Model Compression

Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources ICML 2020 Universal Physical Camouflage Attacks on Object Detectors CVPR 2020 Up or Down? Adaptive Rounding for Post-Training Quantization ICML 2020 Variational Bayesian Quantization ICML 2020 When BERT Plays the Lottery, All Tickets Are Winning EMNLP 2020 Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers EMNLP 2020 Winning the Lottery with Continuous Sparsification NeurIPS 2020 word2ket: Space-efficient Word Embeddings inspired by Quantum Entanglement ICLR 2020 ZeroQ: A Novel Zero Shot Quantization Framework CVPR 2020 A Bayesian Optimization Framework for Neural Network Compression ICCV 2019 Accelerated Inference Framework of Sparse Neural Network Based on Nested Bitmask Structure IJCAI 2019 A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks AAAI 2019 A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off NeurIPS 2019 Analysis of Quantized Models ICLR 2019 Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant AAAI 2019 AutoPrune: Automatic Network Pruning by Regularizing Auxiliary Parameters NeurIPS 2019 Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation ICCV 2019 Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss IJCAI 2019 Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? CVPR 2019 Budget-Aware Adapters for Multi-Domain Learning ICCV 2019 Cascaded Projection: End-To-End Network Compression and Acceleration CVPR 2019 Channel Gating Neural Networks NeurIPS 2019 Compact and Robust Models for Japanese-English Character-level Machine Translation EMNLP 2019 Compacting, Picking and Growing for Unforgetting Continual Learning NeurIPS 2019 Compression of Acoustic Event Detection Models with Quantized Distillation Interspeech 2019