XU Xilie's repositories
GodXuxilie.github.io
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PromptAttack
An LLM can Fool Itself: A Prompt-Based Adversarial Attack (ICLR 2024)
RobustSSL_Benchmark
Benchmark of robust self-supervised learning (RobustSSL) methods & Code for AutoLoRa (ICLR 2024).
Enhancing_ACL_via_AIR
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization (NeurIPS 2023)
Pairs-Trading-With-Python
This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.
alphasickle
多因子指数增强策略/多因子全流程实现
Efficient_ACL_via_RCS
Efficient Adversarial Contrastive Learning via Robustness-aware Coreset Selection (NeurIPS 2023 Spotlight)
NoiLIn
The code for NoiLIn: Improving Adversarial Training and Correcting Stereotype of Noisy Labels (TMLR 22 accept)
Robust-TST
Adversarial Attacks and Defense for Non-Parametric Two-Sample Tests (ICML 2022)
EB-GLISTER
CS6217 Project --- Embedding-Boosted GLISTER
blockchain-tutorial
:ear_of_rice: A step-by-step blockchain tutorial in simplified Chinese
torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
Audio-Classification
Pytorch code for "Rethinking CNN Models for Audio Classification"
FreeLB
Adversarial Training for Natural Language Understanding
jiant
The jiant toolkit for general-purpose text understanding models
pair-trading
CS7641 Team project
DatabaseSystem
DatabaseSystem 2020 Project --- Movie Recommendation System
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Friendly-Adversarial-Training
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)
ML_Practice
ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html
neural-processes
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
Face_Pytorch
face recognition algorithms in pytorch framework, including arcface, cosface, sphereface and so on
linux-0.11-lab
Docker/Qemu/Bochs Based Linux 0.11 Kernel Development Environment
Grad-school-application
申请季材料汇总，给学弟学妹们提供一些参考。(PS, SOP, CV, etc.)
adversarial_text
Code for Adversarial Training Methods for Semi-Supervised Text Classification