Samyak Jain

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 31

Top Topics

Individual Differences

Graph Representations

Machine Learning

Top Venues

Tiny Papers @ ICLR

Mechatron. Syst. Control.

Publications

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 (2024)
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)
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)
Samyak Jain, Parth Chhabra, Ramit Sawhney
Uncovering Bias: Exploring Gender Dynamics in Distance-Aware Mixup Techniques. Tiny Papers @ ICLR (2024)
Purushottam Sharma, Aazar Imran Khan, Samyak Jain
Human identification using AI. Mechatron. Syst. Control. 52 (2) (2024)
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)
Samyak Jain, Tanima Dutta
Stronger and Transferable Node Injection Attacks. AAAI (2024)
Samyak Jain, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova
Knowledge Graph Representations to enhance Intensive Care Time-Series Predictions. CoRR (2023)
Samyak Jain, Sravanti Addepalli, Pawan Sahu, Priyam Dey, R. Venkatesh Babu
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks. CoRR (2023)
Chetan Mudlapur, Samyak Jain, Shruti Mittal, Pravar Jain, Vikram Neerugatti
Live Bidding Application: Predicting Shill Bidding Using Machine Learning. MIWAI (2023)
Samyak Jain, Sarthak Johari, Radhakrishnan Delhibabu
Analyzing Cryptocurrency trends using Tweet Sentiment Data and User Meta-Data. CoRR (2023)
Samyak Jain, Sravanti Addepalli, Pawan Kumar Sahu, Priyam Dey, R. Venkatesh Babu
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks. CVPR (2023)
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 (2023)
Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
Boosting Adversarial Robustness using Feature Level Stochastic Smoothing. CoRR (2023)
Sravanti Addepalli, Samyak Jain, R. Venkatesh Babu
Efficient and Effective Augmentation Strategy for Adversarial Training. CoRR (2022)
Sravanti Addepalli, Samyak Jain, Venkatesh Babu R.
Efficient and Effective Augmentation Strategy for Adversarial Training. NeurIPS (2022)
Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
Scaling Adversarial Training to Large Perturbation Bounds. CoRR (2022)
Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
Scaling Adversarial Training to Large Perturbation Bounds. ECCV (5) (2022)
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)
Koteswar Rao Jerripothula, Sarvesh Kumar Shukla, Samyak Jain, Shudhanshu Singh
Fruit Maturity Recognition from Agricultural, Market and Automation Perspectives. IECON (2021)
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)
Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
Boosting Adversarial Robustness Using Feature Level Stochastic Smoothing. CVPR Workshops (2021)
Sajan Kedia, Samyak Jain, Abhishek Sharma
Price Optimization in Fashion E-commerce. CoRR (2020)
Yudhik Agrawal, Samyak Jain, Emily Carlson, Petri Toiviainen, Vinoo Alluri
Towards Multimodal MIR: Predicting individual differences from music-induced movement. CoRR (2020)
Yudhik Agrawal, Samyak Jain, Emily Carlson, Petri Toiviainen, Vinoo Alluri
Towards Multimodal MIR: Predicting individual differences from music-induced movement. ISMIR (2020)
Aryansh Omray, Samyak Jain, Utsav Krishnan, Pratik Chattopadhyay
Exploiting Temporal Attention Features for Effective Denoising in Videos. CoRR (2020)
Navyasri Reddy, Samyak Jain, Pradeep Yarlagadda, Vineet Gandhi
Tidying Deep Saliency Prediction Architectures. CoRR (2020)
Samyak Jain, Pradeep Yarlagadda, Ramanathan Subramanian, Vineet Gandhi
AViNet: Diving Deep into Audio-Visual Saliency Prediction. CoRR (2020)
Navyasri Reddy, Samyak Jain, Pradeep Yarlagadda, Vineet Gandhi
Tidying Deep Saliency Prediction Architectures. IROS (2020)
P. B. Jayaraj, Samyak Jain
Ligand based virtual screening using SVM on GPU. Comput. Biol. Chem. 83 (2019)
Himanshu Arora, Samyak Jain, Sanket Anand, Dharmveer Singh Rajpoot
Augmentation of Images through DCGANs. IC3 (2019)