Rahul Gupta
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
117
Venues
31
Active years
2001–2026
Best venue rank
A*
Where they publish
- AInterspeech18 papers
- MulticonferenceICASSP17 papers
- A*ACL14 papers
- A*EMNLP14 papers
- ANAACL11 papers
- A*AAAI5 papers
- BVTC4 papers
- NationalCOMSNETS3 papers
- AWSDM3 papers
- A*SIGMOD3 papers
- AEACL2 papers
- ATACAS2 papers
- A*ICML2 papers
- A*VLDB2 papers
- A*ICLR1 paper
- CICMLA1 paper
- A*INFOCOM1 paper
- BICTAI1 paper
- A*KDD1 paper
- NationalCOMAD1 paper
- BIJCNLP1 paper
- ACP1 paper
- BLPAR1 paper
- NationalVLSID1 paper
- BPIMRC1 paper
- A*WWW1 paper
- CICTD1 paper
- A*CHI1 paper
- A*ICDE1 paper
- CISCC1 paper
- A*SIGIR1 paper
Papers
117 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | ARES: Adaptive Red-Teaming and End-to-End Repair of Policy-Reward System. | Jiacheng Liang, Yao Ma, Tharindu Kumarage, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Aram Galstyan, Charith Peris |
| 2026 | ACL | From Narrow Unlearning to Emergent Misalignment in LLMs. | Erum Mushtaq, Anil Ramakrishna, Satyapriya Krishna, Sattvik Sahai, Prasoon Goyal, Kai-Wei Chang, Tao Zhang, Rahul Gupta |
| 2026 | ACL | AutoSUIT Bench - Automated Security UnIt Test Benchmark for LLM Coding. | Samuel Osebe, Fan Yang, Junyi Li, Yue Gu, Yongxin Wang, Satyapriya Krishna, Kai-Wei Chang, Aram Galstyan, Rahul Gupta, Weitong Ruan |
| 2026 | ACL | SWAN: Semantic Watermarking with Abstract Meaning Representation. | Ziping Ye, Gourab Dey, Christos Christodoulopoulos, Charith Peris, Anil Ramakrishna, Weitong Ruan, Aram Galstyan, Kai-Wei Chang, Rahul Gupta, Ninareh Mehrabi |
| 2025 | AAAI | HyperDefender: A Robust Framework for Hyperbolic GNNs. | Nikita Malik, Rahul Gupta, Sandeep Kumar |
| 2025 | ACL | Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation. | Tharindu Kumarage, Ninareh Mehrabi, Anil Ramakrishna, Xinyan Zhao, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta, Charith Peris |
| 2025 | EMNLP | Diagnosing Memorization in Chain-of-Thought Reasoning, One Token at a Time. | Huihan Li, You Chen, Siyuan Wang, Yixin He, Ninareh Mehrabi, Rahul Gupta, Xiang Ren |
| 2025 | EMNLP | LUME: LLM Unlearning with Multitask Evaluations. | Anil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong, Rahul Gupta |
| 2025 | EMNLP | Not Every Token Needs Forgetting: Selective Unlearning Balancing Forgetting and Utility in Large Language Models. | Yixin Wan, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Rahul Gupta |
| 2025 | ICLR | Certifying Counterfactual Bias in LLMs. | Isha Chaudhary, Qian Hu, Manoj Kumar, Morteza Ziyadi, Rahul Gupta, Gagandeep Singh |
| 2025 | ICMLA | Retrieval-Augmented Multi-Agent System for Rapid Statement of Work Generation. | Amulya Suravarjhula, Rashi Chandrashekhar Agrawal, Sakshi Jayesh Patel, Rahul Gupta |
| 2025 | INFOCOM | Demo: An End-to-End Assurance Framework for AI/ML Workloads in Datacenters. | Jit Gupta, Tarun Banka, Rahul Gupta, Mithun Dharmaraj, Jasleen Kaur |
| 2025 | NAACL | On Localizing and Deleting Toxic Memories in Large Language Models. | Anubrata Das, Manoj Kumar, Ninareh Mehrabi, Anil Ramakrishna, Anna Rumshisky, Kai-Wei Chang, Aram Galstyan, Morteza Ziyadi, Rahul Gupta |
| 2024 | ACL | Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. | Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan |
| 2024 | COMSNETS | Filtering-RRT for Autonomous Indoor Navigation. | Akshat Vikram Singh, Yash Agrawal, Rahul Gupta, Vivek Ashok Bohara |
