Deep Learning

Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising IJCAI 2020 Learning to Ask More: Semi-Autoregressive Sequential Question Generation under Dual-Graph Interaction ACL 2020 Learning to Autofocus CVPR 2020 Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework AAAI 2020 Learning to Cartoonize Using White-Box Cartoon Representations CVPR 2020 Learning to Classify Intents and Slot Labels Given a Handful of Examples ACL 2020 Learning to Classify the Wrong Answers for Multiple Choice Question Answering (Student Abstract) AAAI 2020 Learning to Cluster Faces via Confidence and Connectivity Estimation CVPR 2020 Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules ICML 2020 Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models AAAI 2020 Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling ACL 2020 Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering EMNLP 2020 Learning to Control PDEs with Differentiable Physics ICLR 2020 Learning to Correspond Dynamical Systems L4DC 2020 Learning to Deblur Face Images via Sketch Synthesis AAAI 2020 Learning to Deceive with Attention-Based Explanations ACL 2020 Learning to Detect Head Movement in Unconstrained Remote Gaze Estimation in the Wild WACV 2020 Learning to Detect Important People in Unlabelled Images for Semi-Supervised Important People Detection CVPR 2020 Learning to Detect Objects with a 1 Megapixel Event Camera NeurIPS 2020 Learning to Discriminate Information for Online Action Detection CVPR 2020 Learning to Dress 3D People in Generative Clothing CVPR 2020 Learning to Evaluate Perception Models Using Planner-Centric Metrics CVPR 2020 Learning to execute instructions in a Minecraft dialogue ACL 2020 Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks NeurIPS 2020 Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction NeurIPS 2020