Model Compression

VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models EMNLP 2024 WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models NeurIPS 2024 WARDEN: Multi-Directional Backdoor Watermarks for Embedding-as-a-Service Copyright Protection ACL 2024 Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation NeurIPS 2024 Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models AAAI 2024 Waterfall: Scalable Framework for Robust Text Watermarking and Provenance for LLMs EMNLP 2024 Weighted Layer Averaging RoBERTa for Black-Box Machine-Generated Text Detection SemEval 2024 What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation AAAI 2024 Wino Vidi Vici: Conquering Numerical Instability of 8-Bit Winograd Convolution for Accurate Inference Acceleration on Edge WACV 2024 WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models CVPR 2024 WRP: Weight Recover Prune for Structured Sparsity ACL 2024 xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics EMNLP 2024 XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts ACL 2024 Your Transferability Barrier is Fragile: Free-Lunch for Transferring the Non-Transferable Learning CVPR 2024 Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers CVPR 2024 ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification NeurIPS 2024 1% VS 100%: Parameter-Efficient Low Rank Adapter for Dense Predictions CVPR 2023 2-bit Conformer quantization for automatic speech recognition Interspeech 2023 Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism NeurIPS 2023 Accelerating Dataset Distillation via Model Augmentation CVPR 2023 Accelerating Multiple Intent Detection and Slot Filling via Targeted Knowledge Distillation EMNLP 2023 AccelIR: Task-Aware Image Compression for Accelerating Neural Restoration CVPR 2023 Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning EMNLP 2023 Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition CVPR 2023 Adaptive Contrastive Knowledge Distillation for BERT Compression ACL 2023