Leebh-kor / Simple-code-Visualizing-the-Loss-Landscape-of-Neural-NetsLinks
Reimplmentation of Visualizing the Loss Landscape of Neural Nets with PyTorch 1.8
☆30Updated 2 years ago
Alternatives and similar repositories for Simple-code-Visualizing-the-Loss-Landscape-of-Neural-Nets
Users that are interested in Simple-code-Visualizing-the-Loss-Landscape-of-Neural-Nets are comparing it to the libraries listed below
Sorting:
- ☆27Updated 2 years ago
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Updated 2 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆53Updated 2 years ago
- ICLR 2023 - FedFA: Federated Feature Augmentation☆59Updated 2 years ago
- [TPAMI 2023] No One Left Behind: Real-World Federated Class-Incremental Learning☆30Updated last year
- [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation☆74Updated 3 years ago
- ☆68Updated 2 years ago
- An Numpy and PyTorch Implementation of CKA-similarity with CUDA support☆94Updated 4 years ago
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆32Updated 2 years ago
- Re-thinking Federated Active Learning based on Inter-class Diversity (CVPR 2023)☆32Updated 2 years ago
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆37Updated last year
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆61Updated 3 years ago
- Code for CVPR22 paper "Deep Unlearning via Randomized Conditionally Independent Hessians"☆25Updated 3 years ago
- Official implementation of "When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture" published at Neur…☆34Updated last year
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated 2 years ago
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆23Updated last year
- 【CVPR 2023】Learning Federated Visual Prompt in Null Space for MRI Reconstruction☆48Updated 2 years ago
- Data-Free Knowledge Distillation☆22Updated 3 years ago
- ☆23Updated 2 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 3 years ago
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆27Updated last year
- Memory-Economic Continual Test-Time Model Adaptation☆32Updated 2 years ago
- CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View☆110Updated 10 months ago
- Official implementation of the paper "Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay" (AAAI-2…☆18Updated 3 years ago
- ☆14Updated 2 years ago
- ☆18Updated 3 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆21Updated 3 years ago
- ☆87Updated 2 years ago
- ☆25Updated last year
- FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients☆32Updated 2 years ago