[KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective without adversarial or source data.
☆26Feb 23, 2023Updated 3 years ago
Alternatives and similar repositories for FADE
Users that are interested in FADE are comparing it to the libraries listed below
Sorting:
- ☆10May 12, 2023Updated 2 years ago
- ☆30Jun 3, 2022Updated 3 years ago
- This is the official repository for the ICLR 2023 paper Causal Balancing for Domain Generalization☆13May 17, 2023Updated 2 years ago
- This repository is an official Tensorflow 2 implementation of Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint…☆82Apr 25, 2022Updated 3 years ago
- ☆20Feb 25, 2024Updated 2 years ago
- FedCMR: Federated Cross-Modal Retrieval 的代码(the official implementation of FedCMR: Federated Cross-Modal Retrieval)☆17Oct 17, 2025Updated 4 months ago
- Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowl…☆119Aug 30, 2022Updated 3 years ago
- [MICCAI'21] Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning☆17Mar 23, 2022Updated 3 years ago
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆25Sep 28, 2024Updated last year
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆47Apr 12, 2023Updated 2 years ago
- Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"☆50Sep 6, 2022Updated 3 years ago
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆24Nov 8, 2025Updated 3 months ago
- ☆187Feb 7, 2026Updated 2 weeks ago
- Codebase for decoding compressed trust.☆25May 7, 2024Updated last year
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆24May 18, 2022Updated 3 years ago
- Resource Efficient Federated Learning☆25Jan 13, 2023Updated 3 years ago
- LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI's ChatGPT Plugins☆29Jul 29, 2024Updated last year
- ☆14Mar 5, 2025Updated 11 months ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆175May 26, 2022Updated 3 years ago
- FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.☆31May 10, 2024Updated last year
- CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View☆115Dec 29, 2024Updated last year
- Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022☆32Jul 11, 2022Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆161Jun 3, 2021Updated 4 years ago
- The implementation of the SHOT-VAE model in paper "SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations"☆34Dec 1, 2022Updated 3 years ago
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆40Jan 13, 2024Updated 2 years ago
- A Data-Driven Approach to Predict the Success of Bank Telemarketing☆10Apr 27, 2021Updated 4 years ago
- [AAAI 2022] Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification☆32Nov 25, 2024Updated last year
- Code for our EMNLP 2022 paper: Generative Entity Typing with Curriculum Learning.☆13Aug 19, 2023Updated 2 years ago
- Repository implementing the lightweight split learning framework enabling edge devices to collaboratively train machine learning models w…☆10Mar 27, 2024Updated last year
- Federated Meta-Learning for Emotion and Sentiment Aware Multi-modal Complaint Identification☆10May 30, 2024Updated last year
- PyTorch Implementation of the paper "Defining and Quantifying the Emergence of Sparse Concepts in DNNs" (CVPR 2023)☆12Dec 24, 2023Updated 2 years ago
- A collection of demos and utilities prepared ahead of the Vector Institute Privacy Enhancing Techniques (PETs) Bootcamp.☆15Sep 22, 2022Updated 3 years ago
- Open-source framework for science presentations and talks, generating interactive HTML from simple Python based interface.☆13Jul 21, 2025Updated 7 months ago
- Using Biological Signals for Mass Recalibration of Mass Spectrometry Imaging Data☆11Dec 10, 2021Updated 4 years ago
- Guide to interviewing for industry machine learning roles (data/applied/research scientist, ML engineer, etc).☆11Dec 28, 2022Updated 3 years ago
- ☆10Jul 16, 2023Updated 2 years ago
- code for progressive gsl☆12Jan 15, 2026Updated last month
- Implementation for the paper "Unified Multimodal Model with Unlikelihood Training for Visual Dialog"☆13May 12, 2023Updated 2 years ago
- DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences, Neuron Visualisations, and Visual Counterfactu…☆10Oct 9, 2024Updated last year