Efficient Computing

AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment AAAI 2021 AQD: Towards Accurate Quantized Object Detection CVPR 2021 AutoDropout: Learning Dropout Patterns to Regularize Deep Networks AAAI 2021 BCNet: Searching for Network Width With Bilaterally Coupled Network CVPR 2021 Beyond malloc efficiency to fleet efficiency: a hugepage-aware memory allocator OSDI 2021 CompOFA – Compound Once-For-All Networks for Faster Multi-Platform Deployment ICLR 2021 DeepReDuce: ReLU Reduction for Fast Private Inference ICML 2021 Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information AAAI 2021 DPFPS: Dynamic and Progressive Filter Pruning for Compressing Convolutional Neural Networks from Scratch AAAI 2021 Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization AAAI 2021 Evaluating the carbon footprint of NLP methods: a survey and analysis of existing tools EMNLP 2021 Extending Neural P-Frame Codecs for B-Frame Coding ICCV 2021 Fast WordPiece Tokenization EMNLP 2021 Findings of the WMT 2021 Shared Task on Efficient Translation EMNLP 2021 Finetuning Pretrained Transformers into RNNs EMNLP 2021 Generic Neural Architecture Search via Regression NeurIPS 2021 Globalizing BERT-based Transformer Architectures for Long Document Summarization EACL 2021 Going Deeper With Directly-Trained Larger Spiking Neural Networks AAAI 2021 Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning NeurIPS 2021 HAWQ-V3: Dyadic Neural Network Quantization ICML 2021 Investigating the Impact of Spectral and Temporal Degradation on End-to-End Automatic Speech Recognition Performance Interspeech 2021 Knowledge-aware Leap-LSTM: Integrating Prior Knowledge into Leap-LSTM towards Faster Long Text Classification AAAI 2021 K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets ICML 2021 Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search CVPR 2021 Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch ICLR 2021