Samyak Jain

Orcid: 0000-0003-3785-4782

According to our database1, Samyak Jain authored at least 26 papers between 2019 and 2024.

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

Timeline

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Links

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Bibliography

2024
Bonsai: Gradient-free Graph Distillation for Node Classification.
CoRR, 2024

What Makes and Breaks Safety Fine-tuning? A Mechanistic Study.
CoRR, 2024

Human identification using AI.
Mechatron. Syst. Control., 2024

Beyond Words: A Topological Exploration of Coherence in Text Documents.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Uncovering Bias: Exploring Gender Dynamics in Distance-Aware Mixup Techniques.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Towards Understanding and Improving Adversarial Robustness of Vision Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Saliency-Aware Interpolative Augmentation for Multimodal Financial Prediction.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Stronger and Transferable Node Injection Attacks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Knowledge Graph Representations to enhance Intensive Care Time-Series Predictions.
CoRR, 2023

Analyzing Cryptocurrency trends using Tweet Sentiment Data and User Meta-Data.
CoRR, 2023

Live Bidding Application: Predicting Shill Bidding Using Machine Learning.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2023

DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Efficient and Effective Augmentation Strategy for Adversarial Training.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Scaling Adversarial Training to Large Perturbation Bounds.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency Prediction.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

System Design of Ground Based Sounder for Nowcasting.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Fruit Maturity Recognition from Agricultural, Market and Automation Perspectives.
Proceedings of the IECON 2021, 2021

Boosting Adversarial Robustness Using Feature Level Stochastic Smoothing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
AViNet: Diving Deep into Audio-Visual Saliency Prediction.
CoRR, 2020

Exploiting Temporal Attention Features for Effective Denoising in Videos.
CoRR, 2020

Price Optimization in Fashion E-commerce.
CoRR, 2020

Towards Multimodal MIR: Predicting individual differences from music-induced movement.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Tidying Deep Saliency Prediction Architectures.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Ligand based virtual screening using SVM on GPU.
Comput. Biol. Chem., 2019

Augmentation of Images through DCGANs.
Proceedings of the 2019 Twelfth International Conference on Contemporary Computing, 2019


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