-specific specification language. Contro...	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	536,439
2402.12348	GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations	As Large Language Models (LLMs) are integrated into critical real-world applications, their strategic and logical reasoning abilities are increasingly crucial. This paper evaluates LLMs' reasoning abilities in competitive environments through game-theoretic tasks, e.g., board and card games that require pure logic and ...	false	false	false	false	true	false	true	false	true	false	false	false	false	false	false	false	false	false	430,811
2304.00424	Progressive Random Convolutions for Single Domain Generalization	Single domain generalization aims to train a generalizable model with only one source domain to perform well on arbitrary unseen target domains. Image augmentation based on Random Convolutions (RandConv), consisting of one convolution layer randomly initialized for each mini-batch, enables the model to learn generaliza...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	355,681
2410.19765	A New Perspective to Boost Performance Fairness for Medical Federated Learning	Improving the fairness of federated learning (FL) benefits healthy and sustainable collaboration, especially for medical applications. However, existing fair FL methods ignore the specific characteristics of medical FL applications, i.e., domain shift among the datasets from different hospitals. In this work, we propos...	false	false	false	false	false	false	true	false	false	false	false	false	true	true	false	false	false	false	502,462
2310.11198	EEG motor imagery decoding: A framework for comparative analysis with channel attention mechanisms	The objective of this study is to investigate the application of various channel attention mechanisms within the domain of brain-computer interface (BCI) for motor imagery decoding. Channel attention mechanisms can be seen as a powerful evolution of spatial filters traditionally used for motor imagery decoding. This st...	true	false	false	false	true	false	true	false	false	false	false	false	false	false	false	false	false	false	400,555
2311.01133	A Bayesian optimization framework for the automatic tuning of MPC-based shared controllers	This paper presents a Bayesian optimization framework for the automatic tuning of shared controllers which are defined as a Model Predictive Control (MPC) problem. The proposed framework includes the design of performance metrics as well as the representation of user inputs for simulation-based optimization. The framew...	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	404,926
2209.06129	Hierarchical Conversational Preference Elicitation with Bandit Feedback	The recent advances of conversational recommendations provide a promising way to efficiently elicit users' preferences via conversational interactions. To achieve this, the recommender system conducts conversations with users, asking their preferences for different items or item categories. Most existing conversational...	false	false	false	false	false	true	true	false	false	false	false	false	false	false	false	false	false	false	317,305
2305.09025	Soft Prompt Decoding for Multilingual Dense Retrieval	In this work, we explore a Multilingual Information Retrieval (MLIR) task, where the collection includes documents in multiple languages. We demonstrate that applying state-of-the-art approaches developed for cross-lingual information retrieval to MLIR tasks leads to sub-optimal performance. This is due to the heteroge...	false	false	false	false	false	true	false	false	true	false	false	false	false	false	false	false	false	false	364,484
2201.03101	ImageSubject: A Large-scale Dataset for Subject Detection	Main subjects usually exist in the images or videos, as they are the objects that the photographer wants to highlight. Human viewers can easily identify them but algorithms often confuse them with other objects. Detecting the main subjects is an important technique to help machines understand the content of images and ...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	274,745
2411.00825	Transparent Tagging for Strategic Social Nudges on User-Generated Misinformation	Social network platforms (SNP), such as X and TikTok, rely heavily on user-generated content to attract users and advertisers, yet they have limited control over content provision, which leads to the proliferation of misinformation across platforms. As countermeasures, SNPs have implemented various policies, such as tw...	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	true	504,765
2104.10228	Concept Drift Detection from Multi-Class Imbalanced Data Streams	Continual learning from data streams is among the most important topics in contemporary machine learning. One of the biggest challenges in this domain lies in creating algorithms that can continuously adapt to arriving data. However, previously learned knowledge may become outdated, as streams evolve over time. This ph...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	231,502
