Deepak Ramachandran

According to our database, Deepak Ramachandran authored at least 44 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Understanding Subjectivity through the Lens of Motivational Context in Model-Generated Image Satisfaction.

Senjuti Dutta, Sherol Chen, Sunny Mak, Amnah Ahmad, Katherine Maeve Collins, Alena Butryna, Deepak Ramachandran, Krishnamurthy Dvijotham, Ellie Pavlick, Ravi Rajakumar

CoRR, 2024

TaskLAMA: Probing the Complex Task Understanding of Language Models.

Quan Yuan, Mehran Kazemi, Xin Xu, Isaac Noble, Vaiva Imbrasaite, Deepak Ramachandran

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Prompt Expansion for Adaptive Text-to-Image Generation.

Siddhartha Datta, Alexander Ku, Deepak Ramachandran, Peter Anderson

CoRR, 2023

Rich Human Feedback for Text-to-Image Generation.

Youwei Liang, Junfeng He, Gang Li, Peizhao Li, Arseniy Klimovskiy, Nicholas Carolan, Jiao Sun, Jordi Pont-Tuset, Sarah Young, Feng Yang, Junjie Ke, Krishnamurthy Dj Dvijotham, Katie Collins, Yiwen Luo, Yang Li, Kai J. Kohlhoff, Deepak Ramachandran, Vidhya Navalpakkam

CoRR, 2023

Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking.

Jacob Eisenstein, Chirag Nagpal, Alekh Agarwal, Ahmad Beirami, Alex D'Amour, Dj Dvijotham, Adam Fisch, Katherine A. Heller, Stephen Pfohl, Deepak Ramachandran, Peter Shaw, Jonathan Berant

CoRR, 2023

Modeling subjectivity (by Mimicking Annotator Annotation) in toxic comment identification across diverse communities.

Senjuti Dutta, Sid Mittal, Sherol Chen, Deepak Ramachandran, Ravi Rajakumar, Ian Kivlichan, Sunny Mak, Alena Butryna, Praveen K. Paritosh

CoRR, 2023

Demystifying Embedding Spaces using Large Language Models.

Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier

CoRR, 2023

Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play.

Jeremiah Zhe Liu, Krishnamurthy (Dj) Dvijotham, Jihyeon Lee, Quan Yuan, Martin Strobel, Balaji Lakshminarayanan, Deepak Ramachandran

CoRR, 2023

Understanding Finetuning for Factual Knowledge Extraction from Language Models.

Mehran Kazemi, Sid Mittal, Deepak Ramachandran

CoRR, 2023

KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals.

Sandeep Silwal, Sara Ahmadian, Andrew Nystrom, Andrew McCallum, Deepak Ramachandran, Seyed Mehran Kazemi

Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 2023

BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information.

Mehran Kazemi, Quan Yuan, Deepti Bhatia, Najoung Kim, Xin Xu, Vaiva Imbrasaite, Deepak Ramachandran

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Realistic but Non-Identifiable Synthetic User Data Generation.

Isaac Noble, Ivan Vendrov, Xin Xu, Deepak Ramachandran

Proceedings of EvalRS: A Rounded Evaluation Of Recommender Systems 2023 co-located with 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2023), 2023

Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play.

Jeremiah Zhe Liu, Krishnamurthy (Dj) Dvijotham, Jihyeon Lee, Quan Yuan, Balaji Lakshminarayanan, Deepak Ramachandran

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic.

Connor Pryor, Quan Yuan, Jeremiah Z. Liu, Mehran Kazemi, Deepak Ramachandran, Tania Bedrax-Weiss, Lise Getoor

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

LAMBADA: Backward Chaining for Automated Reasoning in Natural Language.

Mehran Kazemi, Najoung Kim, Deepti Bhatia, Xin Xu, Deepak Ramachandran

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

LAMBADA: Backward Chaining for Automated Reasoning in Natural Language.

Seyed Mehran Kazemi, Najoung Kim, Deepti Bhatia, Xin Xu, Deepak Ramachandran

CoRR, 2022

Tackling Provably Hard Representative Selection via Graph Neural Networks.

Seyed Mehran Kazemi, Anton Tsitsulin, Hossein Esfandiari, MohammadHossein Bateni, Deepak Ramachandran, Bryan Perozzi, Vahab S. Mirrokni

CoRR, 2022

Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors.

Christina Göpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue.

Alon Albalak, Yi-Lin Tuan, Pegah Jandaghi, Connor Pryor, Luke Yoffe, Deepak Ramachandran, Lise Getoor, Jay Pujara, William Yang Wang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities.

Filip Radlinski, Craig Boutilier, Deepak Ramachandran, Ivan Vendrov

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering.

Najoung Kim, Ellie Pavlick, Burcu Karagol Ayan, Deepak Ramachandran

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

The Association for the Advancement of Artificial Intelligence 2020 Workshop Program.

