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ORCIDSaayan Mitra
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2020 – today
- 2024
[c39]Pooja Guhan, Uttaran Bhattacharya, Somdeb Sarkhel, Vahid Azizi, Xiang Chen, Saayan Mitra, Aniket Bera, Dinesh Manocha:
TAME-RD: Text Assisted Replication of Image Multi-Adjustments for Reverse Designing. ACL (Findings) 2024: 10710-10727- [c38]Shiv Shankar, Ritwik Sinha, Yash Chandak, Saayan Mitra, Madalina Fiterau:
A/B testing under Interference with Partial Network Information. AISTATS 2024: 19-27 - [c37]Supreeth Narasimhaswamy, Uttaran Bhattacharya, Xiang Chen, Ishita Dasgupta, Saayan Mitra, Minh Hoai:
HanDiffuser: Text-to-Image Generation with Realistic Hand Appearances. CVPR 2024: 2468-2479 - [c36]Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor S. Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang:
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search. ICLR 2024 - [i11]Supreeth Narasimhaswamy, Uttaran Bhattacharya
, Xiang Chen, Ishita Dasgupta, Saayan Mitra, Minh Hoai:
HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances. CoRR abs/2403.01693 (2024) - [i10]Shiv Shankar, Ritwik Sinha, Yash Chandak, Saayan Mitra, Madalina Fiterau:
A/B testing under Interference with Partial Network Information. CoRR abs/2404.10547 (2024) - 2023
- [c35]Shiv Shankar, Ritwik Sinha, Saayan Mitra, Moumita Sinha, Madalina Fiterau:
Direct Inference of Effect of Treatment (DIET) for a Cookieless World. AISTATS 2023: 1869-1887 - [c34]Lianke Qin, Saayan Mitra, Zhao Song, Yuanyuan Yang, Tianyi Zhou:
Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training. IEEE Big Data 2023: 128-133 - [c33]Gaurav Gupta, Anup B. Rao, Tung Mai, Ryan A. Rossi, Xiang Chen, Saayan Mitra, Anshumali Shrivastava:
Near Neighbor Search for Constraint Queries. IEEE Big Data 2023: 1707-1715 - [c32]Renzhi Wu, Saayan Mitra, Xiang Chen, Anup B. Rao:
Decentralized Personalized Online Federated Learning. IEEE Big Data 2023: 1873-1882 - [c31]Kunjal Panchal, Sunav Choudhary, Subrata Mitra, Koyel Mukherjee, Somdeb Sarkhel, Saayan Mitra, Hui Guan:
Flash: Concept Drift Adaptation in Federated Learning. ICML 2023: 26931-26962 - [c30]Akanksha Atrey, Ritwik Sinha, Saayan Mitra, Prashant J. Shenoy:
SODA: Protecting Proprietary Information in On-Device Machine Learning Models. SEC 2023: 121-132 - [c29]Akanksha Atrey, Ritwik Sinha, Saayan Mitra, Prashant J. Shenoy:
Protecting Proprietary Information in on-Device Machine Learning Models. HotMobile 2023: 138 - [c28]Shiv Shankar, Ritwik Sinha, Saayan Mitra, Viswanathan (Vishy) Swaminathan, Sridhar Mahadevan, Moumita Sinha:
Privacy Aware Experiments without Cookies. WSDM 2023: 1144-1147 - [i9]Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor S. Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang:
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search. CoRR abs/2310.13227 (2023) - [i8]Renzhi Wu, Saayan Mitra, Xiang Chen, Anup Rao:
Decentralized Personalized Online Federated Learning. CoRR abs/2311.04817 (2023) - [i7]Lianke Qin, Saayan Mitra, Zhao Song, Yuanyuan Yang, Tianyi Zhou:
Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training. CoRR abs/2311.11429 (2023) - [i6]Zhengmian Hu, Gang Wu, Saayan Mitra, Ruiyi Zhang, Tong Sun, Heng Huang, Vishy Swaminathan:
Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information. CoRR abs/2311.11509 (2023) - [i5]Akanksha Atrey, Ritwik Sinha, Saayan Mitra, Prashant J. Shenoy:
SODA: Protecting Proprietary Information in On-Device Machine Learning Models. CoRR abs/2312.15036 (2023) - 2022
- [c27]Aritra Ghosh, Saayan Mitra, Andrew S. Lan:
DiPS: Differentiable Policy for Sketching in Recommender Systems. AAAI 2022: 6703-6712 - [c26]Vahid Azizi, Saayan Mitra, Xiang Chen:
Collaborative Filtering Guided Deep Reinforcement Learning for Sequential Recommendations. IEEE Big Data 2022: 2175-2181 - [c25]Pooja Guhan, Saayan Mitra, Somdeb Sarkhel, Stefano Petrangeli, Ritwik Sinha, Viswanathan Swaminathan, Aniket Bera, Dinesh Manocha:
Contextualized Styling of Images for Web Interfaces using Reinforcement Learning. ISM 2022: 169-172 - [c24]Akanksha Atrey, Ritwik Sinha, Somdeb Sarkhel, Saayan Mitra, David Arbour, Akash Maharaj, Prashant J. Shenoy:
Towards Preserving Server-Side Privacy of On-Device Models. WWW (Companion Volume) 2022: 282-285 - [i4]Shiv Shankar, Ritwik Sinha, Saayan Mitra, Moumita Sinha, Viswanathan Swaminathan, Sridhar Mahadevan:
