Vishwa Vinay

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 34

Top Topics

Text Extraction

Information Retrieval

Query Suggestion

Top Venues

Publications

Leif Azzopardi, Vishwa Vinay
Accessibility in Information Retrieval. CoRR (2024)
Rishi Agarwal, Tirupati Saketh Chandra, Vaidehi Patil, Aniruddha Mahapatra, Kuldeep Kulkarni, Vishwa Vinay
GEMS: Scene Expansion using Generative Models of Graphs. WACV (2023)
Nihal Jain, Praneetha Vaddamanu, Paridhi Maheshwari, Vishwa Vinay, Kuldeep Kulkarni
Self-supervised Multi-view Disentanglement for Expansion of Visual Collections. CoRR (2023)
Nihal Jain, Praneetha Vaddamanu, Paridhi Maheshwari, Vishwa Vinay, Kuldeep Kulkarni
Self-supervised Multi-view Disentanglement for Expansion of Visual Collections. WSDM (2023)
Vishwa Vinay, Manoj Kilaru, David Arbour
Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities. CoRR (2022)
Shashank Goel, Hritik Bansal, Sumit Bhatia, Ryan A. Rossi, Vishwa Vinay, Aditya Grover
CyCLIP: Cyclic Contrastive Language-Image Pretraining. CoRR (2022)
Gaurav Verma, Vishwa Vinay, Ryan A. Rossi, Srijan Kumar
Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions. EMNLP (2022)
Vishwa Vinay, Manoj Kilaru, David Arbour
Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities. SIGIR (2022)
Tathagat Verma, Abir De, Yateesh Agrawal, Vishwa Vinay, Soumen Chakrabarti
VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis. ICML (2022)
Shashank Goel, Hritik Bansal, Sumit Bhatia, Ryan A. Rossi, Vishwa Vinay, Aditya Grover
CyCLIP: Cyclic Contrastive Language-Image Pretraining. NeurIPS (2022)
Vinay Aggarwal, Praneetha Vaddamanu, Bhanu Prakash Reddy Guda, Balaji Vasan Srinivasan, Niyati Chhaya, Vishwa Vinay
NeurTEx: A Neural Framework for Template Extraction from Flat Images. CHI Extended Abstracts (2022)
Hansi Zeng, Hamed Zamani, Vishwa Vinay
Curriculum Learning for Dense Retrieval Distillation. SIGIR (2022)
Rishi Agarwal, Tirupati Saketh Chandra, Vaidehi Patil, Aniruddha Mahapatra, Kuldeep Kulkarni, Vishwa Vinay
GEMS: Scene Expansion using Generative Models of Graphs. CoRR (2022)
Hansi Zeng, Hamed Zamani, Vishwa Vinay
Curriculum Learning for Dense Retrieval Distillation. CoRR (2022)
Gaurav Verma, Vishwa Vinay, Ryan A. Rossi, Srijan Kumar
Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions. CoRR (2022)
Paridhi Maheshwari, Ritwick Chaudhry, Vishwa Vinay
Scene Graph Embeddings Using Relative Similarity Supervision. AAAI (2021)
Paridhi Maheshwari, Ritwick Chaudhry, Vishwa Vinay
Scene Graph Embeddings Using Relative Similarity Supervision. CoRR (2021)
Sunny Dhamnani, Ritwik Sinha, Vishwa Vinay, Lilly Kumari, Margarita Savova
Botcha: Detecting Malicious Non-Human Traffic in the Wild. CoRR (2021)
Victor S. Bursztyn, Jennifer Healey, Vishwa Vinay
Gaudí: Conversational Interactions with Deep Representations to Generate Image Collections. CoRR (2021)
Paridhi Maheshwari, Nihal Jain, Praneetha Vaddamanu, Dhananjay Raut, Shraiysh Vaishay, Vishwa Vinay
Generating Compositional Color Representations from Text. CoRR (2021)
Paridhi Maheshwari, Nihal Jain, Praneetha Vaddamanu, Dhananjay Raut, Shraiysh Vaishay, Vishwa Vinay
Generating Compositional Color Representations from Text. CIKM (2021)
Saed Rezayi, Nedim Lipka, Vishwa Vinay, Ryan A. Rossi, Franck Dernoncourt, Tracy Holloway King, Sheng Li
A Framework for Knowledge-Derived Query Suggestions. IEEE BigData (2021)
Gaurav Verma, Niyati Chhaya, Vishwa Vinay
"To Target or Not to Target": Identification and Analysis of Abusive Text Using Ensemble of Classifiers. CoRR (2020)
Paridhi Maheshwari, Manoj Ghuhan, Vishwa Vinay
Learning Colour Representations of Search Queries. CoRR (2020)
Gaurav Verma, Vishwa Vinay, Sahil Bansal, Shashank Oberoi, Makkunda Sharma, Prakhar Gupta
Using Image Captions and Multitask Learning for Recommending Query Reformulations. ECIR (1) (2020)
Paridhi Maheshwari, Manoj Ghuhan, Vishwa Vinay
Learning Colour Representations of Search Queries. SIGIR (2020)
Sunny Dhamnani, Ritwik Sinha, Vishwa Vinay, Lilly Kumari, Margarita Savova