Grace Bang, Guy Barash, Ryan Beal, Jacques Calì, Mauricio Castillo-Effen, Xin Cynthia Chen, Niyati Chhaya, Rachel Cummings, Rohan Dhoopar, Sebastijan Dumancic, Huáscar Espinoza, Eitan Farchi, Ferdinando Fioretto, Raquel Fuentetaja, Christopher William Geib, Odd Erik Gundersen, José Hernández-Orallo, Xiaowei Huang, Kokil Jaidka, Sarah Keren, Seokhwan Kim, Michel Galley, Xiaomo Liu, Tyler Lu, Zhiqiang Ma, Richard Mallah, John A. McDermid, Martin Michalowski, Reuth Mirsky, Seán Ó hÉigeartaigh, Deepak Ramachandran, Javier Segovia Aguas, Onn Shehory, Arash Shaban-Nejad, Vered Shwartz, Siddharth Srivastava, Kartik Talamadupula, Jian Tang, Pascal Van Hentenryck, Dell Zhang, Jian Zhang

AI Mag., 2020

Do Language Embeddings capture Scales?

Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth

Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

2019

How Large Are Lions? Inducing Distributions over Quantitative Attributes.

Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2015

An End-to-End Conversational Second Screen Application for TV Program Discovery.

Peter Z. Yeh, Deepak Ramachandran, Benjamin Douglas, Adwait Ratnaparkhi, William Jarrold, Ronald Provine, Peter F. Patel-Schneider, Stephen Laverty, Nirvana Tikku, Sean Brown, Jeremy Mendel, Adam Emfield

AI Mag., 2015

Belief Tracking with Stacked Relational Trees.

Deepak Ramachandran, Adwait Ratnaparkhi

Proceedings of the SIGDIAL 2015 Conference, 2015

A TV Program Discovery Dialog System using recommendations.

Deepak Ramachandran, Mark A. Fanty, Ronald Provine, Peter Z. Yeh, William Jarrold, Adwait Ratnaparkhi, Benjamin Douglas

Proceedings of the SIGDIAL 2015 Conference, 2015

2014

The Dialog State Tracking Challenge Series.

Jason D. Williams, Matthew Henderson, Antoine Raux, Blaise Thomson, Alan W. Black, Deepak Ramachandran

AI Mag., 2014

An end-to-end dialog system for TV program discovery.

Deepak Ramachandran, Peter Z. Yeh, William Jarrold, Benjamin Douglas, Adwait Ratnaparkhi, Ronald Provine, Jeremy Mendel, Adam Emfield

Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

A Speech-Driven Second Screen Application for TV Program Discovery.

Peter Z. Yeh, Benjamin Douglas, William Jarrold, Adwait Ratnaparkhi, Deepak Ramachandran, Peter F. Patel-Schneider, Stephen Laverty, Nirvana Tikku, Sean Brown, Jeremy Mendel

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

The Dialog State Tracking Challenge.

Jason D. Williams, Antoine Raux, Deepak Ramachandran, Alan W. Black

Proceedings of the SIGDIAL 2013 Conference, 2013

Driver familiarity modeling for generating navigation directions.

Deepak Ramachandran, Igor V. Karpov, Rakesh Gupta, Antoine Raux

Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

2012

Landmark-Based Location Belief Tracking in a Spoken Dialog System.

Yi Ma, Antoine Raux, Deepak Ramachandran, Rakesh Gupta

Proceedings of the SIGDIAL 2012 Conference, 2012

Improving Hybrid Vehicle Fuel Efficiency Using Inverse Reinforcement Learning.

Adam Vogel, Deepak Ramachandran, Rakesh Gupta, Antoine Raux

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Knowledge and Ignorance in Reinforcement Learning

Deepak Ramachandran

PhD thesis, 2011

2010

Probabilistic Ontology Trees for Belief Tracking in Dialog Systems.

Neville Mehta, Rakesh Gupta, Antoine Raux, Deepak Ramachandran, Stefan Krawczyk

Proceedings of the SIGDIAL 2010 Conference, 2010

Dynamic language modeling using Bayesian networks for spoken dialog systems.

Antoine Raux, Neville Mehta, Deepak Ramachandran, Rakesh Gupta

Proceedings of the INTERSPEECH 2010, 2010

2009

Trust and Online Reputation Systems.

Ming Kwan, Deepak Ramachandran

Proceedings of the Computing with Social Trust, 2009

Smoothed Sarsa: Reinforcement learning for robot delivery tasks.

Deepak Ramachandran, Rakesh Gupta

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

2008

ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning.

Nicolas Loeff, David A. Forsyth, Deepak Ramachandran

Proceedings of the Machine Learning, 2008

2007

Bayesian Inverse Reinforcement Learning.

Deepak Ramachandran, Eyal Amir

Proceedings of the IJCAI 2007, 2007

Using Common Sense for Decision Making in an Adventure Game.

Deepak Ramachandran

Proceedings of the Logical Formalizations of Commonsense Reasoning, 2007

2006

Towards Scaleable and Adaptive Document Routing Services.

Deepak Ramachandran, Neil H. Boyette, Isaac K. Cheng, Vikas Krishna, Savitha Srinivasan

Proceedings of the 2006 IEEE International Conference on Services Computing (SCC 2006), 2006

2005

Compact Propositional Encodings of First-Order Theories.

Deepak Ramachandran, Eyal Amir

Proceedings of the Proceedings, 2005