Deepak Ramachandran

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 40

Top Topics

Quantitative Attributes

Image Generation

Backward Chaining

Top Venues

Publications

Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier
Demystifying Embedding Spaces using Large Language Models. ICLR (2024)
Senjuti Dutta, Sherol Chen, Sunny Mak, Amnah Ahmad, Katherine Maeve Collins, Alena Butryna, Deepak Ramachandran, Krishnamurthy Dvijotham, Ellie Pavlick, Ravi Rajakumar
Understanding Subjectivity through the Lens of Motivational Context in Model-Generated Image Satisfaction. CoRR (2024)
Siddhartha Datta, Alexander Ku, Deepak Ramachandran, Peter Anderson
Prompt Expansion for Adaptive Text-to-Image Generation. ACL (1) (2024)
Quan Yuan, Mehran Kazemi, Xin Xu, Isaac Noble, Vaiva Imbrasaite, Deepak Ramachandran
TaskLAMA: Probing the Complex Task Understanding of Language Models. AAAI (2024)
Akhil Agnihotri, Rahul Jain, Deepak Ramachandran, Zheng Wen
Online Bandit Learning with Offline Preference Data. CoRR (2024)
Katherine M. Collins, Najoung Kim, Yonatan Bitton, Verena Rieser, Shayegan Omidshafiei, Yushi Hu, Sherol Chen, Senjuti Dutta, Minsuk Chang, Kimin Lee, Youwei Liang, Georgina Evans, Sahil Singla, Gang Li, Adrian Weller, Junfeng He, Deepak Ramachandran, Krishnamurthy Dj Dvijotham
Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation. CoRR (2024)
Connor Pryor, Quan Yuan, Jeremiah Z. Liu, Mehran Kazemi, Deepak Ramachandran, Tania Bedrax-Weiss, Lise Getoor
Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic. CoRR (2024)
Akhil Agnihotri, Rahul Jain, Deepak Ramachandran, Sahil Singla
e-COP : Episodic Constrained Optimization of Policies. CoRR (2024)
Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier
Demystifying Embedding Spaces using Large Language Models. CoRR (2023)
Quan Yuan, Mehran Kazemi, Xin Xu, Isaac Noble, Vaiva Imbrasaite, Deepak Ramachandran
TaskLAMA: Probing the Complex Task Understanding of Language Models. CoRR (2023)
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
Rich Human Feedback for Text-to-Image Generation. CoRR (2023)
Sandeep Silwal, Sara Ahmadian, Andrew Nystrom, Andrew McCallum, Deepak Ramachandran, Seyed Mehran Kazemi
KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals. SustaiNLP (2023)
Jeremiah Zhe Liu, Krishnamurthy (Dj) Dvijotham, Jihyeon Lee, Quan Yuan, Balaji Lakshminarayanan, Deepak Ramachandran
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play. ICLR (2023)
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
Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking. CoRR (2023)
Senjuti Dutta, Sid Mittal, Sherol Chen, Deepak Ramachandran, Ravi Rajakumar, Ian Kivlichan, Sunny Mak, Alena Butryna, Praveen K. Paritosh
Modeling subjectivity (by Mimicking Annotator Annotation) in toxic comment identification across diverse communities. CoRR (2023)
Siddhartha Datta, Alexander Ku, Deepak Ramachandran, Peter Anderson
Prompt Expansion for Adaptive Text-to-Image Generation. CoRR (2023)
Jeremiah Zhe Liu, Krishnamurthy (Dj) Dvijotham, Jihyeon Lee, Quan Yuan, Martin Strobel, Balaji Lakshminarayanan, Deepak Ramachandran
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play. CoRR (2023)
Mehran Kazemi, Sid Mittal, Deepak Ramachandran
Understanding Finetuning for Factual Knowledge Extraction from Language Models. CoRR (2023)
Mehran Kazemi, Quan Yuan, Deepti Bhatia, Najoung Kim, Xin Xu, Vaiva Imbrasaite, Deepak Ramachandran
BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information. NeurIPS (2023)
Connor Pryor, Quan Yuan, Jeremiah Z. Liu, Mehran Kazemi, Deepak Ramachandran, Tania Bedrax-Weiss, Lise Getoor
Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic. ACL (1) (2023)
Isaac Noble, Ivan Vendrov, Xin Xu, Deepak Ramachandran
Realistic but Non-Identifiable Synthetic User Data Generation. EvalRS@KDD (2023)
Mehran Kazemi, Anton Tsitsulin, Hossein Esfandiari, MohammadHossein Bateni, Deepak Ramachandran, Bryan Perozzi, Vahab Mirrokni
Tackling Provably Hard Representative Selection via Graph Neural Networks. Trans. Mach. Learn. Res. 2023 (2023)
Mehran Kazemi, Najoung Kim, Deepti Bhatia, Xin Xu, Deepak Ramachandran
LAMBADA: Backward Chaining for Automated Reasoning in Natural Language. ACL (1) (2023)
Mehran Kazemi, Quan Yuan, Deepti Bhatia, Najoung Kim, Xin Xu, Vaiva Imbrasaite, Deepak Ramachandran
BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information. CoRR (2023)
Sandeep Silwal, Sara Ahmadian, Andrew Nystrom, Andrew McCallum, Deepak Ramachandran, Seyed Mehran Kazemi
KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals. ICLR (2023)
Alon Albalak, Yi-Lin Tuan, Pegah Jandaghi, Connor Pryor, Luke Yoffe, Deepak Ramachandran, Lise Getoor, Jay Pujara, William Yang Wang
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue. CoRR (2022)
Seyed Mehran Kazemi, Najoung Kim, Deepti Bhatia, Xin Xu, Deepak Ramachandran
