google / bi-tempered-lossLinks
Robust Bi-Tempered Logistic Loss Based on Bregman Divergences. https://arxiv.org/pdf/1906.03361.pdf
☆148Updated 3 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:
- Keras/TF implementation of AdamW, SGDW, NadamW, Warm Restarts, and Learning Rate multipliers☆167Updated 3 years ago
- A TensorFlow re-implementation of Momentum Contrast (MoCo): https://arxiv.org/abs/1911.05722☆160Updated last year
- Implementations of ideas from recent papers☆393Updated 4 years ago
- A pytorch dataset sampler for always sampling balanced batches.☆115Updated 4 years ago
- pytorch implement of Lookahead Optimizer☆190Updated 2 years ago
- Smooth Loss Functions for Deep Top-k Classification☆254Updated 3 years ago
- Implementation and experiments for AdamW on Pytorch☆94Updated 5 years ago
- A simpler version of the self-attention layer from SAGAN, and some image classification results.☆212Updated 5 years ago
- A memory efficient implementation of densenet.☆82Updated 5 years ago
- Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019☆265Updated 5 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆186Updated 6 years ago
- Implementation for the Lookahead Optimizer.☆240Updated 3 years ago
- Using the CLR algorithm for training (https://arxiv.org/abs/1506.01186)☆108Updated 7 years ago
- An implementation of shampoo☆74Updated 7 years ago
- Mish Deep Learning Activation Function for PyTorch / FastAI☆161Updated 5 years ago
- lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch☆336Updated 5 years ago
- Data Reading Blocks for Python☆105Updated 4 years ago
- Complementary code for the Targeted Dropout paper☆255Updated 5 years ago
- Semi-supervised ImageNet1K models☆243Updated 5 years ago
- Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem [CVPR 2019, oral]☆184Updated 5 years ago
- A New Optimization Technique for Deep Neural Networks☆538Updated 3 years ago
- Over9000 optimizer☆426Updated 2 years ago
- High-level batteries-included neural network training library for Pytorch☆402Updated 3 years ago
- Accelerate training by storing parameters in one contiguous chunk of memory.☆291Updated 4 years ago
- Utilities for Pytorch☆89Updated 2 years ago
- PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆62Updated 10 months ago
- Simple Tensorflow implementation of "On The Variance Of The Adaptive Learning Rate And Beyond"☆97Updated 5 years ago
- Implements the unsupervised pre-training of convolutional neural networks☆251Updated 3 years ago
- Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"☆170Updated 3 years ago
- Decoupled Weight Decay Regularization (ICLR 2019)☆275Updated 6 years ago