model compression

BCNet: Searching for Network Width With Bilaterally Coupled Network CVPR 2021 BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks EMNLP 2021 Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference EMNLP 2021 Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression EMNLP 2021 Bias Loss for Mobile Neural Networks ICCV 2021 Bi-GCN: Binary Graph Convolutional Network CVPR 2021 BinaryBERT: Pushing the Limit of BERT Quantization ACL 2021 Binary Graph Neural Networks CVPR 2021 Binary Neural Network for Speaker Verification Interspeech 2021 Bit-Mixer: Mixed-Precision Networks With Runtime Bit-Width Selection ICCV 2021 Block-wise Word Embedding Compression Revisited: Better Weighting and Structuring EMNLP 2021 BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction ICLR 2021 BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization ICLR 2021 CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks AAAI 2021 CBP: backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method NeurIPS 2021 CDFI: Compression-Driven Network Design for Frame Interpolation CVPR 2021 Channel-Wise Knowledge Distillation for Dense Prediction ICCV 2021 Chasing Sparsity in Vision Transformers: An End-to-End Exploration NeurIPS 2021 CHIP: CHannel Independence-based Pruning for Compact Neural Networks NeurIPS 2021 ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations ICLR 2021 Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications EMNLP 2021 ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic CVPR 2021 Cluster-Promoting Quantization With Bit-Drop for Minimizing Network Quantization Loss ICCV 2021 Co-Design of Communication and Machine Inference for Cloud Robotics RSS 2021 Collaborative Group Learning AAAI 2021