LAMBADA: Backward Chaining for Automated Reasoning in Natural Language. CoRR (2022)
Christina Göpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier
Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors. WWW (2022)
Seyed Mehran Kazemi, Anton Tsitsulin, Hossein Esfandiari, MohammadHossein Bateni, Deepak Ramachandran, Bryan Perozzi, Vahab S. Mirrokni
Tackling Provably Hard Representative Selection via Graph Neural Networks. CoRR (2022)
Alon Albalak, Yi-Lin Tuan, Pegah Jandaghi, Connor Pryor, Luke Yoffe, Deepak Ramachandran, Lise Getoor, Jay Pujara, William Yang Wang
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue. EMNLP (2022)
Christina Göpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier
Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors. CoRR (2022)
Filip Radlinski, Craig Boutilier, Deepak Ramachandran, Ivan Vendrov
Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities. AAAI (2022)
Najoung Kim, Ellie Pavlick, Burcu Karagol Ayan, Deepak Ramachandran
Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering. ACL/IJCNLP (1) (2021)
Najoung Kim, Ellie Pavlick, Burcu Karagol Ayan, Deepak Ramachandran
Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering. CoRR (2021)
Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth
Do Language Embeddings capture Scales? BlackboxNLP@EMNLP (2020)
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 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
The Association for the Advancement of Artificial Intelligence 2020 Workshop Program. AI Mag. 41 (4) (2020)
Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth
Do Language Embeddings Capture Scales? CoRR (2020)
Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth
Do Language Embeddings capture Scales? EMNLP (Findings) (2020)
Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth
How Large Are Lions? Inducing Distributions over Quantitative Attributes. CoRR (2019)
Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth
How Large Are Lions? Inducing Distributions over Quantitative Attributes. ACL (1) (2019)
Deepak Ramachandran, Mark A. Fanty, Ronald Provine, Peter Z. Yeh, William Jarrold, Adwait Ratnaparkhi, Benjamin Douglas
A TV Program Discovery Dialog System using recommendations. SIGDIAL Conference (2015)
Deepak Ramachandran, Adwait Ratnaparkhi
Belief Tracking with Stacked Relational Trees. SIGDIAL Conference (2015)
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
An End-to-End Conversational Second Screen Application for TV Program Discovery. AI Mag. 36 (3) (2015)
Deepak Ramachandran, Peter Z. Yeh, William Jarrold, Benjamin Douglas, Adwait Ratnaparkhi, Ronald Provine, Jeremy Mendel, Adam Emfield
An end-to-end dialog system for TV program discovery. SLT (2014)
Jason D. Williams, Matthew Henderson, Antoine Raux, Blaise Thomson, Alan W. Black, Deepak Ramachandran
The Dialog State Tracking Challenge Series. AI Mag. 35 (4) (2014)
Peter Z. Yeh, Benjamin Douglas, William Jarrold, Adwait Ratnaparkhi, Deepak Ramachandran, Peter F. Patel-Schneider, Stephen Laverty, Nirvana Tikku, Sean Brown, Jeremy Mendel
A Speech-Driven Second Screen Application for TV Program Discovery. AAAI (2014)
Jason D. Williams, Antoine Raux, Deepak Ramachandran, Alan W. Black
The Dialog State Tracking Challenge. SIGDIAL Conference (2013)
Deepak Ramachandran, Igor V. Karpov, Rakesh Gupta, Antoine Raux
Driver familiarity modeling for generating navigation directions. ITSC (2013)
Yi Ma, Antoine Raux, Deepak Ramachandran, Rakesh Gupta
Landmark-Based Location Belief Tracking in a Spoken Dialog System. SIGDIAL Conference (2012)
Adam Vogel, Deepak Ramachandran, Rakesh Gupta, Antoine Raux
Improving Hybrid Vehicle Fuel Efficiency Using Inverse Reinforcement Learning. AAAI (2012)
Neville Mehta, Rakesh Gupta, Antoine Raux, Deepak Ramachandran, Stefan Krawczyk
Probabilistic Ontology Trees for Belief Tracking in Dialog Systems. SIGDIAL Conference (2010)
Antoine Raux, Neville Mehta, Deepak Ramachandran, Rakesh Gupta
Dynamic language modeling using Bayesian networks for spoken dialog systems. INTERSPEECH (2010)
Deepak Ramachandran, Rakesh Gupta
Smoothed Sarsa: Reinforcement learning for robot delivery tasks. ICRA (2009)
Nicolas Loeff, David A. Forsyth, Deepak Ramachandran
ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning. ICML (2008)
Deepak Ramachandran
Using Common Sense for Decision Making in an Adventure Game. AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning (2007)
Deepak Ramachandran, Eyal Amir
Bayesian Inverse Reinforcement Learning. IJCAI (2007)
Deepak Ramachandran, Neil H. Boyette, Isaac K. Cheng, Vikas Krishna, Savitha Srinivasan
Towards Scaleable and Adaptive Document Routing Services. IEEE SCC (2006)
Deepak Ramachandran, Eyal Amir
Compact Propositional Encodings of First-Order Theories. IJCAI (2005)
Deepak Ramachandran, Eyal Amir
Compact Propositional Encodings of First-Order Theories. AAAI (2005)