| 2024 | EMNLP | Self-contradictory reasoning evaluation and detection. | Ziyi Liu, Soumya Sanyal, Isabelle Lee, Yongkang Du, Rahul Gupta, Yang Liu, Jieyu Zhao |
| 2024 | EMNLP | FLIRT: Feedback Loop In-context Red Teaming. | Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta |
| 2024 | EMNLP | Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification. | Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard S. Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris |
| 2024 | EMNLP | Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models. | Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan |
| 2024 | ICTAI | Towards Designing an Energy Efficient Accelerated Sparse Convolutional Neural Network. | Vijaypal Singh Rathor, Munesh Singh, Rahul Gupta, G. K. Sharma, Kshira Sagar Sahoo, Monowar Bhuyan |
| 2024 | NAACL | The steerability of large language models toward data-driven personas. | Junyi Li, Charith Peris, Ninareh Mehrabi, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta |
| 2024 | NAACL | Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies. | Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Yuval Pinter, Rahul Gupta |
| 2024 | NAACL | MICo: Preventative Detoxification of Large Language Models through Inhibition Control. | Roy Siegelmann, Ninareh Mehrabi, Palash Goyal, Prasoon Goyal, Lisa Bauer, Jwala Dhamala, Aram Galstyan, Rahul Gupta, Reza Ghanadan |
| 2024 | NAACL | Toward Informal Language Processing: Knowledge of Slang in Large Language Models. | Zhewei Sun, Qian Hu, Rahul Gupta, Richard S. Zemel, Yang Xu |
| 2023 | ACL | Resolving Ambiguities in Text-to-Image Generative Models. | Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta |
| 2023 | ACL | Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning. | Mustafa zdayi, Charith Peris, Jack FitzGerald, Christophe Dupuy, Jimit Majmudar, Haidar Khan, Rahil Parikh, Rahul Gupta |
| 2023 | ACL | Multi-VALUE: A Framework for Cross-Dialectal English NLP. | Caleb Ziems, William Barr Held, Jingfeng Yang, Jwala Dhamala, Rahul Gupta, Diyi Yang |
| 2023 | COMSNETS | ANROL: Autonomous Navigation based on ROS and Laser Odometry. | Akshat Vikram Singh, Yash Agrawal, Rahul Gupta, Abhishek Kumar, Vivek Ashok Bohara |
| 2023 | COMSNETS | ANROLA: Autonomous Navigation with ROS and Laser Odometry. | Akshat Vikram Singh, Yash Agrawal, Rahul Gupta, Abhishek Kumar, Vivek Ashok Bohara |
| 2023 | EACL | MUTANT: A Multi-sentential Code-mixed Hinglish Dataset. | Rahul Gupta, Vivek Srivastava, Mayank Singh |
| 2023 | EMNLP | Coordinated Replay Sample Selection for Continual Federated Learning. | Jack Good, Jimit Majmudar, Christophe Dupuy, Jixuan Wang, Charith Peris, Clement Chung, Richard S. Zemel, Rahul Gupta |
| 2023 | EMNLP | Faithful Model Evaluation for Model-Based Metrics. | Qian Hu, Palash Goyal, Rahul Gupta |
| 2023 | EMNLP | INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations. | Anil Ramakrishna, Rahul Gupta, Jens Lehmann, Morteza Ziyadi |
| 2023 | EMNLP | Evaluating Large Language Models on Controlled Generation Tasks. | Jiao Sun, Yufei Tian, Wangchunshu Zhou, Nan Xu, Qian Hu, Rahul Gupta, John Frederick Wieting, Nanyun Peng, Xuezhe Ma |
| 2023 | ICASSP | Quantifying Catastrophic Forgetting in Continual Federated Learning. | Christophe Dupuy, Jimit Majmudar, Jixuan Wang, Tanya G. Roosta, Rahul Gupta, Clement Chung, Jie Ding, Salman Avestimehr |
