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Nov 7, 2023
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Oct 27, 2023
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Oct 27, 2023
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Oct 27, 2023
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Feb 4, 2024
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Experts Weights Averaging: A New General Training Scheme for Vision Transformers
Paper • 2308.06093 • Published • 2 -
Weight Averaging Improves Knowledge Distillation under Domain Shift
Paper • 2309.11446 • Published • 1 -
SWAMP: Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning
Paper • 2305.14852 • Published • 3 -
Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
Paper • 2306.16788 • Published • 1
Collection by 
Oct 27, 2023
Collection by 
Oct 27, 2023
Collection by 
Oct 27, 2023
Collection by Jul 8, 2024
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Experts Weights Averaging: A New General Training Scheme for Vision Transformers
Paper • 2308.06093 • Published • 2 -
Platypus: Quick, Cheap, and Powerful Refinement of LLMs
Paper • 2308.07317 • Published • 25 -
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers
Paper • 2211.11315 • Published • 1 -
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Paper • 2307.13269 • Published • 34
Collection by Sep 30, 2024
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S^{3}: Increasing GPU Utilization during Generative Inference for Higher Throughput
Paper • 2306.06000 • Published • 1 -
PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference
Paper • 2405.12532 • Published -
SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget
Paper • 2404.04793 • Published • 1 -
MiniCache: KV Cache Compression in Depth Dimension for Large Language Models
Paper • 2405.14366 • Published • 3
Collection by Nov 7, 2023
Collection by Oct 27, 2023
Collection by Oct 27, 2023
Collection by Oct 27, 2023
Collection by Oct 27, 2023
Collection by Oct 27, 2023
Collection by Oct 27, 2023
Collection by Jul 8, 2024
-
Experts Weights Averaging: A New General Training Scheme for Vision Transformers
Paper • 2308.06093 • Published • 2 -
Platypus: Quick, Cheap, and Powerful Refinement of LLMs
Paper • 2308.07317 • Published • 25 -
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers
Paper • 2211.11315 • Published • 1 -
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Paper • 2307.13269 • Published • 34
Collection by Feb 4, 2024
-
Experts Weights Averaging: A New General Training Scheme for Vision Transformers
Paper • 2308.06093 • Published • 2 -
Weight Averaging Improves Knowledge Distillation under Domain Shift
Paper • 2309.11446 • Published • 1 -
SWAMP: Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning
Paper • 2305.14852 • Published • 3 -
Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
Paper • 2306.16788 • Published • 1
Collection by Sep 30, 2024
-
S^{3}: Increasing GPU Utilization during Generative Inference for Higher Throughput
Paper • 2306.06000 • Published • 1 -
PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference
Paper • 2405.12532 • Published -
SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget
Paper • 2404.04793 • Published • 1 -
MiniCache: KV Cache Compression in Depth Dimension for Large Language Models
Paper • 2405.14366 • Published • 3