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2020 – today
- 2024
[j7]Hoyong Jeong
, Kiwon Chung, Sung Ju Hwang, Sooel Son:
Targeted Model Inversion: Distilling style encoded in predictions. Comput. Secur. 144: 103967 (2024)- [c137]Yongrae Jo, Seongyun Lee, Minju Seo, Sung Ju Hwang, Moontae Lee:
LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs. ClinicalNLP@NAACL 2024: 635-643 - [c136]Beomyoung Kim, Joonsang Yu, Sung Ju Hwang:
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning. CVPR 2024: 3346-3356 - [c135]Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang:
DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models. ICLR 2024 - [c134]Haeyong Kang, Jaehong Yoon, Dahyun Kim, Sung Ju Hwang, Chang D. Yoo:
Progressive Fourier Neural Representation for Sequential Video Compilation. ICLR 2024 - [c133]Heejun Lee, Jina Kim, Jeffrey Willette, Sung Ju Hwang:
SEA: Sparse Linear Attention with Estimated Attention Mask. ICLR 2024 - [c132]Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang:
Self-Supervised Dataset Distillation for Transfer Learning. ICLR 2024 - [c131]Sunil Hwang, Jaehong Yoon, Youngwan Lee, Sung Ju Hwang:
EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens. ICML 2024 - [c130]Jaehyeong Jo, Sung Ju Hwang:
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes. ICML 2024 - [c129]Jaehyeong Jo, Dongki Kim, Sung Ju Hwang:
Graph Generation with Diffusion Mixture. ICML 2024 - [c128]Seul Lee, Seanie Lee, Kenji Kawaguchi, Sung Ju Hwang:
Drug Discovery with Dynamic Goal-aware Fragments. ICML 2024 - [c127]Daeun Lee, Jaehong Yoon, Sung Ju Hwang:
BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation. ICML 2024 - [c126]Jaewoo Lee, Jaehong Yoon, Wonjae Kim, Yunji Kim, Sung Ju Hwang:
STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment. ICML 2024 - [c125]Ruochen Wang, Sohyun An, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-Jui Hsieh:
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts. ICML 2024 - [c124]Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sangmin Bae, Namgyu Ho, Sung Ju Hwang, Se-Young Yun:
Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models. NAACL-HLT 2024: 5401-5415 - [c123]Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong Park:
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity. NAACL-HLT 2024: 7036-7050 - [i145]Daeun Lee, Jaehong Yoon, Sung Ju Hwang:
BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation. CoRR abs/2402.08712 (2024) - [i144]Minju Seo, Jinheon Baek, James Thorne, Sung Ju Hwang:
Retrieval-Augmented Data Augmentation for Low-Resource Domain Tasks. CoRR abs/2402.13482 (2024) - [i143]Bedionita Soro, Bruno Andreis, Hayeon Lee, Song Chong, Frank Hutter, Sung Ju Hwang:
Diffusion-based Neural Network Weights Generation. CoRR abs/2402.18153 (2024) - [i142]Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park:
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity. CoRR abs/2403.14403 (2024) - [i141]Beomyoung Kim, Joonsang Yu, Sung Ju Hwang:
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning. CoRR abs/2403.20126 (2024) - [i140]Beomyoung Kim, Donghyun Kim, Sung Ju Hwang:
Rethinking Saliency-Guided Weakly-Supervised Semantic Segmentation. CoRR abs/2404.00918 (2024) - [i139]Beomyoung Kim, Myeong-Yeon Yi, Joonsang Yu, Young Joon Yoo, Sung Ju Hwang:
Towards Label-Efficient Human Matting: A Simple Baseline for Weakly Semi-Supervised Trimap-Free Human Matting. CoRR abs/2404.00921 (2024) - [i138]Sangwon Jang, Jaehyeong Jo, Kimin Lee, Sung Ju Hwang:
Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models. CoRR abs/2404.04243 (2024) - [i137]Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, Sung Ju Hwang:
ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models. CoRR abs/2404.07738 (2024) - [i136]Yongrae Jo, Seongyun Lee, Minju Seo, Sung Ju Hwang, Moontae Lee:
LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs. CoRR abs/2405.11162 (2024) - [i135]Minseon Kim, Hyomin Lee, Boqing Gong, Huishuai Zhang, Sung Ju Hwang:
Automatic Jailbreaking of the Text-to-Image Generative AI Systems. CoRR abs/2405.16567 (2024) - [i134]Dong Bok Lee, Aoxuan Silvia Zhang, Byungjoo Kim, Junhyeon Park, Juho Lee, Sung Ju Hwang, Hae Beom Lee:
Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of Learning Curve Extrapolation. CoRR abs/2405.17918 (2024) - [i133]Youngwan Lee, Jeffrey Ryan Willette, Jonghee Kim, Sung Ju Hwang:
Visualizing the loss landscape of Self-supervised Vision Transformer. CoRR abs/2405.18042 (2024) - [i132]Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain:
Learning diverse attacks on large language models for robust red-teaming and safety tuning. CoRR abs/2405.18540 (2024) - [i131]Heejun Lee, Geon Park, Youngwan Lee, Jina Kim, Wonyoung Jeong, Myeongjae Jeon, Sung Ju Hwang:
HiP Attention: Sparse Sub-Quadratic Attention with Hierarchical Attention Pruning. CoRR abs/2406.09827 (2024) - [i130]Jaewoo Lee, Boyang Li, Sung Ju Hwang:
Concept-skill Transferability-based Data Selection for Large Vision-Language Models. CoRR abs/2406.10995 (2024) - [i129]Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park:
Database-Augmented Query Representation for Information Retrieval. CoRR abs/2406.16013 (2024) - [i128]Jeffrey Willette, Heejun Lee, Youngwan Lee, Myeongjae Jeon, Sung Ju Hwang:
Training-Free Exponential Extension of Sliding Window Context with Cascading KV Cache. CoRR abs/2406.17808 (2024) - [i127]Ruochen Wang, Sohyun An, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-Jui Hsieh:
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts. CoRR abs/2407.00256 (2024) - [i126]Hamin Koo, Minseon Kim, Sung Ju Hwang:
Optimizing Query Generation for Enhanced Document Retrieval in RAG. CoRR abs/2407.12325 (2024) - 2023
- [j6]Youngsung Kim, Yoonsuk Hyun, Jae-Joon Han, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Deep Self-Supervised Diversity Promoting Learning on Hierarchical Hyperspheres for Regularization. IEEE Access 11: 146208-146222 (2023) - [j5]Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, Sung-Ju Lee:
DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(2): 55:1-55:27 (2023) - [c122]Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, Jong Park:
Phrase Retrieval for Open Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning. ACL (Findings) 2023: 6019-6031 - [c121]Jinheon Baek, Alham Fikri Aji, Jens Lehmann, Sung Ju Hwang:
Direct Fact Retrieval from Knowledge Graphs without Entity Linking. ACL (1) 2023: 10038-10055 - [c120]Jin Myung Kwak, Minseon Kim, Sung Ju Hwang:
Language Detoxification with Attribute-Discriminative Latent Space. ACL (1) 2023: 10149-10171 - [c119]Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min:
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models. ACL (Findings) 2023: 11239-11246 - [c118]Beomyoung Kim, Joonhyun Jeong, Dongyoon Han, Sung Ju Hwang:
The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation. CVPR 2023: 11360-11370 - [c117]Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, Jong Park:
Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement. EACL 2023: 477-490 - [c116]Jinheon Baek, Soyeong Jeong, Minki Kang, Jong C. Park, Sung Ju Hwang:
Knowledge-Augmented Language Model Verification. EMNLP 2023: 1720-1736 - [c115]Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min:
