ml4ai / fed-recon
Federated reconnaissance mini-ImageNet benchmark and baseline models
☆13Updated 3 years ago
Alternatives and similar repositories for fed-recon
Users that are interested in fed-recon are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)☆17Updated last year
- Code release for Deep Incubation (https://arxiv.org/abs/2212.04129)☆90Updated 2 years ago
- [NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation☆44Updated last year
- AFEC: Active Forgetting of Negative Transfer in Continual Learning (NeurIPS 2021)☆26Updated last year
- Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.☆32Updated last year
- ☆35Updated 3 years ago
- Host CIFAR-10.2 Data Set☆13Updated 3 years ago
- CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One (ECCV 2022)☆18Updated last year
- [ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, S…☆25Updated 3 years ago
- This repositorie es the code of the paper Optimizing Reusable Knowledge for Continual Learning via Metalearning.☆11Updated 3 years ago
- [ICML 2023] "Data Efficient Neural Scaling Law via Model Reusing" by Peihao Wang, Rameswar Panda, Zhangyang Wang☆14Updated last year
- ☆26Updated 3 years ago
- SparCL: Sparse Continual Learning on the Edge @ NeurIPS 22☆29Updated last year
- ICLR2023 statistics☆60Updated last year
- The official PyTorch code for ICLR'22 Paper "Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Lea…☆49Updated last year
- Incorporating Neuro-Inspired Adaptability for Continual Learning in Artificial Intelligence☆21Updated last year
- Preprint: Asymmetry in Low-Rank Adapters of Foundation Models☆36Updated last year
- Repository of "Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning" (NeurIPS 2023 Spotlight)☆37Updated last year
- Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]☆54Updated 5 months ago
- ☆12Updated last year
- Code release of paper "ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning" (NeurIPS 2023)☆15Updated last year
- Development kit for the CLVISION @ CVPR 2023 Challenge☆18Updated last year
- [NeurIPS 2023] Bootstrapping Vision-Language Learning with Decoupled Language Pre-training☆24Updated last year
- ☆44Updated 2 years ago
- [NeurIPS2023] Official code of "Understanding Contrastive Learning via Distributionally Robust Optimization"☆40Updated last year
- [AAAI2023] Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA Task (Oral)☆39Updated last year
- [ACL 2023] Code for paper “Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation”(https://arxiv.org/abs/2305.…☆38Updated last year
- Model Zoos for Continual Learning (ICLR 22)☆45Updated last year
- Repo to reproduce results for Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning☆25Updated 2 years ago
- Official repository for Do Pre-trained Models Benefit Equally in Continual Learning? (Accepted to WACV'23)☆25Updated 6 months ago