Botcha: Detecting Malicious Non-Human Traffic in the Wild. OHARS@RecSys (2020)
Gaurav Verma, Vishwa Vinay, Sahil Bansal, Shashank Oberoi, Makkunda Sharma, Prakhar Gupta
Using Image Captions and Multitask Learning for Recommending Query Reformulations. CoRR (2020)
Balaji Vasan Srinivasan, Vishwa Vinay, Niyati Chhaya
Content-based layout optimization. IUI Workshops (2019)
Moumita Sinha, Vishwa Vinay, Harvineet Singh
Modeling Time to Open of Emails with a Latent State for User Engagement Level. CoRR (2019)
Balaji Vasan Srinivasan, Vishwa Vinay, Niyati Chhaya
Metrics based content layouting. IUI Companion (2019)
Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S. Muthukrishnan, Vishwa Vinay, Zheng Wen
Offline Evaluation of Ranking Policies with Click Models. CoRR (2018)
Moumita Sinha, Vishwa Vinay, Harvineet Singh
Modeling Time to Open of Emails with a Latent State for User Engagement Level. WSDM (2018)
Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S. Muthukrishnan, Vishwa Vinay, Zheng Wen
Offline Evaluation of Ranking Policies with Click Models. KDD (2018)
Mehdi Hosseini, Ingemar J. Cox, Natasa Milic-Frayling, Gabriella Kazai, Vishwa Vinay
On Aggregating Labels from Multiple Crowd Workers to Infer Relevance of Documents. ECIR (2012)
Mehdi Hosseini, Ingemar J. Cox, Natasa Milic-Frayling, Vishwa Vinay, Trevor Sweeting
Selecting a Subset of Queries for Acquisition of Further Relevance Judgements. ICTIR (2011)
Pavel Serdyukov, Mike Taylor, Vishwa Vinay, Matthew Richardson, Ryen W. White
Automatic People Tagging for Expertise Profiling in the Enterprise. ECIR (2011)
Mehdi Hosseini, Ingemar J. Cox, Natasa Milic-Frayling, Trevor Sweeting, Vishwa Vinay
Prioritizing relevance judgments to improve the construction of IR test collections. CIKM (2011)
Mehdi Hosseini, Ingemar J. Cox, Natasa Milic-Frayling, Vishwa Vinay
Measuring the Variability in Effectiveness of a Retrieval System. IRFC (2010)
Chung Tong Lee, Vishwa Vinay, Eduarda Mendes Rodrigues, Gabriella Kazai, Natasa Milic-Frayling, Aleksandar Ignjatovic
Measuring system performance and topic discernment using generalized adaptive-weight mean. CIKM (2009)
Dennis Fetterly, Nick Craswell, Vishwa Vinay
Measuring the Search Effectiveness of a Breadth-First Crawl. ECIR (2009)
Dennis Fetterly, Nick Craswell, Vishwa Vinay
The impact of crawl policy on web search effectiveness. SIGIR (2009)
Jianhan Zhu, Jun Wang, Vishwa Vinay, Ingemar J. Cox
Topic (query) selection for IR evaluation. SIGIR (2009)
Dennis Fetterly, Nick Craswell, Vishwa Vinay
Search effectiveness with a breadth-first crawl. SIGIR (2008)
Vishwa Vinay, Natasa Milic-Frayling, Ingemar J. Cox
Estimating retrieval effectiveness using rank distributions. CIKM (2008)
Leif Azzopardi, Vishwa Vinay
Retrievability: an evaluation measure for higher order information access tasks. CIKM (2008)
Leif Azzopardi, Vishwa Vinay
Accessibility in Information Retrieval. ECIR (2008)
Vishwa Vinay, Ingemar J. Cox, Natasa Milic-Frayling, Kenneth R. Wood
Can constrained relevance feedback and display strategies help users retrieve items on mobile devices? Inf. Retr. 9 (4) (2006)
Vishwa Vinay, Ingemar J. Cox, Natasa Milic-Frayling, Kenneth R. Wood
Measuring the Complexity of a Collection of Documents. ECIR (2006)
Vishwa Vinay, Ingemar J. Cox, Natasa Milic-Frayling, Kenneth R. Wood
On ranking the effectiveness of searches. SIGIR (2006)
Vishwa Vinay, Ingemar J. Cox, Natasa Milic-Frayling, Kenneth R. Wood
Evaluating Relevance Feedback Algorithms for Searching on Small Displays. ECIR (2005)
Vishwa Vinay, Ingemar J. Cox, Kenneth R. Wood, Natasa Milic-Frayling
A comparison of dimensionality reduction techniques for text retrieval. ICMLA (2005)
Vishwa Vinay, Kenneth R. Wood, Natasa Milic-Frayling, Ingemar J. Cox
Comparing relevance feedback algorithms for web search. WWW (Special interest tracks and posters) (2005)
Vishwa Vinay, Ingemar J. Cox, Natasa Milic-Frayling, Kenneth R. Wood
Evaluating Relevance Feedback and Display Strategies for Searching on Small Displays. SPIRE (2004)