Model Compression

Iterative Deep Model Compression and Acceleration in the Frequency Domain ACML 2021 Knowledge Evolution in Neural Networks CVPR 2021 KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning CVPR 2021 Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search CVPR 2021 Large Scale Multi-Illuminant (LSMI) Dataset for Developing White Balance Algorithm Under Mixed Illumination ICCV 2021 Large Scale Private Learning via Low-rank Reparametrization ICML 2021 LassoNet: A Neural Network with Feature Sparsity JMLR 2021 Layer-Wise Neural Network Compression via Layer Fusion ACML 2021 Layer-Wise Searching for 1-Bit Detectors CVPR 2021 Learnable Companding Quantization for Accurate Low-Bit Neural Networks CVPR 2021 Learning Compact Metrics for MT EMNLP 2021 Learning Frequency Domain Approximation for Binary Neural Networks NeurIPS 2021 Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch ICLR 2021 Lightweight Adapter Tuning for Multilingual Speech Translation ACL 2021 Linearly Replaceable Filters for Deep Network Channel Pruning AAAI 2021 Lossless Compression of Structured Convolutional Models via Lifting ICLR 2021 Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision ICML 2021 Manifold Regularized Dynamic Network Pruning CVPR 2021 Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation ACL 2021 Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains ACL 2021 M-FAC: Efficient Matrix-Free Approximations of Second-Order Information NeurIPS 2021 Minimally Invasive Surgery for Sparse Neural Networks in Contrastive Manner CVPR 2021 Mining Intelligent Patterns using SVAC for Precision Agriculture and Optimizing Irrigation (Student Abstract) AAAI 2021 MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation AAAI 2021 Mirror Descent View for Neural Network Quantization AISTATS 2021