
[C46] Adversarial Self-Supervised Contrastive Learning
Minseon Kim, Jihoon Tack, and Sung Ju Hwang, NeurIPS 2020
[paper]

[C45] Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction
Jinheon Baek, Dong Bok Lee, and Sung Ju Hwang, NeurIPS 2020
[paper]

[C44] MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures
Jeongun Ryu, Jaewoong Shin, Hae Beom Lee, and Sung Ju Hwang, NeurIPS 2020 (spotlight)
[paper]

[C43] Time-Reversal Symmetric ODE Network
In Huh, Eunho Yang, Sung Ju Hwang, and Jinwoo Shin, NeurIPS 2020
[paper]

[C42] Bootstrapping Neural Processes
Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, and Yee Whye Teh, NeurIPS 2020
[paper]

[C41] Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning
Youngsung Kim, Jinwoo Shin, Eunho Yang and Sung Ju Hwang, NeurIPS 2020
[paper]

[C40] Neural Complexity Measures
Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, and Seungjin Choi, NeurIPS 2020
[paper]

[C39] Attribution Preservation in Network Compression for Reliable Network Interpretation
Geondo Park, June Yong Yang, Sung Ju Hwang, and Eunho Yang, NeurIPS 2020
[paper]

[C38] Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, and Jinwoo Shin, NeurIPS 2020
[paper]

[C37] Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation
Minki Kang, Moonsu Han, Sung Ju Hwang, EMNLP 2020 (long paper)
[paper]

[C36] Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs
Seong Min Kye, Youngmoon Jung, Hae Beom Lee, Sung Ju Hwang, and Hoirin Kim, INTERSPEECH 2020
[paper]

[C35] Adversarial Neural Pruning with Latent Vulnerability Suppression
Divyam Madaan, Jinwoo Shin and Sung Ju Hwang, ICML 2020
[paper]

[C34] Cost-effective Interactive Attention Learning with Neural Attention Process
Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang and Sung Ju Hwang, ICML 2020
[paper]

[C33] Meta Variance Transfer: Learning to Augment from the Others
Seong Jin Park, Seungju Han, Ji-won Baek, Insoo Kim, Juhwan Song, Hae Beom Lee, Jae-Joon Han and Sung Ju Hwang, ICML 2020
[paper]

[C32] Self-supervised Label Augmentation via Input Transformations
Hankook Lee, Sung Ju Hwang and Jinwoo Shin, ICML 2020
[paper]

[C31] Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs
Dong Bok Lee*, Seanie Lee*, Woo Tae Jeong, Donghwan Kim and Sung Ju Hwang, ACL 2020 (long paper)
​(*: equal contribution)
[paper]

[C30] Segmenting 2K-Videos at 36.5 FPS with 24.3 GFLOPs: Accurate and Lightweight Realtime Semantic Segmentation Networks
Dokwan Oh, Daehyun Ji, Cheolhun Jang, Yoonsuk Hyun, Hong S. Bae and Sung Ju Hwang, ICRA 2020
[paper]
​

[C8] A Unified Semantic Embedding: Relating Taxonomies with Attributes
Sung Ju Hwang and Leonid Sigal, NIPS 2014
[paper] [bibtex]

[C7] Analogy-preserving Semantic Embedding for Visual Object Categorization
Sung Ju Hwang, Kristen Grauman and Fei Sha, ICML 2013
[paper] [bibtex]

[C6] Semantic Kernel Forests from Multiple Taxonomies
Sung Ju Hwang, Kristen Grauman and Fei Sha, NIPS 2012
[paper] [bibtex]

​[C3] Sharing Features Between Objects and Their Attributes
Sung Ju Hwang, Fei Sha and Kristen Grauman, CVPR 2011
[paper] [bibtex]

[C2] Accounting for the Relative Importance of Objects in Image Retrieval
Sung Ju Hwang and Kristen Grauman, BMVC 2010 (oral presentation)
[paper] [codes&data] [bibtex]