[A13Few-shot Visual Reasoning with Meta-analogical Contrastive Learning
Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju HwangarXiv:2007.12020, July 2020


[A12] Learning to Sample with Local and Global Contexts in Experience Replay Buffer
Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, and Sung Ju Hwang, arXiv:2007.07358, July 2020


[A11] Learning to Generate Noise for Robustness against Multiple Perturbations
Divyam Madaan, Jinwoo Shin and Sung Ju Hwang, June 2020


[A10] Transductive Few-shot Learning with Meta-Learned Confidence
Seong Min Kye, Hae Beom Lee, Hoirin Kim, and Sung Ju Hwang, arXiv:2002.12017, June 2020


[A9] Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning
Tuan A. Nguyen*, Hyewon Jeong*, Eunho Yang, and Sung Ju Hwang, arXiv:2006.12777, June 2020
(*: equal contribution) 


[A8] Rapid Structural Pruning of Neural Networks with Set-based Task Adaptive Meta-Pruning
Minyoung Song, Jaehong Yoon, and Sung Ju Hwang, June 2020


[A7] Stochastic Subset Selection
Tuan A. Nguyen*, Bruno Andreis*, Juho Lee, Eunho Yang, and Sung Ju Hwang, June 2020
(*: equal contribution) 


[A6] Semi-Relaxed Quantization with DropBits: Training Low-Bit Neural Networks via Bit-wise Regularization
Jihun Yun, Jung Hyun Lee, Sung Ju Hwang and Eunho Yang, arXiv:1911.12990, Nov 2019



[A5] Learning to Disentangle Robust and Vulnerable Features for Adversarial Detection
Byunggill Joe, Sung Ju Hwang and Insik Shin, arXiv:1909.04311, Sep 2019


[A4] Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck

Sungyub Kim, Yongsu Baek, Sung Ju Hwang and Eunho Yang, arXiv:1906.03118, Jun 2019


[A3] Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective
Hanze Dong, Yanwei Fu, Leonid Sigal, Sung Ju Hwang, Yu-Gang Jiang and Xiangyang Xue, arXiv:1810.07368, Nov 2018


[A2] Adaptive Network Sparsification with Dependent Beta-Bernoulli Dropout
Juho Lee, Saehoon Kim, Haebeom Lee, Jaehong Yoon, Eunho Yang, and Sung Ju Hwang, arXiv:1805.10896, May 2018


[A1] Hierarchical Maximum-Margin Clustering
Guang-Tong Zhou, Sung Ju Hwang, Mark Schmidt, Leonid Sigal and Greg Mori, arXiv:1502.01827, Feb 2015