A repository for federated domain generalization.
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Updated
Feb 28, 2025 - Python
A repository for federated domain generalization.
Code for the control+shift paper, where a method for generating general datasets with a controllable amount of distribution shift was proposed. Presented at the ECCV'24 "Synthetic Data for Computer Vision" workshop.
Official implementation of the TMLR paper: An Analysis of Model Robustness across Concurrent Distribution Shifts.
All Centers Are at most a Few Tokens Apart: Knowledge Distillation with Domain Invariant Prompt Tuning
project to enable neural network feature space modeling using probabilistic and geometric models (KDE, Diffusion Maps, Convex Hulls, etc) and to run domain generalization hypothesis testing (more options to come) - meant to encapsulate most of the evaluation code used in my thesis in a clean, modular structure
code for "Learning Generalizable Part-based Feature Representation for 3D Point Clouds" (NeurIPS 2022)
An unofficial implementation of Frustratingly Simple Domain Generalization via Image Stylization
Data loader and solution method for the DCASE 2024 Challenge Task1
The code for magnification generalization for the histopathology image embedding
code for "Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning" (AAAI 2023, Oral))
Domain-shift Aware Meta-Learning for Domain Generalization in SER
Work done during the Data Science course internship.
[WACV 2024] Source code for "Consolidating separate degradations model via weights fusion and distillation".
Code for TMM-HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization
Feature-aligned N-BEATS with Sinkhorn divergence (ICLR 2024)
Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Framework for Disease Detection from Chest X-rays
PARDON: Privacy-Aware and Robust Federated Domain Generalization (ICDCS 2025)
The code for the paper "Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study"
This repository contains the code for the paper Modularity Trumps Invariance for Compositonal Robustness.
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