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ORCIDSamyak Jain
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2020 – today
- 2024
[j2]Purushottam Sharma, Aazar Imran Khan, Samyak Jain:
Human identification using AI. Mechatron. Syst. Control. 52(2): 65-75 (2024)- [c17]Samyak Jain, Tanima Dutta:
Stronger and Transferable Node Injection Attacks. AAAI 2024: 21179-21187 - [c16]Samyak Jain, Parth Chhabra, Atula Tejaswi Neerkaje, Puneet Mathur, Ramit Sawhney, Shivam Agarwal, Preslav Nakov, Sudheer Chava, Dinesh Manocha:
Saliency-Aware Interpolative Augmentation for Multimodal Financial Prediction. LREC/COLING 2024: 14285-14297 - [c15]Samyak Jain, Tanima Dutta:
Towards Understanding and Improving Adversarial Robustness of Vision Transformers. CVPR 2024: 24736-24745 - [c14]Samyak Jain, Parth Chhabra, Ramit Sawhney:
Uncovering Bias: Exploring Gender Dynamics in Distance-Aware Mixup Techniques. Tiny Papers @ ICLR 2024 - [c13]Samyak Jain, Robert Kirk, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Tim Rocktäschel, Edward Grefenstette, David Scott Krueger:
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks. ICLR 2024 - [c12]Samyak Jain, Rishi Singhal, Sriram Krishna, Yaman Kumar Singla, Rajiv Ratn Shah:
Beyond Words: A Topological Exploration of Coherence in Text Documents. Tiny Papers @ ICLR 2024 - [i13]Samyak Jain, Ekdeep Singh Lubana, Kemal Oksuz, Tom Joy, Philip H. S. Torr, Amartya Sanyal, Puneet K. Dokania:
What Makes and Breaks Safety Fine-tuning? A Mechanistic Study. CoRR abs/2407.10264 (2024) - 2023
- [c11]Samyak Jain, Sravanti Addepalli, Pawan Kumar Sahu, Priyam Dey, R. Venkatesh Babu:
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks. CVPR 2023: 16048-16059 - [c10]Chetan Mudlapur, Samyak Jain, Shruti Mittal, Pravar Jain, Vikram Neerugatti
:
Live Bidding Application: Predicting Shill Bidding Using Machine Learning. MIWAI 2023: 316-323 - [i12]Samyak Jain, Sravanti Addepalli, Pawan Kumar Sahu, Priyam Dey, R. Venkatesh Babu:
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks. CoRR abs/2302.14685 (2023) - [i11]Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu:
Boosting Adversarial Robustness using Feature Level Stochastic Smoothing. CoRR abs/2306.06462 (2023) - [i10]Samyak Jain, Sarthak Johari, Radhakrishnan Delhibabu:
Analyzing Cryptocurrency trends using Tweet Sentiment Data and User Meta-Data. CoRR abs/2307.15956 (2023) - [i9]Samyak Jain, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova:
Knowledge Graph Representations to enhance Intensive Care Time-Series Predictions. CoRR abs/2311.07180 (2023) - [i8]Samyak Jain, Robert Kirk, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Edward Grefenstette, Tim Rocktäschel, David Scott Krueger:
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks. CoRR abs/2311.12786 (2023) - 2022
- [c9]Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu:
Scaling Adversarial Training to Large Perturbation Bounds. ECCV (5) 2022: 301-316 - [c8]Sravanti Addepalli, Samyak Jain, Venkatesh Babu R.:
Efficient and Effective Augmentation Strategy for Adversarial Training. NeurIPS 2022 - [i7]Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu:
Scaling Adversarial Training to Large Perturbation Bounds. CoRR abs/2210.09852 (2022) - [i6]Sravanti Addepalli, Samyak Jain, R. Venkatesh Babu:
Efficient and Effective Augmentation Strategy for Adversarial Training. CoRR abs/2210.15318 (2022) - 2021
- [c7]Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu:
Boosting Adversarial Robustness Using Feature Level Stochastic Smoothing. CVPR Workshops 2021: 93-102 - [c6]Koteswar Rao Jerripothula, Sarvesh Kumar Shukla, Samyak Jain, Shudhanshu Singh:
Fruit Maturity Recognition from Agricultural, Market and Automation Perspectives. IECON 2021: 1-6 - [c5]Mahendra P. S. Bhadoria, Latheef A. Shaik, Anamiya Bhattacharya, Shrija Bhattacharyya, Ranajit Dey, Madhav Das, Satyendra Kushwaha, Ankit Sharma, Samyak Jain, Prantik Chakraborty, Rajeev Jyoti:
System Design of Ground Based Sounder for Nowcasting. IGARSS 2021: 7099-7102 - [c4]Samyak Jain, Pradeep Yarlagadda, Shreyank Jyoti, Shyamgopal Karthik, Ramanathan Subramanian, Vineet Gandhi:
ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency Prediction. IROS 2021: 3520-3527 - 2020
- [c3]Navyasri Reddy, Samyak Jain, Pradeep Yarlagadda, Vineet Gandhi:
Tidying Deep Saliency Prediction Architectures. IROS 2020: 10241-10247 - [c2]Yudhik Agrawal, Samyak Jain, Emily Carlson, Petri Toiviainen, Vinoo Alluri:
Towards Multimodal MIR: Predicting individual differences from music-induced movement. ISMIR 2020: 54-61 - [i5]Navyasri Reddy, Samyak Jain, Pradeep Yarlagadda, Vineet Gandhi:
Tidying Deep Saliency Prediction Architectures. CoRR abs/2003.04942 (2020) - [i4]Sajan Kedia, Samyak Jain, Abhishek Sharma:
Price Optimization in Fashion E-commerce. CoRR abs/2007.05216 (2020) - [i3]Yudhik Agrawal, Samyak Jain, Emily Carlson, Petri Toiviainen, Vinoo Alluri:
Towards Multimodal MIR: Predicting individual differences from music-induced movement. CoRR abs/2007.10695 (2020) - [i2]Aryansh Omray, Samyak Jain, Utsav Krishnan, Pratik Chattopadhyay:
Exploiting Temporal Attention Features for Effective Denoising in Videos. CoRR abs/2008.02344 (2020) - [i1]Samyak Jain, Pradeep Yarlagadda, Ramanathan Subramanian, Vineet Gandhi:
AViNet: Diving Deep into Audio-Visual Saliency Prediction. CoRR abs/2012.06170 (2020)
2010 – 2019
- 2019
- [j1]P. B. Jayaraj, Samyak Jain:
Ligand based virtual screening using SVM on GPU. Comput. Biol. Chem. 83 (2019) - [c1]Himanshu Arora, Samyak Jain, Sanket Anand, Dharmveer Singh Rajpoot:
Augmentation of Images through DCGANs. IC3 2019: 1-6
Coauthor Index
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last updated on 2024-10-07 22:15 CEST by the dblp team
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