Geeho Kim

According to our database, Geeho Kim authored at least 9 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Score-Repellent Monte Carlo: Toward Efficient Non-Markovian Sampler with Constant Memory in General State Spaces.

Jie Hu, Lingyun Chen, Geeho Kim, Jinyoung Choi, Bohyung Han, Do Young Eun

CoRR, April, 2026

2024

Relaxed Contrastive Learning for Federated Learning.

Seonguk Seo, Jinkyu Kim, Geeho Kim, Bohyung Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Communication-Efficient Federated Learning with Accelerated Client Gradient.

Geeho Kim, Jinkyu Kim, Bohyung Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Open-Set Representation Learning through Combinatorial Embedding.

Geeho Kim, Junoh Kang, Bohyung Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Communication-Efficient Federated Learning with Acceleration of Global Momentum.

Geeho Kim, Jinkyu Kim, Bohyung Han

CoRR, 2022

Multi-Level Branched Regularization for Federated Learning.

Jinkyu Kim, Geeho Kim, Bohyung Han

Proceedings of the International Conference on Machine Learning, 2022

2021

Open-Set Representation Learning through Combinatorial Embedding.

Geeho Kim, Bohyung Han

CoRR, 2021

2020

Learning to Optimize Domain Specific Normalization for Domain Generalization.

Seonguk Seo, Yumin Suh, Dongwan Kim, Geeho Kim, Jongwoo Han, Bohyung Han

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Combinatorial Inference against Label Noise.

Paul Hongsuck Seo, Geeho Kim, Bohyung Han

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019