Shravan Chaudhari

According to our database, Shravan Chaudhari authored at least 11 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FLAME: Adaptive Mixture-of-Experts for Continual Multimodal Multi-Task Learning.

Xing Han, Shravan Chaudhari, Tanvi Ranade, Rama Chellappa, Suchi Saria

CoRR, May, 2026

Shared LoRA Subspaces for almost Strict Continual Learning.

Prakhar Kaushik, Ankit Vaidya, Shravan Chaudhari, Rama Chellappa, Alan L. Yuille

CoRR, February, 2026

Open-Set Domain Adaptation Under Background Distribution Shift: Challenges and A Provably Efficient Solution.

Shravan Chaudhari, Yoav Wald, Suchi Saria

Trans. Mach. Learn. Res., 2026

2025

SpIDER: Spatially Informed Dense Embedding Retrieval for Software Issue Localization.

Shravan Chaudhari, Rahul Thomas Jacob, Mononito Goswami, Jiajun Cao, Muhammad Shihab Rashid, Christian Bock

CoRR, December, 2025

The Universal Weight Subspace Hypothesis.

Prakhar Kaushik, Shravan Chaudhari, Ankit Vaidya, Rama Chellappa, Alan L. Yuille

CoRR, December, 2025

Multimodal LLM Augmented Reasoning for Interpretable Visual Perception Analysis.

Shravan Chaudhari, Trilokya Akula, Yoon Kim, Tom Blake

CoRR, April, 2025

Between Linear and Sinusoidal: Rethinking the Time Encoder in Dynamic Graph Learning.

Hsing-Huan Chung, Shravan Chaudhari, Xing Han, Yoav Wald, Suchi Saria, Joydeep Ghosh

Trans. Mach. Learn. Res., 2025

EigenLoRAx: Recycling Adapters to Find Principal Subspaces for Resource-Efficient Adaptation and Inference.

Prakhar Kaushik, Ankit Vaidya, Shravan Chaudhari, Alan L. Yuille

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Novel Node Category Detection Under Subpopulation Shift.

Hsing-Huan Chung, Shravan Chaudhari, Yoav Wald, Xing Han, Joydeep Ghosh

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification.

Pranav Singh, Raviteja Chukkapalli, Shravan Chaudhari, Luoyao Chen, Mei Chen, Jinqian Pan, Craig Smuda, Jacopo Cirrone

CoRR, 2023

Enhancing Medical Image Segmentation: Optimizing Cross-Entropy Weights and Post-Processing with Autoencoders.

Pranav Singh, Luoyao Chen, Mei Chen, Jinqian Pan, Raviteja Chukkapalli, Shravan Chaudhari, Jacopo Cirrone

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023