| 2023 | ICASSP | Self-Healing Through Error Detection, Attribution, and Retraining. | Ansel MacLaughlin, Anna Rumshisky, Rinat Khaziev, Anil Ramakrishna, Yuval Merhav, Rahul Gupta |
| 2023 | Interspeech | Sampling bias in NLU models: Impact and Mitigation. | Zefei Li, Anil Ramakrishna, Anna Rumshisky, Andy Rosenbaum, Saleh Soltan, Rahul Gupta |
| 2023 | KDD | FedMultimodal: A Benchmark for Multimodal Federated Learning. | Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan |
| 2023 | WSDM | Incorporating Fairness in Large Scale NLU Systems. | Rahul Gupta, Lisa Bauer, Kai-Wei Chang, Jwala Dhamala, Aram Galstyan, Palash Goyal, Qian Hu, Avni Khatri, Rohit Parimi, Charith Peris, Apurv Verma, Richard S. Zemel, Prem Natarajan |
| 2023 | WSDM | Privacy in the Time of Language Models. | Charith Peris, Christophe Dupuy, Jimit Majmudar, Rahil Parikh, Sami Smaili, Richard S. Zemel, Rahul Gupta |
| 2022 | ACL | On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. | Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan |
| 2022 | ACL | Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. | Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan |
| 2022 | ACL | Measuring Fairness of Text Classifiers via Prediction Sensitivity. | Satyapriya Krishna, Rahul Gupta, Apurv Verma, Jwala Dhamala, Yada Pruksachatkun, Kai-Wei Chang |
| 2022 | ACL | Canary Extraction in Natural Language Understanding Models. | Rahil Parikh, Christophe Dupuy, Rahul Gupta |
| 2022 | COMAD | Towards Continuous Respiration Monitoring Using Mask. | Neel Patel, Rahul Gupta, Anas Ali |
| 2022 | EMNLP | Improving Large-Scale Conversational Assistants using Model Interpretation based Training Sample Selection. | Stefan Schroedl, Manoj Kumar, Kiana Hajebi, Morteza Ziyadi, Sriram Venkatapathy, Anil Ramakrishna, Rahul Gupta, Pradeep Natarajan |
| 2022 | ICASSP | An Efficient DP-SGD Mechanism for Large Scale NLU Models. | Christophe Dupuy, Radhika Arava, Rahul Gupta, Anna Rumshisky |
| 2022 | ICASSP | Learnings from Federated Learning in The Real World. | Christophe Dupuy, Tanya G. Roosta, Leo Long, Clement Chung, Rahul Gupta, Salman Avestimehr |
| 2022 | ICASSP | Advin: Automatically Discovering Novel Domains and Intents from User Text Utterances. | Nikhita Vedula, Rahul Gupta, Aman Alok, Mukund Sridhar, Shankar Ananthakrishnan |
| 2022 | IJCNLP | Chasing the Tail with Domain Generalization: A Case Study on Frequency-Enriched Datasets. | Manoj Kumar, Anna Rumshisky, Rahul Gupta |
| 2022 | NAACL | Controlled Data Generation via Insertion Operations for NLU. | Manoj Kumar, Yuval Merhav, Haidar Khan, Rahul Gupta, Anna Rumshisky, Wael Hamza |
| 2022 | NAACL | FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks. | Bill Yuchen Lin, Chaoyang He, Zihang Ze, Hulin Wang, Yufen Hua, Christophe Dupuy, Rahul Gupta, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr |
| 2022 | NAACL | Training Mixed-Domain Translation Models via Federated Learning. | Peyman Passban, Tanya G. Roosta, Rahul Gupta, Ankit Chadha, Clement Chung |
| 2022 | NAACL | Federated Learning with Noisy User Feedback. | Rahul Sharma, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, Rahul Gupta |
| 2021 | ACL | Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification. | Yada Pruksachatkun, Satyapriya Krishna, Jwala Dhamala, Rahul Gupta, Kai-Wei Chang |
| 2021 | EACL | ADePT: Auto-encoder based Differentially Private Text Transformation. | Satyapriya Krishna, Rahul Gupta, Christophe Dupuy |
