HaotianMXu / Multiclass_LinearSVM_with_SGDLinks
A demonstration of how to use PyTorch to implement Support Vector Machine with L2 regularizition and multiclass hinge loss
☆48Updated 7 years ago
Alternatives and similar repositories for Multiclass_LinearSVM_with_SGD
Users that are interested in Multiclass_LinearSVM_with_SGD are comparing it to the libraries listed below
Sorting:
- Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory☆47Updated 6 years ago
- ☆226Updated 5 years ago
- Self-Supervised Representation Learning by Rotation Feature Decoupling☆95Updated 6 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229☆66Updated 4 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- Rethinking Feature Distribution for Loss Functions in Image Classification☆41Updated 2 years ago
- Meta-Learning based Noise-Tolerant Training☆123Updated 5 years ago
- Example of Deconvnet in PyTorch for VGG16☆64Updated 8 years ago
- Exploring CNNs and model quantization on Caltech-256 dataset☆85Updated 8 years ago
- Interpreting CNN Knowledge via an Explanatory Graph☆70Updated 5 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆81Updated 2 years ago
- A PyTorch Implementation of Matrix Capsules with EM Routing☆91Updated 5 years ago
- Implementation from the paper Attention Augmented Convolutional Networks in Tensorflow (https://arxiv.org/pdf/1904.09925v1.pdf)☆45Updated 6 years ago
- Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convol…☆57Updated 6 years ago
- Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning☆120Updated last year
- The official implementation of paper "DIANet:Dense-and-Implicit-Attention-Network".☆103Updated 2 years ago
- Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019☆176Updated 5 years ago
- A PyTorch implementation for Unsupervised Data Augmentation☆23Updated 3 years ago
- Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018☆131Updated 6 years ago
- t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature☆65Updated 7 years ago
- PyTorch implementation of shake-shake regularization☆48Updated 5 years ago
- PyTorch implementation of "SNAPSHOT ENSEMBLES: TRAIN 1, GET M FOR FREE" [WIP]☆36Updated 8 years ago
- Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"☆143Updated 6 years ago
- Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857☆59Updated 6 years ago
- rGAN: Label-Noise Robust Generative Adversarial Networks☆96Updated 4 years ago
- Tools for computing model parameters and FLOPs.☆88Updated 6 years ago
- Auto-Encoding Transformations (AETv1), CVPR 2019☆109Updated 6 years ago
- Official Implementation of "DeepCaps: Going Deeper with Capsule Networks" paper (CVPR 2019).☆151Updated 5 years ago
- Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)☆88Updated 7 years ago