Model Compression

Exploring Token Pruning in Vision State Space Models NeurIPS 2024 F³-Pruning: A Training-Free and Generalized Pruning Strategy towards Faster and Finer Text-to-Video Synthesis AAAI 2024 FanLoRA: Fantastic LoRAs and Where to Find Them in Large Language Model Fine-tuning EMNLP 2024 Fast and Memory-Efficient Video Diffusion Using Streamlined Inference NeurIPS 2024 Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward IJCAI 2024 FasterVD: On Acceleration of Video Diffusion Models IJCAI 2024 Fast Forwarding Low-Rank Training EMNLP 2024 Fast Matrix Multiplications for Lookup Table-Quantized LLMs EMNLP 2024 Fast Randomized Low-Rank Adaptation of Pre-trained Language Models with PAC Regularization ACL 2024 FedMef: Towards Memory-efficient Federated Dynamic Pruning CVPR 2024 FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping EMNLP 2024 Find the Lady: Permutation and Re-synchronization of Deep Neural Networks AAAI 2024 FLORA: Fine-Grained Low-Rank Architecture Search for Vision Transformer WACV 2024 Fluctuation-Based Adaptive Structured Pruning for Large Language Models AAAI 2024 FM-Delta: Lossless Compression for Storing Massive Fine-tuned Foundation Models NeurIPS 2024 FouRA: Fourier Low-Rank Adaptation NeurIPS 2024 From Bottom to Top: Extending the Potential of Parameter Efficient Fine-Tuning EMNLP 2024 Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching CVPR 2024 GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation EMNLP 2024 Gradient-based Parameter Selection for Efficient Fine-Tuning CVPR 2024 Group and Shuffle: Efficient Structured Orthogonal Parametrization NeurIPS 2024 GTP-ViT: Efficient Vision Transformers via Graph-Based Token Propagation WACV 2024 Hear You Say You: An Efficient Framework for Marine Mammal Sounds’ Classification AAAI 2024 HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning NeurIPS 2024 Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models EMNLP 2024