| 2021 | EMNLP | Towards Realistic Single-Task Continuous Learning Research for NER. | Justin Payan, Yuval Merhav, He Xie, Satyapriya Krishna, Anil Ramakrishna, Mukund Sridhar, Rahul Gupta |
| 2021 | VTC | Simultaneous Wireless Power Transfer and Modulation Classification. | Rahul Gupta, Ioannis Krikidis |
| 2020 | CP | Phase Transition Behavior in Knowledge Compilation. | Rahul Gupta, Subhajit Roy, Kuldeep S. Meel |
| 2020 | ICASSP | Design Considerations for Hypothesis Rejection Modules in Spoken Language Understanding Systems. | Aman Alok, Rahul Gupta, Shankar Ananthakrishnan |
| 2020 | ICASSP | Fast Intent Classification for Spoken Language Understanding Systems. | Akshit Tyagi, Varun Sharma, Rahul Gupta, Lynn Samson, Nan Zhuang, Zihang Wang, Bill Campbell |
| 2019 | AAAI | Deep Reinforcement Learning for Syntactic Error Repair in Student Programs. | Rahul Gupta, Aditya Kanade, Shirish K. Shevade |
| 2019 | AAAI | A Task in a Suit and a Tie: Paraphrase Generation with Semantic Augmentation. | Su Wang, Rahul Gupta, Nancy Chang, Jason Baldridge |
| 2019 | ICASSP | On Evaluating CNN Representations for Low Resource Medical Image Classification. | Taruna Agrawal, Rahul Gupta, Shrikanth S. Narayanan |
| 2019 | ICASSP | Data Augmentation for Low Resource Sentiment Analysis Using Generative Adversarial Networks. | Rahul Gupta |
| 2019 | Interspeech | One-vs-All Models for Asynchronous Training: An Empirical Analysis. | Rahul Gupta, Aman Alok, Shankar Ananthakrishnan |
| 2019 | VTC | Blind Modulation Classification for OFDM in the Presence of Timing, Frequency, and Phase Offsets. | Rahul Gupta, Sushant Kumar, Sudhan Majhi |
| 2019 | TACAS | WAPS: Weighted and Projected Sampling. | Rahul Gupta, Shubham Sharma, Subhajit Roy, Kuldeep S. Meel |
| 2018 | ICASSP | Semi-Supervised and Transfer Learning Approaches for Low Resource Sentiment Classification. | Rahul Gupta, Saurabh Sahu, Carol Y. Espy-Wilson, Shrikanth S. Narayanan |
| 2018 | ICASSP | Smoothing Model Predictions Using Adversarial Training Procedures for Speech Based Emotion Recognition. | Saurabh Sahu, Rahul Gupta, Ganesh Sivaraman, Carol Y. Espy-Wilson |
| 2018 | Interspeech | On Enhancing Speech Emotion Recognition Using Generative Adversarial Networks. | Saurabh Sahu, Rahul Gupta, Carol Y. Espy-Wilson |
| 2018 | LPAR | Knowledge Compilation meets Uniform Sampling. | Shubham Sharma, Rahul Gupta, Subhajit Roy, Kuldeep S. Meel |
| 2018 | VTC | Blind Modulation Classification of Different Variants of QPSK and 8-PSK for Multiple-Antenna Systems with Transmission Impairments. | Rahul Gupta, Sudhan Majhi, Octavia A. Dobre |
| 2018 | SIGMOD | Feature Selection Methods For Understanding Business Competitor Relationships. | Rahul Gupta, Jay Pujara, Craig A. Knoblock, Shushyam M. Sharanappa, Bharat Pulavarti, Gerard Hoberg, Gordon Phillips |
| 2018 | VLSID | An NMOS Low Drop-out Voltage Regulator with -17dB Wide-Band Power Supply Rejection for SerDes in 22FDX. | Nitin Bansal, Rahul Gupta |
| 2017 | AAAI | DeepFix: Fixing Common C Language Errors by Deep Learning. | Rahul Gupta, Soham Pal, Aditya Kanade, Shirish K. Shevade |
| 2017 | ICASSP | A knowledge transfer and boosting approach to the prediction of affect in movies. | Sabyasachee Baruah, Rahul Gupta, Shrikanth S. Narayanan |
| 2017 | Interspeech | An Affect Prediction Approach Through Depression Severity Parameter Incorporation in Neural Networks. | Rahul Gupta, Saurabh Sahu, Carol Y. Espy-Wilson, Shrikanth S. Narayanan |
