Kenji Kawaguchi

Multi-Task Learning as a Bargaining Game

2022 · arXiv (Cornell University)

In Multi-task learning (MTL), a joint model is trained to simultaneously make predictions for several tasks. Joint training reduces computation costs and improves data efficiency; however, since the gradients of these different tasks may conflict, …

Self-Supervised Dataset Distillation for Transfer Learning

2023 · arXiv (Cornell University)

Dataset distillation methods have achieved remarkable success in distilling a large dataset into a small set of representative samples. However, they are not designed to produce a distilled dataset that can be effectively used for …

AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging

2025

Yiran Zhao, Wenxuan Zhang, Huiming Wang, Kenji Kawaguchi, Lidong Bing. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). …