Surgan Jandial

According to our database, Surgan Jandial authored at least 21 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LEAST: "Local" text-conditioned image style transfer.

Silky Singh, Surgan Jandial, Simra Shahid, Abhinav Java

CoRR, 2024

Introducing v0.5 of the AI Safety Benchmark from MLCommons.

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

CoRR, 2024

"Thinking" Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models.

Shaz Furniturewala, Surgan Jandial, Abhinav Java, Pragyan Banerjee, Simra Shahid, Sumit Bhatia, Kokil Jaidka

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Active Transferability Estimation.

Tarun Ram Menta, Surgan Jandial, Akash Patil, Saketh Bachu, Vimal K. B., Balaji Krishnamurthy, Vineeth N. Balasubramanian, Mausoom Sarkar, Chirag Agarwal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Evaluating the Efficacy of Prompting Techniques for Debiasing Language Model Outputs (Student Abstract).

Shaz Furniturewala, Surgan Jandial, Abhinav Java, Simra Shahid, Pragyan Banerjee, Balaji Krishnamurthy, Sumit Bhatia, Kokil Jaidka

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

All Should Be Equal in the Eyes of LMs: Counterfactually Aware Fair Text Generation.

Pragyan Banerjee, Abhinav Java, Surgan Jandial, Simra Shahid, Shaz Furniturewala, Balaji Krishnamurthy, Sumit Bhatia

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

All Should Be Equal in the Eyes of Language Models: Counterfactually Aware Fair Text Generation.

Pragyan Banerjee, Abhinav Java, Surgan Jandial, Simra Shahid, Shaz Furniturewala, Balaji Krishnamurthy, Sumit Bhatia

CoRR, 2023

Towards Estimating Transferability using Hard Subsets.

Tarun Ram Menta, Surgan Jandial, Akash Patil, Vimal KB, Saketh Bachu, Balaji Krishnamurthy, Vineeth N. Balasubramanian, Chirag Agarwal, Mausoom Sarkar

CoRR, 2023

One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text.

Abhinav Java, Shripad V. Deshmukh, Milan Aggarwal, Surgan Jandial, Mausoom Sarkar, Balaji Krishnamurthy

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Gatha: Relational Loss for enhancing text-based style transfer.

Surgan Jandial, Shripad V. Deshmukh, Abhinav Java, Simra Shahid, Balaji Krishnamurthy

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RetroKD : Leveraging Past States for Regularizing Targets in Teacher-Student Learning.

Surgan Jandial, Yash Khasbage, Arghya Pal, Balaji Krishnamurthy, Vineeth N. Balasubramanian

Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

2022

On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models.

Vedant Singh, Surgan Jandial, Ayush Chopra, Siddharth Ramesh, Balaji Krishnamurthy, Vineeth N. Balasubramanian

CoRR, 2022

SAC: Semantic Attention Composition for Text-Conditioned Image Retrieval.

Surgan Jandial, Pinkesh Badjatiya, Pranit Chawla, Ayush Chopra, Mausoom Sarkar, Balaji Krishnamurthy

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Distilling the Undistillable: Learning from a Nasty Teacher.

Surgan Jandial, Yash Khasbage, Arghya Pal, Vineeth N. Balasubramanian, Balaji Krishnamurthy

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Leveraging Style and Content Features for Text Conditioned Image Retrieval.

Pranit Chawla, Surgan Jandial, Pinkesh Badjatiya, Ayush Chopra, Mausoom Sarkar, Balaji Krishnamurthy

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

TRACE: Transform Aggregate and Compose Visiolinguistic Representations for Image Search with Text Feedback.

Surgan Jandial, Ayush Chopra, Pinkesh Badjatiya, Pranit Chawla, Mausoom Sarkar, Balaji Krishnamurthy

CoRR, 2020

SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On.

Surgan Jandial, Ayush Chopra, Kumar Ayush, Mayur Hemani, Abhijeet Kumar, Balaji Krishnamurthy

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks.

Surgan Jandial, Ayush Chopra, Mausoom Sarkar, Piyush Gupta, Balaji Krishnamurthy, Vineeth Balasubramanian

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

AdvGAN++: Harnessing Latent Layers for Adversary Generation.

Surgan Jandial, Puneet Mangla, Sakshi Varshney, Vineeth Balasubramanian

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Powering Virtual Try-On via Auxiliary Human Segmentation Learning.

Kumar Ayush, Surgan Jandial, Ayush Chopra, Balaji Krishnamurthy

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Robust Cloth Warping via Multi-Scale Patch Adversarial Loss for Virtual Try-On Framework.

Kumar Ayush, Surgan Jandial, Ayush Chopra, Mayur Hemani, Balaji Krishnamurthy

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019