git-disl / EnsembleBench
A holistic framework for promoting high diversity ensemble learning.
☆14Updated 4 months ago
Alternatives and similar repositories for EnsembleBench:
Users that are interested in EnsembleBench are comparing it to the libraries listed below
- A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models☆27Updated 2 years ago
- ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust☆13Updated 4 years ago
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆22Updated 3 years ago
- PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)☆17Updated last year
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆11Updated 3 years ago
- ☆18Updated 3 years ago
- Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression☆17Updated 3 years ago
- Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…☆41Updated 4 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- ZSKD with PyTorch☆30Updated last year
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Updated last year
- Active and Sample-Efficient Model Evaluation☆24Updated 3 years ago
- Experiments on meta-learning algorithms to solve few-shot domain adaptation☆10Updated 3 years ago
- Anonymized code for Igeood: An Information Geometry Approach to Out-of-Distribution Detection☆12Updated 2 years ago
- Official PyTorch implementation of “Flexible Dataset Distillation: Learn Labels Instead of Images”☆41Updated 4 years ago
- PRIME: A Few Primitives Can Boost Robustness to Common Corruptions☆42Updated 2 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆29Updated last year
- Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.☆29Updated 4 years ago
- Federated posterior averaging implemented in JAX☆51Updated last year
- A learning rate recommending and benchmarking tool.☆19Updated last year
- Official Repo for "Efficient task-specific data valuation for nearest neighbor algorithms"☆26Updated 4 years ago
- implements various optimizers from scratch for analysis and comparison☆9Updated 4 years ago
- PyTorch implementation of the paper The Lottery Ticket Hypothesis for Object Recognition☆21Updated 3 years ago
- ☆17Updated 2 years ago
- The code repository for ICML24 paper "Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images"☆14Updated 6 months ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 3 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- [ICML 2022] "Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness" by Tianlong Chen*, Huan Zhang*, Zhenyu Zhang, Shiyu…☆16Updated 2 years ago
- Contains notebooks for the PAR tutorial at CVPR 2021.☆36Updated 3 years ago
- ☆29Updated 3 years ago