Techniques

LEARNED STEP SIZE QUANTIZATION ICLR 2020 Learning and Evaluating Contextual Embedding of Source Code ICML 2020 Learning Dynamic Routing for Semantic Segmentation CVPR 2020 Learning Efficient Task-Specific Meta-Embeddings with Word Prisms COLING 2020 Learning Emotion from 100 Observations: Unexpected Robustness of Deep Learning under Strong Data Limitations COLING 2020 LEARNING EXECUTION THROUGH NEURAL CODE FUSION ICLR 2020 Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration CVPR 2020 Learning Nanoscale Motion Patterns of Vesicles in Living Cells CVPR 2020 Learning Oracle Attention for High-Fidelity Face Completion CVPR 2020 Learning Physical Constraints with Neural Projections NeurIPS 2020 Learning Selective Self-Mutual Attention for RGB-D Saliency Detection CVPR 2020 Learning Temporal Co-Attention Models for Unsupervised Video Action Localization CVPR 2020 Learning to Deceive with Attention-Based Explanations ACL 2020 Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks EMNLP 2020 Learning to Incorporate Structure Knowledge for Image Inpainting AAAI 2020 Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles EMNLP 2020 Learning To Stop While Learning To Predict ICML 2020 Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually) EMNLP 2020 Leveraging Title-Abstract Attentive Semantics for Paper Recommendation AAAI 2020 Lightweight 3D Human Pose Estimation Network Training Using Teacher-Student Learning WACV 2020 Lightweight End-to-End Speech Recognition from Raw Audio Data Using Sinc-Convolutions Interspeech 2020 Lightweight Multi-View 3D Pose Estimation Through Camera-Disentangled Representation CVPR 2020 Lightweight Online Noise Reduction on Embedded Devices Using Hierarchical Recurrent Neural Networks Interspeech 2020 Linear Context Transform Block AAAI 2020 Linguistic Features for Readability Assessment ACL 2020