Model Compression

Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models EMNLP 2023 Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary CVPR 2023 Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection EMNLP 2023 CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network With Large Input CVPR 2023 Cache me if you Can: an Online Cost-aware Teacher-Student framework to Reduce the Calls to Large Language Models EMNLP 2023 Calibrating a Deep Neural Network with Its Predecessors IJCAI 2023 Can We Find Strong Lottery Tickets in Generative Models? AAAI 2023 CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization ACL 2023 Certified Robust Neural Networks: Generalization and Corruption Resistance ICML 2023 COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models ICML 2023 CoMFLP: Correlation Measure Based Fast Search on ASR Layer Pruning Interspeech 2023 Complement Sparsification: Low-Overhead Model Pruning for Federated Learning AAAI 2023 Complexity-Guided Slimmable Decoder for Efficient Deep Video Compression CVPR 2023 Compressed MoE ASR Model Based on Knowledge Distillation and Quantization Interspeech 2023 Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering EMNLP 2023 Compressing Transformers: Features Are Low-Rank, but Weights Are Not! AAAI 2023 Compressing Volumetric Radiance Fields to 1 MB CVPR 2023 Co-training and Co-distillation for Quality Improvement and Compression of Language Models EMNLP 2023 CP3: Channel Pruning Plug-In for Point-Based Networks CVPR 2023 CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness AAAI 2023 Decomposed Prompt Tuning via Low-Rank Reparameterization EMNLP 2023 Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time ICML 2023 DepGraph: Towards Any Structural Pruning CVPR 2023 Detecting and Repairing Deviated Outputs of Compressed Models ACML 2023 DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-efficient Fine-Tuning ICCV 2023