Robust Bi-Tempered Logistic Loss Based on Bregman Divergences. https://arxiv.org/pdf/1906.03361.pdf
☆147Dec 22, 2021Updated 4 years ago
Alternatives and similar repositories for bi-tempered-loss
Users that are interested in bi-tempered-loss are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Robust Bi-Tempered Logistic Loss Based on Bregman Divergences☆61Sep 1, 2019Updated 6 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Apr 19, 2016Updated 9 years ago
- Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'☆339Mar 26, 2021Updated 4 years ago
- TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)☆16Jun 7, 2017Updated 8 years ago
- CNN ensemble for prostate cancer Gleason grading☆19Jan 28, 2026Updated last month
- ☆17Jul 28, 2021Updated 4 years ago
- ☆11Feb 2, 2021Updated 5 years ago
- ☆34Nov 30, 2018Updated 7 years ago
- model uncertainty using mc dropout☆20Mar 1, 2019Updated 7 years ago
- diffGrad: An Optimization Method for Convolutional Neural Networks☆55Oct 12, 2022Updated 3 years ago
- Fractional Max Pooling implementation in Theano☆21Sep 27, 2015Updated 10 years ago
- A good example of deformable convolutional network for mnist classification☆21Oct 15, 2019Updated 6 years ago
- Caffe fork that supports SPP_net or faster R-CNN☆10Sep 29, 2016Updated 9 years ago
- Contrast between ShuffleNet V2 and MnasNet.(Non-official implement In PyTorch)☆12Oct 25, 2018Updated 7 years ago
- ☆12Oct 8, 2020Updated 5 years ago
- ☆12Dec 2, 2020Updated 5 years ago
- Cross Sentence Neural Machine Translation☆11Mar 26, 2018Updated 7 years ago
- Matlab/Octave toolbox for Rolling Guidance Filter.☆10Nov 29, 2015Updated 10 years ago
- Codebase accompanying the paper 'Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts', (Emelin, D…☆11Feb 14, 2023Updated 3 years ago
- AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels☆23Jun 9, 2021Updated 4 years ago
- Official Pytorch Implementation for the paper 'SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients'☆17Jan 12, 2022Updated 4 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Feb 3, 2020Updated 6 years ago
- Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112☆191Dec 27, 2020Updated 5 years ago
- Inference on non-linear dynamical systems written in JAX☆11Aug 20, 2020Updated 5 years ago
- Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features☆12Mar 2, 2021Updated 5 years ago
- Forecasting Macroeconomic Parameters with Deep Learning Neural Networks - Final Year Peoject☆13Jun 11, 2018Updated 7 years ago
- A duplicate-free variant of the CIFAR test set.☆14Jan 27, 2021Updated 5 years ago
- Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"☆13Aug 16, 2021Updated 4 years ago
- ☆12Mar 16, 2022Updated 3 years ago
- Unsupervised Learning by Predicting Noise☆90Oct 12, 2021Updated 4 years ago
- A JAX implementation of stochastic addition.☆14Aug 15, 2022Updated 3 years ago
- A tqdm multi-thread helper☆11Aug 12, 2019Updated 6 years ago
- ☆153May 25, 2020Updated 5 years ago
- Learning with Noisy Labels by adopting a peer prediction loss function.☆35Mar 3, 2020Updated 6 years ago
- A basic ensemble method for object detection. Given bounding boxes from multiple object detectors, output a single cohesive set of boundi…☆160Nov 4, 2018Updated 7 years ago
- Domain Agnostic Normalization layer for Unsupervised Domain Adaptation☆11Dec 8, 2022Updated 3 years ago
- Keras (TensorFlow v2) reimplementation of Re-parameterized Large Kernel Network (RepLKNet)☆17Dec 8, 2022Updated 3 years ago
- A presentation on Augmented CycleGAN and the papers that lead up to it☆11Dec 3, 2018Updated 7 years ago
- Kaggle Humpback whale identification: 2xGPU Data augmentation + FP16 mixed precision training☆14Apr 8, 2019Updated 6 years ago