2101.00574	StarNet: Gradient-free Training of Deep Generative Models using Determined System of Linear Equations	In this paper we present an approach for training deep generative models solely based on solving determined systems of linear equations. A network that uses this approach, called a StarNet, has the following desirable properties: 1) training requires no gradient as solution to the system of linear equations is not stoc...	false	false	false	false	true	false	true	false	false	false	false	false	false	false	false	false	false	false	214,129
2301.08386	Satellite Clustering for Non-Terrestrial Networks: Concept, Architectures, and Applications	Recently, mega-constellations with a massive number of low Earth orbit (LEO) satellites are being considered as a possible solution for providing global coverage due to relatively low latency and high throughput compared to geosynchronous orbit satellites. However, as the number of satellites and operators participatin...	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	341,177
2105.00855	Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness	Recent work has proposed stochastic Plackett-Luce (PL) ranking models as a robust choice for optimizing relevance and fairness metrics. Unlike their deterministic counterparts that require heuristic optimization algorithms, PL models are fully differentiable. Theoretically, they can be used to optimize ranking metrics ...	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	233,360
2106.04024	Manifold Topology Divergence: a Framework for Comparing Data Manifolds	We develop a framework for comparing data manifolds, aimed, in particular, towards the evaluation of deep generative models. We describe a novel tool, Cross-Barcode(P,Q), that, given a pair of distributions in a high-dimensional space, tracks multiscale topology spacial discrepancies between manifolds on which the dist...	false	false	false	false	true	false	true	false	false	false	false	true	false	false	false	false	false	false	239,553
2102.09603	Towards Solving the DeepFake Problem : An Analysis on Improving DeepFake Detection using Dynamic Face Augmentation	The creation of altered and manipulated faces has become more common due to the improvement of DeepFake generation methods. Simultaneously, we have seen detection models' development for differentiating between a manipulated and original face from image or video content. In this paper, we focus on identifying the limit...	false	false	false	false	true	false	true	false	false	false	false	true	false	false	false	false	false	false	220,827
2408.12925	ml_edm package: a Python toolkit for Machine Learning based Early Decision Making	\texttt{ml\_edm} is a Python 3 library, designed for early decision making of any learning tasks involving temporal/sequential data. The package is also modular, providing researchers an easy way to implement their own triggering strategy for classification, regression or any machine learning task. As of now, many Earl...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	482,938
2409.09072	Joint Model Assignment and Resource Allocation for Cost-Effective Mobile Generative Services	Artificial Intelligence Generated Content (AIGC) services can efficiently satisfy user-specified content creation demands, but the high computational requirements pose various challenges to supporting mobile users at scale. In this paper, we present our design of an edge-enabled AIGC service provisioning system to prop...	false	false	false	false	true	false	true	false	false	false	false	false	false	false	false	false	false	true	488,164
2312.01823	Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication	Large Language Models (LLMs) have recently made significant strides in complex reasoning tasks through the Chain-of-Thought technique. Despite this progress, their reasoning is often constrained by their intrinsic understanding, lacking external insights. To address this, we propose Exchange-of-Thought (EoT), a novel f...	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	412,605
2401.14799	Linearity and Classification of $\mathbb{Z}_2\mathbb{Z}_4\mathbb{Z}_8$-Linear Hadamard Codes	The $\mathbb{Z}_2\mathbb{Z}_4\mathbb{Z}_8$-additive codes are subgroups of $\mathbb{Z}_2^{\alpha_1} \times \mathbb{Z}_4^{\alpha_2} \times \mathbb{Z}_8^{\alpha_3}$. A $\mathbb{Z}_2\mathbb{Z}_4\mathbb{Z}_8$-linear Hadamard code is a Hadamard code which is the Gray map image of a $\mathbb{Z}_2\mathbb{Z}_4\mathbb{Z}_8$-add...	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	424,221
2303.00466	ASP: Learn a Universal Neural Solver!	Applying machine learning to combinatorial optimization problems has the potential to improve both efficiency and accuracy. However, existing learning-based solvers often struggle with generalization when faced with changes in problem distributions and scales. In this paper, we propose a new approach called ASP: Adapti...	false	false	false	false	true	false	true	false	false	false	false	false	false	false	false	false	false	false	348,609
2405.14976	Impact of Network Geometry on Large Networks with Intelligent Reflecting Surfaces	In wireless networks assisted by intelligent reflecting surfaces (IRSs), jointly modeling the signal received over the direct and indirect (reflected) paths is a difficult problem. In this work, we show that the network geometry (locations of serving base station, IRS, and user) can be captured using the so-called tria...	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	456,684
