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[TIP 2022] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.
Simple but high-performing method for learning a policy of test-time augmentation
Some example projects that was made using Tensorflow (mostly). This repository contains the projects that I've experimented-tried when I was new in Deep Learning.
Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods
The best solution of the Weather Prediction track in the Yandex Shifts challenge
[ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization
PyTorch implementation of Probabilistic MIMO U-Net
An Ensemble Deep Learning Model to Classify Scoliosis and Healthy Subjects Based on Non-invasive Rasterstereography Analysis
early detection method for parkinson's disease using deep ensemble learning on MRI dataset
Ransomware analysis using DEL with jet-like architecture comprising two CNN wings, a sparse AE tail, a non-linear PCA to produce a diverse feature space, and an MLP nose
resVAE-ensemble: feature identification in single-cell data
A pedagogical study and analysis of the results from "Deep Ensembles: A Loss Landscape Perspective".