git-disl / EnsembleBench
A holistic framework for promoting high diversity ensemble learning.
☆14Updated 8 months ago
Alternatives and similar repositories for EnsembleBench
Users that are interested in EnsembleBench are comparing it to the libraries listed below
Sorting:
- FedCV: An Industrial-grade Federated Learning Framework for Diverse Computer Vision Tasks☆66Updated 10 months ago
- This repository contains the jupyter notebooks for the custom-built DenseNet Model build on Tiny ImageNet dataset☆19Updated 4 years ago
- [ICLR 2022] "Sparsity Winning Twice: Better Robust Generalization from More Efficient Training" by Tianlong Chen*, Zhenyu Zhang*, Pengjun…☆39Updated 3 years ago
- Contains notebooks for the PAR tutorial at CVPR 2021.☆36Updated 3 years ago
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Updated 2 years ago
- Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.☆29Updated 4 years ago
- A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models☆28Updated 2 years ago
- Benchmarks for Macro Neural Architecture Search; used and described in the paper "Local Search is a Remarkably Strong Baseline for Neural…☆12Updated 9 months ago
- ☆14Updated 7 months ago
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆22Updated 3 years ago
- Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression☆18Updated 3 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆30Updated 2 years ago
- Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…☆41Updated 4 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆36Updated 2 years ago
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Updated 2 years ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆35Updated last year
- NAS + Cascades | Best Paper @ GECCO 2022☆16Updated last year
- ZSKD with PyTorch☆30Updated last year
- implements various optimizers from scratch for analysis and comparison☆9Updated 5 years ago
- Official Repo for "Efficient task-specific data valuation for nearest neighbor algorithms"☆26Updated 5 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- 'Robust Semantic Interpretability: Revisiting Concept Activation Vectors' Official Implementation☆11Updated 4 years ago
- Code for Active Mixup in 2020 CVPR☆22Updated 3 years ago
- Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning☆40Updated 4 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 4 years ago
- PyTorch implementation of the paper The Lottery Ticket Hypothesis for Object Recognition☆23Updated 4 years ago
- AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels☆23Updated 3 years ago
- Experiments on meta-learning algorithms to solve few-shot domain adaptation☆10Updated 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
- Recycling diverse models☆44Updated 2 years ago