model compression

FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training NeurIPS 2020 Frequency Domain Compact 3D Convolutional Neural Networks CVPR 2020 Fully Nested Neural Network for Adaptive Compression and Quantization IJCAI 2020 GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning JMLR 2020 GAN Compression: Efficient Architectures for Interactive Conditional GANs CVPR 2020 GhostNet: More Features From Cheap Operations CVPR 2020 Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection ICML 2020 Go Wide, Then Narrow: Efficient Training of Deep Thin Networks ICML 2020 Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough NeurIPS 2020 Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge NeurIPS 2020 HABERTOR: An Efficient and Effective Deep Hatespeech Detector EMNLP 2020 Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks AAAI 2020 HAT: Hardware-Aware Transformers for Efficient Natural Language Processing ACL 2020 HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks NeurIPS 2020 Heterogeneous Knowledge Distillation Using Information Flow Modeling CVPR 2020 Hierarchical Knowledge Squeezed Adversarial Network Compression AAAI 2020 Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection CVPR 2020 HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface AAAI 2020 HRank: Filter Pruning Using High-Rank Feature Map CVPR 2020 HYDRA: Pruning Adversarially Robust Neural Networks NeurIPS 2020 Improved Knowledge Distillation via Teacher Assistant AAAI 2020 Improving Low Compute Language Modeling with In-Domain Embedding Initialisation EMNLP 2020 Improving Word Embedding Factorization for Compression Using Distilled Nonlinear Neural Decomposition EMNLP 2020 Incremental Multi-Domain Learning with Network Latent Tensor Factorization AAAI 2020 Information-Theoretic Understanding of Population Risk Improvement with Model Compression AAAI 2020