Efficient Computing

Efficient Multi-Stage Video Denoising With Recurrent Spatio-Temporal Fusion CVPR 2021 Efficient Test Time Adapter Ensembling for Low-resource Language Varieties EMNLP 2021 EL-Attention: Memory Efficient Lossless Attention for Generation ICML 2021 Empowering Adaptive Early-Exit Inference with Latency Awareness AAAI 2021 Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization NeurIPS 2021 Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators ACL 2021 Evaluating the carbon footprint of NLP methods: a survey and analysis of existing tools EMNLP 2021 Exploiting & Refining Depth Distributions With Triangulation Light Curtains CVPR 2021 Fast Certified Robust Training with Short Warmup NeurIPS 2021 Faster Depth-Adaptive Transformers AAAI 2021 FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging EMNLP 2021 FastSeq: Make Sequence Generation Faster ACL 2021 FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining CVPR 2021 Findings of the WMT 2021 Shared Task on Efficient Translation EMNLP 2021 FP-NAS: Fast Probabilistic Neural Architecture Search CVPR 2021 FrameExit: Conditional Early Exiting for Efficient Video Recognition CVPR 2021 FVC: A New Framework Towards Deep Video Compression in Feature Space CVPR 2021 Generic Neural Architecture Search via Regression NeurIPS 2021 Goten: GPU-Outsourcing Trusted Execution of Neural Network Training AAAI 2021 GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection CVPR 2021 Group Whitening: Balancing Learning Efficiency and Representational Capacity CVPR 2021 GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding ICLR 2021 Handling Long-tailed Feature Distribution in AdderNets NeurIPS 2021 Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning NeurIPS 2021 Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation CVPR 2021