Hierarchical Classification System for Breast Cancer Specimen Report (HCSBC) -- an end-to-end model for characterizing severity and diagnosis

no code implementations • 2 Nov 2023 • Thiago Santos, Harish Kamath, Christopher R. McAdams, Mary S. Newell, Marina Mosunjac, Gabriela Oprea-Ilies, Geoffrey Smith, Constance Lehman, Judy Gichoya, Imon Banerjee, Hari Trivedi

Automated classification of cancer pathology reports can extract information from unstructured reports and categorize each report into structured diagnosis and severity categories.

Direct Inversion: Optimization-Free Text-Driven Real Image Editing with Diffusion Models

no code implementations • 15 Nov 2022 • Adham Elarabawy, Harish Kamath, Samuel Denton

With the rise of large, publicly-available text-to-image diffusion models, text-guided real image editing has garnered much research attention recently.

Model-Advantage and Value-Aware Models for Model-Based Reinforcement Learning: Bridging the Gap in Theory and Practice

1 code implementation • 26 Jun 2021 • Nirbhay Modhe, Harish Kamath, Dhruv Batra, Ashwin Kalyan

This work shows that value-aware model learning, known for its numerous theoretical benefits, is also practically viable for solving challenging continuous control tasks in prevalent model-based reinforcement learning algorithms.

Continuous Control Model-based Reinforcement Learning