Co-training and Co-distillation for Quality Improvement and Compression of Language Models. EMNLP (Findings) 2023: 7458-7467 - [c114]Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong Park:
Test-Time Self-Adaptive Small Language Models for Question Answering. EMNLP (Findings) 2023: 15459-15469 - [c113]Minki Kang, Dongchan Min, Sung Ju Hwang:
Grad-StyleSpeech: Any-Speaker Adaptive Text-to-Speech Synthesis with Diffusion Models. ICASSP 2023: 1-5 - [c112]Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang:
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models. ICCV 2023: 23195-23205 - [c111]Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo:
On the Soft-Subnetwork for Few-Shot Class Incremental Learning. ICLR 2023 - [c110]Hayeon Lee, Sohyun An, Minseon Kim, Sung Ju Hwang:
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets. ICLR 2023 - [c109]Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi:
Self-Distillation for Further Pre-training of Transformers. ICLR 2023 - [c108]Heejun Lee, Minki Kang, Youngwan Lee, Sung Ju Hwang:
Sparse Token Transformer with Attention Back Tracking. ICLR 2023 - [c107]Dong Bok Lee, Seanie Lee, Kenji Kawaguchi, Yunji Kim, Jihwan Bang, Jung-Woo Ha, Sung Ju Hwang:
Self-Supervised Set Representation Learning for Unsupervised Meta-Learning. ICLR 2023 - [c106]Youngwan Lee, Jeffrey Ryan Willette, Jonghee Kim, Juho Lee, Sung Ju Hwang:
Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders. ICLR 2023 - [c105]Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang:
Personalized Subgraph Federated Learning. ICML 2023: 1396-1415 - [c104]Byungjoo Kim, Suyoung Lee, Seanie Lee, Sooel Son, Sung Ju Hwang:
Margin-based Neural Network Watermarking. ICML 2023: 16696-16711 - [c103]Seul Lee, Jaehyeong Jo, Sung Ju Hwang:
Exploring Chemical Space with Score-based Out-of-distribution Generation. ICML 2023: 18872-18892 - [c102]Jeffrey Willette, Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang:
Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation. ICML 2023: 37008-37041 - [c101]Jaehong Yoon, Sung Ju Hwang, Yue Cao:
Continual Learners are Incremental Model Generalizers. ICML 2023: 40129-40146 - [c100]Minki Kang, Wooseok Han, Sung Ju Hwang, Eunho Yang:
ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models. INTERSPEECH 2023: 4339-4343 - [c99]Hyeonjeong Ha, Minseon Kim, Sung Ju Hwang:
Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations. NeurIPS 2023 - [c98]Sujin Jang, Dae Ung Jo, Sung Ju Hwang, Dongwook Lee, Daehyun Ji:
STXD: Structural and Temporal Cross-Modal Distillation for Multi-View 3D Object Detection. NeurIPS 2023 - [c97]Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi, Sung Ju Hwang:
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks. NeurIPS 2023 - [c96]Minseon Kim, Hyeonjeong Ha, Sooel Son, Sung Ju Hwang:
Effective Targeted Attacks for Adversarial Self-Supervised Learning. NeurIPS 2023 - [c95]Minseon Kim, Jihoon Tack, Jinwoo Shin, Sung Ju Hwang:
Rethinking the Entropy of Instance in Adversarial Training. SaTML 2023: 316-326 - [i125]Jaehyeong Jo, Dongki Kim, Sung Ju Hwang:
Graph Generation with Destination-Driven Diffusion Mixture. CoRR abs/2302.03596 (2023) - [i124]Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, Jong C. Park:
Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement. CoRR abs/2302.05137 (2023) - [i123]Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo:
Forget-free Continual Learning with Soft-Winning SubNetworks. CoRR abs/2303.14962 (2023) - [i122]Beomyoung Kim, Joonhyun Jeong, Dongyoon Han, Sung Ju Hwang:
The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation. CoRR abs/2303.15062 (2023) - [i121]Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang:
