haoyang-219 Goto Github PK

l_inf-dist-net

This is the official github repo for training L_inf dist nets with high certified accuracy.

lame

This code accompanies the paper "Parameter-free Online Test-time Adaptation".

learn2perturb

libmtl

LibMTL: A PyTorch Library for Multi-Task Learning

lisa

LISA for ICML 2022

logitnorm_ood

Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization

lts

Local Temperature Scaling for Probability Calibration

mathjax-docs

MathJax documentation. Beautiful math in all browsers. Beautifully documented.

maxsquareloss

Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.

mixstyle-release

Domain Generalization with MixStyle. ICLR'21.

ml2021_awp

model-uncertainty-for-adaptation

Code paper Uncertainty Reduction for Uncertainty Reduction for Model Adaptation in Semantic Segmentation at CVPR 2021

nrgnn

A PyTorch implementation of "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs" (KDD 2021)

nudtpaper

A LaTeX template for Master/PhD Thesis of NUDT

odin

A simple and effective method for detecting out-of-distribution images in neural networks.

paddleclas

A treasure chest for visual recognition powered by PaddlePaddle

papers-of-robust-ml

Related papers for robust machine learning

pidinet

Code for the ICCV 2021 paper "Pixel Difference Networks for Efficient Edge Detection" (Oral).

prnet-depth-generation

A implementaion of depth generation based on [PRNet](https://github.com/YadiraF/PRNet), which was used in the paper ***Exploiting Temporal and Depth Information for Multi-frame Face Anti-spoofing***

pt-map

A Few-Shot classification algorithm

pytorch-bayesiancnn

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

pytorch-cifar

95.47% on CIFAR10 with PyTorch

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

react

ReAct: Out-of-distribution Detection With Rectified Activations

robograph

The implementation of paper "Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks"

robust-models-transfer

Official repository for our NeurIPS 2020 *oral* "Do Adversarially Robust ImageNet Models Transfer Better?"

robustness

Corruption and Perturbation Robustness (ICLR 2019)

s2m2_fewshot

salsanext

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

shiftaddnas

[ICML 2022] ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks