computational efficiency

Accelerating BERT Inference for Sequence Labeling via Early-Exit ACL 2021 AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition ICCV 2021 Adaptive Focus for Efficient Video Recognition ICCV 2021 A Decomposition Model for Stereo Matching CVPR 2021 Amata: An Annealing Mechanism for Adversarial Training Acceleration AAAI 2021 Approximate Data Deletion from Machine Learning Models AISTATS 2021 A Tale of Two Efficient and Informative Negative Sampling Distributions ICML 2021 A Unified Encoding of Structures in Transition Systems EMNLP 2021 BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining NeurIPS 2021 Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question Answering EMNLP 2021 Consistent Accelerated Inference via Confident Adaptive Transformers EMNLP 2021 Decoupled Dynamic Filter Networks CVPR 2021 Distribution Adaptive INT8 Quantization for Training CNNs AAAI 2021 Efficient Deep Image Denoising via Class Specific Convolution AAAI 2021 Efficient Explanations from Empirical Explainers EMNLP 2021 Efficient Folded Attention for Medical Image Reconstruction and Segmentation AAAI 2021 Exploring Sparsity in Image Super-Resolution for Efficient Inference CVPR 2021 Fast and Accurate Model Scaling CVPR 2021 Faster Neural Network Training with Approximate Tensor Operations NeurIPS 2021 HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens CVPR 2021 How to Train BERT with an Academic Budget EMNLP 2021 Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings NeurIPS 2021 Learning Optical Flow From a Few Matches CVPR 2021 Learning Routines for Effective Off-Policy Reinforcement Learning ICML 2021 Locality Sensitive Teaching NeurIPS 2021