model compression

DRONE: Data-aware Low-rank Compression for Large NLP Models NeurIPS 2021 Dynamic Domain Adaptation for Efficient Inference CVPR 2021 Dynamic Dual Gating Neural Networks ICCV 2021 Dynamic Knowledge Distillation for Pre-trained Language Models EMNLP 2021 Dynamic Region-Aware Convolution CVPR 2021 Dynamic Slimmable Network CVPR 2021 EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets ACL 2021 Editing Factual Knowledge in Language Models EMNLP 2021 Effectiveness of Arbitrary Transfer Sets for Data-Free Knowledge Distillation WACV 2021 Effective Sparsification of Neural Networks With Global Sparsity Constraint CVPR 2021 EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation EMNLP 2021 Efficient Conditional GAN Transfer With Knowledge Propagation Across Classes CVPR 2021 Efficient Deep Image Denoising via Class Specific Convolution AAAI 2021 Efficient Domain Adaptation of Language Models via Adaptive Tokenization EMNLP 2021 Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation EMNLP 2021 Efficient Inference for Multilingual Neural Machine Translation EMNLP 2021 Efficient Lottery Ticket Finding: Less Data is More ICML 2021 Efficient Neural Network Training via Forward and Backward Propagation Sparsification NeurIPS 2021 Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent AAAI 2021 Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators ACL 2021 Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation IJCAI 2021 Energy-Friendly Keyword Spotting System Using Add-Based Convolution Interspeech 2021 Exploiting the Redundancy in Convolutional Filters for Parameter Reduction WACV 2021 Exploring Inter-Channel Correlation for Diversity-Preserved Knowledge Distillation ICCV 2021 Extremely Low Footprint End-to-End ASR System for Smart Device Interspeech 2021