Woosang Lim

According to our database, Woosang Lim authored at least 10 papers between 2014 and 2024.

Collaborative distances:

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

2024

Efficient and Scalable Estimation of Tool Representations in Vector Space.

Suhong Moon, Siddharth Jha, Lutfi Eren Erdogan, Sehoon Kim, Woosang Lim, Kurt Keutzer, Amir Gholami

CoRR, 2024

MMSci: A Multimodal Multi-Discipline Dataset for PhD-Level Scientific Comprehension.

Zekun Li, Xianjun Yang, Kyuri Choi, Wanrong Zhu, Ryan Hsieh, HyeonJung Kim, Jin Hyuk Lim, Sungyoung Ji, Byungju Lee, Xifeng Yan, Linda Ruth Petzold, Stephen D. Wilson, Woosang Lim, William Yang Wang

CoRR, 2024

Moleco: Molecular Contrastive Learning with Chemical Language Models for Molecular Property Prediction.

Jun-Hyung Park, Hyuntae Park, Yeachan Kim, Woosang Lim, SangKeun Lee

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2018

Multi-scale Nystrom Method.

Woosang Lim, Rundong Du, Bo Dai, Kyomin Jung, Le Song, Haesun Park

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

CoDiNMF: Co-Clustering of Directed Graphs via NMF.

Woosang Lim, Rundong Du, Haesun Park

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Hadamard Product for Low-rank Bilinear Pooling.

Jin-Hwa Kim, Kyoung Woon On, Woosang Lim, Jeonghee Kim, Jung-Woo Ha, Byoung-Tak Zhang

Proceedings of the 5th International Conference on Learning Representations, 2017

2015

Double Nyström Method: An Efficient and Accurate Nyström Scheme for Large-Scale Data Sets.

Woosang Lim, Minhwan Kim, Haesun Park, Kyomin Jung

Proceedings of the 32nd International Conference on Machine Learning, 2015

Reward Shaping for Model-Based Bayesian Reinforcement Learning.

Hyeoneun Kim, Woosang Lim, Kanghoon Lee, Yung-Kyun Noh, Kee-Eung Kim

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Optimizing Generative Dialog State Tracker via Cascading Gradient Descent.

Byung-Jun Lee, Woosang Lim, Daejoong Kim, Kee-Eung Kim

Proceedings of the SIGDIAL 2014 Conference, 2014

Data/Feature Distributed Stochastic Coordinate Descent for Logistic Regression.

Dongyeop Kang, Woosang Lim, Kijung Shin, Lee Sael, U Kang

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014