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models. CoRR abs/2304.01515 (2023) - [i120]Jinheon Baek, Alham Fikri Aji, Jens Lehmann, Sung Ju Hwang:
Direct Fact Retrieval from Knowledge Graphs without Entity Linking. CoRR abs/2305.12416 (2023) - [i119]Minki Kang, Wooseok Han, Sung Ju Hwang, Eunho Yang:
ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models. CoRR abs/2305.13831 (2023) - [i118]Bruno Andreis, Bedionita Soro, Sung Ju Hwang:
Set-based Neural Network Encoding. CoRR abs/2305.16625 (2023) - [i117]Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang:
DiffusionNAG: Task-guided Neural Architecture Generation with Diffusion Models. CoRR abs/2305.16943 (2023) - [i116]Hayeon Lee, Sohyun An, Minseon Kim, Sung Ju Hwang:
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets. CoRR abs/2305.16948 (2023) - [i115]Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min:
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models. CoRR abs/2305.18239 (2023) - [i114]Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi, Sung Ju Hwang:
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks. CoRR abs/2305.18395 (2023) - [i113]Minki Kang, Jin Myung Kwak, Jinheon Baek, Sung Ju Hwang:
Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation. CoRR abs/2305.18846 (2023) - [i112]Doyeon Kim, Eunji Ko, Hyunsu Kim, Yunji Kim, Junho Kim, Dongchan Min, Junmo Kim, Sung Ju Hwang:
Context-Preserving Two-Stage Video Domain Translation for Portrait Stylization. CoRR abs/2305.19135 (2023) - [i111]Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, Jong C. Park:
Phrase Retrieval for Open-Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning. CoRR abs/2306.04293 (2023) - [i110]Hyeonjeong Ha, Minseon Kim, Sung Ju Hwang:
Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations. CoRR abs/2306.05031 (2023) - [i109]Haeyong Kang, Dahyun Kim, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo:
Progressive Neural Representation for Sequential Video Compilation. CoRR abs/2306.11305 (2023) - [i108]Jaehong Yoon, Sung Ju Hwang, Yue Cao:
Continual Learners are Incremental Model Generalizers. CoRR abs/2306.12026 (2023) - [i107]Seul Lee, Seanie Lee, Sung Ju Hwang:
Drug Discovery with Dynamic Goal-aware Fragments. CoRR abs/2310.00841 (2023) - [i106]Heejun Lee, Jina Kim, Jeffrey Willette, Sung Ju Hwang:
SEA: Sparse Linear Attention with Estimated Attention Mask. CoRR abs/2310.01777 (2023) - [i105]Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang:
Self-Supervised Dataset Distillation for Transfer Learning. CoRR abs/2310.06511 (2023) - [i104]Jaehyeong Jo, Sung Ju Hwang:
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes. CoRR abs/2310.07216 (2023) - [i103]Jaewoo Lee, Jaehong Yoon, Wonjae Kim, Yunji Kim, Sung Ju Hwang:
STELLA: Continual Audio-Video Pre-training with Spatio-Temporal Localized Alignment. CoRR abs/2310.08204 (2023) - [i102]Jinheon Baek, Soyeong Jeong, Minki Kang, Jong C. Park, Sung Ju Hwang:
Knowledge-Augmented Language Model Verification. CoRR abs/2310.12836 (2023) - [i101]Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park:
Test-Time Self-Adaptive Small Language Models for Question Answering. CoRR abs/2310.13307 (2023) - [i100]Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min:
Co-training and Co-distillation for Quality Improvement and Compression of Language Models. CoRR abs/2311.02849 (2023) - [i99]Jin Myung Kwak, Minseon Kim, Sung Ju Hwang:
Context-dependent Instruction Tuning for Dialogue Response Generation. CoRR abs/2311.07006 (2023) - [i98]Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sung Ju Hwang, Se-young Yun:
Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models. CoRR abs/2311.08106 (2023) - [i97]Youngwan Lee, Kwanyong Park, Yoorhim Cho, Yong-Ju Lee, Sung Ju Hwang:
KOALA: Self-Attention Matters in Knowledge Distillation of Latent Diffusion Models for Memory-Efficient and Fast Image Synthesis. CoRR abs/2312.04005 (2023) - [i96]Taewook Nam, Juyong Lee, Jesse Zhang, Sung Ju Hwang, Joseph J. Lim, Karl Pertsch:
LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers. CoRR abs/2312.08958 (2023) - [i95]Haeyong Kang, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo:
Continual Learning: Forget-free Winning Subnetworks for Video Representations. CoRR abs/2312.11973 (2023) - 2022
- [j4]Youngbum Hur, Eunho Yang, Sung Ju Hwang:
A Simple Framework for Robust Out-of-Distribution Detection. IEEE Access 10: 23086-23097 (2022) - [j3]Hanze Dong, Yanwei Fu, Sung Ju Hwang, Leonid Sigal, Xiangyang Xue:
Learning the Compositional Domains for Generalized Zero-shot Learning. Comput. Vis. Image Underst. 221: 103454 (2022) - [c94]Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. AAAI 2022: 7957-7965 - [c93]Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin:
Consistency Regularization for Adversarial Robustness. AAAI 2022: 8414-8422 - [c92]Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park:
Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation. ACL (2) 2022: 442-452 - [c91]Youngwan Lee, Jonghee Kim, Jeffrey Willette, Sung Ju Hwang:
MPViT: Multi-Path Vision Transformer for Dense Prediction. CVPR 2022: 7277-7286 - [c90]Youngwan Lee, Joong-Won Hwang, Hyung-Il Kim, Kimin Yun, Yongjin Kwon, Yuseok Bae, Sung Ju Hwang:
Localization Uncertainty Estimation for Anchor-Free Object Detection. ECCV Workshops (8) 2022: 27-42 - [c89]Geon Park, Jaehong Yoon, Haiyang Zhang, Xing Zhang, Sung Ju Hwang, Yonina C. Eldar:
BiTAT: Neural Network Binarization with Task-Dependent Aggregated Transformation. ECCV Workshops (7) 2022: 50-66 - [c88]Jongha Kim, Jinheon Baek, Sung Ju Hwang:
Object Detection in Aerial Images with Uncertainty-Aware Graph Network. ECCV Workshops (4) 2022: 521-536 - [c87]Seanie Lee, Haebeom Lee, Juho Lee, Sung Ju Hwang:
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning. ICLR 2022 - [c86]Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang:
Online Hyperparameter Meta-Learning with Hypergradient Distillation. ICLR 2022 - [c85]Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang:
Representational Continuity for Unsupervised Continual Learning. ICLR 2022 - [c84]Taewook Nam, Shao-Hua Sun, Karl Pertsch, Sung Ju Hwang, Joseph J. Lim:
Skill-based Meta-Reinforcement Learning. ICLR 2022 - [c83]Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Model-augmented Prioritized Experience Replay. ICLR 2022 - [c82]Jeffrey Ryan Willette, Hae Beom Lee, Juho Lee, Sung Ju Hwang:
Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty. ICLR 2022 - [c81]Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang:
Online Coreset Selection for Rehearsal-based Continual Learning. ICLR 2022 - [c80]Bruno Andreis, Seanie Lee, Tuan A. Nguyen, Juho Lee, Eunho Yang, Sung Ju Hwang:
Set Based Stochastic Subsampling. ICML 2022: 619-638 - [c79]Jaehyeong Jo, Seul Lee, Sung Ju Hwang:
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations. ICML 2022: 10362-10383 - [c78]Haeyong Kang, Rusty John Lloyd Mina, Sultan Rizky Hikmawan Madjid, Jaehong Yoon, Mark Hasegawa-Johnson, Sung Ju Hwang, Chang D. Yoo:
Forget-free Continual Learning with Winning Subnetworks. ICML 2022: 10734-10750 - [c77]Jaehong Yoon, Geon Park, Wonyong Jeong, Sung Ju Hwang:
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization. ICML 2022: 25552-25565 - [c76]Minki Kang, Jinheon Baek, Sung Ju Hwang:
