model compression

Scalable Approximate MCMC Algorithms for the Horseshoe Prior JMLR 2020 Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding AAAI 2020 Scalable Model Compression by Entropy Penalized Reparameterization ICLR 2020 schuBERT: Optimizing Elements of BERT ACL 2020 SCOP: Scientific Control for Reliable Neural Network Pruning NeurIPS 2020 Searching for Low-Bit Weights in Quantized Neural Networks NeurIPS 2020 Search to Distill: Pearls Are Everywhere but Not the Eyes CVPR 2020 Self-Supervised Generative Adversarial Compression NeurIPS 2020 ShiftAddNet: A Hardware-Inspired Deep Network NeurIPS 2020 Soft Threshold Ternary Networks IJCAI 2020 Soft Threshold Weight Reparameterization for Learnable Sparsity ICML 2020 Sparse Mixture of Local Experts for Efficient Speech Enhancement Interspeech 2020 Sparse Weight Activation Training NeurIPS 2020 Sparsity-Inducing Binarized Neural Networks AAAI 2020 Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error IJCAI 2020 Speed-optimized, Compact Student Models that Distill Knowledge from a Larger Teacher Model: the UEDIN-CUNI Submission to the WMT 2020 News Translation Task EMNLP 2020 SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes ICLR 2020 Split to Be Slim: An Overlooked Redundancy in Vanilla Convolution IJCAI 2020 SqueezeBERT: What can computer vision teach NLP about efficient neural networks? EMNLP 2020 Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning NeurIPS 2020 Streaming Batch Gradient Tracking for Neural Network Training (Student Abstract) AAAI 2020 Structured Compression by Weight Encryption for Unstructured Pruning and Quantization CVPR 2020 Structured Compression of Deep Neural Networks with Debiased Elastic Group LASSO WACV 2020 Structured Convolutions for Efficient Neural Network Design NeurIPS 2020 Structured Multi-Hashing for Model Compression CVPR 2020