Padigela, Harshith
- Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology
2022/06/03 by Syed Ashar Javed, Javed, Syed Ashar, Dinkar Juyal +9 · 4 citations
Computer Science · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
- ML-Dev-Bench: Comparative Analysis of AI Agents on ML development workflows
2025/02/03 by Harshith Padigela, Padigela, Harshith, Chintan Shah +3 · 8 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Multi-Agent Systems and Negotiation #Software Engineering (cs.SE)
- Learning biologically relevant features in a pathology foundation model using sparse autoencoders
2024/07/15 by Le, Nhat Minh, Shen, Ciyue, Patel, Neel +13 · 5 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
- PLUTO: Pathology-Universal Transformer
2024/05/13 by Dinkar Juyal, Juyal, Dinkar, Harshith Padigela +63 · 2 citations
Biochemistry, Genetics and Molecular Biology · Immunology and Microbiology · Medicine · #Cancer Genomics and Diagnostics #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Immunotoxicology and immune responses #Medical and Biological Sciences #electronic engineering #information engineering
- SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology
2023/03/23 by Juyal, Dinkar, Shingi, Siddhant, Javed, Syed Ashar +6 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)