KALA: Knowledge-Augmented Language Model Adaptation. NAACL-HLT 2022: 5144-5167 - [c75]Wonyong Jeong, Sung Ju Hwang:
Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching. NeurIPS 2022 - [c74]Hoyong Jeong, Suyoung Lee, Sung Ju Hwang, Sooel Son:
Learning to Generate Inversion-Resistant Model Explanations. NeurIPS 2022 - [c73]Dongki Kim, Jinheon Baek, Sung Ju Hwang:
Graph Self-supervised Learning with Accurate Discrepancy Learning. NeurIPS 2022 - [c72]Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang:
Set-based Meta-Interpolation for Few-Task Meta-Learning. NeurIPS 2022 - [i94]Wonyong Jeong, Sung Ju Hwang:
Factorized-FL: Agnostic Personalized Federated Learning with Kernel Factorization & Similarity Matching. CoRR abs/2202.00270 (2022) - [i93]Jaehyeong Jo, Seul Lee, Sung Ju Hwang:
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations. CoRR abs/2202.02514 (2022) - [i92]Dongki Kim, Jinheon Baek, Sung Ju Hwang:
Graph Self-supervised Learning with Accurate Discrepancy Learning. CoRR abs/2202.02989 (2022) - [i91]Jaehong Yoon, Geon Park, Wonyong Jeong, Sung Ju Hwang:
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization. CoRR abs/2202.11453 (2022) - [i90]Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park:
Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation. CoRR abs/2203.07735 (2022) - [i89]Minki Kang, Jinheon Baek, Sung Ju Hwang:
KALA: Knowledge-Augmented Language Model Adaptation. CoRR abs/2204.10555 (2022) - [i88]Taewook Nam, Shao-Hua Sun, Karl Pertsch, Sung Ju Hwang, Joseph J. Lim:
Skill-based Meta-Reinforcement Learning. CoRR abs/2204.11828 (2022) - [i87]Seanie Lee, Andreis Bruno, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang:
Set-based Meta-Interpolation for Few-Task Meta-Learning. CoRR abs/2205.09990 (2022) - [i86]Seul Lee, Jaehyeong Jo, Sung Ju Hwang:
Exploring Chemical Space with Score-based Out-of-distribution Generation. CoRR abs/2206.07632 (2022) - [i85]Hyunsu Rhee, Dongchan Min, Sunil Hwang, Bruno Andreis, Sung Ju Hwang:
Distortion-Aware Network Pruning and Feature Reuse for Real-time Video Segmentation. CoRR abs/2206.09604 (2022) - [i84]Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang:
Personalized Subgraph Federated Learning. CoRR abs/2206.10206 (2022) - [i83]Geon Park, Jaehong Yoon, Haiyang Zhang, Xing Zhang, Sung Ju Hwang, Yonina C. Eldar:
BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation. CoRR abs/2207.01394 (2022) - [i82]Hae Beom Lee, Dong Bok Lee, Sung Ju Hwang:
Dataset Condensation with Latent Space Knowledge Factorization and Sharing. CoRR abs/2208.10494 (2022) - [i81]Jongha Kim, Jinheon Baek, Sung Ju Hwang:
Object Detection in Aerial Images with Uncertainty-Aware Graph Network. CoRR abs/2208.10781 (2022) - [i80]Dongchan Min, Minyoung Song, Sung Ju Hwang:
StyleTalker: One-shot Style-based Audio-driven Talking Head Video Generation. CoRR abs/2208.10922 (2022) - [i79]Jeffrey Willette, Andreis Bruno, Juho Lee, Sung Ju Hwang:
Universal Mini-Batch Consistency for Set Encoding Functions. CoRR abs/2208.12401 (2022) - [i78]Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo:
On the Soft-Subnetwork for Few-shot Class Incremental Learning. CoRR abs/2209.07529 (2022) - [i77]Youngwan Lee, Jeffrey Willette, Jonghee Kim, Juho Lee, Sung Ju Hwang:
Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders. CoRR abs/2210.02077 (2022) - [i76]Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi:
Self-Distillation for Further Pre-training of Transformers. CoRR abs/2210.02871 (2022) - [i75]Jin Myung Kwak, Minseon Kim, Sung Ju Hwang:
Language Detoxification with Attribute-Discriminative Latent Space. CoRR abs/2210.10329 (2022) - [i74]Minseon Kim, Hyeonjeong Ha, Sooel Son, Sung Ju Hwang:
