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Vishwa Vinay
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2020 – today
- 2024
- [i16]Leif Azzopardi, Vishwa Vinay:
Accessibility in Information Retrieval. CoRR abs/2404.08628 (2024) - 2023
- [c37]Rishi Agarwal, Tirupati Saketh Chandra, Vaidehi Patil, Aniruddha Mahapatra, Kuldeep Kulkarni, Vishwa Vinay:
GEMS: Scene Expansion using Generative Models of Graphs. WACV 2023: 157-166 - [c36]Nihal Jain, Praneetha Vaddamanu, Paridhi Maheshwari, Vishwa Vinay, Kuldeep Kulkarni:
Self-supervised Multi-view Disentanglement for Expansion of Visual Collections. WSDM 2023: 841-849 - [i15]Nihal Jain, Praneetha Vaddamanu, Paridhi Maheshwari, Vishwa Vinay, Kuldeep Kulkarni:
Self-supervised Multi-view Disentanglement for Expansion of Visual Collections. CoRR abs/2302.02249 (2023) - 2022
- [c35]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: 408:1-408:7 - [c34]Gaurav Verma, Vishwa Vinay, Ryan A. Rossi, Srijan Kumar:
Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions. EMNLP 2022: 360-374 - [c33]Tathagat Verma, Abir De, Yateesh Agrawal, Vishwa Vinay, Soumen Chakrabarti:
VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis. ICML 2022: 22168-22183 - [c32]Shashank Goel, Hritik Bansal, Sumit Bhatia, Ryan A. Rossi, Vishwa Vinay, Aditya Grover:
CyCLIP: Cyclic Contrastive Language-Image Pretraining. NeurIPS 2022 - [c31]Vishwa Vinay, Manoj Kilaru, David Arbour:
Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities. SIGIR 2022: 622-632 - [c30]Hansi Zeng, Hamed Zamani, Vishwa Vinay:
Curriculum Learning for Dense Retrieval Distillation. SIGIR 2022: 1979-1983 - [i14]Hansi Zeng, Hamed Zamani, Vishwa Vinay:
Curriculum Learning for Dense Retrieval Distillation. CoRR abs/2204.13679 (2022) - [i13]Shashank Goel, Hritik Bansal, Sumit Bhatia, Ryan A. Rossi, Vishwa Vinay, Aditya Grover:
CyCLIP: Cyclic Contrastive Language-Image Pretraining. CoRR abs/2205.14459 (2022) - [i12]Vishwa Vinay, Manoj Kilaru, David Arbour:
Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities. CoRR abs/2206.02470 (2022) - [i11]Rishi Agarwal, Tirupati Saketh Chandra, Vaidehi Patil, Aniruddha Mahapatra, Kuldeep Kulkarni, Vishwa Vinay:
GEMS: Scene Expansion using Generative Models of Graphs. CoRR abs/2207.03729 (2022) - [i10]Gaurav Verma, Vishwa Vinay, Ryan A. Rossi, Srijan Kumar:
Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions. CoRR abs/2211.02646 (2022) - 2021
- [c29]Paridhi Maheshwari, Ritwick Chaudhry, Vishwa Vinay:
Scene Graph Embeddings Using Relative Similarity Supervision. AAAI 2021: 2328-2336 - [c28]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: 510-518 - [c27]Paridhi Maheshwari, Nihal Jain, Praneetha Vaddamanu, Dhananjay Raut, Shraiysh Vaishay, Vishwa Vinay:
Generating Compositional Color Representations from Text. CIKM 2021: 1222-1231 - [i9]Sunny Dhamnani, Ritwik Sinha, Vishwa Vinay, Lilly Kumari, Margarita Savova:
Botcha: Detecting Malicious Non-Human Traffic in the Wild. CoRR abs/2103.01428 (2021) - [i8]Paridhi Maheshwari, Ritwick Chaudhry, Vishwa Vinay:
Scene Graph Embeddings Using Relative Similarity Supervision. CoRR abs/2104.02381 (2021) - [i7]Paridhi Maheshwari, Nihal Jain, Praneetha Vaddamanu, Dhananjay Raut, Shraiysh Vaishay, Vishwa Vinay:
Generating Compositional Color Representations from Text. CoRR abs/2109.10477 (2021) - [i6]Victor S. Bursztyn, Jennifer Healey, Vishwa Vinay:
Gaudí: Conversational Interactions with Deep Representations to Generate Image Collections. CoRR abs/2112.04404 (2021) - 2020
- [c26]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: 681-696 - [c25]Sunny Dhamnani, Ritwik Sinha, Vishwa Vinay, Lilly Kumari, Margarita Savova:
Botcha: Detecting Malicious Non-Human Traffic in the Wild. OHARS@RecSys 2020: 51-59 - [c24]Paridhi Maheshwari, Manoj Ghuhan, Vishwa Vinay:
Learning Colour Representations of Search Queries. SIGIR 2020: 1389-1398 - [i5]Gaurav Verma, Vishwa Vinay, Sahil Bansal, Shashank Oberoi, Makkunda Sharma, Prakhar Gupta:
