byeonghu-na
Ph.D. Student, Applied Artificial Intelligence Laboratory, Department of Industrial and Systems Engineering, KAIST, Daejeon, Republic of Korea
KAISTDaejeon
byeonghu-na's Stars
aailabkaist/EgoPlan_Challenge_Team_AAILab
aailabkaist/REIC
Official PyTorch implementation for Reward-based Input Construction for Cross-document Relation Extraction (REIC) in ACL 2024.
aailabkaist/LAGMA
(Official) PyTorch implementation for LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning (ICML 2024)
aailabkaist/DiffRS
Official PyTorch implementation for Diffusion Rejection Sampling (DiffRS) in ICML 2024.
aailabkaist/Implicit-Kernel-Attention
Official PyTorch implementation for Implicit Kernel Attention [AAAI 2021]
aailabkaist/DCEVAE
aailabkaist/FRSKD
aailabkaist/Soft-Truncation
aailabkaist/UADAL
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation (UADAL) [NeurIPS 2022]
aailabkaist/LCMat
aailabkaist/DG
Official repo for Discriminator Guidance.
aailabkaist/HUPM
aailabkaist/APP
Official PyTorch implementation for Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior [AAAI 2024]
aailabkaist/TIW-DSM
About Official PyTorch implementation for Training Unbiased Diffusion Models From Biased Dataset in ICLR 2024.
aailabkaist/EMU
(Official) PyTorch implementation for Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning (EMU) in ICLR 2024.
aailabkaist/UDIM
aailabkaist/librec
LibRec: A Java Library for Recommender Systems, see
aailabkaist/Introduction-to-Artificial-Intelligence-Machine-Learning
Apache 2.0 License
aailabkaist/CSrankings
A web app for ranking computer science departments according to their research output in selective venues.
aailabkaist/PowerSim
This is a simulation program that computes the voltage of the busbar and the current of the line, and analyzes the loss power and the unbalance rate for a small-scale power system.
aailabkaist/Network-Text-Analysis-for-10K-Report
Network-Text Analysis for 10K Report
aailabkaist/FreD
Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]
aailabkaist/RENT
Official PyTorch implementation For "Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning" [ICLR 2024]
aailabkaist/NPC
Official PyTorch implementation For "From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model" [ICML 2022]
aailabkaist/LADA
Official PyTorch implementation for Look-Ahead Data Acquisition via Augmentation for Deep Active Learning [NeurIPS 2021]
aailabkaist/SAAL
Official PyTorch implementation For Sharpness-Aware Active Learning [ICML 2023]
aailabkaist/tdsm
Official PyTorch implementation for Label-Noise Robust Diffusion Models (TDSM) in ICLR 2024.
aailabkaist/INDM
Official PyTorch implementation for Maximum Likelihood Training of Implicit Nonlinear Diffusion Model (INDM) in NeurIPS 2022.
HyunghoNa/EMU
(Official) PyTorch implementation for Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning (EMU) (ICLR 2024, Oral)
alexzhou907/DDBM