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Robustness preserving fine-tuning using neuron importance
Guangrui Li, Rahul Duggal, Aaditya Singh, Kaustav Kundu, Bing Shuai, Jonathan Wu
ECCV 2024
paper
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Benchmarking Low-Shot Robustness to Natural Distribution Shifts
Aaditya Singh*, Kartik Sarangmath*, Prithvijit Chattopadhyay, Judy Hoffman
ICCV 2023
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code |
poster
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Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency
Viraj Prabhu*, Sriram Yenamandra*, Aaditya Singh, Judy Hoffman
NeurIPS 2022
paper |
code
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SAFIN: Arbitrary Style Transfer with Self-Attentive Factorized Instance Normalization
Aaditya Singh*, Shreeshail Hingane*, Xinyu Gong, Zhangyang Wang
IEEE ICME 2021
paper |
code
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An End-to-End Network for Emotion-Cause Pair Extraction
Aaditya Singh*, Shreeshail Hingane*, Saim Wani*, Ashutosh Modi
EACL WASSA 2021 (oral)
paper |
code
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Indian Insitute of Technology Kanpur 2016-2020 |
Samsung R&D Institute Spring 2019 |
IBM Research Summer 2020 - Summer 2021 |
Georgia Tech Fall 2021 - Spring 2023 |
AWS AI Labs Summer 2023 - present |
Jul 2024 |
Paper on Robust fine-tuning accepted at ECCV 2024. |
Jul 2023 |
Paper on Low-Shot Robustness accepted at ICCV 2023. |
May 2023 |
Joined AWS AI Labs as a Research Engineer in the Rekognition team. |
May 2023 |
Graduated with a Master's thesis in Computer Science from Georgia Tech. |
Aug 2022 |
Paper on Self-Supervised Domain Adaptation accepted at NeurIPS 2022. |
May 2022 |
Joined Amazon Web Services AI as a Research Engineer Intern. |
Aug 2021 |
Joined Georgia Tech Master's in Computer Science program. |
Mar 2021 |
Paper on Semantically Aware Style Transfer accepted at ICME 2021. |
Feb 2021 |
Paper on Emotion Cause Pair Extraction accepted at WASSA 2021 as oral presentation. |
Aug 2020 |
Joined IBM Research as a Software Engineer. |
May 2018 |
Joined Samsung R&D Institute as a Summer Intern. |
Sept 2017 |
Received Academic Excellence Award for meritorious performance at IIT Kanpur. |
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