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Search results for paper cifar
cifar
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paper
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84 search results found
Pixel Cnn
⭐
1,650
Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"
Enas
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1,433
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
Big_transfer
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1,421
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
Knowledge Distillation Zoo
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804
Pytorch implementation of various Knowledge Distillation (KD) methods.
Densenet
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658
DenseNet implementation in Keras
Pytorch_resnet_cifar10
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614
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
Pytorch Randaugment
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557
Unofficial PyTorch Reimplementation of RandAugment.
Featurelearningrotnet
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496
Iaf
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442
Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"
Vdvae
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389
Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"
Glow Pytorch
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317
Simple, extendable, easy to understand Glow implementation in PyTorch
Snapshot Ensembles
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277
Snapshot Ensemble in Keras
Awesome Tensorlayer
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212
A curated list of dedicated resources and applications
Contrastive Clustering
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181
Code for the paper "Contrastive Clustering" (AAAI 2021)
Deterministic Uncertainty Quantification
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175
Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"
Pruning Filter In Filter
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161
Pruning Filter in Filter(NeurIPS2020)
Smoothing Adversarial
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148
Code for our NeurIPS 2019 spotlight "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"
Skip Ganomaly
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144
Source code for Skip-GANomaly paper
Ict
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122
Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)
Fitting Random Labels
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118
Example code for the paper "Understanding deep learning requires rethinking generalization"
L_dmi
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116
Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
Mixmatch Pytorch
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106
Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)
Deepcaps
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106
Official Implementation of "DeepCaps: Going Deeper with Capsule Networks" paper (CVPR 2019).
Unadversarial
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75
Official repository for our "Unadversarial Examples: Designing Objects for Robust Vision" paper
Denoised Smoothing
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69
Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs
Noisy_label
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69
Code for the CVPR15 paper "Learning from Massive Noisy Labeled Data for Image Classification"
Pytorch Be Your Own Teacher
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61
A pytorch implementation of paper 'Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation', https://arxiv.org/abs/1905.08094
Dpsh Pytorch
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55
A pytorch implementation for paper "Feature Learning based Deep Supervised Hashing with Pairwise Labels" with pytorch version
Otfusion
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49
Model Fusion via Optimal Transport, NeurIPS 2020
Signsgd
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48
Code for the signSGD paper
Lg Fedavg
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46
Federated Learning with Local and Global Representations
Semisup Adv
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43
Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf
Talr
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43
Code for CVPR 2018 paper "Hashing as Tie-Aware Learning to Rank"
Memorygan
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42
Repository for our ICLR 2018 paper: memoryGAN
Pytorch Cifar10
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39
The state-of-the-art algorithms on CIFAR-10 dataset in PyTorch
Continual Learning Reproduce
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38
Continual / incremental / lifelong learning methods implemented by PyTorch. Especially the methods based on memory replay.
B Cnn
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38
Sample code of B-CNN paper (https://arxiv.org/abs/1709.09890) written in Python3+.
Cifarsota
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37
Reviewing recent advances in classification on CIFAR 10 and 100 datasets
Pytorch Lr Dropout
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35
"Learning Rate Dropout" in PyTorch
Prediction_gan
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30
PyTorch Impl. of Prediction Optimizer (to stabilize GAN training)
Icarl
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29
PyTorch Implementation of iCaRL
Pytorch Simclr
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29
A PyTorch reproduction of 'A Simple Framework for Contrastive Learning of Visual Representations' by Ting Chen, et al.
Gan Manifold Regularization
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28
This is the code we used in our paper accepted at ICLR 2018
Hpn
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26
Hyperspherical Prototype Networks
Semi Supervised Paper Implementation
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25
Reproduce some methods in semi-supervised papers.
Conv_snn
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23
Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper
Resnet
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22
An implementation of the original "ResNet" paper in Pytorch
Classification Ad
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22
Repository for the paper "Rethinking Assumptions in Anomaly Detection"
Realnvp
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20
PyTorch implementation of realNVP
Bre Gan
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18
Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · R. Huang
Pruningneuralnetworks
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18
This repository provides the implementation of the method proposed in our paper "Pruning Deep Neural Networks using Partial Least Squares"
Improvedgan Pytorch
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17
Improved Techniques for Training GANs for cifar10 dataset
Fishergan
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17
Code accompanying the paper Fisher GAN: https://arxiv.org/abs/1705.09675
Shakedrop
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17
Torch implementation of the paper "ShakeDrop regularization" (https://arxiv.org/abs/1802.02375).
Resnet Pytorch Cifar10
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16
PyTorch implementation of residual networks trained on CIFAR-10 dataset
Ddsh Tip2018
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16
source code for paper "Deep Discrete Supervised Hashing"
Dnn Datadependentactivation
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15
The code for the paper: https://arxiv.org/pdf/1802.00168.pdf
Selective_deep_learning
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15
Code for the paper "Selective Classification for Deep Neural Networks"
Prdarts
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14
Code for our paper "Prune and Replace NAS"
Deep Learning Notebooks
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14
Collection of my implementations of various papers and the stuff I like.
Dcfnet Pytorch
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13
Pytorch implementation for Decomposed Convolutional Filters Network
Adversarial Explanations Cifar
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13
Code example for the paper, "Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network Robustness."
Hyperprotonetreproduce
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13
NeurIPS 2019 Paper Implementation
Temporal Ensembling Semi Supervised
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13
keras implementation of temporal ensembling(semi-supervised learning)
Cliquenet Pytorch
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12
a pytorch re-implementation of CliqueNet on CIFAR-10
Pmf
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12
Proximal Mean-field for Neural Network Quantization
Glico Learning Small Sample
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12
Generative Latent Implicit Conditional Optimization when Learning from Small Sample ICPR 20'
Simsiam
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12
Exploring Simple Siamese Representation Learning
Pytorch Peleenet
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12
Simple Code Implementation of "PeleeNet" architecture in "Pelee Paper" using PyTorch.
Zam
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11
ZAM: Zero parameter Attention Module
Sa_dnn
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10
Sensitivity Analysis of Deep Neural Networks (AAAI-19 paper)
Defending Neural Backdoors Via Generative Distribution Modeling
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10
The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749
Brainprop
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10
BrainProp: How the brain can implement reward-based error backpropagation
Pt.fractalnet
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10
PyTorch Implementation of FractalNet
Learn To Pay Attention
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10
reproduce ICLR18 paper "Learn to Pay Attention"
Splitting
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9
Offical Repo for Splitting Steepest Descent for Growing Neural Architectures
Symloss Ber Auc
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8
Code for the paper: On Symmetric Losses for Learning from Corrupted Labels
Pmd
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7
Population matching discrepancy
Enas
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6
ENAS for ImageNet
Gconv Prune
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6
Code repository for paper "Efficient Structured Pruning and Architecture Searching for Group Convolution" https://arxiv.org/abs/1811.09341
Subspace Attack.pytorch
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6
Implementation of our NeurIPS 2019 paper: Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks
Deep_separation_contraction
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6
This is the code for the CVPR17 paper "Building a Regular Decision Boundary with Deep Networks"
Classification With Coarse Fine Labels
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6
Code accompanying the paper Weakly Supervised Image Classification with Coarse and Fine Labels.
Uniformaugment
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6
Unofficial PyTorch Reimplementation of UniformAugment.
Label
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5
Is the label good? we need to process noise, represent label and regularization
Igcv_v1.pytorch
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5
re-implement for paper: Interleaved Group Convolutions for Deep Neural Networks. (IGCV V1)
Mixedexample
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5
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