Vikas C. Raykar

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 9

Top Topics

Generalized Association Rules

Recurrent Neural Networks

Sequence Labeling

Top Venues

Publications

Vikas C. Raykar, Arindam Jati, Sumanta Mukherjee, Nupur Aggarwal, Kanthi K. Sarpatwar, Giridhar Ganapavarapu, Roman Vaculín
TsSHAP: Robust model agnostic feature-based explainability for time series forecasting. CoRR (2023)
Indrani Bhattacharya, Arkabandhu Chowdhury, Vikas C. Raykar
Multi-modal dialog for browsing large visual catalogs using exploration-exploitation paradigm in a joint embedding space. CoRR (2019)
Indrani Bhattacharya, Arkabandhu Chowdhury, Vikas C. Raykar
Multimodal Dialog for Browsing Large Visual Catalogs using Exploration-Exploitation Paradigm in a Joint Embedding Space. ICMR (2019)
Amrita Saha, Megha Nawhal, Mitesh M. Khapra, Vikas C. Raykar
Learning Disentangled Multimodal Representations for the Fashion Domain. WACV (2018)
Eyal Shnarch, Ran Levy, Vikas C. Raykar, Noam Slonim
GRASP: Rich Patterns for Argumentation Mining. EMNLP (2017)
Vardaan Pahuja, Anirban Laha, Shachar Mirkin, Vikas C. Raykar, Lili Kotlerman, Guy Lev
Joint Learning of Correlated Sequence Labeling Tasks Using Bidirectional Recurrent Neural Networks. INTERSPEECH (2017)
Vardaan Pahuja, Anirban Laha, Shachar Mirkin, Vikas C. Raykar, Lili Kotlerman, Guy Lev
Joint Learning of Correlated Sequence Labelling Tasks Using Bidirectional Recurrent Neural Networks. CoRR (2017)
Anirban Laha, Vikas C. Raykar
An Empirical Evaluation of various Deep Learning Architectures for Bi-Sequence Classification Tasks. COLING (2016)
Anirban Laha, Vikas C. Raykar
An Empirical Evaluation of various Deep Learning Architectures for Bi-Sequence Classification Tasks. CoRR (2016)
Amrita Saha, Sathish Indurthi, Shantanu Godbole, Subendhu Rongali, Vikas C. Raykar
Taxonomy grounded aggregation of classifiers with different label sets. CoRR (2015)
Vikas C. Raykar, Amrita Saha
Data Split Strategiesfor Evolving Predictive Models. ECML/PKDD (1) (2015)
A. P. Sarath Chandar, Stanislas Lauly, Hugo Larochelle, Mitesh M. Khapra, Balaraman Ravindran, Vikas C. Raykar, Amrita Saha
An Autoencoder Approach to Learning Bilingual Word Representations. CoRR (2014)
Priyanka Agrawal, Vikas C. Raykar, Amrita Saha
AUC dominant unsupervised ensemble of binary classifiers. SDM (2014)
Vikas C. Raykar, Priyanka Agrawal
Sequential crowdsourced labeling as an epsilon-greedy exploration in a Markov Decision Process. AISTATS (2014)
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
Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora. COLING (Demos) (2014)
A. P. Sarath Chandar, Stanislas Lauly, Hugo Larochelle, Mitesh M. Khapra, Balaraman Ravindran, Vikas C. Raykar, Amrita Saha
An Autoencoder Approach to Learning Bilingual Word Representations. NIPS (2014)
Gerardo Hermosillo Valadez, Vikas C. Raykar, Xiang Zhou
Learning to Locate Cortical Bone in MRI. MLMI (2012)
Vikas C. Raykar, Shipeng Yu
Eliminating Spammers and Ranking Annotators for Crowdsourced Labeling Tasks. J. Mach. Learn. Res. 13 (2012)
Xiang Sean Zhou, Yiqiang Zhan, Vikas C. Raykar, Gerardo Hermosillo Valadez, Luca Bogoni, Zhigang Peng
Mining anatomical, physiological and pathological information from medical images. SIGKDD Explor. 14 (1) (2012)
Vikas C. Raykar, Shipeng Yu
Ranking annotators for crowdsourced labeling tasks. NIPS (2011)
Meizhu Liu, Le Lu, Jinbo Bi, Vikas C. Raykar, Matthias Wolf, Marcos Salganicoff
Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach. MICCAI (3) (2011)
Murat Dundar, Sunil Badve, Gökhan Bilgin, Vikas C. Raykar, Rohit K. Jain, Olcay Sertel, Metin N. Gurcan