2312.15823	A Sequential Detection and Tracking of Very Low SNR Objects	A sequential detection and tracking (SDT) approach is proposed for detection and tracking of very low signal-to-noise (SNR) objects. The proposed approach is compared with two existing particle filter track-before-track (TBD) methods. It is shown that the former outperforms the latter. A conventional detection and trac...	true	false	false	false	true	false	false	true	false	false	true	false	false	false	false	false	false	false	418,143
2212.11984	DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-aware Scene Synthesis	Existing 3D-aware image synthesis approaches mainly focus on generating a single canonical object and show limited capacity in composing a complex scene containing a variety of objects. This work presents DisCoScene: a 3Daware generative model for high-quality and controllable scene synthesis. The key ingredient of our...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	337,930
1906.04477	Causal Discovery with Reinforcement Learning	Discovering causal structure among a set of variables is a fundamental problem in many empirical sciences. Traditional score-based casual discovery methods rely on various local heuristics to search for a Directed Acyclic Graph (DAG) according to a predefined score function. While these methods, e.g., greedy equivalenc...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	134,731
2412.18655	Simple is not Enough: Document-level Text Simplification using Readability and Coherence	In this paper, we present the SimDoc system, a simplification model considering simplicity, readability, and discourse aspects, such as coherence. In the past decade, the progress of the Text Simplification (TS) field has been mostly shown at a sentence level, rather than considering paragraphs or documents, a setting ...	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	520,513
1907.00934	Ich wei{\ss}, was du n\"achsten Sommer getan haben wirst: Predictive Policing in \"Osterreich	Predictive policing is a data-based, predictive analytical technique used in law enforcement. In this paper, we give an overview of the current situation in Austria and discuss technical, sociopolitical and legal questions raised by the use of PP, such as the lack of awareness of discriminatory structures in society, t...	false	false	false	false	true	false	false	false	false	false	false	false	false	true	false	false	false	false	137,181
2303.12936	Analyzing the Generalizability of Deep Contextualized Language Representations For Text Classification	This study evaluates the robustness of two state-of-the-art deep contextual language representations, ELMo and DistilBERT, on supervised learning of binary protest news classification and sentiment analysis of product reviews. A "cross-context" setting is enabled using test sets that are distinct from the training data...	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	353,462
2304.05638	Self Optimisation and Automatic Code Generation by Evolutionary Algorithms in PLC based Controlling Processes	The digital transformation of automation places new demands on data acquisition and processing in industrial processes. Logical relationships between acquired data and cyclic process sequences must be correctly interpreted and evaluated. To solve this problem, a novel approach based on evolutionary algorithms is propos...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	true	false	false	357,698
1901.06588	Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks	Efforts to reduce the numerical precision of computations in deep learning training have yielded systems that aggressively quantize weights and activations, yet employ wide high-precision accumulators for partial sums in inner-product operations to preserve the quality of convergence. The absence of any framework to an...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	119,035
2106.03932	How to Design a Three-Stage Architecture for Audio-Visual Active Speaker Detection in the Wild	Successful active speaker detection requires a three-stage pipeline: (i) audio-visual encoding for all speakers in the clip, (ii) inter-speaker relation modeling between a reference speaker and the background speakers within each frame, and (iii) temporal modeling for the reference speaker. Each stage of this pipeline ...	false	false	true	false	false	false	true	false	false	false	false	true	false	false	false	false	false	false	239,514
2306.02613	Controllable Lyrics-to-Melody Generation	Lyrics-to-melody generation is an interesting and challenging topic in AI music research field. Due to the difficulty of learning the correlations between lyrics and melody, previous methods suffer from low generation quality and lack of controllability. Controllability of generative models enables human interaction wi...	false	false	true	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	370,980
2012.02689	Isometric Multi-Shape Matching	Finding correspondences between shapes is a fundamental problem in computer vision and graphics, which is relevant for many applications, including 3D reconstruction, object tracking, and style transfer. The vast majority of correspondence methods aim to find a solution between pairs of shapes, even if multiple instanc...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	209,852
