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ORCIDRohan Pandey
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2020 – today
- 2024
[c5]Paul Pu Liang, Chun Kai Ling, Yun Cheng, Alexander Obolenskiy, Yudong Liu, Rohan Pandey, Alex Wilf, Louis-Philippe Morency, Russ Salakhutdinov:
Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications. ICLR 2024- [i11]Rohan Pandey:
gzip Predicts Data-dependent Scaling Laws. CoRR abs/2405.16684 (2024) - 2023
- [c4]Rohan Pandey, Rulin Shao, Paul Pu Liang, Ruslan Salakhutdinov, Louis-Philippe Morency:
Cross-modal Attention Congruence Regularization for Vision-Language Relation Alignment. ACL (1) 2023: 5444-5455 - [c3]Rohan Pandey:
Syntax-guided Neural Module Distillation to Probe Compositionality in Sentence Embeddings. EACL 2023: 3135-3141 - [c2]Vedant Palit, Rohan Pandey, Aryaman Arora, Paul Pu Liang:
Towards Vision-Language Mechanistic Interpretability: A Causal Tracing Tool for BLIP. ICCV (Workshops) 2023: 2848-2853 - [i10]Rohan Pandey:
Syntax-guided Neural Module Distillation to Probe Compositionality in Sentence Embeddings. CoRR abs/2301.08998 (2023) - [i9]Rohan Pandey:
Semantic Composition in Visually Grounded Language Models. CoRR abs/2305.16328 (2023) - [i8]Paul Pu Liang, Chun Kai Ling, Yun Cheng, Alex Obolenskiy, Yudong Liu, Rohan Pandey, Alex Wilf, Louis-Philippe Morency, Ruslan Salakhutdinov:
Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications. CoRR abs/2306.04539 (2023) - [i7]Omkar Patil, Lena Reed, Kevin K. Bowden, Juraj Juraska, Wen Cui, Vrindavan Harrison, Rishi Rajasekaran, Angela Ramirez, Cecilia Li, Eduardo Zamora, Phillip Lee, Jeshwanth Bheemanpally, Rohan Pandey, Adwait Ratnaparkhi, Marilyn A. Walker:
Athena 2.0: Discourse and User Modeling in Open Domain Dialogue. CoRR abs/2308.01887 (2023) - [i6]Vedant Palit, Rohan Pandey, Aryaman Arora, Paul Pu Liang:
Towards Vision-Language Mechanistic Interpretability: A Causal Tracing Tool for BLIP. CoRR abs/2308.14179 (2023) - 2022
- [i5]Rohan Pandey, Rulin Shao, Paul Pu Liang, Ruslan Salakhutdinov, Louis-Philippe Morency:
Cross-modal Attention Congruence Regularization for Vision-Language Relation Alignment. CoRR abs/2212.10549 (2022) - 2021
- [j1]Rajeev Kumar Singh
, Rohan Pandey, Rishie Nandhan Babu:
COVIDScreen: explainable deep learning framework for differential diagnosis of COVID-19 using chest X-rays. Neural Comput. Appl. 33(14): 8871-8892 (2021) - [i4]Juraj Juraska, Kevin K. Bowden, Lena Reed, Vrindavan Harrison, Wen Cui, Omkar Patil, Rishi Rajasekaran, Angela Ramirez, Cecilia Li, Eduardo Zamora, Phillip Lee, Jeshwanth Bheemanpally, Rohan Pandey, Adwait Ratnaparkhi, Marilyn A. Walker:
Athena 2.0: Contextualized Dialogue Management for an Alexa Prize SocialBot. CoRR abs/2111.02519 (2021) - 2020
- [i3]Rohan Pandey, Vaibhav Gautam, Kanav Bhagat, Tavpritesh Sethi:
A Machine Learning Application for Raising WASH Awareness in the Times of Covid-19 Pandemic. CoRR abs/2003.07074 (2020) - [i2]Ridam Pal, Rohan Pandey, Vaibhav Gautam, Kanav Bhagat, Tavpritesh Sethi:
A Cross-lingual Natural Language Processing Framework for Infodemic Management. CoRR abs/2010.16357 (2020) - [i1]Asmit Kumar Singh, Paras Mehan, Divyanshu Sharma, Rohan Pandey, Tavpritesh Sethi, Ponnurangam Kumaraguru:
(Un)Masked COVID-19 Trends from Social Media. CoRR abs/2011.00052 (2020)
2010 – 2019
- 2019
- [c1]Rohan Gorantla, Rajeev Kumar Singh, Rohan Pandey, Mayank Jain:
Cervical Cancer Diagnosis using CervixNet - A Deep Learning Approach. BIBE 2019: 397-404
Coauthor Index
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