| 2017 | Interspeech | Transfer Learning Between Concepts for Human Behavior Modeling: An Application to Sincerity and Deception Prediction. | Qinyi Luo, Rahul Gupta, Shrikanth S. Narayanan |
| 2017 | Interspeech | Adversarial Auto-Encoders for Speech Based Emotion Recognition. | Saurabh Sahu, Rahul Gupta, Ganesh Sivaraman, Wael AbdAlmageed, Carol Y. Espy-Wilson |
| 2017 | PIMRC | Novel blind modulation classification of circular and linearly modulated signals using cyclic cumulants. | Sudhan Majhi, Rahul Gupta, Weidong Xiang |
| 2016 | ICASSP | Pathological speech processing: State-of-the-art, current challenges, and future directions. | Rahul Gupta, Theodora Chaspari, Jangwon Kim, Naveen Kumar, Daniel Bone, Shrikanth S. Narayanan |
| 2016 | Interspeech | Acoustic-Prosodic and Turn-Taking Features in Interactions with Children with Neurodevelopmental Disorders. | Daniel Bone, Somer Bishop, Rahul Gupta, Sungbok Lee, Shrikanth S. Narayanan |
| 2016 | Interspeech | Automatic Estimation of Perceived Sincerity from Spoken Language. | Brandon M. Booth, Rahul Gupta, Pavlos Papadopoulos, Ruchir Travadi, Shrikanth S. Narayanan |
| 2016 | Interspeech | Predicting Affective Dimensions Based on Self Assessed Depression Severity. | Rahul Gupta, Shrikanth S. Narayanan |
| 2016 | Interspeech | Laughter Valence Prediction in Motivational Interviewing Based on Lexical and Acoustic Cues. | Rahul Gupta, Nishant Nath, Taruna Agrawal, Panayiotis G. Georgiou, David C. Atkins, Shrikanth S. Narayanan |
| 2016 | Interspeech | Objective Language Feature Analysis in Children with Neurodevelopmental Disorders During Autism Assessment. | Manoj Kumar, Rahul Gupta, Daniel Bone, Nikolaos Malandrakis, Somer Bishop, Shrikanth S. Narayanan |
| 2016 | Interspeech | An Expectation Maximization Approach to Joint Modeling of Multidimensional Ratings Derived from Multiple Annotators. | Anil Ramakrishna, Rahul Gupta, Ruth B. Grossman, Shrikanth S. Narayanan |
| 2016 | TACAS | Partial Order Reduction for Event-Driven Multi-threaded Programs. | Pallavi Maiya, Rahul Gupta, Aditya Kanade, Rupak Majumdar |
| 2015 | ICASSP | A language-based generative model framework for behavioral analysis of couples' therapy. | Sandeep Nallan Chakravarthula, Rahul Gupta, Brian R. Baucom, Panayiotis G. Georgiou |
| 2015 | ICASSP | A mixture of experts approach towards intelligibility classification of pathological speech. | Rahul Gupta, Kartik Audhkhasi, Shrikanth S. Narayanan |
| 2015 | Interspeech | Automated evaluation of non-native English pronunciation quality: combining knowledge- and data-driven features at multiple time scales. | Matthew P. Black, Daniel Bone, Zisis Iason Skordilis, Rahul Gupta, Wei Xia, Pavlos Papadopoulos, Sandeep Nallan Chakravarthula, Bo Xiao, Maarten Van Segbroeck, Jangwon Kim, Panayiotis G. Georgiou, Shrikanth S. Narayanan |
| 2015 | Interspeech | Analysis and modeling of the role of laughter in motivational interviewing based psychotherapy conversations. | Rahul Gupta, Theodora Chaspari, Panayiotis G. Georgiou, David C. Atkins, Shrikanth S. Narayanan |
| 2015 | Interspeech | Automatic estimation of parkinson's disease severity from diverse speech tasks. | Jangwon Kim, Md. Nasir, Rahul Gupta, Maarten Van Segbroeck, Daniel Bone, Matthew P. Black, Zisis Iason Skordilis, Zhaojun Yang, Panayiotis G. Georgiou, Shrikanth S. Narayanan |
| 2015 | SIGMOD | Mining Subjective Properties on the Web. | Immanuel Trummer, Alon Y. Halevy, Hongrae Lee, Sunita Sarawagi, Rahul Gupta |
