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- $F^3Set$_ Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos
- $InterLCM$_ Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration
- $_gamma-$MoD_ Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models
- $_mathbb{X}$-Sample Contrastive Loss_ Improving Contrastive Learning with Sample Similarity Graphs
- $_phi$-Update_ A Class of Policy Update Methods with Policy Convergence Guarantee
- $_sigma$-zero_ Gradient-based Optimization of $_ell_0$-norm Adversarial Examples
- $_text{D}_{2}_text{O}$_ Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models
- $q$-exponential family for policy optimization
- (Mis)Fitting Scaling Laws_ A Survey of Scaling Law Fitting Techniques in Deep Learning
- 3D StreetUnveiler with Semantic-aware 2DGS - a simple baseline
- 3D Vision-Language Gaussian Splatting
- 3D-AffordanceLLM_ Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds
- 3D-MolT5_ Leveraging Discrete Structural Information for Molecule-Text Modeling
- 3D-Properties_ Identifying Challenges in DPO and Charting a Path Forward
- 3D-SPATIAL MULTIMODAL MEMORY
- 3DGS-Drag_ Dragging Gaussians for Intuitive Point-Based 3D Editing
- 3DMolFormer_ A Dual-channel Framework for Structure-based Drug Discovery
- 3DTrajMaster_ Mastering 3D Trajectory for Multi-Entity Motion in Video Generation
- 3DitScene_ Editing Any Scene via Language-guided Disentangled Gaussian Splatting
- 6D Object Pose Tracking in Internet Videos for Robotic Manipulation
- 6DGS_ Enhanced Direction-Aware Gaussian Splatting for Volumetric Rendering
- A Benchmark for Semantic Sensitive Information in LLMs Outputs
- A Black Swan Hypothesis_ The Role of Human Irrationality in AI Safety
- A Causal Lens for Learning Long-term Fair Policies
- A Closer Look at Machine Unlearning for Large Language Models
- A Coefficient Makes SVRG Effective
- A Common Pitfall of Margin-based Language Model Alignment_ Gradient Entanglement
- A Computational Framework for Modeling Emergence of Color Vision in the Human Brain
- A Conditional Independence Test in the Presence of Discretization
- A Decade's Battle on Dataset Bias_ Are We There Yet_
- A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization
- A Differentiable Rank-Based Objective for Better Feature Learning
- A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations
- A Formal Framework for Understanding Length Generalization in Transformers
- A General Framework for Off-Policy Learning with Partially-Observed Reward
- A General Framework for Producing Interpretable Semantic Text Embeddings
- A Generalist Hanabi Agent
- A Generic Framework for Conformal Fairness
- A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization
- A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation
- A Large-scale Training Paradigm for Graph Generative Models
- A Little Goes a Long Way_ Efficient Long Context Training and Inference with Partial Contexts
- A Meta-Learning Approach to Bayesian Causal Discovery
- A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules
- A Multiscale Frequency Domain Causal Framework for Enhanced Pathological Analysis
- A New Perspective on Shampoo's Preconditioner
- A Non-Contrastive Learning Framework for Sequential Recommendation with Preference-Preserving Profile Generation
- A Percolation Model of Emergence_ Analyzing Transformers Trained on a Formal Language
- A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence
- A Probabilistic Perspective on Unlearning and Alignment for Large Language Models