2406.07908	Ablation Based Counterfactuals	Diffusion models are a class of generative models that generate high-quality samples, but at present it is difficult to characterize how they depend upon their training data. This difficulty raises scientific and regulatory questions, and is a consequence of the complexity of diffusion models and their sampling process...	false	false	false	false	true	false	true	false	false	false	false	false	false	false	false	false	false	false	463,272
2207.09708	RV4JaCa -- Runtime Verification for Multi-Agent Systems	This paper presents a Runtime Verification (RV) approach for Multi-Agent Systems (MAS) using the JaCaMo framework. Our objective is to bring a layer of security to the MAS. This layer is capable of controlling events during the execution of the system without needing a specific implementation in the behaviour of each a...	false	false	false	false	true	false	false	false	false	false	false	false	false	false	true	false	false	true	308,996
2310.00789	Testing the Limits of Unified Sequence to Sequence LLM Pretraining on Diverse Table Data Tasks	Tables stored in databases and tables which are present in web pages and articles account for a large part of semi-structured data that is available on the internet. It then becomes pertinent to develop a modeling approach with large language models (LLMs) that can be used to solve diverse table tasks such as semantic ...	false	false	false	false	false	false	true	false	true	false	false	false	false	false	false	false	false	false	396,145
1910.09126	Communication-Efficient Local Decentralized SGD Methods	Recently, the technique of local updates is a powerful tool in centralized settings to improve communication efficiency via periodical communication. For decentralized settings, it is still unclear how to efficiently combine local updates and decentralized communication. In this work, we propose an algorithm named as L...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	150,085
2408.05827	Divergence Maximizing Linear Projection for Supervised Dimension Reduction	This paper proposes two linear projection methods for supervised dimension reduction using only the first and second-order statistics. The methods, each catering to a different parameter regime, are derived under the general Gaussian model by maximizing the Kullback-Leibler divergence between the two classes in the pro...	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	479,957
2409.20242	Design and validation of a fuzzy logic controller for multi-section continuum robots	The rise of multi-section continuum robots (CRs) has captivated researchers and practitioners across diverse industries and medical fields. Accurate modeling of these dexterous manipulators continues to be a significant challenge. This complexity stems primarily from many nonlinearities that plague their behavior, incl...	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	493,048
2412.05437	DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services	In Location-Based Services (LBS), such as food delivery, a fundamental task is segmenting Areas of Interest (AOIs), aiming at partitioning the urban geographical spaces into non-overlapping regions. Traditional AOI segmentation algorithms primarily rely on road networks to partition urban areas. While promising in mode...	false	false	false	false	true	false	true	false	false	false	false	false	false	false	false	false	false	false	514,823
2106.04007	On the Coupling of Depth and Egomotion Networks for Self-Supervised Structure from Motion	Structure from motion (SfM) has recently been formulated as a self-supervised learning problem, where neural network models of depth and egomotion are learned jointly through view synthesis. Herein, we address the open problem of how to best couple, or link, the depth and egomotion network components, so that informati...	false	false	false	false	false	false	false	true	false	false	false	true	false	false	false	false	false	false	239,543
2307.05623	A DeepLearning Framework for Dynamic Estimation of Origin-Destination Sequence	OD matrix estimation is a critical problem in the transportation domain. The principle method uses the traffic sensor measured information such as traffic counts to estimate the traffic demand represented by the OD matrix. The problem is divided into two categories: static OD matrix estimation and dynamic OD matrices s...	false	false	false	false	true	false	true	false	false	false	false	false	false	false	false	false	false	false	378,804
1602.04514	Low Correlation Sequences from Linear Combinations of Characters	Pairs of binary sequences formed using linear combinations of multiplicative characters of finite fields are exhibited that, when compared to random sequence pairs, simultaneously achieve significantly lower mean square autocorrelation values (for each sequence in the pair) and significantly lower mean square crosscorr...	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	52,154
2106.07165	Self-training Guided Adversarial Domain Adaptation For Thermal Imagery	Deep models trained on large-scale RGB image datasets have shown tremendous success. It is important to apply such deep models to real-world problems. However, these models suffer from a performance bottleneck under illumination changes. Thermal IR cameras are more robust against such changes, and thus can be very usef...	false	false	false	false	false	false	true	false	false	false	false	true	false	false	false	false	false	false	240,801