| 2014 | EMNLP | ReNoun: Fact Extraction for Nominal Attributes. | Mohamed Yahya, Steven Whang, Rahul Gupta, Alon Y. Halevy |
| 2014 | ICASSP | Training ensemble of diverse classifiers on feature subsets. | Rahul Gupta, Kartik Audhkhasi, Shrikanth S. Narayanan |
| 2014 | Interspeech | Variable Span disfluency detection in ASR transcripts. | Rahul Gupta, Sankaranarayanan Ananthakrishnan, Zhaojun Yang, Shrikanth S. Narayanan |
| 2014 | Interspeech | Predicting client's inclination towards target behavior change in motivational interviewing and investigating the role of laughter. | Rahul Gupta, Panayiotis G. Georgiou, David C. Atkins, Shrikanth S. Narayanan |
| 2014 | WWW | Knowledge base completion via search-based question answering. | Robert West, Evgeniy Gabrilovich, Kevin Murphy, Shaohua Sun, Rahul Gupta, Dekang Lin |
| 2013 | Interspeech | Paralinguistic event detection from speech using probabilistic time-series smoothing and masking. | Rahul Gupta, Kartik Audhkhasi, Sungbok Lee, Shrikanth S. Narayanan |
| 2012 | ICASSP | Classification of emotional content of sighs in dyadic human interactions. | Rahul Gupta, Chi-Chun Lee, Shrikanth S. Narayanan |
| 2011 | WSDM | Joint training for open-domain extraction on the web: exploiting overlap when supervision is limited. | Rahul Gupta, Sunita Sarawagi |
| 2010 | ICTD | Evaluating facilitated video instruction for primary schools in rural India. | Amit Saxena, Urvashi Sahni, Rahul Gupta, Anjana Arora, Richard Anderson, Natalie Linnell |
| 2008 | ICML | Accurate max-margin training for structured output spaces. | Sunita Sarawagi, Rahul Gupta |
| 2008 | VTC | Experimental Study of the Effect of Paint on Embedded Automotive Antennas. | Brendan Pell, Wayne S. T. Rowe, Edin Sulic, Kamran Ghorbani, Sabu John, Rahul Gupta, Kefei Zhang, Brian Hughes |
| 2007 | CHI | Multiple mice for retention tasks in disadvantaged schools. | Udai Singh Pawar, Joyojeet Pal, Rahul Gupta, Kentaro Toyama |
| 2007 | ICML | Efficient inference with cardinality-based clique potentials. | Rahul Gupta, Ajit A. Diwan, Sunita Sarawagi |
| 2007 | SIGMOD | LIPTUS: associating structured and unstructured information in a banking environment. | Manish Bhide, Ajay Gupta, Rahul Gupta, Prasan Roy, Mukesh K. Mohania, Zenita Ichhaporia |
| 2006 | VLDB | Creating Probabilistic Databases from Information Extraction Models. | Rahul Gupta, Sunita Sarawagi |
| 2004 | AAAI | SEM-Ether: Semantic Web Based Pervasive Computing Framework - Integrating Web, Devices and People. | Sushil Puradkar, Sachin Singh, Chintan Patel, Kartik Vishwanath, Rahul Gupta, Yugyung Lee |
| 2004 | ICDE | EShopMonitor: A Web Content Monitoring Tool. | Neeraj Agrawal, Rema Ananthanarayanan, Rahul Gupta, Sachindra Joshi, Raghu Krishnapuram, Sumit Negi |
| 2002 | ISCC | Throughput enhancement in wireless ad hoc networks with spatial channels a MAC layer perspective. | Dhananjay Lal, Rahul Gupta, Dharma P. Agrawal |
| 2002 | VLDB | Adaptable Similarity Search using Non-Relevant Information. | T. V. Ashwin, Rahul Gupta, Sugata Ghosal |
| 2001 | NAACL | Monitoring the News: a TDT demonstration system. | David Frey, Rahul Gupta, Vikas Khandelwal, Victor Lavrenko, Anton Leuski, James Allan |
| 2001 | NAACL | An Evaluation Corpus For Temporal Summarization. | Vikas Khandelwal, Rahul Gupta, James Allan |
| 2001 | SIGIR | Temporal Summaries of News Topics. | James Allan, Rahul Gupta, Vikas Khandelwal |