model compression

Isotonic Data Augmentation for Knowledge Distillation IJCAI 2021 Iterative Deep Model Compression and Acceleration in the Frequency Domain ACML 2021 Joint-DetNAS: Upgrade Your Detector With NAS, Pruning and Dynamic Distillation CVPR 2021 KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation IJCAI 2021 KiloNeRF: Speeding Up Neural Radiance Fields With Thousands of Tiny MLPs ICCV 2021 Knowledge Distillation as Semiparametric Inference ICLR 2021 Knowledge Distillation for Singing Voice Detection Interspeech 2021 Knowledge distillation via softmax regression representation learning ICLR 2021 Knowledge Distillation with Noisy Labels for Natural Language Understanding EMNLP 2021 Knowledge Evolution in Neural Networks CVPR 2021 K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets ICML 2021 KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning CVPR 2021 LassoNet: A Neural Network with Feature Sparsity JMLR 2021 Layer-adaptive Sparsity for the Magnitude-based Pruning ICLR 2021 Layer Pruning on Demand with Intermediate CTC Interspeech 2021 Layer-Wise Neural Network Compression via Layer Fusion ACML 2021 Layer-Wise Searching for 1-Bit Detectors CVPR 2021 Learnable Companding Quantization for Accurate Low-Bit Neural Networks CVPR 2021 Learning a Neural Diff for Speech Models Interspeech 2021 Learning Compact Metrics for MT EMNLP 2021 Learning Frequency Domain Approximation for Binary Neural Networks NeurIPS 2021 Learning Language Specific Sub-network for Multilingual Machine Translation ACL 2021 Learning Light-Weight Translation Models from Deep Transformer AAAI 2021 Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch ICLR 2021 Learning Student-Friendly Teacher Networks for Knowledge Distillation NeurIPS 2021