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Tanmoy Mukherjee

NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks
2022 · Fawaz Sammani, Tanmoy Mukherjee, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 58
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Learning Unsupervised Word Translations Without Adversaries
2018 · Tanmoy Mukherjee, Makoto Yamada, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 34
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Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition
2016 · Tanmoy Mukherjee, Timothy Hospedales · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 34
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Semi-supervised medical image classification via distance correlation minimization and graph attention regularization
2024 · Abel Díaz Berenguer, Maryna Kvasnytsia, et al. · Medical Image Analysis · 18
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Summarizing Answers for Community Question Answer Services
2013 · Vinay Pande, Tanmoy Mukherjee, et al. · Lecture notes in computer science · 14
Deep Matching Autoencoders
2017 · Mukherjee, Tanmoy, Yamada, Makoto, et al. · arXiv (Cornell University) · 12
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The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data
2024 · Luuk H. Boulogne, Julian Lorenz, et al. · Medical Image Analysis · 6
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Generalization Error Bounds for Deep Unfolding RNNs
2021 · Boris Joukovsky, Tanmoy Mukherjee, et al. · VUBIR (Vrije Universiteit Brussel) · 5
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Representation Learning with Information Theory for COVID-19 Detection
2022 · Berenguer, Abel Díaz, Mukherjee, Tanmoy, et al. · arXiv (Cornell University) · 3
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Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT
2025 · Ine Dirks, Matías Nicolás Bossa, et al. · BMC Medical Informatics and Decision Making · 1
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Representation Learning with Information Theory to Detect COVID-19 and Its Severity
2023 · Abel Díaz Berenguer, Tanmoy Mukherjee, et al. · Lecture notes in computer science · 1
Credal Concept Bottleneck Models for Epistemic–Aleatoric Uncertainty Decomposition
2026 · Association for Computational Linguistics 2026, Bailleux, Thomas, et al. · Underline Science Inc.
Explanation Quality Assessment as Ranking with Listwise Rewards
2026 · Association for Computational Linguistics 2026, Bailleux, Thomas, et al. · Underline Science Inc.
Explanation Quality Assessment as Ranking with Listwise Rewards
2026 · Bailleux, Thomas, Mukherjee, Tanmoy, et al. · arXiv (Cornell University)
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Credal Concept Bottleneck Models for Epistemic-Aleatoric Uncertainty Decomposition
2026 · Mukherjee, Tanmoy, Bailleux, Thomas, et al. · arXiv (Cornell University)
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Structurally Separated Uncertainty in Supervised Latent Variable Models
2026 · Mukherjee, Tanmoy, Kloft, Marius, et al. · arXiv (Cornell University)
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Explanation Quality Assessment as Ranking with Listwise Rewards
2026 · Thomas Bailleux, Tanmoy Mukherjee, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Credal Concept Bottleneck Models for Epistemic–Aleatoric Uncertainty Decomposition
2026 · Tanmoy Mukherjee, Thomas Bailleux, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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MODE: Multi-Objective Adaptive Coreset Selection
2025 · Mukherjee, Tanmoy, Marquis, Pierre, et al. · arXiv (Cornell University)
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Connecting Concept Layers and Rationales to Enhance Language Model Interpretability
2025 · Thomas Bailleux, Tanmoy Mukherjee, et al. · Joint Conference on Lexical and Computational Semantics
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Novel Class Discovery: A Dependency Approach
2022 · Tanmoy Mukherjee, Nikos Deligiannis · IEEE International Conference on Acoustics Speech and Signal Processing
Extracting New Facts and Relations in Knowledge Bases using Matrix Tri-Factorization.
2019 · Tanmoy Mukherjee, Vinay Pande, et al. · National University of Singapore
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
2016 · Tanmoy Mukherjee, Timothy Hospedales · The Association for Computational Linguistics
Domain Specific Facts Extraction Using Weakly Supervised Active Learning Approach
2013 · Vinay Pande, Tanmoy Mukherjee, et al. · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
Pairwise Tensor Factorization for learning new facts in Knowledge Bases
2013 · Tanmoy Mukherjee, Vinay Pande, et al.
Works count: 26
Citation count: 186
H-index: 6
I10-index: 6
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