model compression

Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures CVPR 2023 BiBench: Benchmarking and Analyzing Network Binarization ICML 2023 Bi-directional Masks for Efficient N:M Sparse Training ICML 2023 BiMatting: Efficient Video Matting via Binarization NeurIPS 2023 Binarized Neural Machine Translation NeurIPS 2023 Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis CVPR 2023 Binary and Ternary Natural Language Generation ACL 2023 Bit-Pruning: A Sparse Multiplication-Less Dot-Product ICLR 2023 Bit-Shrinking: Limiting Instantaneous Sharpness for Improving Post-Training Quantization CVPR 2023 BiViT: Extremely Compressed Binary Vision Transformers ICCV 2023 Block and Subword-Scaling Floating-Point (BSFP) : An Efficient Non-Uniform Quantization For Low Precision Inference ICLR 2023 Boosted Dynamic Neural Networks AAAI 2023 Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation CVPR 2023 Boosting Graph Neural Networks via Adaptive Knowledge Distillation AAAI 2023 Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models EMNLP 2023 Boosting Verification of Deep Reinforcement Learning via Piece-Wise Linear Decision Neural Networks NeurIPS 2023 Boost Transformer-based Language Models with GPU-Friendly Sparsity and Quantization ACL 2023 Boost Vision Transformer With GPU-Friendly Sparsity and Quantization CVPR 2023 Boundary-Aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval CVPR 2023 Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection EMNLP 2023 Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection ICCV 2023 Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models ACL 2023 BT^2: Backward-compatible Training with Basis Transformation ICCV 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