neural network

Planning Paths Through Unknown Space by Imagining What Lies Therein CoRL 2020 PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling CVPR 2020 Polarized Reflection Removal With Perfect Alignment in the Wild CVPR 2020 PolyTransform: Deep Polygon Transformer for Instance Segmentation CVPR 2020 PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes CVPR 2020 Practical Quasi-Newton Methods for Training Deep Neural Networks NeurIPS 2020 Predicting Choice with Set-Dependent Aggregation ICML 2020 Predicting Degrees of Technicality in Automatic Terminology Extraction ACL 2020 Predicting Detection Filters for Small Footprint Open-Vocabulary Keyword Spotting Interspeech 2020 Predicting Propositional Satisfiability via End-to-End Learning AAAI 2020 Predicting the Focus of Negation: Model and Error Analysis ACL 2020 Predicting Typological Features in WALS using Language Embeddings and Conditional Probabilities: ÚFAL Submission to the SIGTYP 2020 Shared Task EMNLP 2020 Pre-training Mention Representations in Coreference Models EMNLP 2020 Prime Sample Attention in Object Detection CVPR 2020 PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation EMNLP 2020 Probabilistic Graphical Models with Neural Networks in InferPy PGM 2020 Probabilistic Super Resolution for Mineral Spectroscopy AAAI 2020 Probabilistic Symmetries and Invariant Neural Networks JMLR 2020 Probing Linguistic Systematicity ACL 2020 Probing Neural Dialog Models for Conversational Understanding ACL 2020 Production-based Cognitive Models as a Test Suite for Reinforcement Learning Algorithms EMNLP 2020 Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach NeurIPS 2020 Provably Efficient Neural GTD for Off-Policy Learning NeurIPS 2020 Provably Efficient Reinforcement Learning with Kernel and Neural Function Approximations NeurIPS 2020 PuzzLing Machines: A Challenge on Learning From Small Data ACL 2020