[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

Dataset and code for "Uncertainty-Informed Deep Transfer Learning of PFAS Toxicity"

PyTorch implementation of Probabilistic MIMO U-Net

[ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization

An Ensemble Deep Learning Model to Classify Scoliosis and Healthy Subjects Based on Non-invasive Rasterstereography Analysis

Full-Reference Image Quality Assessment models based on ensemble of gradient boosting

early detection method for parkinson's disease using deep ensemble learning on MRI dataset

[ICML 2024] Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints

resVAE-ensemble: feature identification in single-cell data

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

A pedagogical study and analysis of the results from "Deep Ensembles: A Loss Landscape Perspective".