2302.07728	AIDA: Legal Judgment Predictions for Non-Professional Fact Descriptions via Partial-and-Imbalanced Domain Adaptation	In this paper, we study the problem of legal domain adaptation problem from an imbalanced source domain to a partial target domain. The task aims to improve legal judgment predictions for non-professional fact descriptions. We formulate this task as a partial-and-imbalanced domain adaptation problem. Though deep domain...	false	false	false	false	true	false	false	false	true	false	false	false	false	false	false	false	false	false	345,812
2407.09294	SS-SfP:Neural Inverse Rendering for Self Supervised Shape from (Mixed) Polarization	We present a novel inverse rendering-based framework to estimate the 3D shape (per-pixel surface normals and depth) of objects and scenes from single-view polarization images, the problem popularly known as Shape from Polarization (SfP). The existing physics-based and learning-based methods for SfP perform under certai...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	472,522
2310.16401	Graph Neural Networks with a Distribution of Parametrized Graphs	Traditionally, graph neural networks have been trained using a single observed graph. However, the observed graph represents only one possible realization. In many applications, the graph may encounter uncertainties, such as having erroneous or missing edges, as well as edge weights that provide little informative valu...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	402,715
2006.00227	BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances	Bregman distances (also known as Bregman divergences) are widely used in machine learning, speech recognition and signal processing, and kNN searches with Bregman distances have become increasingly important with the rapid advances of multimedia applications. Data in multimedia applications such as images and videos ar...	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	false	true	false	179,412
2110.09881	HM-Net: A Regression Network for Object Center Detection and Tracking on Wide Area Motion Imagery	Wide Area Motion Imagery (WAMI) yields high-resolution images with a large number of extremely small objects. Target objects have large spatial displacements throughout consecutive frames. This nature of WAMI images makes object tracking and detection challenging. In this paper, we present our deep neural network-based...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	261,958
1908.07423	Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control	Recent progress on physics-based character animation has shown impressive breakthroughs on human motion synthesis, through imitating motion capture data via deep reinforcement learning. However, results have mostly been demonstrated on imitating a single distinct motion pattern, and do not generalize to interactive tas...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	142,291
cs/0501008	Multipartite Secret Correlations and Bound Information	We consider the problem of secret key extraction when $n$ honest parties and an eavesdropper share correlated information. We present a family of probability distributions and give the full characterization of its distillation properties. This formalism allows us to design a rich variety of cryptographic scenarios. In ...	false	false	false	false	false	false	false	false	false	true	false	false	true	false	false	false	false	false	538,479
1610.05434	A Tensor Network Kalman filter with an application in recursive MIMO Volterra system identification	This article introduces a Tensor Network Kalman filter, which can estimate state vectors that are exponentially large without ever having to explicitly construct them. The Tensor Network Kalman filter also easily accommodates the case where several different state vectors need to be estimated simultaneously. The key li...	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	62,510
2002.11192	End-to-End Models for the Analysis of System 1 and System 2 Interactions based on Eye-Tracking Data	While theories postulating a dual cognitive system take hold, quantitative confirmations are still needed to understand and identify interactions between the two systems or conflict events. Eye movements are among the most direct markers of the individual attentive load and may serve as an important proxy of informatio...	false	false	false	false	false	false	true	false	false	false	false	true	false	false	false	false	false	false	165,629
2305.19864	Designing Closed-Loop Models for Task Allocation	Automatically assigning tasks to people is challenging because human performance can vary across tasks for many reasons. This challenge is further compounded in real-life settings in which no oracle exists to assess the quality of human decisions and task assignments made. Instead, we find ourselves in a "closed" decis...	true	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	369,715
1703.08614	GraphZip: Dictionary-based Compression for Mining Graph Streams	A massive amount of data generated today on platforms such as social networks, telecommunication networks, and the internet in general can be represented as graph streams. Activity in a network's underlying graph generates a sequence of edges in the form of a stream; for example, a social network may generate a graph s...	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	true	false	70,613
