model compression

Learning Student Networks in the Wild CVPR 2021 Learning to Augment for Data-scarce Domain BERT Knowledge Distillation AAAI 2021 LeeBERT: Learned Early Exit for BERT with cross-level optimization ACL 2021 LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search CVPR 2021 Limitations of Knowledge Distillation for Zero-shot Transfer Learning EMNLP 2021 Linearly Replaceable Filters for Deep Network Channel Pruning AAAI 2021 Lipschitz Continuity Guided Knowledge Distillation ICCV 2021 Lossless Compression of Structured Convolutional Models via Lifting ICLR 2021 Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision ICML 2021 Making DensePose Fast and Light WACV 2021 Manifold Regularized Dynamic Network Pruning CVPR 2021 Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation ACL 2021 MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation ACL 2021 MeliusNet: An Improved Network Architecture for Binary Neural Networks WACV 2021 Memory-efficient Transformers via Top-k Attention EMNLP 2021 MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge NeurIPS 2021 Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains ACL 2021 Minimally Invasive Surgery for Sparse Neural Networks in Contrastive Manner CVPR 2021 MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation AAAI 2021 Mirror Descent View for Neural Network Quantization AISTATS 2021 Mistify: Automating DNN Model Porting for On-Device Inference at the Edge NSDI 2021 Mixed-Privacy Forgetting in Deep Networks CVPR 2021 MixKD: Towards Efficient Distillation of Large-scale Language Models ICLR 2021 MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing ICCV 2021 Modality-specific Distillation NAACL 2021