model compression

Amortized Neural Networks for Low-Latency Speech Recognition Interspeech 2021 Analyzing the Confidentiality of Undistillable Teachers in Knowledge Distillation NeurIPS 2021 An Efficient Transformer Decoder with Compressed Sub-layers AAAI 2021 Annealing Knowledge Distillation EACL 2021 Anycost GANs for Interactive Image Synthesis and Editing CVPR 2021 Any-Precision Deep Neural Networks AAAI 2021 Anytime Inference with Distilled Hierarchical Neural Ensembles AAAI 2021 A Probabilistic Approach to Neural Network Pruning ICML 2021 AQD: Towards Accurate Quantized Object Detection CVPR 2021 AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling CVPR 2021 A Unified Lottery Ticket Hypothesis for Graph Neural Networks ICML 2021 Auto Graph Encoder-Decoder for Neural Network Pruning ICCV 2021 AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks AAAI 2021 Automated Log-Scale Quantization for Low-Cost Deep Neural Networks CVPR 2021 Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans AAAI 2021 Automatic Mixed-Precision Quantization Search of BERT IJCAI 2021 Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators ICML 2021 AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression IJCAI 2021 AUTOSUMM: Automatic Model Creation for Text Summarization EMNLP 2021 AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models ACL 2021 Bag of Tricks for Optimizing Transformer Efficiency EMNLP 2021 BASE Layers: Simplifying Training of Large, Sparse Models ICML 2021 Basis-MelGAN: Efficient Neural Vocoder Based on Audio Decomposition Interspeech 2021 BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer NeurIPS 2021 Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression CVPR 2021