pingzaiwang Goto Github PK
Name: Pingzai Wang
Type: User
Company: RIKEN AIP
Bio: A trivial learner.
Location: Tokyo, Japan
Name: Pingzai Wang
Type: User
Company: RIKEN AIP
Bio: A trivial learner.
Location: Tokyo, Japan
Repository for accessing all relevant work documents for reproducibility and transparency
The demo code for the paper "Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks" in NeurIPS'23
Source code for AAAI-2024 oral paper: Preparing Lessons for Progressive Training on Language Models
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.
Papers about explainability of GNNs
A thoroughly investigated survey for tensorial neural networks.
A pytorch adversarial library for attack and defense methods on images and graphs
Discontinuous Neural Networks
[NeurIPS'2023] Official Code Repo:Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"
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)
This repository will include the exploration of information entropy change in learning systems for various applications, such as classification, segmentation, detection, generative AI, etc.
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
Code for the machine learning methods described in: M. B. Blaschko, A Note on k-support Norm Regularized Risk Minimization. arXiv:1303.6390, 2013.
Trace norm regularization for multi-task learning with scarce data
Experiments in the paper "Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data"
[arXiv'24] Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization
Software implementation for tensor-tensor m-product
Sample code for AAAI 2020 Paper: "Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms"
Supplementary code for "Can Implicit Bias Imply Adversarial Robustness?", ICML'24
quantum convolutional neural network - simulations
Source codes and extra material from masters thesis
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.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.