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adversarial-distributional-training

Adversarial Distributional Training (NeurIPS 2020)

analytic-continual-learning

This repository will be posting analytic continual learning series, including Analytic Class-Incremental Learning (ACIL), Gaussian Kernel Embedded Analytic Learning (GKEAL), Dual-Stream Analytic Learning (DS-AL), etc.

auto-attack

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

awp

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

causal-adversarial-instruments

Official PyTorch Implementation for "Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression" in CVPR 2023

cnn_visualizations

Visualization of Adversarial Examples

consistent_depth

We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.

deep-symbolic-optimization

Source code for deep symbolic optimization.

df-net

[ECCV 2018] DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency

diffpure

A new adversarial purification method that uses the forward and reverse processes of diffusion models to remove adversarial perturbations.

dkl

Decoupled Kullback-Leibler Divergence Loss (DKL)

eql-wind-speed-forecasting

Official repository for the paper "Symbolic regression for scientific discovery: an application to wind speed forecasting"

f2net

Code for AAAI 2021 paper: F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation

fooling_neural_network-interpretations

This repository provides a PyTorch implementation of "Fooling Neural Network Interpretations via Adversarial Model Manipulation". Our paper has been accepted to NeurIPS 2019.

fsr

Feature Separation and Recalibration (CVPR 2023 Highlights)

gmaa

google-research

Google Research

infobatch

Lossless Training Speed Up by Unbiased Dynamic Data Pruning

logitclip

ICML 2023 Mitigating memorization of noisy labels by clipping the model prediction

meta-pec

The implementation of Meta-Pec

mtard

The Code of ECCV2022:Enhanced Accuracy and Robustness via Multi-Teacher Adversarial Distillation

personalizedfl

Personalized federated learning codebase for research

pm2.5-gnn

PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting

prep-shot

Pathways for Renewable Energy Planning coupling Short-term Hydropower OperaTion

pyraformer

raft

rdat

sod-cnns-based-code-summary-

The summary of code and paper for salient object detection with deep learning

time_series_backdoor_attack

SaTML'23 paper "Backdoor Attacks on Time Series: A Generative Approach" by Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, and James Bailey.

torch-cam

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)