Prasad Tadepalli
36 papers · 2010–2025 · 12 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (15) π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (12)
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Academic Marathon
(15)
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(15)
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Keyword Trendsetter Combo
(3)
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Dynamic Duo
(14)
π§¬
Topic Evolution
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Grand Slam
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Topic Pioneer
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Keyword Champion
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Unstoppable
(16)
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Trend Setter
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Conference Pioneer
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Prolific Year
(5)
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Century Club
(36)
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Keyword Collector
(50)
Conferences
NIPS (9)
EMNLP (5)
AAAI (4)
ACL (3)
IJCAI (3)
JMLR (3)
ACML (2)
COLING (2)
NAACL (2)
ALT (1)
ICLR (1)
ICML (1)
Top co-authors
Research topics
Keywords
attention mechanism
(5)
markov decision process
(4)
reinforcement learning
(4)
multilingual translation
(2)
model interpretability
(2)
automated planning
(2)
off-target translation
(2)
ai safety
(2)
beam search
(2)
limited discrepancy search
(2)
neural machine translation
(2)
image classification
(2)
rule learning
(2)
neural network
(2)
sequential decision making
(1)
zero-shot learning
(1)
decision theory
(1)
probabilistic inference
(1)
model-based planning
(1)
structure learning
(1)
Papers
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
NIPS 2022
PAC Learning of Causal Trees with Latent Variables
AAAI 2021
DeepAveragers: Offline Reinforcement Learning By Solving Derived Non-Parametric MDPs
ICLR 2021
Optimal Policies Tend To Seek Power
NIPS 2021
Improving Multilingual Translation by Representation and Gradient Regularization
EMNLP 2021
One Explanation is Not Enough: Structured Attention Graphs for Image Classification
NIPS 2021
Avoiding Side Effects in Complex Environments
NIPS 2020
The Choice Function Framework for Online Policy Improvement
AAAI 2020
On the Sub-layer Functionalities of Transformer Decoder
EMNLP 2020
Relation Extraction with Explanation
ACL 2020
Saliency Learning: Teaching the Model Where to Pay Attention
NAACL 2019
Description-Based Zero-shot Fine-Grained Entity Typing
NAACL 2019
Dependent Gated Reading for Cloze-Style Question Answering
COLING 2018
Event Detection with Neural Networks: A Rigorous Empirical Evaluation
EMNLP 2018
Emergency Response Optimization using Online Hybrid Planning
IJCAI 2018
Joint Neural Entity Disambiguation with Output Space Search
COLING 2018
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference
EMNLP 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
Prune-and-Score: Learning for Greedy Coreference Resolution
EMNLP 2014
Using Trajectory Data to Improve Bayesian Optimization for Reinforcement Learning
JMLR 2014
Structured Prediction via Output Space Search
JMLR 2014
Active Imitation Learning: Formal and Practical Reductions to I.I.D. Learning
JMLR 2014
Symbolic Opportunistic Policy Iteration for Factored-Action MDPs
NIPS 2013
A Bayesian Approach for Policy Learning from Trajectory Preference Queries
NIPS 2012
Autonomous Learning of Action Models for Planning
NIPS 2011
Inverting Grice's Maxims to Learn Rules from Natural Language Extractions
NIPS 2011
Learning Rules from Incomplete Examples via Implicit Mention Models
ACML 2011
A Computational Decision Theory for Interactive Assistants
NIPS 2010