Privacy Aware Experiments without Cookies. CoRR abs/2211.03758 (2022) - 2021
- [c23]Trisha Mittal, Vishy Swaminathan, Somdeb Sarkhel, Ritwik Sinha, David Arbour, Saayan Mitra, Dinesh Manocha:
BOhance: Bayesian Optimization for Content Enhancement. ISM 2021: 17-24 - [c22]Swapneel Mehta, Somdeb Sarkhel, Xiang Chen, Saayan Mitra, Viswanathan Swaminathan, Ryan A. Rossi, Ali Aminian, Han Guo, Kshitiz Garg:
Open-Domain Trending Hashtag Recommendation for Videos. ISM 2021: 174-181 - [i3]Aritra Ghosh, Saayan Mitra, Andrew S. Lan:
DiPS: Differentiable Policy for Sketching in Recommender Systems. CoRR abs/2112.07616 (2021) - 2020
- [c21]Phanwadee Sinthong, Kanak Mahadik, Somdeb Sarkhel, Saayan Mitra:
Scaling Dnn-Based Video Analysis By Coarse-Grained And Fine-Grained Parallelism. ICME 2020: 1-6 - [c20]Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Viswanathan Swaminathan:
Optimal Bidding Strategy without Exploration in Real-time Bidding. SDM 2020: 298-306 - [c19]Xiang Chen, Saayan Mitra, Viswanathan Swaminathan:
Metadata Matters in User Engagement Prediction. SIGIR 2020: 1529-1532 - [i2]Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Jason Xie, Gang Wu, Viswanathan Swaminathan:
Scalable Bid Landscape Forecasting in Real-time Bidding. CoRR abs/2001.06587 (2020) - [i1]Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Viswanathan Swaminathan:
Optimal Bidding Strategy without Exploration in Real-time Bidding. CoRR abs/2004.00100 (2020)
2010 – 2019
- 2019
- [c18]Han Guo, Viswanathan Swaminathan, Saayan Mitra:
A Scalable Data Augmentation and Training Pipeline for Logo Detection. ISM 2019: 48-55 - [c17]Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Jason Xie, Gang Wu, Viswanathan Swaminathan:
Scalable Bid Landscape Forecasting in Real-Time Bidding. ECML/PKDD (3) 2019: 451-466 - [c16]Xueyu Mao, Saayan Mitra, Sheng Li:
Training Streaming Factorization Machines with Alternating Least Squares. SIGIR 2019: 1185-1188 - 2018
- [c15]Qi Lou, Somdeb Sarkhel, Saayan Mitra, Viswanathan Swaminathan:
Content-Based Effectiveness Prediction of Video Advertisements. ISM 2018: 69-72 - 2017
- [c14]Gang Wu, Viswanathan Swaminathan, Saayan Mitra, Ratnesh Kumar:
Digital content recommendation system using implicit feedback data. IEEE BigData 2017: 2766-2771 - [c13]Gang Wu, Viswanathan Swaminathan, Saayan Mitra, Ratnesh Kumar:
Context-aware video recommendation based on session progress prediction. ICME 2017: 1428-1433 - [c12]Xueyu Mao, Saayan Mitra, Viswanathan Swaminathan:
Feature Selection for FM-Based Context-Aware Recommendation Systems. ISM 2017: 252-255 - [c11]Shuo Yang, Somdeb Sarkhel, Saayan Mitra, Viswanathan Swaminathan:
Personalized Video Recommendations for Shared Accounts. ISM 2017: 256-259 - 2014
- [c10]Gang Wu, Viswanathan Swaminathan, Saayan Mitra, Ratnesh Kumar:
Online video session progress prediction using low-rank matrix completion. ICME Workshops 2014: 1-6 - [c9]Saayan Mitra, Viswanathan Swaminathan:
A reliable buffered approach for measuring usage of web video. TEMU 2014: 40-45 - 2013
- [c8]Viswanathan Swaminathan, Saayan Mitra, Sheng Wei:
Designing a universal format for encrypted media. MMSP 2013: 64-69 - 2012
- [c7]Viswanathan Swaminathan, Saayan Mitra:
A partial encryption scheme for AVC video. ESPA 2012: 1-4 - [c6]Saayan Mitra, Viswanathan Swaminathan:
An optimal client buffer model for multiplexing HTTP streams. MMSP 2012: 283-288
2000 – 2009
- 2009
- [c5]Alfred Taylor Sr., Les Miller, Sree Nilakanta, Jeffry D. Sander, Saayan Mitra, Anurag Sharda, Bachar Chama:
Using an Error Detection Strategy for Improving Web Accessibility for Older Adults. ACHI 2009: 375-380 - [c4]Saayan Mitra, Ratnesh Kumar, Samik Basu:
A Framework for Optimal Decentralized Service-Choreography. ICWS 2009: 493-500 - 2008
- [c3]Saayan Mitra, Ratnesh Kumar, Samik Basu:
Optimum Decentralized Choreography for Web Services Composition. IEEE SCC (2) 2008: 395-402 - 2007
- [c2]Saayan Mitra, Ratnesh Kumar, Samik Basu:
Automated Choreographer Synthesis for Web Services Composition Using I/O Automata. ICWS 2007: 364-371 - [c1]Saayan Mitra, Samik Basu, Ratnesh Kumar:
Local and On-the-fly Choreography-based Web Service Composition. Web Intelligence 2007: 521-527
Coauthor Index
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last updated on 2024-10-16 21:23 CEST by the dblp team
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