Using Image Captions and Multitask Learning for Recommending Query Reformulations. CoRR abs/2003.00708 (2020) - [i4]Gaurav Verma, Niyati Chhaya, Vishwa Vinay:
"To Target or Not to Target": Identification and Analysis of Abusive Text Using Ensemble of Classifiers. CoRR abs/2006.03256 (2020) - [i3]Paridhi Maheshwari, Manoj Ghuhan, Vishwa Vinay:
Learning Colour Representations of Search Queries. CoRR abs/2006.09904 (2020)
2010 – 2019
- 2019
- [c23]Balaji Vasan Srinivasan, Vishwa Vinay, Niyati Chhaya:
Metrics based content layouting. IUI Companion 2019: 121-122 - [c22]Balaji Vasan Srinivasan, Vishwa Vinay, Niyati Chhaya:
Content-based layout optimization. IUI Workshops 2019 - [i2]Moumita Sinha, Vishwa Vinay, Harvineet Singh:
Modeling Time to Open of Emails with a Latent State for User Engagement Level. CoRR abs/1908.06512 (2019) - 2018
- [c21]Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S. Muthukrishnan, Vishwa Vinay, Zheng Wen:
Offline Evaluation of Ranking Policies with Click Models. KDD 2018: 1685-1694 - [c20]Moumita Sinha, Vishwa Vinay, Harvineet Singh:
Modeling Time to Open of Emails with a Latent State for User Engagement Level. WSDM 2018: 531-539 - [i1]Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S. Muthukrishnan, Vishwa Vinay, Zheng Wen:
Offline Evaluation of Ranking Policies with Click Models. CoRR abs/1804.10488 (2018) - 2012
- [c19]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: 182-194 - 2011
- [c18]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: 641-646 - [c17]Pavel Serdyukov, Mike Taylor, Vishwa Vinay, Matthew Richardson, Ryen W. White:
Automatic People Tagging for Expertise Profiling in the Enterprise. ECIR 2011: 399-410 - [c16]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: 113-124 - 2010
- [c15]Mehdi Hosseini, Ingemar J. Cox, Natasa Milic-Frayling, Vishwa Vinay:
Measuring the Variability in Effectiveness of a Retrieval System. IRFC 2010: 70-83
2000 – 2009
- 2009
- [c14]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: 2033-2036 - [c13]Dennis Fetterly, Nick Craswell, Vishwa Vinay:
Measuring the Search Effectiveness of a Breadth-First Crawl. ECIR 2009: 388-399 - [c12]Dennis Fetterly, Nick Craswell, Vishwa Vinay:
The impact of crawl policy on web search effectiveness. SIGIR 2009: 580-587 - [c11]Jianhan Zhu, Jun Wang, Vishwa Vinay, Ingemar J. Cox:
Topic (query) selection for IR evaluation. SIGIR 2009: 802-803 - 2008
- [c10]Leif Azzopardi, Vishwa Vinay:
Retrievability: an evaluation measure for higher order information access tasks. CIKM 2008: 561-570 - [c9]Vishwa Vinay, Natasa Milic-Frayling, Ingemar J. Cox:
Estimating retrieval effectiveness using rank distributions. CIKM 2008: 1425-1426 - [c8]Leif Azzopardi, Vishwa Vinay:
Accessibility in Information Retrieval. ECIR 2008: 482-489 - [c7]Dennis Fetterly, Nick Craswell, Vishwa Vinay:
Search effectiveness with a breadth-first crawl. SIGIR 2008: 755-756 - 2006
- [j1]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): 435-453 (2006) - [c6]Vishwa Vinay, Ingemar J. Cox, Natasa Milic-Frayling, Kenneth R. Wood:
Measuring the Complexity of a Collection of Documents. ECIR 2006: 107-118 - [c5]Vishwa Vinay, Ingemar J. Cox, Natasa Milic-Frayling, Kenneth R. Wood:
On ranking the effectiveness of searches. SIGIR 2006: 398-404 - 2005
- [c4]Vishwa Vinay, Ingemar J. Cox, Natasa Milic-Frayling, Kenneth R. Wood:
Evaluating Relevance Feedback Algorithms for Searching on Small Displays. ECIR 2005: 185-199 - [c3]Vishwa Vinay, Ingemar J. Cox, Kenneth R. Wood, Natasa Milic-Frayling:
A comparison of dimensionality reduction techniques for text retrieval. ICMLA 2005 - [c2]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: 1052-1053 - 2004
- [c1]Vishwa Vinay, Ingemar J. Cox, Natasa Milic-Frayling, Kenneth R. Wood:
Evaluating Relevance Feedback and Display Strategies for Searching on Small Displays. SPIRE 2004: 131-133
Coauthor Index
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last updated on 2024-08-05 20:21 CEST by the dblp team
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