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Conference and Workshop Papers
- 2023
[c10]Sayan Ghosh, Rakesh R. Menon, Shashank Srivastava:
LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning. ACL (Findings) 2023: 7403-7419- [c9]Rakesh R. Menon, Bingqing Wang, Jun Araki, Zhengyu Zhou, Zhe Feng, Liu Ren:
CoAug: Combining Augmentation of Labels and Labelling Rules. ACL (Findings) 2023: 9062-9071 - [c8]Yiyuan Li, Rakesh R. Menon, Sayan Ghosh, Shashank Srivastava:
Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models. EMNLP 2023: 573-591 - [c7]Mobashir Sadat, Zhengyu Zhou, Lukas Lange, Jun Araki, Arsalan Gundroo, Bingqing Wang, Rakesh R. Menon, Md. Rizwan Parvez, Zhe Feng:
DelucionQA: Detecting Hallucinations in Domain-specific Question Answering. EMNLP (Findings) 2023: 822-835 - [c6]Kangda Wei, Sayan Ghosh, Rakesh R. Menon, Shashank Srivastava:
Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers. EMNLP (Findings) 2023: 7068-7088 - [c5]Rakesh R. Menon, Kerem Zaman, Shashank Srivastava:
MaNtLE: Model-agnostic Natural Language Explainer. EMNLP 2023: 13493-13511 - 2022
- [c4]Rakesh R. Menon, Sayan Ghosh, Shashank Srivastava:
CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations. ACL (1) 2022: 6523-6546 - 2021
- [c3]Derek Tam, Rakesh R. Menon, Mohit Bansal, Shashank Srivastava, Colin Raffel:
Improving and Simplifying Pattern Exploiting Training. EMNLP (1) 2021: 4980-4991 - 2018
- [c2]Pia Bideau
, Aruni RoyChowdhury, Rakesh R. Menon, Erik G. Learned-Miller:
The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation. CVPR 2018: 508-517 - [c1]Pia Bideau, Rakesh R. Menon, Erik G. Learned-Miller:
MoA-Net: Self-supervised Motion Segmentation. ECCV Workshops (6) 2018: 715-730
Informal and Other Publications
- 2023
- [i8]Rakesh R. Menon, Kerem Zaman, Shashank Srivastava:
MaNtLE: Model-agnostic Natural Language Explainer. CoRR abs/2305.12995 (2023) - [i7]Yiyuan Li, Rakesh R. Menon, Sayan Ghosh, Shashank Srivastava:
Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models. CoRR abs/2311.04659 (2023) - [i6]Kangda Wei, Sayan Ghosh, Rakesh R. Menon, Shashank Srivastava:
Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers. CoRR abs/2311.07538 (2023) - [i5]Mobashir Sadat, Zhengyu Zhou, Lukas Lange, Jun Araki, Arsalan Gundroo, Bingqing Wang, Rakesh R. Menon, Md. Rizwan Parvez, Zhe Feng:
DelucionQA: Detecting Hallucinations in Domain-specific Question Answering. CoRR abs/2312.05200 (2023) - 2022
- [i4]Rakesh R. Menon, Sayan Ghosh, Shashank Srivastava:
CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations. CoRR abs/2204.07142 (2022) - [i3]Sayan Ghosh, Rakesh R. Menon, Shashank Srivastava:
LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning. CoRR abs/2212.09104 (2022) - 2021
- [i2]Derek Tam, Rakesh R. Menon, Mohit Bansal, Shashank Srivastava, Colin Raffel:
Improving and Simplifying Pattern Exploiting Training. CoRR abs/2103.11955 (2021) - 2017
- [i1]Rakesh R. Menon, Balaraman Ravindran:
Shared Learning : Enhancing Reinforcement in $Q$-Ensembles. CoRR abs/1709.04909 (2017)
Coauthor Index
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