(WACV'24) Kaizen: Practical self-supervised continual learning with continual fine-tuning
☆16Oct 29, 2024Updated last year
Alternatives and similar repositories for kaizen
Users that are interested in kaizen are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Enhancing Efficiency in Multidevice Federated Learning through Data Selection☆13Apr 15, 2024Updated 2 years ago
- (KDD’24) Using Self-Supervised Learning Can Improve Model Fairness.☆11Jun 5, 2024Updated last year
- (WSDM'24) Cross-modal Self-Supervised Learning for Time-series through Latent Masking☆21Feb 20, 2024Updated 2 years ago
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆125Sep 25, 2022Updated 3 years ago
- Early exit ensembles☆12Dec 4, 2021Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆10May 16, 2025Updated 11 months ago
- Contrastive Learning (SimCLR) for Human Activity Recognition☆79Apr 6, 2021Updated 5 years ago
- Source code for the paper "Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning" from WACV 2024☆12Mar 25, 2024Updated 2 years ago
- This is the PyTorch Implementation of "AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation (CVPR '24)" by Taeckyung Lee, Sorn …☆14May 21, 2025Updated 11 months ago
- (ICLR'25) PaPaGei: Open Foundation Models for Optical Physiological Signals☆157Jul 8, 2025Updated 9 months ago
- Code for "Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning" (EMNLP 2022) and "Empowering Parameter-Efficient Transfer Learning…☆11Feb 6, 2023Updated 3 years ago
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆24Nov 8, 2025Updated 5 months ago
- Code for the paper "No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations"☆12Oct 31, 2024Updated last year
- [CVPR2024] Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation☆19Sep 3, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Active Learning for Continual Learning: Keeping the Past Alive in the Present☆22Oct 22, 2025Updated 6 months ago
- Code of ICLR 2025 paper "DynaPrompt: Dynamic Test-Time Prompt Tuning"☆22Jan 29, 2025Updated last year
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …☆22Mar 22, 2024Updated 2 years ago
- Official implementation of the paper "Masked Autoencoders are Efficient Class Incremental Learners"☆44Jun 4, 2024Updated last year
- Official Pytorch implementation of 'Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning'? (ICLR2024)☆13Mar 8, 2024Updated 2 years ago
- [ICLR 2021: Spotlight] Source code for the paper "A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Infer…☆14Feb 16, 2022Updated 4 years ago
- The official PyTorch Implementation of MetaSense (MetaSense: Few-Shot Adaptation to Untrained Conditions in Deep Mobile Sensing, ACM SenS…☆17Oct 12, 2022Updated 3 years ago
- The code implementation of the <Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning> in The Co…☆14May 25, 2023Updated 2 years ago
- Cross Visual Prompt Tuning [ICCV 2025]☆13Aug 3, 2025Updated 9 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Learnable drift compensation (LDC) reduces semantic drift in continual learning using a trainable projector to map between tasks.☆19Nov 13, 2024Updated last year
- Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019☆13Apr 25, 2019Updated 7 years ago
- Official PyTorch implementation for Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Pri…☆19Apr 30, 2024Updated 2 years ago
- This project attacked widely-used EEG spellers, e.g., P300 spellers and SSVEP spellers, with adversarial perturbation templates. We cons…☆14Jul 14, 2020Updated 5 years ago
- An implementation of the paper 'Using Deep Networks for Scientific Discovery in Physiological Signals'☆12Aug 24, 2020Updated 5 years ago
- Unified Pre-training for Motion Time Series☆38Dec 8, 2024Updated last year
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆61May 9, 2023Updated 2 years ago
- Stanford Cars dataset by classes folder☆19Nov 7, 2024Updated last year
- Code for "Adversarial Distillation of Bayesian Neural Network Posteriors" https://arxiv.org/abs/1806.10317☆16Oct 31, 2018Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆21Dec 23, 2024Updated last year
- This is the official PyTorch implementation of ASAG (ICCV 2023).☆18Sep 9, 2023Updated 2 years ago
- ☆12Oct 11, 2024Updated last year
- ☆35Feb 14, 2026Updated 2 months ago
- Unofficial implementation of STAN paper published at ISBI 2020 by researchers from University of Idaho using Tensorflow Keras 2.0.☆12Jun 8, 2020Updated 5 years ago
- [IEEE TMI 2024] Prototype-Guided Graph Reasoning Network for Few-Shot Medical Image Segmentation☆12Jun 13, 2025Updated 10 months ago
- ☆13Jan 9, 2018Updated 8 years ago