Surgan Jandial

Orcid: 0000-0002-6660-702X

According to our database1, Surgan Jandial authored at least 17 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Evaluating the Efficacy of Prompting Techniques for Debiasing Language Model Outputs (Student Abstract).
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.
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.
CoRR, 2023

Towards Estimating Transferability using Hard Subsets.
CoRR, 2023

One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Gatha: Relational Loss for enhancing text-based style transfer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RetroKD : Leveraging Past States for Regularizing Targets in Teacher-Student Learning.
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.
CoRR, 2022

SAC: Semantic Attention Composition for Text-Conditioned Image Retrieval.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Distilling the Undistillable: Learning from a Nasty Teacher.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Leveraging Style and Content Features for Text Conditioned Image Retrieval.
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.
CoRR, 2020

SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks.
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.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Powering Virtual Try-On via Auxiliary Human Segmentation Learning.
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.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019


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