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Papers (including subtopics)

Privacy Amplification via Random Check-Ins NeurIPS 2020 Privacy-Preserving News Recommendation Model Learning EMNLP 2020 Private Outsourced Bayesian Optimization ICML 2020 Private Protocols for U-Statistics in the Local Model and Beyond AISTATS 2020 PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation EMNLP 2020 Probabilistic Active Meta-Learning NeurIPS 2020 Probing Task-Oriented Dialogue Representation from Language Models EMNLP 2020 ProtoAttend: Attention-Based Prototypical Learning JMLR 2020 Prototypical Q Networks for Automatic Conversational Diagnosis and Few-Shot New Disease Adaption Interspeech 2020 Provable Representation Learning for Imitation Learning via Bi-level Optimization ICML 2020 Provably Efficient Third-Person Imitation from Offline Observation UAI 2020 Proxy Network for Few Shot Learning ACML 2020 PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision EMNLP 2020 PUM at SemEval-2020 Task 12: Aggregation of Transformer-based Models’ Features for Offensive Language Recognition SemEval 2020 Pushing the Limits of AMR Parsing with Self-Learning EMNLP 2020 PuzzLing Machines: A Challenge on Learning From Small Data ACL 2020 PyGlove: Symbolic Programming for Automated Machine Learning NeurIPS 2020 QiaoNing at SemEval-2020 Task 4: Commonsense Validation and Explanation System Based on Ensemble of Language Model SemEval 2020 Quantifying the Effects of COVID-19 on Mental Health Support Forums EMNLP 2020 QuASE: Question-Answer Driven Sentence Encoding ACL 2020 Query-Driven Multi-Instance Learning AAAI 2020 Query-efficient Meta Attack to Deep Neural Networks ICLR 2020 Querying to Find a Safe Policy under Uncertain Safety Constraints in Markov Decision Processes AAAI 2020 Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML ICLR 2020 Rapid RNN-T Adaptation Using Personalized Speech Synthesis and Neural Language Generator Interspeech 2020