ilteralp

332

AutomaticWeightedLoss

Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

awesome-deep-learning-papers

The most cited deep learning papers

awesome-source-free-test-time-adaptation

[2022] A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation

ClimaX

Foundation model for weather & climate

DL_with_APs

lake_regression

legendary-pancake

remote_sensing_with_gcn

remoteSensing

ilteralp/332

ilteralp/AutomaticWeightedLoss

Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

ilteralp/awesome-deep-learning-papers

The most cited deep learning papers

ilteralp/awesome-source-free-test-time-adaptation

[2022] A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation

ilteralp/ClimaX

Foundation model for weather & climate

ilteralp/DL_with_APs

ilteralp/lake_regression

ilteralp/legendary-pancake

ilteralp/LIP

Code and pretrained models for LIP: Local Importance-based Pooling (ICCV 19)

ilteralp/remote_sensing_with_gcn

ilteralp/remoteSensing

ilteralp/MbLS

Code of our method MbLS (Margin-based Label Smoothing) for network calibration. To Appear at CVPR 2022. Paper : https://arxiv.org/abs/2111.15430

ilteralp/metric-learn

Metric learning algorithms in Python

ilteralp/pytorch-mdn

Mixture Density Networks for PyTorch

ilteralp/robustbench

RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]

ilteralp/RSNA2019_Intracranial-Hemorrhage-Detection

Code for 1st Place Solution in Intracranial Hemorrhage Detection Challenge @ RSNA2019