hchoi71 / AMC-LossLinks
CVPR workshop (DiffCVML) 2020
☆14Updated 5 years ago
Alternatives and similar repositories for AMC-Loss
Users that are interested in AMC-Loss are comparing it to the libraries listed below
Sorting:
- An implementation of Squared Earth-Mover's Distance loss for Neural Networks.☆14Updated 2 years ago
- PyTorch implementation of Semi-Supervised Learning with Scarce Annotations https://arxiv.org/pdf/1905.08845.pdf☆13Updated 5 years ago
- ☆57Updated 3 years ago
- ☆41Updated 4 years ago
- diffGrad: An Optimization Method for Convolutional Neural Networks☆55Updated 2 years ago
- This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…☆36Updated 5 years ago
- Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.☆23Updated 3 years ago
- CoaT: Co-Scale Conv-Attentional Image Transformers☆16Updated 4 years ago
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆78Updated 3 years ago
- PyTorch implementation of Data-Efficient Image Recognition with Contrastive Predictive Coding☆13Updated 5 years ago
- PyTorch implementation of the ECCV 2020 paper "Gabor Layers Enhance Network Robustness".☆31Updated 5 years ago
- Train Faster and Boost Performance with Class Hierarchies. Build Robust Representations Less Prone to Serious Classification Errors. - Py…☆9Updated 2 years ago
- Code for the paper: Audio-Visual Model Distillation Using Acoustic Images☆21Updated 2 years ago
- A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…☆45Updated 2 years ago
- (ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv…☆44Updated 4 years ago
- Interpretable Visualizations with Differentiating Embedding Networks☆8Updated 5 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- ☆54Updated 3 years ago
- ☆16Updated last year
- Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.☆38Updated 3 years ago
- Implementation of Cross Transformer for spatially-aware few-shot transfer, in Pytorch☆53Updated 4 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 5 years ago
- Code and data of the "Multi-domain adversarial learning" paper, Schoenauer-Sebag et al., accepted at ICLR 2019☆38Updated 4 years ago
- Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"☆99Updated 4 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- Official repository for HP-VAE-GAN☆56Updated last year
- 90%+ with 40 labels. please see the readme for details.☆37Updated 4 years ago
- Tensorflow Implementation for paper "self-supervised generative adversarial networks"☆38Updated 4 years ago
- Keras implementation of Representation Learning with Contrastive Predictive Coding for images☆35Updated 4 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆47Updated 4 years ago