Optimization & Theory

DPOQ: Dynamic Precision Onion Quantization ACML 2021 Dropout: Explicit Forms and Capacity Control ICML 2021 DSRNA: Differentiable Search of Robust Neural Architectures CVPR 2021 Dynamic Encoder Transducer: A Flexible Solution for Trading Off Accuracy for Latency Interspeech 2021 Dynamic Region-Aware Convolution CVPR 2021 Dynamic Slimmable Network CVPR 2021 Dynamics-regulated kinematic policy for egocentric pose estimation NeurIPS 2021 Dynamic Tensor Rematerialization ICLR 2021 EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets ACL 2021 EASE: Extractive-Abstractive Summarization End-to-End using the Information Bottleneck Principle EMNLP 2021 EDNet: Efficient Disparity Estimation With Cost Volume Combination and Attention-Based Spatial Residual CVPR 2021 EeLISA: Combating Global Warming Through the Rapid Analysis of Eelgrass Wasting Disease AAAI 2021 Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation Priors CVPR 2021 Effective Sparsification of Neural Networks With Global Sparsity Constraint CVPR 2021 Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent EMNLP 2021 Efficient and Accurate Gradients for Neural SDEs NeurIPS 2021 Efficient Certification of Spatial Robustness AAAI 2021 Efficient Combination of Rematerialization and Offloading for Training DNNs NeurIPS 2021 Efficient Conformer with Prob-Sparse Attention Mechanism for End-to-End Speech Recognition Interspeech 2021 Efficient Deep Image Denoising via Class Specific Convolution AAAI 2021 Efficient Explanations from Empirical Explainers EMNLP 2021 Efficient Feature Transformations for Discriminative and Generative Continual Learning CVPR 2021 Efficient Generalized Spherical CNNs ICLR 2021 Efficient Inference for Multilingual Neural Machine Translation EMNLP 2021 Efficient Lottery Ticket Finding: Less Data is More ICML 2021