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Author

Subhajit Chaudhury

Observed names: Chaudhury, Subhajit, S Chaudhury, Subhajit CHAUDHURY
Institution: IBM (United States)
Observed institutions: NEC (Japan), Northeastern University, IBM (United States), Indian Institute of Technology Bombay, Princeton University, IBM Research - Thomas J. Watson Research Center, IBM Research - Tokyo, The University of Tokyo
ORCID: 0000-0003-3435-2584
Observed ORCID: 0000-0003-3435-2584
OpenAlex ID: A5000750466
Adversarial Discriminative Attention for Robust Anomaly Detection
2020 · Daiki Kimura, Subhajit Chaudhury, et al. · IEEE Winter Conference on Applications of Computer Vision · 45
Robustness of Adaptive Neural Network Optimization Under Training Noise
2021 · Subhajit Chaudhury, Toshihiko Yamasaki · IEEE Access · 28
Focusing on What is Relevant: Time-Series Learning and Understanding using Attention
2018 · Phongtharin Vinayavekhin, Subhajit Chaudhury, et al. · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 26
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Neuro-Symbolic Reinforcement Learning with First-Order Logic
2021 · Daiki Kimura, Masaki Ono, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 25
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Can fully convolutional networks perform well for general image restoration problems?
2017 · Subhajit Chaudhury, Hiya Roy · Machine Vision Applications · 25
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X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization
2022 · Subhajit Chaudhury, Sarathkrishna Swaminathan, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 14
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Transfer learning from synthetic to real images using variational autoencoders for robotic applications
2017 · Inoue, Tadanobu, Chaudhury, Subhajit, et al. · arXiv (Cornell University) · 14
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Neuro-Symbolic Approaches for Text-Based Policy Learning
2021 · Subhajit Chaudhury, Prithviraj Sen, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 12
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Internal Model from Observations for Reward Shaping
2018 · Kimura, Daiki, Chaudhury, Subhajit, et al. · arXiv (Cornell University) · 12
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Spatial-Temporal Motion Field Analysis for Pixelwise Crack Detection on Concrete Surfaces
2017 · Subhajit Chaudhury, Gaku Nakano, et al. · IEEE Winter Conference on Applications of Computer Vision · 11
Adversarial Training Time Attack Against Discriminative and Generative Convolutional Models
2021 · Subhajit Chaudhury, Hiya Roy, et al. · IEEE Access · 10
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Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games
2020 · Subhajit Chaudhury, Daiki Kimura, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 10
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Lunar surface image restoration using U-Net based deep neural networks
2019 · H Roy, S Chaudhury, et al. · arXiv (Cornell University) · 10
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Reinforcement Learning with External Knowledge by using Logical Neural Networks
2021 · Kimura, Daiki, Chaudhury, Subhajit, et al. · arXiv (Cornell University) · 8
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Volume preserving haptic pottery
2014 · Subhajit Chaudhury, Subhasis Chaudhuri · IEEE Haptics Symposium · 8
LOA: Logical Optimal Actions for Text-based Interaction Games
2021 · Daiki Kimura, Subhajit Chaudhury, et al. · Annual Meeting of the Association for Computational Linguistics: System Demonstrations (ACL Demo) · 7
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Assessing Robustness of Deep learning Methods in Dermatological Workflow
2020 · Mishra, Sourav, Chaudhury, Subhajit, et al. · arXiv (Cornell University) · 7
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Needle in the Haystack for Memory Based Large Language Models
2024 · Nelson, Elliot, Kollias, Georgios, et al. · arXiv (Cornell University) · 6
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API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs
2024 · Kinjal Basu, Ibrahim Abdelaziz, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 6
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On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $\epsilon$-Greedy Exploration
2023 · Shuai Zhang, Hongkang Li, et al. · neural information processing systems · 6
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Text to image generative model using constrained embedding space mapping
2017 · Subhajit Chaudhury, Sakyasingha Dasgupta, et al. · Machine learning for signal processing ... · 6
Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations
2024 · Achintalwar, Swapnaja, Garcia, Adriana Alvarado, et al. · arXiv (Cornell University) · 5
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Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos
2019 · Subhajit Chaudhury, Daiki Kimura, et al. · IEEE International Symposium on Multimedia (ISM) · 5
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Conditional generation of multi-modal data using constrained embedding space mapping
2017 · Chaudhury, Subhajit, Dasgupta, Sakyasingha, et al. · arXiv (Cornell University) · 5
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Granite Guardian: Comprehensive LLM Safeguarding
2025 · Inkit Padhi, Manish Nagireddy, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 4
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Works count: 96
Citation count: 379
H-index: 10
I10-index: 13
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