AlexeyGB / batch-norm-helps-optimization
Reproduction of "How Does Batch Normalization Help Optimization?" paper
☆20Updated 6 years ago
Alternatives and similar repositories for batch-norm-helps-optimization:
Users that are interested in batch-norm-helps-optimization are comparing it to the libraries listed below
- Code for ViTAS_Vision Transformer Architecture Search☆51Updated 3 years ago
- ☆30Updated 4 years ago
- Learning recognition/segmentation models without end-to-end training. 40%-60% less GPU memory footprint. Same training time. Better perfo…☆90Updated 2 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- Bag of Instances Aggregation Boosts Self-supervised Distillation (ICLR 2022)☆33Updated 2 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆69Updated 2 years ago
- [ICLR 2022]: Fast AdvProp☆35Updated 3 years ago
- Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)☆125Updated 2 years ago
- Official Codes and Pretrained Models for RecursiveMix☆22Updated 2 years ago
- ☆32Updated 3 years ago
- This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".☆45Updated 2 years ago
- Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"☆44Updated 4 years ago
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆70Updated 3 years ago
- [TIP 2022] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, …☆104Updated 2 years ago
- Anytime Dense Prediction with Confidence Adaptivity (ICLR 2022)☆50Updated 8 months ago
- ☆45Updated 3 years ago
- Automatic model evaluation (AutoEval) in CVPR'21&TPAMI'22☆36Updated 2 years ago
- ☆57Updated 3 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 3 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 2 years ago
- [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…☆44Updated 3 years ago
- Evaluation of semi-supervised learning on challenging datasets☆36Updated 3 years ago
- Improving Contrastive Learning by Visualizing Feature Transformation, ICCV 2021 Oral☆90Updated 3 years ago
- ReSSL: Relational Self-Supervised Learning with Weak Augmentation☆58Updated 3 years ago
- This is the pytorch re-implementation of the IterNorm☆41Updated 5 years ago
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆56Updated 2 years ago
- [CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture Comparators☆40Updated 3 years ago
- [ECCV2022] The PyTorch implementation of paper "Equivariance and Invariance Inductive Bias for Learning from Insufficient Data"☆19Updated 2 years ago
- Seach Losses of our paper 'Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search', accepted by ICLR 2021.☆56Updated 3 years ago
- An integration of several popular automatic augmentation methods, including OHL (Online Hyper-Parameter Learning for Auto-Augmentation St…☆48Updated 4 years ago