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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.

awesome-graph-explainability-papers

Papers about explainability of GNNs

awesome-tensorial-neural-networks

A thoroughly investigated survey for tensorial neural networks.

contrastive-guided-diffusion-process

deepquantumneuralnetworks

deeprobust

A pytorch adversarial library for attack and defense methods on images and graphs

deltann

Discontinuous Neural Networks

diff-pgd

[NeurIPS'2023] Official Code Repo:Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability

generalization-error-and-lipschitz-constant-bounds-for-polynomial-nets

gp4a

Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"

graphqntk

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)

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.

itransformer

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

ksupport

Code for the machine learning methods described in: M. B. Blaschko, A Note on k-support Norm Regularized Risk Minimization. arXiv:1303.6390, 2013.

ksupportnorm4tensor

meta

Trace norm regularization for multi-task learning with scarce data

mfcgan

mmcl

Experiments in the paper "Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data"

mmoe

[arXiv'24] Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization

mprod_package

Software implementation for tensor-tensor m-product

oitnn

Sample code for AAAI 2020 Paper: "Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms"

qcnn

quantum convolutional neural network - simulations

qml_thesis

Source codes and extra material from masters thesis

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.

quantumbias