BaeHeeSun

EgoPlan_Challenge_Team_AAILab

TIW-DSM

About Official PyTorch implementation for Training Unbiased Diffusion Models From Biased Dataset in ICLR 2024.

DG

Official repo for Discriminator Guidance.

APP

Official PyTorch implementation for Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior [AAAI 2024]

tdsm

Official PyTorch implementation for Label-Noise Robust Diffusion Models (TDSM) in ICLR 2024.

INDM

Official PyTorch implementation for Maximum Likelihood Training of Implicit Nonlinear Diffusion Model (INDM) in NeurIPS 2022.

LADA

Official PyTorch implementation for Look-Ahead Data Acquisition via Augmentation for Deep Active Learning [NeurIPS 2021]

SAAL

Official PyTorch implementation For Sharpness-Aware Active Learning [ICML 2023]

RENT

Official PyTorch implementation For "Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning" [ICLR 2024]

NPC

Official PyTorch implementation For "From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model" [ICML 2022]

UADAL

Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation (UADAL) [NeurIPS 2022]

LCMat

UDIM

FreD

Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]

EMU

(Official) PyTorch implementation for Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning (EMU) in ICLR 2024.

LAGMA

(Official) PyTorch implementation for LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning (ICML 2024)

DiffRS

Official PyTorch implementation for Diffusion Rejection Sampling (DiffRS) in ICML 2024.

REIC

Official PyTorch implementation for Reward-based Input Construction for Cross-document Relation Extraction (REIC) in ACL 2024.

EMU

(Official) PyTorch implementation for Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning (EMU) (ICLR 2024, Oral)

RENT

tdsm

Official PyTorch implementation for Label-Noise Robust Diffusion Models (TDSM) in ICLR 2024.

LCMat

Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)

APP

Official PyTorch implementation for Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior [AAAI 2024]

Multimodal-Representation

Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

Advances-in-Label-Noise-Learning

A curated (most recent) list of resources for Learning with Noisy Labels

NPC