Pinned Repositories
2024-AISTATS-ORTLRR
Adversarial
Adversarial-Robustness-in-Unsupervied-Machine-Learning-A-Systematic-Review
Repository for accessing all relevant work documents for reproducibility and transparency
Analysis4TNN
The demo code for the paper "Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks" in NeurIPS'23
Apollo-AAAI-2024-Release
Source code for AAAI-2024 oral paper: Preparing Lessons for Progressive Training on Language Models
Awesome-Feature-Learning-in-Deep-Learning-Thoery
Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for scholars, enthusiasts, and anyone interested in delving into the fascinating world of feature learning within deep learning theory.
iTransformer
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
OITNN
Sample code for AAAI 2020 Paper: "Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms"
QuLearn
A Python package streamlining development and application of quantum and classical machine learning models. Includes a collection of QML applications from Fraunhofer ITWM.
T2NN-demo
A demo of the source code for paper "A Hybrid Norm for Guaranteed Tensor Recovery" by Yihao Luo, Andong Wang , Guoxu Zhou and Qibin Zhao published in Frontiers in Physics
pingzaiwang's Repositories
pingzaiwang/Analysis4TNN
The demo code for the paper "Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks" in NeurIPS'23
pingzaiwang/iTransformer
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
pingzaiwang/QuLearn
A Python package streamlining development and application of quantum and classical machine learning models. Includes a collection of QML applications from Fraunhofer ITWM.
pingzaiwang/Adversarial
pingzaiwang/Adversarial-Robustness-in-Unsupervied-Machine-Learning-A-Systematic-Review
Repository for accessing all relevant work documents for reproducibility and transparency
pingzaiwang/Apollo-AAAI-2024-Release
Source code for AAAI-2024 oral paper: Preparing Lessons for Progressive Training on Language Models
pingzaiwang/Awesome-Feature-Learning-in-Deep-Learning-Thoery
Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for scholars, enthusiasts, and anyone interested in delving into the fascinating world of feature learning within deep learning theory.
pingzaiwang/Awesome-LVLM-Attack
😎 up-to-date & curated list of awesome Attacks on Large-Vision-Language-Models papers, methods & resources.
pingzaiwang/awesome-tensorial-neural-networks
A thoroughly investigated survey for tensorial neural networks.
pingzaiwang/Contrastive-Guided-Diffusion-Process
pingzaiwang/DeepRobust
A pytorch adversarial library for attack and defense methods on images and graphs
pingzaiwang/Diff-PGD
[NeurIPS'2023] Official Code Repo:Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
pingzaiwang/InCharacter
Official code for the paper: InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews (previously: Do Role-Playing Chatbots Capture the Character Personalities? Assessing Personality Traits for Role-Playing Chatbots)
pingzaiwang/InformationEntropySeries
This repository will include the exploration of information entropy change in learning systems for various applications, such as classification, segmentation, detection, generative AI, etc.
pingzaiwang/MFCGAN
pingzaiwang/MMCL
Experiments in the paper "Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data"
pingzaiwang/MMoE
[arXiv'24] Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization
pingzaiwang/nbm-spam
Training and evaluating NBM and SPAM for interpretable machine learning.
pingzaiwang/PPTNQFE_Examples
Examples from arXiv:2402.07671
pingzaiwang/pReLU_ICML24
Supplementary code for "Can Implicit Bias Imply Adversarial Robustness?", ICML'24
pingzaiwang/qml_thesis
Source codes and extra material from masters thesis
pingzaiwang/quantum-neural-networks
This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will work only with Strawberry Fields version <= 0.10.0.
pingzaiwang/robustness
A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
pingzaiwang/RoTS
Robust Temporal Smoothness in Multi-Task Learning, AAA-2023
pingzaiwang/taskaugment
pingzaiwang/Theory-of-overparametrization
Code and raw data for "Theory of overparametrization in quantum neural networks"
pingzaiwang/TLS_MWP
Official source code for paper 《TLS-MWP: A Tensor-based Long- and Short-range Convolution for Multiple Weather Prediction》
pingzaiwang/TransFusion
[PyTorch] Official implementation of CVPR2022 paper "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers". https://arxiv.org/abs/2203.11496
pingzaiwang/TransFusion4TransferLearning
The R code to implement the proposed method in "TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression" published at AISTAT 2024.
pingzaiwang/undercounted-tensor-completion