Rohan Pandey

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Differential Diagnosis

Natural Language

Top Venues

Publications

Rohan Pandey
gzip Predicts Data-dependent Scaling Laws. CoRR (2024)
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)
Rohan Pandey
Syntax-guided Neural Module Distillation to Probe Compositionality in Sentence Embeddings. EACL (2023)
Vedant Palit, Rohan Pandey, Aryaman Arora, Paul Pu Liang
Towards Vision-Language Mechanistic Interpretability: A Causal Tracing Tool for BLIP. CoRR (2023)
Vedant Palit, Rohan Pandey, Aryaman Arora, Paul Pu Liang
Towards Vision-Language Mechanistic Interpretability: A Causal Tracing Tool for BLIP. ICCV (Workshops) (2023)
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)
Rohan Pandey
Syntax-guided Neural Module Distillation to Probe Compositionality in Sentence Embeddings. CoRR (2023)
Rohan Pandey
Semantic Composition in Visually Grounded Language Models. CoRR (2023)
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 (2023)
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 (2023)
Rohan Pandey, Rulin Shao, Paul Pu Liang, Ruslan Salakhutdinov, Louis-Philippe Morency
Cross-modal Attention Congruence Regularization for Vision-Language Relation Alignment. CoRR (2022)
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) (2021)
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 (2021)
Rohan Pandey, Vaibhav Gautam, Kanav Bhagat, Tavpritesh Sethi
A Machine Learning Application for Raising WASH Awareness in the Times of Covid-19 Pandemic. CoRR (2020)
Asmit Kumar Singh, Paras Mehan, Divyanshu Sharma, Rohan Pandey, Tavpritesh Sethi, Ponnurangam Kumaraguru
(Un)Masked COVID-19 Trends from Social Media. CoRR (2020)
Ridam Pal, Rohan Pandey, Vaibhav Gautam, Kanav Bhagat, Tavpritesh Sethi
A Cross-lingual Natural Language Processing Framework for Infodemic Management. CoRR (2020)
Rohan Gorantla, Rajeev Kumar Singh, Rohan Pandey, Mayank Jain
Cervical Cancer Diagnosis using CervixNet - A Deep Learning Approach. BIBE (2019)