1 code implementation • ECCV 2020 • Sungwon Han, Sungwon Park, Sungkyu Park, Sundong Kim, Meeyoung Cha
Unsupervised image classification is a challenging computer vision task.
Ranked #1 on Image Clustering on STL-10 (Backbone metric, using extra training data)
no code implementations • 18 Mar 2024 • Seungpil Lee, Woochang Sim, Donghyeon Shin, Sanha Hwang, Wongyu Seo, Jiwon Park, Seokki Lee, Sejin Kim, Sundong Kim
The existing methods for evaluating the inference abilities of Large Language Models (LLMs) have been results-centric, making it difficult to assess the inference process.
no code implementations • 18 Nov 2023 • Eunji Lee, Sihyeon Kim, Sundong Kim, Soyeon Jung, Heeja Kim, Meeyoung Cha
The task of assigning internationally accepted commodity codes (aka HS codes) to traded goods is a critical function of customs offices.
1 code implementation • ICCV 2023 • Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
Federated learning is used to train a shared model in a decentralized way without clients sharing private data with each other.
1 code implementation • 18 Jul 2023 • Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
Evaluations of real-world scenarios across multiple datasets show that the proposed method enhances the robustness of federated learning against model poisoning attacks.
no code implementations • 14 Jun 2023 • JaeHyun Park, Jaegyun Im, Sanha Hwang, Mintaek Lim, Sabina Ualibekova, Sejin Kim, Sundong Kim
In the pursuit of artificial general intelligence (AGI), we tackle Abstraction and Reasoning Corpus (ARC) tasks using a novel two-pronged approach.
1 code implementation • 15 Mar 2023 • Sungwon Han, Seungeon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha
Algorithmic fairness has become an important machine learning problem, especially for mission-critical Web applications.
1 code implementation • 4 Aug 2022 • Chaeyoon Jeong, Sundong Kim, Jaewoo Park, Yeonsoo Choi
Given the huge volume of cross-border flows, effective and efficient control of trade becomes more crucial in protecting people and society from illicit trade.
1 code implementation • 19 Jul 2022 • Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha
This paper presents FedX, an unsupervised federated learning framework.
no code implementations • 18 Jan 2022 • Sungwon Park, Sundong Kim, Meeyoung Cha
Knowledge of the changing traffic is critical in risk management.
no code implementations • 2 Nov 2021 • Eunji Lee, Sundong Kim, Sihyun Kim, Sungwon Park, Meeyoung Cha, Soyeon Jung, Suyoung Yang, Yeonsoo Choi, Sungdae Ji, Minsoo Song, Heeja Kim
The task of assigning and validating internationally accepted commodity code (HS code) to traded goods is one of the critical functions at the customs office.
1 code implementation • 29 Sep 2021 • Tung-Duong Mai, Kien Hoang, Aitolkyn Baigutanova, Gaukhartas Alina, Sundong Kim
Capturing the changing trade pattern is critical in customs fraud detection.
no code implementations • ICLR 2022 • Yooju Shin, Susik Yoon, Sundong Kim, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee
Time-series data are ubiquitous these days, but lack of the labels in time-series data is regarded as a hurdle for its broad applicability.
1 code implementation • CVPR 2021 • Sungwon Park, Sungwon Han, Sundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, Meeyoung Cha
Unsupervised image clustering methods often introduce alternative objectives to indirectly train the model and are subject to faulty predictions and overconfident results.
Ranked #1 on Image Clustering on CIFAR-100 (Train Set metric, using extra training data)
1 code implementation • 27 Oct 2020 • Sundong Kim, Tung-Duong Mai, Sungwon Han, Sungwon Park, Thi Nguyen Duc Khanh, Jaechan So, Karandeep Singh, Meeyoung Cha
We study the human-in-the-loop customs inspection scenario, where an AI-assisted algorithm supports customs officers by recommending a set of imported goods to be inspected.
1 code implementation • KDD 2020 • Sundong Kim, Yu-Che Tsai, Karandeep Singh, Yeonsoo Choi, Etim Ibok, Cheng-Te Li, Meeyoung Cha
Intentional manipulation of invoices that lead to undervaluation of trade goods is the most common type of customs fraud to avoid ad valorem duties and taxes.
no code implementations • 19 Nov 2019 • Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee
Compared with existing batch selection methods, the results showed that Recency Bias reduced the test error by up to 20. 97% in a fixed wall-clock training time.
no code implementations • ICLR 2019 • Hwanjun Song, Sundong Kim, Minseok Kim, Jae-Gil Lee
Neural networks can converge faster with help from a smarter batch selection strategy.
no code implementations • 4 Apr 2016 • Sundong Kim
Knowledge base is the way to store structured and unstructured data throughout the web.