Deepak Ramachandran
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
33
Venues
14
Active years
2005–2025
Best venue rank
A*
Where they publish
Papers
33 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation. | Xiaoying Xing, Avinab Saha, Junfeng He, Susan Hao, Paul Vicol, Moonkyung Ryu, Gang Li, Sahil Singla, Sarah Young, Yinxiao Li, Feng Yang, Deepak Ramachandran |
| 2025 | ICCV | Erasing More Than Intended? How Concept Erasure Degrades the Generation of Non-Target Concepts. | Ibtihel Amara, Ahmed Imtiaz Humayun, Ivana Kajic, Zarana Parekh, Natalie Harris, Sarah Young, Chirag Nagpal, Najoung Kim, Junfeng He, Cristina Nader Vasconcelos, Deepak Ramachandran, Golnoosh Farnadi, Katherine A. Heller, Mohammad Havaei, Negar Rostamzadeh |
| 2025 | ICLR | What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models. | Ahmed Imtiaz Humayun, Ibtihel Amara, Cristina Nader Vasconcelos, Deepak Ramachandran, Candice Schumann, Junfeng He, Katherine A. Heller, Golnoosh Farnadi, Negar Rostamzadeh, Mohammad Havaei |
| 2025 | ICML | Preference Adaptive and Sequential Text-to-Image Generation. | Ofir Nabati, Guy Tennenholtz, Chih-Wei Hsu, Moonkyung Ryu, Deepak Ramachandran, Yinlam Chow, Xiang Li, Craig Boutilier |
| 2024 | AAAI | TaskLAMA: Probing the Complex Task Understanding of Language Models. | Quan Yuan, Mehran Kazemi, Xin Xu, Isaac Noble, Vaiva Imbrasaite, Deepak Ramachandran |
| 2024 | ACL | Prompt Expansion for Adaptive Text-to-Image Generation. | Siddhartha Datta, Alexander Ku, Deepak Ramachandran, Peter Anderson |
| 2024 | AIES | Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation. | 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 |
| 2024 | CVPR | 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, Katherine M. Collins, Yiwen Luo, Yang Li, Kai J. Kohlhoff, Deepak Ramachandran, Vidhya Navalpakkam |
| 2024 | ICLR | 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 |
| 2023 | ACL | LAMBADA: Backward Chaining for Automated Reasoning in Natural Language. | Mehran Kazemi, Najoung Kim, Deepti Bhatia, Xin Xu, Deepak Ramachandran |
| 2023 | ACL | 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 |
| 2023 | ICLR | Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play. | Jeremiah Zhe Liu, Krishnamurthy (Dj) Dvijotham, Jihyeon Lee, Quan Yuan, Balaji Lakshminarayanan, Deepak Ramachandran |
| 2023 | ICLR | KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals. | Sandeep Silwal, Sara Ahmadian, Andrew Nystrom, Andrew McCallum, Deepak Ramachandran, Seyed Mehran Kazemi |
| 2023 | KDD | Realistic but Non-Identifiable Synthetic User Data Generation. | Isaac Noble, Ivan Vendrov, Xin Xu, Deepak Ramachandran |
| 2022 | AAAI | Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities. | Filip Radlinski, Craig Boutilier, Deepak Ramachandran, Ivan Vendrov |
| 2022 | EMNLP | 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 |
| 2022 | WWW | Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors. | Christina Gpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier |
| 2021 | ACL | Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering. | Najoung Kim, Ellie Pavlick, Burcu Karagol Ayan, Deepak Ramachandran |
| 2020 | EMNLP | Do Language Embeddings capture Scales? | Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth |
| 2019 | ACL | How Large Are Lions? Inducing Distributions over Quantitative Attributes. | Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth |
| 2015 | SIGdial | A TV Program Discovery Dialog System using recommendations. | Deepak Ramachandran, Mark A. Fanty, Ronald Provine, Peter Z. Yeh, William Jarrold, Adwait Ratnaparkhi, Benjamin Douglas |
| 2015 | SIGdial | Belief Tracking with Stacked Relational Trees. | Deepak Ramachandran, Adwait Ratnaparkhi |
| 2014 | AAAI | 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 |
| 2013 | SIGdial | The Dialog State Tracking Challenge. | Jason D. Williams, Antoine Raux, Deepak Ramachandran, Alan W. Black |
| 2012 | AAAI | Improving Hybrid Vehicle Fuel Efficiency Using Inverse Reinforcement Learning. | Adam Vogel, Deepak Ramachandran, Rakesh Gupta, Antoine Raux |
| 2012 | SIGdial | Landmark-Based Location Belief Tracking in a Spoken Dialog System. | Yi Ma, Antoine Raux, Deepak Ramachandran, Rakesh Gupta |
| 2010 | Interspeech | Dynamic language modeling using Bayesian networks for spoken dialog systems. | Antoine Raux, Neville Mehta, Deepak Ramachandran, Rakesh Gupta |
| 2010 | SIGdial | Probabilistic Ontology Trees for Belief Tracking in Dialog Systems. | Neville Mehta, Rakesh Gupta, Antoine Raux, Deepak Ramachandran, Stefan Krawczyk |
| 2009 | ICRA | Smoothed Sarsa: Reinforcement learning for robot delivery tasks. | Deepak Ramachandran, Rakesh Gupta |
| 2008 | ICML | ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning. | Nicolas Loeff, David A. Forsyth, Deepak Ramachandran |
| 2007 | IJCAI | Bayesian Inverse Reinforcement Learning. | Deepak Ramachandran, Eyal Amir |
| 2005 | AAAI | Compact Propositional Encodings of First-Order Theories. | Deepak Ramachandran, Eyal Amir |
| 2005 | IJCAI | Compact Propositional Encodings of First-Order Theories. | Deepak Ramachandran, Eyal Amir |