Samyak Jain

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Sravanti AddepalliPhD Student, Indian Institute of Science, BangaloreVerified email at iisc.ac.in
R. Venkatesh BabuCDS, Indian Institute of Science, Bangalore, IndiaVerified email at iisc.ac.in
Gaurang SriramananPhD Student, University of Maryland, College ParkVerified email at umd.edu
Hidenori TanakaGroup Leader, NTT Research at Harvard UniversityVerified email at fas.harvard.edu
David Scott KruegerUniversity Assistant Professor, University of CambridgeVerified email at cam.ac.uk
Robert KirkPhD Student, University College LondonVerified email at ucl.ac.uk
Ekdeep Singh LubanaUniversity of MichiganVerified email at umich.edu
Tim RocktäschelProfessor of Artificial Intelligence at UCL, Open-Endedness Team Lead at Google DeepMindVerified email at cs.ucl.ac.uk
Edward GrefenstetteDirector of Research, Google DeepMind | Honorary Professor, UCLVerified email at google.com
Priyam DeyPhD Student, Indian Institute of Science, BangaloreVerified email at iisc.ac.in
Pratik ChattopadhyayAssistant Professor at Indian Institute of Technology (Banaras Hindu University), VaranasiVerified email at iitbhu.ac.in

Samyak Jain

Undergrad at Indian Institute of Technology(BHU),Varanasi

Verified email at itbhu.ac.in - Homepage

Machine Learning Computer Vision Natural Language Processing


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Efficient and effective augmentation strategy for adversarial training S Addepalli, S Jain Advances in Neural Information Processing Systems 35, 1488-1501, 2022	35	2022
Scaling adversarial training to large perturbation bounds S Addepalli, S Jain, G Sriramanan, R Venkatesh Babu European Conference on Computer Vision, 301-316, 2022	34*	2022
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks S Jain, R Kirk, ES Lubana, RP Dick, H Tanaka, E Grefenstette, ... arXiv preprint arXiv:2311.12786, 2023	14	2023
Dart: Diversify-aggregate-repeat training improves generalization of neural networks S Jain, S Addepalli, PK Sahu, P Dey, RV Babu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	10	2023
Boosting adversarial robustness using feature level stochastic smoothing S Addepalli, S Jain, G Sriramanan, RV Babu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	9	2021
How does fine-tuning affect your model? Mechanistic analysis on procedural tasks S Jain, R Kirk, ES Lubana, RP Dick, H Tanaka, T Rocktäschel, ... R0-FoMo: Robustness of Few-shot and Zero-shot Learning in Large Foundation …, 2023		2023
Supplementary: DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks S Jain, S Addepalli, PK Sahu, P Dey, RV Babu
Supplementary Material: Towards Achieving Adversarial Robustness Beyond Perceptual Limits S Addepalli, S Jain, G Sriramanan, S Khare, RV Babu
Supplementary Material: Scaling Adversarial Training to Large Perturbation Bounds S Addepalli, S Jain, G Sriramanan, RV Babu
Supplementary Material: Boosting Adversarial Robustness using Feature Level Stochastic Smoothing S Addepalli, S Jain, G Sriramanan, RV Babu

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