YisenWang

models

Models and examples built with TensorFlow

12306

12306智能刷票，订票

deep-residual-networks

Deep Residual Learning for Image Recognition

NSFC-application-template-latex

国家自然科学基金申请书正文（面上项目）LaTeX 模板（非官方）

adaptive-softmax

Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http://arxiv.org/abs/1609.04309)

iNSFC

An awesome LaTeX template for NSFC proposal.

AWP

Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"

symmetric_cross_entropy_for_noisy_labels

Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"

Unlearnable-Examples

[ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable

MART

Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"

lid_adversarial_subspace_detection

Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".

AdvCam-Hide-Adv-with-Natural-Styles

Code for "Adversarial Camouflage: Hiding Physical World Attacks with Natural Styles" (CVPR 2020)

LightRNN-NIPS2016-Tensorflow_code

The tensorflow implementation of NIPS2016 paper "LightRNN: Memory and Computation-Efficient Recurrent Neural Networks" (https://arxiv.org/abs/1610.09893)

CAS_ICLR2021

dynamic_adv_training

Code for ICML2019 Paper "On the Convergence and Robustness of Adversarial Training"

DYNACL

[ICLR 2023] Official repository of the paper "Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning"

NPAttack

Pytorch implementation of NPAttack

ONL

Code for CVPR2018 "Iterative Learning with Open-set Noisy Labels"

TMLlib

A Trustworthy Machine Learning Algorithm Library