model compression

Structured Pruning of Large Language Models EMNLP 2020 Structure-Level Knowledge Distillation For Multilingual Sequence Labeling ACL 2020 Sub-Band Knowledge Distillation Framework for Speech Enhancement Interspeech 2020 Task-Oriented Feature Distillation NeurIPS 2020 T-Basis: a Compact Representation for Neural Networks ICML 2020 Tensorized Embedding Layers EMNLP 2020 TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing ACL 2020 The Cascade Transformer: an Application for Efficient Answer Sentence Selection ACL 2020 The Knowledge Within: Methods for Data-Free Model Compression CVPR 2020 The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks ICML 2020 The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding ACL 2020 The NiuTrans System for WNGT 2020 Efficiency Task ACL 2020 The Tree Ensemble Layer: Differentiability meets Conditional Computation ICML 2020 TinyBERT: Distilling BERT for Natural Language Understanding EMNLP 2020 TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids Interspeech 2020 TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning NeurIPS 2020 Tiny Word Embeddings Using Globally Informed Reconstruction COLING 2020 TKD: Temporal Knowledge Distillation for Active Perception WACV 2020 Top-KAST: Top-K Always Sparse Training NeurIPS 2020 Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations AAAI 2020 Towards Accurate Post-training Network Quantization via Bit-Split and Stitching ICML 2020 Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020 Towards Efficient Model Compression via Learned Global Ranking CVPR 2020 Towards Fully 8-bit Integer Inference for the Transformer Model IJCAI 2020 Towards Inheritable Models for Open-Set Domain Adaptation CVPR 2020