Computerized Classification of Intraductal Breast Lesions Using Histopathological Images. IEEE Trans. Biomed. Eng. 58 (7) (2011)
Murat Dundar, Sunil Badve, Vikas C. Raykar, Rohit K. Jain, Olcay Sertel, Metin N. Gurcan
A Multiple Instance Learning Approach toward Optimal Classification of Pathology Slides. ICPR (2010)
Vikas C. Raykar, Balaji Krishnapuram, Shipeng Yu
Designing efficient cascaded classifiers: tradeoff between accuracy and cost. KDD (2010)
Vikas C. Raykar, Linda H. Zhao
Nonparametric prior for adaptive sparsity. AISTATS (2010)
Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Gerardo Hermosillo Valadez, Charles Florin, Luca Bogoni, Linda Moy
Learning From Crowds. J. Mach. Learn. Res. 11 (2010)
Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Anna K. Jerebko, Charles Florin, Gerardo Hermosillo Valadez, Luca Bogoni, Linda Moy
Supervised learning from multiple experts: whom to trust when everyone lies a bit. ICML (2009)
Vlad I. Morariu, Balaji Vasan Srinivasan, Vikas C. Raykar, Ramani Duraiswami, Larry S. Davis
Automatic online tuning for fast Gaussian summation. NIPS (2008)
Murat Dundar, Matthias Wolf, Sarang Lakare, Marcos Salganicoff, Vikas C. Raykar
Polyhedral classifier for target detection: a case study: colorectal cancer. ICML (2008)
Vikas C. Raykar, Balaji Krishnapuram, Jinbo Bi, Murat Dundar, R. Bharat Rao
Bayesian multiple instance learning: automatic feature selection and inductive transfer. ICML (2008)
Balaji Krishnapuram, Jonathan Stoeckel, Vikas C. Raykar, R. Bharat Rao, Philippe Bamberger, Eli Ratner, Nicolas Merlet, Inna Stainvas, Menahem Abramov, Alexandra Manevitch
Multiple-Instance Learning Improves CAD Detection of Masses in Digital Mammography. Digital Mammography / IWDM (2008)
Vikas C. Raykar, Ramani Duraiswami, Balaji Krishnapuram
A Fast Algorithm for Learning a Ranking Function from Large-Scale Data Sets. IEEE Trans. Pattern Anal. Mach. Intell. 30 (7) (2008)
Vikas C. Raykar, Ramani Duraiswami, Balaji Krishnapuram
A fast algorithm for learning large scale preference relations. AISTATS (2007)
Vikas C. Raykar, Harald Steck, Balaji Krishnapuram, Cary Dehing-Oberije, Philippe Lambin
On Ranking in Survival Analysis: Bounds on the Concordance Index. NIPS (2007)
Dmitry N. Zotkin, Vikas C. Raykar, Ramani Duraiswami, Larry S. Davis
Multimodal Tracking for Smart Videoconferencing and Video Surveillance. CVPR (2007)
Vikas C. Raykar, Ramani Duraiswami
Fast optimal bandwidth selection for kernel density estimation. SDM (2006)
Vikas C. Raykar, Ramani Duraiswami
Approximate expressions for the mean and the covariance of the maximum likelihood estimator for acoustic source localization. ICASSP (3) (2005)
Vikas C. Raykar, B. Yegnanarayana, S. R. Mahadeva Prasanna, Ramani Duraiswami
Speaker Localization Using Excitation Source Information in Speech. IEEE Trans. Speech Audio Process. 13 (5-2) (2005)
Ramani Duraiswami, Vikas C. Raykar
The manifolds of spatial hearing. ICASSP (3) (2005)
Vikas C. Raykar, Igor Kozintsev, Rainer Lienhart
Position calibration of microphones and loudspeakers in distributed computing platforms. IEEE Trans. Speech Audio Process. 13 (1) (2005)
Vikas C. Raykar, Ramani Duraiswami
Automatic position calibration of multiple microphones. ICASSP (4) (2004)
Vikas C. Raykar, Ramani Duraiswami, B. Yegnanarayana, S. R. Mahadeva Prasanna
Tracking a moving speaker using excitation source information. INTERSPEECH (2003)
Vikas C. Raykar, Igor Kozintsev, Rainer Lienhart
Position calibration of audio sensors and actuators in a distributed computing platform. ACM Multimedia (2003)
Dmitry N. Zotkin, Ramani Duraiswami, Larry S. Davis, Ankur Mohan, Vikas C. Raykar
Virtual Audio System Customization Using Visual Matching of Ear Parameters. ICPR (3) (2002)