no code implementations • 15 Jan 2025 • Antonio Castellanos, Galit B. Yom-Tov, Yair Goldberg, Jaeyoung Park
We find that companies should use classification models to estimate abandonment scope and our EM algorithm to assess patience.
no code implementations • 2 Oct 2024 • Jaeyoung Park, Minsu Kim, Steven Euijong Whang
We then propose a fair class-incremental learning framework that adjusts the training weights of current task samples to change the direction of the average gradient vector and thus reduce the forgetting of underperforming groups and achieve fairness.
1 code implementation • 11 Mar 2024 • Hongsun Jang, Jaeyong Song, Jaewon Jung, Jaeyoung Park, Youngsok Kim, Jinho Lee
Our work, Smart-Infinity, addresses the storage bandwidth bottleneck of storage-offloaded LLM training using near-storage processing devices on a real system.
1 code implementation • 23 Jan 2024 • Ki Hyun Tae, Hantian Zhang, Jaeyoung Park, Kexin Rong, Steven Euijong Whang
Given a user-specified group fairness measure, Falcon identifies samples from "target groups" (e. g., (attribute=female, label=positive)) that are the most informative for improving fairness.
no code implementations • 20 Apr 2023 • Ali Al-Ameri, Jaeyoung Park, Juan Sanchez, Xuesong Cai, Fredrik Tufvesson
The primary purpose is to maintain the estimation accuracy of angles of MPCs while decreasing the resolution of Doppler frequencies for minimized complexity of channel parameter estimation.
1 code implementation • 15 Sep 2022 • Hantian Zhang, Ki Hyun Tae, Jaeyoung Park, Xu Chu, Steven Euijong Whang
We then propose an approximate linear programming algorithm and provide theoretical guarantees on how close its result is to the optimal solution in terms of the number of label flips.
no code implementations • 11 Nov 2020 • Muxuan Liang, Jaeyoung Park, Qing Lu, Xiang Zhong
The proposed method includes an MTL step using all outcomes to gain efficiency, and a subsequent calibration step using only the outcome of interest to correct both types of biases.
no code implementations • IJCNLP 2019 • Youngsoo Jang, Jongmin Lee, Jaeyoung Park, Kyeng-Hun Lee, Pierre Lison, Kee-Eung Kim
We present PyOpenDial, a Python-based domain-independent, open-source toolkit for spoken dialogue systems.