UCLA Artificial General Intelligence Lab

Elite
@uclaml

The artificial general intelligence lab (formerly known as statistical machine learning lab) at UCLA is led by Prof. Quanquan Gu in the computer science dept.

SPIN. The official implementation of Self-Play Fine-Tuning (SPIN)

1.2k

SPPO. The official implementation of Self-Play Preference Optimization (SPPO)

589

Rephrase-and-Respond. Official repo of Respond-and-Respond: data, code, and evaluation

104

RayS. RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)

57

NeuralUCB. Python

52

Padam. Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks" (accepted by IJCAI 2020)

40

MoE. Towards Understanding the Mixture-of-Experts Layer in Deep Learning

35

PDE. Official repo of Progressive Data Expansion: data, code and evaluation

29

COPS. The official implementation of Cross-Task Experience Sharing (COPS)

29

ucla-covid19-forecasts. Python

14

Frank-Wolfe-AdvML. A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks (AAAI'20)

11

NeuralTS. Python

9

svrg-lowrank. fast nonconvex stochastic variance reduced gradient for low-rank matrix estimation

8

nonconvex-RPCA. fast nonconvex algorithm for robust PCA

5

GFA-RFE. Uncertainty-Aware Reward-Free Exploration with General Function Approximation

5

CS269-Winter2019.

4

CW-OFUL. Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions

3

Benign-Overfitting-CNN. Benign Overfitting in Two-layer Convolutional Neural Networks

3

nonconvex-IMC. fast nonconvex algorithm for inductive matrix completion

3

CS260-Fall2022.

3

PhyGCN. Python

2

Benign_ReLU_CNN. Python

2

VACDB. Variance-aware Contextual Dueling Bandits

2

FedLinUCB. A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits

2

CS260-Fall18. Machine Learning

2

CS161-Winter2020. Fundamentals of Artificial Intelligence

2

pretrain-finetune-SGD. The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift

2

FLASH. Fast Local minimA finding with third-order SmootHness (FLASH)

2

CS260-Spring2020. Machine Learning

1

CP-time-series-clustering. High-dimensional Time Series Clustering via Cross-Predictability

1

LDP-UCRL-VTR. Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes

1

nonconvex-CGGM. fast nonconvex algorithm for covariate-adjusted precision matrix estimation/conditional Gaussian graphical model estimation

1

SSL_Pseudo_Labeler. Python

1

nonconvex-LVGGM. fast nonconvex algorithm for latent variable Gaussian graphical models

1

DNDM. Python

1
35
Apply