Prasad Tadepalli

Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios AAAI 2025 Adversarial Attacks on Combinatorial Multi-Armed Bandits ICML 2024 Language-Informed Beam Search Decoding for Multilingual Machine Translation ACL 2024 Global Explanations for Image Classifiers (Student Abstract) AAAI 2023 Parametrically Retargetable Decision-Makers Tend To Seek Power NeurIPS 2022 DeepAveragers: Offline Reinforcement Learning By Solving Derived Non-Parametric MDPs ICLR 2021 Improving Multilingual Translation by Representation and Gradient Regularization EMNLP 2021 One Explanation is Not Enough: Structured Attention Graphs for Image Classification NeurIPS 2021 Optimal Policies Tend To Seek Power NeurIPS 2021 PAC Learning of Causal Trees with Latent Variables AAAI 2021 Avoiding Side Effects in Complex Environments NeurIPS 2020 On the Sub-layer Functionalities of Transformer Decoder EMNLP 2020 Relation Extraction with Explanation ACL 2020 The Choice Function Framework for Online Policy Improvement AAAI 2020 Description-Based Zero-shot Fine-Grained Entity Typing NAACL 2019 Saliency Learning: Teaching the Model Where to Pay Attention NAACL 2019 Dependent Gated Reading for Cloze-Style Question Answering COLING 2018 Emergency Response Optimization using Online Hybrid Planning IJCAI 2018 Event Detection with Neural Networks: A Rigorous Empirical Evaluation EMNLP 2018 Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference EMNLP 2018 Joint Neural Entity Disambiguation with Output Space Search COLING 2018 Adaptive Submodularity with Varying Query Sets: An Application to Active Multi-label Learning ALT 2017 Multi-Task Structured Prediction for Entity Analysis: Search-Based Learning Algorithms ACML 2017 Event Nugget Detection with Forward-Backward Recurrent Neural Networks ACL 2016 Active Imitation Learning of Hierarchical Policies IJCAI 2015 Multitask Coactive Learning IJCAI 2015 Active Imitation Learning: Formal and Practical Reductions to I.I.D. Learning JMLR 2014 Prune-and-Score: Learning for Greedy Coreference Resolution EMNLP 2014 Structured Prediction via Output Space Search JMLR 2014 Using Trajectory Data to Improve Bayesian Optimization for Reinforcement Learning JMLR 2014 Symbolic Opportunistic Policy Iteration for Factored-Action MDPs NeurIPS 2013 A Bayesian Approach for Policy Learning from Trajectory Preference Queries NeurIPS 2012 Autonomous Learning of Action Models for Planning NeurIPS 2011 Inverting Grice's Maxims to Learn Rules from Natural Language Extractions NeurIPS 2011 Learning Rules from Incomplete Examples via Implicit Mention Models ACML 2011 A Computational Decision Theory for Interactive Assistants NeurIPS 2010