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model compression

3302 papers

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MC

Co-occurring keywords

knowledge distillation (3725) large language model (13587) neural network (6616) efficient computing (781) neural network optimization (1293) transfer learning (5449) convolutional neural network (4226) neural network pruning (265) language model (4599) parameter efficiency (417)

Papers

Gradient-based Parameter Selection for Efficient Fine-Tuning CVPR 2024
Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models CVPR 2024
Distilling Semantic Priors from SAM to Efficient Image Restoration Models CVPR 2024
Plug-and-Play Diffusion Distillation CVPR 2024
Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models CVPR 2024
Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture CVPR 2024
SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation CVPR 2024
DeepCache: Accelerating Diffusion Models for Free CVPR 2024
MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection CVPR 2024
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models CVPR 2024
Pick-or-Mix: Dynamic Channel Sampling for ConvNets CVPR 2024
Efficient Stitchable Task Adaptation CVPR 2024
Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning CVPR 2024
UniPTS: A Unified Framework for Proficient Post-Training Sparsity CVPR 2024
SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training NIPS 2024
Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers NIPS 2024
Communication Efficient Distributed Training with Distributed Lion NIPS 2024
BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference NIPS 2024
QBB: Quantization with Binary Bases for LLMs NIPS 2024
KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization NIPS 2024
MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers NIPS 2024
Don't Look Twice: Faster Video Transformers with Run-Length Tokenization NIPS 2024
Compact Language Models via Pruning and Knowledge Distillation NIPS 2024
DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion NIPS 2024
SparseLLM: Towards Global Pruning of Pre-trained Language Models NIPS 2024