Model Compression

Winning Lottery Tickets in Deep Generative Models AAAI 2021 WrapNet: Neural Net Inference with Ultra-Low-Precision Arithmetic ICLR 2021 YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design AAAI 2021 Zero-Shot Adversarial Quantization CVPR 2021 A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection CVPR 2020 Accuracy Booster: Performance Boosting using Feature Map Re-calibration WACV 2020 AdaBits: Neural Network Quantization With Adaptive Bit-Widths CVPR 2020 AdapterHub: A Framework for Adapting Transformers EMNLP 2020 Adaptive Compression of Word Embeddings ACL 2020 Adaptive Loss-Aware Quantization for Multi-Bit Networks CVPR 2020 Adversarial Learning of Privacy-Preserving and Task-Oriented Representations AAAI 2020 Adversarially Robust Distillation AAAI 2020 Adversarial Self-Supervised Data-Free Distillation for Text Classification EMNLP 2020 Analyzing Redundancy in Pretrained Transformer Models EMNLP 2020 An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training EMNLP 2020 APQ: Joint Search for Network Architecture, Pruning and Quantization Policy CVPR 2020 ASAP: Architecture Search, Anneal and Prune AISTATS 2020 Assessment of DistilBERT performance on Named Entity Recognition task for the detection of Protected Health Information and medical concepts EMNLP 2020 AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates AAAI 2020 AutoDAL: Distributed Active Learning with Automatic Hyperparameter Selection AAAI 2020 Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach CVPR 2020 AutoQ: Automated Kernel-Wise Neural Network Quantization ICLR 2020 AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture AAAI 2020 Bayesian Bits: Unifying Quantization and Pruning NeurIPS 2020 BERT-EMD: Many-to-Many Layer Mapping for BERT Compression with Earth Mover’s Distance EMNLP 2020