Model Compression

FracBits: Mixed Precision Quantization via Fractional Bit-Widths AAAI 2021 GDP: Stabilized Neural Network Pruning via Gates With Differentiable Polarization ICCV 2021 Generalizable Mixed-Precision Quantization via Attribution Rank Preservation ICCV 2021 GhostBERT: Generate More Features with Cheap Operations for BERT ACL 2021 Greedy Search Algorithm for Mixed Precision in Post-Training Quantization of Convolutional Neural Network Inspired by Submodular Optimization ACML 2021 Grey-box Extraction of Natural Language Models ICML 2021 HAWQ-V3: Dyadic Neural Network Quantization ICML 2021 HiNet: Deep Image Hiding by Invertible Network ICCV 2021 Holistic Filter Pruning for Efficient Deep Neural Networks WACV 2021 hub at SemEval-2021 Task 5: Toxic Span Detection Based on Word-Level Classification SemEval 2021 IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers NeurIPS 2021 Importance-based Neuron Allocation for Multilingual Neural Machine Translation ACL 2021 Improving Accuracy of Binary Neural Networks Using Unbalanced Activation Distribution CVPR 2021 Improving Low-Precision Network Quantization via Bin Regularization ICCV 2021 Improving Neural Network Efficiency via Post-Training Quantization With Adaptive Floating-Point ICCV 2021 Iterative Deep Model Compression and Acceleration in the Frequency Domain ACML 2021 KiloNeRF: Speeding Up Neural Radiance Fields With Thousands of Tiny MLPs ICCV 2021 Knodle: Modular Weakly Supervised Learning with PyTorch ACL 2021 Knowledge distillation via softmax regression representation learning ICLR 2021 KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning CVPR 2021 Layer-adaptive Sparsity for the Magnitude-based Pruning ICLR 2021 Layer-wise Model Pruning based on Mutual Information EMNLP 2021 Layer-Wise Neural Network Compression via Layer Fusion ACML 2021 Learning Diverse-Structured Networks for Adversarial Robustness ICML 2021 Learning Frequency Domain Approximation for Binary Neural Networks NeurIPS 2021