HSG-AIML / NeurIPS_2021-Weight_Space_LearningLinks
Code Repository for the NeurIPS 2021 paper: "Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction".
☆19Updated 11 months ago
Alternatives and similar repositories for NeurIPS_2021-Weight_Space_Learning
Users that are interested in NeurIPS_2021-Weight_Space_Learning are comparing it to the libraries listed below
Sorting:
- This repositorie es the code of the paper Optimizing Reusable Knowledge for Continual Learning via Metalearning.☆11Updated 3 years ago
- PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)☆17Updated last year
- ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping☆16Updated last year
- Model Zoos published at the NeurIPS 2022 Dataset & Benchmark track: "Model Zoos: A Dataset of Diverse Populations of Neural Network Model…☆55Updated last year
- This is the project for IRM methods☆12Updated 3 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 3 years ago
- Energy-Based Models for Continual Learning Official Repository (PyTorch)☆42Updated 2 years ago
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- ☆16Updated last year
- Code Repository for the NeurIPS 2022 paper: "Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights".☆16Updated 11 months ago
- Code for PCA-OGD (AISTATS 2021)☆11Updated 4 years ago
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 3 years ago
- NeurIPS22 "RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection" and T-PAMI Extension☆19Updated 4 months ago
- Codebase for the paper titled "Continual learning with local module selection"☆25Updated 3 years ago
- source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"☆26Updated last year
- Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"☆31Updated 11 months ago
- Training vision models with full-batch gradient descent and regularization☆37Updated 2 years ago
- Invariant-feature Subspace Recovery (ISR)☆23Updated 2 years ago
- ☆49Updated 2 years ago
- The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".☆13Updated 3 years ago
- This repository contains the implementation of Concept Activation Regions, a new framework to explain deep neural networks with human con…☆12Updated 2 years ago
- ☆38Updated 7 months ago
- This is the official implementation of the ICML 2023 paper - Can Forward Gradient Match Backpropagation ?☆12Updated 2 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 2 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Updated 2 years ago
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆89Updated last year
- Deep Learning & Information Bottleneck☆60Updated last year
- ☆58Updated 2 years ago
- ☆28Updated 3 years ago
- ☆16Updated 2 years ago