model compression

ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks NeurIPS 2020 Exploit and Replace: An Asymmetrical Two-Stream Architecture for Versatile Light Field Saliency Detection AAAI 2020 Exploring the Boundaries of Low-Resource BERT Distillation EMNLP 2020 Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT ACL 2020 Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation EMNLP 2020 Extreme Model Compression for On-device Natural Language Understanding COLING 2020 Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation CVPR 2020 Fast and Lightweight On-Device TTS with Tacotron2 and LPCNet Interspeech 2020 Fast and Slow Acoustic Model Interspeech 2020 FastBERT: a Self-distilling BERT with Adaptive Inference Time ACL 2020 FastFormers: Highly Efficient Transformer Models for Natural Language Understanding EMNLP 2020 Fast Sparse ConvNets CVPR 2020 Fast Word Predictor for On-Device Application COLING 2020 FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions CVPR 2020 Feature Statistics Guided Efficient Filter Pruning IJCAI 2020 FedBoost: A Communication-Efficient Algorithm for Federated Learning ICML 2020 FetchSGD: Communication-Efficient Federated Learning with Sketching ICML 2020 Few Sample Knowledge Distillation for Efficient Network Compression CVPR 2020 Few Shot Network Compression via Cross Distillation AAAI 2020 Filter Grafting for Deep Neural Networks CVPR 2020 Finding trainable sparse networks through Neural Tangent Transfer ICML 2020 FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network Compression ACML 2020 FleXOR: Trainable Fractional Quantization NeurIPS 2020 Forward and Backward Information Retention for Accurate Binary Neural Networks CVPR 2020 Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference AAAI 2020