| 2025 | ICML | Graph-Based Algorithms for Diverse Similarity Search. | Piyush Anand, Piotr Indyk, Ravishankar Krishnaswamy, Sepideh Mahabadi, Vikas C. Raykar, Kirankumar Shiragur, Haike Xu |
| 2018 | WACV | Learning Disentangled Multimodal Representations for the Fashion Domain. | Amrita Saha, Megha Nawhal, Mitesh M. Khapra, Vikas C. Raykar |
| 2017 | EMNLP | GRASP: Rich Patterns for Argumentation Mining. | Eyal Shnarch, Ran Levy, Vikas C. Raykar, Noam Slonim |
| 2017 | Interspeech | Joint Learning of Correlated Sequence Labeling Tasks Using Bidirectional Recurrent Neural Networks. | Vardaan Pahuja, Anirban Laha, Shachar Mirkin, Vikas C. Raykar, Lili Kotlerman, Guy Lev |
| 2016 | COLING | An Empirical Evaluation of various Deep Learning Architectures for Bi-Sequence Classification Tasks. | Anirban Laha, Vikas C. Raykar |
| 2014 | AISTATS | Sequential crowdsourced labeling as an epsilon-greedy exploration in a Markov Decision Process. | Vikas C. Raykar, Priyanka Agrawal |
| 2014 | COLING | Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora. | Noam Slonim, Ehud Aharoni, Carlos Alzate, Roy Bar-Haim, Yonatan Bilu, Lena Dankin, Iris Eiron, Daniel Hershcovich, Shay Hummel, Mitesh M. Khapra, Tamar Lavee, Ran Levy, Paul Matchen, Anatoly Polnarov, Vikas C. Raykar, Ruty Rinott, Amrita Saha, Naama Zwerdling, David Konopnicki, Dan Gutfreund |
| 2014 | SDM | AUC dominant unsupervised ensemble of binary classifiers. | Priyanka Agrawal, Vikas C. Raykar, Amrita Saha |
| 2012 | MICCAI | Learning to Locate Cortical Bone in MRI. | Gerardo Hermosillo Valadez, Vikas C. Raykar, Xiang Zhou |
| 2011 | MICCAI | Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach. | Meizhu Liu, Le Lu, Jinbo Bi, Vikas C. Raykar, Matthias Wolf, Marcos Salganicoff |
| 2010 | ICPR | A Multiple Instance Learning Approach toward Optimal Classification of Pathology Slides. | Murat Dundar, Sunil Badve, Vikas C. Raykar, Rohit K. Jain, Olcay Sertel, Metin N. Gurcan |
| 2010 | KDD | Designing efficient cascaded classifiers: tradeoff between accuracy and cost. | Vikas C. Raykar, Balaji Krishnapuram, Shipeng Yu |
| 2009 | ICML | Supervised learning from multiple experts: whom to trust when everyone lies a bit. | Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Anna K. Jerebko, Charles Florin, Gerardo Hermosillo Valadez, Luca Bogoni, Linda Moy |
| 2008 | ICML | Polyhedral classifier for target detection: a case study: colorectal cancer. | Murat Dundar, Matthias Wolf, Sarang Lakare, Marcos Salganicoff, Vikas C. Raykar |
| 2008 | ICML | Bayesian multiple instance learning: automatic feature selection and inductive transfer. | Vikas C. Raykar, Balaji Krishnapuram, Jinbo Bi, Murat Dundar, R. Bharat Rao |
| 2007 | CVPR | Multimodal Tracking for Smart Videoconferencing and Video Surveillance. | Dmitry N. Zotkin, Vikas C. Raykar, Ramani Duraiswami, Larry S. Davis |
| 2006 | SDM | Fast optimal bandwidth selection for kernel density estimation. | Vikas C. Raykar, Ramani Duraiswami |
| 2005 | ICASSP | The manifolds of spatial hearing. | Ramani Duraiswami, Vikas C. Raykar |
| 2005 | ICASSP | Approximate expressions for the mean and the covariance of the maximum likelihood estimator for acoustic source localization. | Vikas C. Raykar, Ramani Duraiswami |
| 2004 | ICASSP | Automatic position calibration of multiple microphones. | Vikas C. Raykar, Ramani Duraiswami |
| 2003 | Interspeech | Tracking a moving speaker using excitation source information. | Vikas C. Raykar, Ramani Duraiswami, B. Yegnanarayana, S. R. Mahadeva Prasanna |
| 2002 | ICPR | Virtual Audio System Customization Using Visual Matching of Ear Parameters. | Dmitry N. Zotkin, Ramani Duraiswami, Larry S. Davis, Ankur Mohan, Vikas C. Raykar |