neural network compression

ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers NeurIPS 2021 Scaling Up Exact Neural Network Compression by ReLU Stability NeurIPS 2021 Spectral Tensor Train Parameterization of Deep Learning Layers AISTATS 2021 Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization ICCV 2021 TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning AAAI 2021 Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization AISTATS 2020 Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach CVPR 2020 Channel Pruning via Automatic Structure Search IJCAI 2020 Deep Implicit Volume Compression CVPR 2020 Don’t Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript ICML 2020 Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT ACL 2020 FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network Compression ACML 2020 FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary ICLR 2020 Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration CVPR 2020 Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer CVPR 2020 Multiclass Neural Network Minimization via Tropical Newton Polytope Approximation ICML 2020 PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices AAAI 2020 Pruning Filter in Filter NeurIPS 2020 Squeeze for Sneeze: Compact Neural Networks for Cold and Flu Recognition Interspeech 2020 Structured Sparsification of Gated Recurrent Neural Networks AAAI 2020 T-Basis: a Compact Representation for Neural Networks ICML 2020 TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing ACL 2020 Understanding Generalization in Deep Learning via Tensor Methods AISTATS 2020 WoodFisher: Efficient Second-Order Approximation for Neural Network Compression NeurIPS 2020 A Bayesian Optimization Framework for Neural Network Compression ICCV 2019