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Surgan Jandial
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2020 – today
- 2024
- [c15]Pragyan Banerjee, Abhinav Java, Surgan Jandial, Simra Shahid, Shaz Furniturewala, Balaji Krishnamurthy, Sumit Bhatia:
All Should Be Equal in the Eyes of LMs: Counterfactually Aware Fair Text Generation. AAAI 2024: 17673-17681 - [c14]Shaz Furniturewala, Surgan Jandial, Abhinav Java, Simra Shahid, Pragyan Banerjee, Balaji Krishnamurthy, Sumit Bhatia, Kokil Jaidka:
Evaluating the Efficacy of Prompting Techniques for Debiasing Language Model Outputs (Student Abstract). AAAI 2024: 23492-23493 - [c13]Tarun Ram Menta, Surgan Jandial, Akash Patil, Saketh Bachu, Vimal K. B., Balaji Krishnamurthy, Vineeth N. Balasubramanian, Mausoom Sarkar, Chirag Agarwal:
Active Transferability Estimation. CVPR Workshops 2024: 2659-2670 - [c12]Shaz Furniturewala, Surgan Jandial, Abhinav Java, Pragyan Banerjee, Simra Shahid, Sumit Bhatia, Kokil Jaidka:
"Thinking" Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models. EMNLP 2024: 213-227 - [i12]Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren:
Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR abs/2404.12241 (2024) - [i11]Shaz Furniturewala, Surgan Jandial, Abhinav Java, Pragyan Banerjee, Simra Shahid, Sumit Bhatia, Kokil Jaidka:
Thinking Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models. CoRR abs/2405.10431 (2024) - [i10]Silky Singh, Surgan Jandial, Simra Shahid, Abhinav Java:
LEAST: "Local" text-conditioned image style transfer. CoRR abs/2405.16330 (2024) - 2023
- [c11]Surgan Jandial, Yash Khasbage, Arghya Pal, Balaji Krishnamurthy, Vineeth N. Balasubramanian:
RetroKD : Leveraging Past States for Regularizing Targets in Teacher-Student Learning. COMAD/CODS 2023: 10-18 - [c10]Surgan Jandial, Shripad V. Deshmukh, Abhinav Java, Simra Shahid, Balaji Krishnamurthy:
Gatha: Relational Loss for enhancing text-based style transfer. CVPR Workshops 2023: 3546-3551 - [c9]Abhinav Java, Shripad V. Deshmukh, Milan Aggarwal, Surgan Jandial, Mausoom Sarkar, Balaji Krishnamurthy:
One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text. WACV 2023: 5426-5435 - [i9]Tarun Ram Menta, Surgan Jandial, Akash Patil, Vimal KB, Saketh Bachu, Balaji Krishnamurthy, Vineeth N. Balasubramanian, Chirag Agarwal, Mausoom Sarkar:
Towards Estimating Transferability using Hard Subsets. CoRR abs/2301.06928 (2023) - [i8]Pragyan Banerjee, Abhinav Java, Surgan Jandial, Simra Shahid, Shaz Furniturewala, Balaji Krishnamurthy, Sumit Bhatia:
All Should Be Equal in the Eyes of Language Models: Counterfactually Aware Fair Text Generation. CoRR abs/2311.05451 (2023) - 2022
- [c8]Surgan Jandial, Yash Khasbage, Arghya Pal, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
Distilling the Undistillable: Learning from a Nasty Teacher. ECCV (13) 2022: 587-603 - [c7]Surgan Jandial, Pinkesh Badjatiya, Pranit Chawla, Ayush Chopra, Mausoom Sarkar, Balaji Krishnamurthy:
SAC: Semantic Attention Composition for Text-Conditioned Image Retrieval. WACV 2022: 597-606 - [i7]Vedant Singh, Surgan Jandial, Ayush Chopra, Siddharth Ramesh, Balaji Krishnamurthy, Vineeth N. Balasubramanian:
On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models. CoRR abs/2205.03859 (2022) - [i6]Abhinav Java, Shripad V. Deshmukh, Milan Aggarwal, Surgan Jandial, Mausoom Sarkar, Balaji Krishnamurthy:
One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text. CoRR abs/2209.06584 (2022) - [i5]Surgan Jandial, Yash Khasbage, Arghya Pal, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
Distilling the Undistillable: Learning from a Nasty Teacher. CoRR abs/2210.11728 (2022) - 2021
- [c6]Pranit Chawla, Surgan Jandial, Pinkesh Badjatiya, Ayush Chopra, Mausoom Sarkar, Balaji Krishnamurthy:
Leveraging Style and Content Features for Text Conditioned Image Retrieval. CVPR Workshops 2021: 3978-3982 - 2020
- [c5]Surgan Jandial, Ayush Chopra, Mausoom Sarkar, Piyush Gupta, Balaji Krishnamurthy, Vineeth Balasubramanian:
Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks. KDD 2020: 1123-1131 - [c4]Surgan Jandial, Ayush Chopra, Kumar Ayush, Mayur Hemani, Abhijeet Kumar, Balaji Krishnamurthy:
SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On. WACV 2020: 2171-2179 - [i4]Surgan Jandial, Ayush Chopra, Kumar Ayush, Mayur Hemani, Abhijeet Kumar, Balaji Krishnamurthy:
SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On. CoRR abs/2001.06265 (2020) - [i3]Surgan Jandial, Ayush Chopra, Mausoom Sarkar, Piyush Gupta, Balaji Krishnamurthy, Vineeth Balasubramanian:
Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks. CoRR abs/2006.13593 (2020) - [i2]Surgan Jandial, Ayush Chopra, Pinkesh Badjatiya, Pranit Chawla, Mausoom Sarkar, Balaji Krishnamurthy:
TRACE: Transform Aggregate and Compose Visiolinguistic Representations for Image Search with Text Feedback. CoRR abs/2009.01485 (2020)
2010 – 2019
- 2019
- [c3]Kumar Ayush, Surgan Jandial, Ayush Chopra, Mayur Hemani, Balaji Krishnamurthy:
Robust Cloth Warping via Multi-Scale Patch Adversarial Loss for Virtual Try-On Framework. ICCV Workshops 2019: 1279-1281 - [c2]Surgan Jandial, Puneet Mangla, Sakshi Varshney, Vineeth Balasubramanian:
AdvGAN++: Harnessing Latent Layers for Adversary Generation. ICCV Workshops 2019: 2045-2048 - [c1]Kumar Ayush, Surgan Jandial, Ayush Chopra, Balaji Krishnamurthy:
Powering Virtual Try-On via Auxiliary Human Segmentation Learning. ICCV Workshops 2019: 3193-3196 - [i1]Puneet Mangla, Surgan Jandial, Sakshi Varshney, Vineeth N. Balasubramanian:
AdvGAN++ : Harnessing latent layers for adversary generation. CoRR abs/1908.00706 (2019)
Coauthor Index
aka: Vineeth Balasubramanian
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last updated on 2024-11-15 20:36 CET by the dblp team
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