Optimization & Theory

Coresets via Bilevel Optimization for Continual Learning and Streaming NeurIPS 2020 Counterexample-Guided Learning of Monotonic Neural Networks NeurIPS 2020 Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search NeurIPS 2020 Curriculum Learning by Dynamic Instance Hardness NeurIPS 2020 Curriculum Loss: Robust Learning and Generalization against Label Corruption ICLR 2020 Curvature-corrected learning dynamics in deep neural networks ICML 2020 DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks AAAI 2020 Dataless Model Selection With the Deep Frame Potential CVPR 2020 Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics EMNLP 2020 DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference ACL 2020 Deep Conservative Policy Iteration AAAI 2020 DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers CVPR 2020 Deep Implicit Volume Compression CVPR 2020 Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel NeurIPS 2020 Deeply Learned Spectral Total Variation Decomposition NeurIPS 2020 Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning ACML 2020 Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection AAAI 2020 Deep Time-Stream Framework for Click-through Rate Prediction by Tracking Interest Evolution AAAI 2020 Deep Unfolding Network for Image Super-Resolution CVPR 2020 Deep White-Balance Editing CVPR 2020 Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack CVPR 2020 DeFINE: Deep Factorized Input Token Embeddings for Neural Sequence Modeling ICLR 2020 DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering ACL 2020 DeltaGrad: Rapid retraining of machine learning models ICML 2020 Densely Connected Search Space for More Flexible Neural Architecture Search CVPR 2020