Research Engineer @Holiday-Robot ; Ph D @KAIST AI, Ex-@qualcomm AI, @dynamofl, @google research, @lgresearch
Repositories
Kthyeon/KAIST-AI-NeurIPS2019-MicroNet-2nd-place-solution
NeurIPSCD2019, MicroNet Challenge hosted by Google, Deepmind Researcher, "Efficient Model for Image Classification With Regularization Tricks".
Kthyeon/FINE_official
NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"
Kthyeon/local-mem-agent
Kthyeon/Multilingual-SpecBench
Evaluation of speculative inference over multilingual tasks
Kthyeon/dnn_orthogonality
[IEEE Access 2022] Revisiting Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification
Kthyeon/Kthyeon
Kthyeon/ssfod
[Official] NeurIPS 2023, "Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Approach for Object Detection"
Kthyeon/Awesome-LLM-Reasoning
Reasoning in LLMs: Papers and Resources, including Chain-of-Thought, OpenAI o1, and DeepSeek-R1 🍓
Kthyeon/FedSup
[Official] ICML 2022 workshop: Dynamic Neural Networks, Oral Paper, "SUPERNET TRAINING FOR FEDERATED IMAGE CLASSIFICATION UNDER SYSTEM HETEROGENEITY"
Kthyeon/Turbo-loaa
Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads
Kthyeon/FederatedGPT-Shepherd
Developed Shepherd
Kthyeon/FINE
Kthyeon/FedBABU
ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"
Kthyeon/NIH-Chest-X-ray-Dataset
Kthyeon/kd_data
kd experiments according to data
Kthyeon/LG_VisionModule3
Kthyeon/labwork
kaist osilab