2501.03370	Advanced Machine Learning Techniques for Social Support Detection on Social Media	The widespread use of social media highlights the need to understand its impact, particularly the role of online social support. This study uses a dataset focused on online social support, which includes binary and multiclass classifications of social support content on social media. The classification of social suppor...	true	false	false	false	true	false	true	false	true	false	false	false	false	false	false	false	false	false	522,849
2210.15878	Facial Action Unit Detection and Intensity Estimation from Self-supervised Representation	As a fine-grained and local expression behavior measurement, facial action unit (FAU) analysis (e.g., detection and intensity estimation) has been documented for its time-consuming, labor-intensive, and error-prone annotation. Thus a long-standing challenge of FAU analysis arises from the data scarcity of manual annota...	false	false	false	false	true	false	false	false	false	false	false	true	false	false	false	false	false	false	327,122
2006.11156	Why Stake When You Can Borrow?	As smart contract platforms autonomously manage billions of dollars of capital, quantifying the portfolio risk that investors engender in these systems is increasingly important. Recent work illustrates that Proof of Stake (PoS) is vulnerable to financial attacks arising from on-chain lending and has worse capital effi...	false	false	false	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	183,123
2302.02116	Knowledge Graph Completion Method Combined With Adaptive Enhanced Semantic Information	Translation models tend to ignore the rich semantic information in triads in the process of knowledge graph complementation. To remedy this shortcoming, this paper constructs a knowledge graph complementation method that incorporates adaptively enhanced semantic information. The hidden semantic information inherent in ...	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	343,860
1203.5602	On the Application of Noisy Network Coding to the Relay-Eavesdropper Channel	In this paper, we consider the design of a new secrecy transmission scheme for a four-node relay-eavesdropper channel. The key idea of the proposed scheme is to combine noisy network coding with the interference assisted strategy for wiretap channel with a helping interferer. A new achievable secrecy rate is characteri...	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	15,121
2308.15458	Meta-learning for model-reference data-driven control	One-shot direct model-reference control design techniques, like the Virtual Reference Feedback Tuning (VRFT) approach, offer time-saving solutions for the calibration of fixed-structure controllers for dynamic systems. Nonetheless, such methods are known to be highly sensitive to the quality of the available data, ofte...	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	388,686
2402.01182	In-Context Learning for Few-Shot Nested Named Entity Recognition	In nested Named entity recognition (NER), entities are nested with each other, and thus requiring more data annotations to address. This leads to the development of few-shot nested NER, where the prevalence of pretrained language models with in-context learning (ICL) offers promising solutions. In this work, we introdu...	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	425,901
2208.07810	A Large-Scale Dataset of Twitter Chatter about Online Learning during the Current COVID-19 Omicron Wave	The COVID-19 Omicron variant, reported to be the most immune evasive variant of COVID-19, is resulting in a surge of COVID-19 cases globally. This has caused schools, colleges, and universities in different parts of the world to transition to online learning. As a result, social media platforms such as Twitter are seei...	false	false	false	true	true	false	true	false	false	false	false	false	false	true	false	false	false	false	313,161
2304.07707	Non-exemplar Class-incremental Learning by Random Auxiliary Classes Augmentation and Mixed Features	Non-exemplar class-incremental learning refers to classifying new and old classes without storing samples of old classes. Since only new class samples are available for optimization, it often occurs catastrophic forgetting of old knowledge. To alleviate this problem, many new methods are proposed such as model distilla...	false	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	358,449
2310.00416	Refutation of Shapley Values for XAI -- Additional Evidence	Recent work demonstrated the inadequacy of Shapley values for explainable artificial intelligence (XAI). Although to disprove a theory a single counterexample suffices, a possible criticism of earlier work is that the focus was solely on Boolean classifiers. To address such possible criticism, this paper demonstrates t...	false	false	false	false	true	false	true	false	false	false	false	false	false	false	false	false	false	false	395,971
