Model Compression

Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices NeurIPS 2024 Reasons and Solutions for the Decline in Model Performance after Editing NeurIPS 2024 Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing EMNLP 2024 Reducing the Side-Effects of Oscillations in Training of Quantized YOLO Networks WACV 2024 Reducing Transformer Key-Value Cache Size with Cross-Layer Attention NeurIPS 2024 Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector CVPR 2024 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 Transformer Pruning for Finetuning of Large Models CVPR 2024 Retaining Key Information under High Compression Ratios: Query-Guided Compressor for LLMs ACL 2024 RevMUX: Data Multiplexing with Reversible Adapters for Efficient LLM Batch Inference EMNLP 2024 RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative Adversarial Networks AAAI 2024 Robustness-Guided Image Synthesis for Data-Free Quantization AAAI 2024 RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization EMNLP 2024 S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity NeurIPS 2024 SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction AAAI 2024 SCA: Selective Compression Attention for Efficiently Extending the Context Window of Large Language Models EMNLP 2024 SCEdit: Efficient and Controllable Image Diffusion Generation via Skip Connection Editing CVPR 2024 Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices NeurIPS 2024 Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection AAAI 2024 SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization NeurIPS 2024 ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models EMNLP 2024 ShareBERT: Embeddings Are Capable of Learning Hidden Layers AAAI 2024 Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood NeurIPS 2024