NeurIPS 2019 Workshop on Bayesian Deep Learning
Deep Gaussian Processes for Weakly Supervised Learning: Tumor Mutation Burden (TMB) Prediction
Sunho Park, Hongming Xu, Tae Hyun Hwang, Saehoon Kim
NeurIPS 2019 Workshop on Sets & Partitions
Towards Deep Amortized Clustering
Juho Lee, Yoonho Lee and Yee Whye Teh
NeurIPS 2019 Workshop on Graph Representation Learning
Graph Embedding VAE: A Permutation Invariant Model of Graph Structure
Tony Duan and Juho Lee
* Soo Yeon Kim, * Saehoon Kim, Joongbum Cho, Young Suh Kim, In Suk Sol, Youngchul Sung, Inhyeok Cho, Minseop Park, Haerin Jang, Yoon Hee Kim, ** Kyung Won Kim and Myung Hyun Sohn (*: equal contribution, **: corresponding)
ACL 2019
Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data
Moonsu Han, Minki Kang, Hyunwoo Jung, Sung Ju Hwang
Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh
ICML 2019 (full oral presentation)
Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior
* Fadhel Ayed, * Juho Lee, François Caron (* indicates equal contribution)
ICML 2019 (full oral presentation)
Trimming the ℓ 1 Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning
Jihun Yun, Peng Zheng, Aurelie Lozano, Aleksandr Aravkin, Eunho Yang
ICML 2019
Learning What and Where to Transfer
Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin
ICML 2019
Spectral Approximate Inference
Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin