model compression

REPrune: Channel Pruning via Kernel Representative Selection AAAI 2024 ResLoRA: Identity Residual Mapping in Low-Rank Adaption ACL 2024 Resource Efficient Deep Learning Hardware Watermarks with Signature Alignment AAAI 2024 Resource-Efficient Speech Quality Prediction through Quantization Aware Training and Binary Activation Maps Interspeech 2024 Resource-Efficient Transformer Pruning for Finetuning of Large Models CVPR 2024 Retaining Key Information under High Compression Ratios: Query-Guided Compressor for LLMs ACL 2024 Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models ICLR 2024 Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective NeurIPS 2024 Rethinking Imbalance in Image Super-Resolution for Efficient Inference NeurIPS 2024 Rethinking Knowledge Distillation With Raw Features for Semantic Segmentation WACV 2024 Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization EMNLP 2024 Retraining-Free Model Quantization via One-Shot Weight-Coupling Learning CVPR 2024 Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference NeurIPS 2024 Revisiting Knowledge Distillation for Autoregressive Language Models ACL 2024 Revisiting Neural Networks for Continual Learning: An Architectural Perspective IJCAI 2024 RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative Adversarial Networks AAAI 2024 Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples CVPR 2024 Robustness-Guided Image Synthesis for Data-Free Quantization AAAI 2024 RRADistill: Distilling LLMs’ Passage Ranking Ability for Long-Tail Queries Document Re-Ranking on a Search Engine EMNLP 2024 S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity NeurIPS 2024 S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning NeurIPS 2024 Safe and Robust Watermark Injection with a Single OoD Image ICLR 2024 Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models NeurIPS 2024 SAML: Speaker Adaptive Mixture of LoRA Experts for End-to-End ASR Interspeech 2024 Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention EMNLP 2024