1910.04969	Remote UAV Online Path Planning via Neural Network Based Opportunistic Control	This letter proposes a neural network (NN) aided remote unmanned aerial vehicle (UAV) online control algorithm, coined oHJB. By downloading a UAV's state, a base station (BS) trains an HJB NN that solves the Hamilton-Jacobi-Bellman equation (HJB) in real time, yielding the optimal control action. Initially, the BS uplo...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	true	148,929
2408.02011	Isolating Signatures of Cyberattacks under Stressed Grid Conditions	In a controlled cyber-physical network, such as a power grid, any malicious data injection in the sensor measurements can lead to widespread impact due to the actions of the closed-loop controllers. While fast identification of the attack signatures is imperative for reliable operations, it is challenging to do so in a...	false	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	478,463
1305.2496	Perturbation centrality and Turbine: a novel centrality measure obtained using a versatile network dynamics tool	Analysis of network dynamics became a focal point to understand and predict changes of complex systems. Here we introduce Turbine, a generic framework enabling fast simulation of any algorithmically definable dynamics on very large networks. Using a perturbation transmission model inspired by communicating vessels, we ...	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	false	24,521
2004.11143	Outage Analysis of Cognitive Electric Vehicular Networks over Mixed RF/VLC Channels	Modern transportation infrastructures are considered as one of the main sources of the greenhouse gases emitted into the atmosphere. This situation requires the decision-making players to enact the mass use of electric vehicles (EVs) which, in turn, highly demand novel secure communication technologies robust to variou...	false	false	false	false	false	false	false	false	false	true	false	false	false	false	false	false	false	true	173,829
1309.6823	Convex Relaxations of Bregman Divergence Clustering	Although many convex relaxations of clustering have been proposed in the past decade, current formulations remain restricted to spherical Gaussian or discriminative models and are susceptible to imbalanced clusters. To address these shortcomings, we propose a new class of convex relaxations that can be flexibly applied...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	27,286
1601.07108	Centrality Measures for Networks with Community Structure	Understanding the network structure, and finding out the influential nodes is a challenging issue in the large networks. Identifying the most influential nodes in the network can be useful in many applications like immunization of nodes in case of epidemic spreading, during intentional attacks on complex networks. A lo...	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	false	false	51,381
2102.04518	A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks	Efficiently solving problems with large action spaces using A* search has been of importance to the artificial intelligence community for decades. This is because the computation and memory requirements of A* search grow linearly with the size of the action space. This burden becomes even more apparent when A* search u...	false	false	false	false	true	false	true	false	false	false	false	false	false	false	false	false	false	false	219,134
2207.11559	Tensor-based Multi-view Spectral Clustering via Shared Latent Space	Multi-view Spectral Clustering (MvSC) attracts increasing attention due to diverse data sources. However, most existing works are prohibited in out-of-sample predictions and overlook model interpretability and exploration of clustering results. In this paper, a new method for MvSC is proposed via a shared latent space ...	false	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	309,688
1607.05806	A Local-Global LDA Model for Discovering Geographical Topics from Social Media	Micro-blogging services can track users' geo-locations when users check-in their places or use geo-tagging which implicitly reveals locations. This "geo tracking" can help to find topics triggered by some events in certain regions. However, discovering such topics is very challenging because of the large amount of nois...	false	false	false	false	false	true	false	false	false	false	false	false	false	false	false	false	false	false	58,797
2202.01459	Concept Bottleneck Model with Additional Unsupervised Concepts	With the increasing demands for accountability, interpretability is becoming an essential capability for real-world AI applications. However, most methods utilize post-hoc approaches rather than training the interpretable model. In this article, we propose a novel interpretable model based on the concept bottleneck mod...	false	false	false	false	true	false	true	false	false	false	false	true	false	false	false	false	false	false	278,489
2404.08491	Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation	Large-scale multilingual Pretrained Language Models (mPLMs) yield impressive performance on cross-language tasks, yet significant performance disparities exist across different languages within the same mPLM. Previous studies endeavored to narrow these disparities by supervise fine-tuning the mPLMs with multilingual da...	false	false	false	false	true	false	false	false	true	false	false	false	false	false	false	false	false	false	446,264

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