Targeted Adversarial Self-Supervised Learning. CoRR abs/2210.10482 (2022) - [i73]Minseon Kim, Hyeonjeong Ha, Sung Ju Hwang:
Few-shot Transferable Robust Representation Learning via Bilevel Attacks. CoRR abs/2210.10485 (2022) - [i72]Minki Kang, Dongchan Min, Sung Ju Hwang:
Any-speaker Adaptive Text-To-Speech Synthesis with Diffusion Models. CoRR abs/2211.09383 (2022) - [i71]Sunil Hwang, Jaehong Yoon, Youngwan Lee, Sung Ju Hwang:
Efficient Video Representation Learning via Masked Video Modeling with Motion-centric Token Selection. CoRR abs/2211.10636 (2022) - 2021
- [c71]Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
GTA: Graph Truncated Attention for Retrosynthesis. AAAI 2021: 531-539 - [c70]Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang:
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. AAAI 2021: 9081-9091 - [c69]Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang:
Learning to Perturb Word Embeddings for Out-of-distribution QA. ACL/IJCNLP (1) 2021: 5583-5595 - [c68]Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang:
Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss. ICCV 2021: 5350-5359 - [c67]Jinheon Baek, Minki Kang, Sung Ju Hwang:
Accurate Learning of Graph Representations with Graph Multiset Pooling. ICLR 2021 - [c66]Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang:
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning. ICLR 2021 - [c65]Hayeon Lee, Eunyoung Hyung, Sung Ju Hwang:
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets. ICLR 2021 - [c64]Seanie Lee, Dong Bok Lee, Sung Ju Hwang:
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation. ICLR 2021 - [c63]Dong Bok Lee, Dongchan Min, Seanie Lee, Sung Ju Hwang:
Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning. ICLR 2021 - [c62]Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Learning to Sample with Local and Global Contexts in Experience Replay Buffer. ICLR 2021 - [c61]Tehrim Yoon, Sumin Shin, Sung Ju Hwang, Eunho Yang:
FedMix: Approximation of Mixup under Mean Augmented Federated Learning. ICLR 2021 - [c60]Divyam Madaan, Jinwoo Shin, Sung Ju Hwang:
Learning to Generate Noise for Multi-Attack Robustness. ICML 2021: 7279-7289 - [c59]Dongchan Min, Dong Bok Lee, Eunho Yang, Sung Ju Hwang:
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation. ICML 2021: 7748-7759 - [c58]Jaewoong Shin, Haebeom Lee, Boqing Gong, Sung Ju Hwang:
Large-Scale Meta-Learning with Continual Trajectory Shifting. ICML 2021: 9603-9613 - [c57]Jongmin Yoon, Sung Ju Hwang, Juho Lee:
Adversarial Purification with Score-based Generative Models. ICML 2021: 12062-12072 - [c56]Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang:
Federated Continual Learning with Weighted Inter-client Transfer. ICML 2021: 12073-12086 - [c55]Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. IJCAI 2021: 2673-2679 - [c54]Ho-Gyeong Kim, Min-Joong Lee, Hoshik Lee, Tae Gyoon Kang, Jihyun Lee, Eunho Yang, Sung Ju Hwang:
Multi-Domain Knowledge Distillation via Uncertainty-Matching for End-to-End ASR Models. Interspeech 2021: 2531-2535 - [c53]Jaehyeong Jo, Jinheon Baek, Seul Lee, Dongki Kim, Minki Kang, Sung Ju Hwang:
Edge Representation Learning with Hypergraphs. NeurIPS 2021: 7534-7546 - [c52]Soojung Yang, Doyeong Hwang, Seul Lee, Seongok Ryu, Sung Ju Hwang:
Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation. NeurIPS 2021: 7924-7936 - [c51]Wonyong Jeong, Hayeon Lee, Geon Park, Eunyoung Hyung, Jinheon Baek, Sung Ju Hwang:
Task-Adaptive Neural Network Search with Meta-Contrastive Learning. NeurIPS 2021: 21310-21324 - [c50]Andreis Bruno, Jeffrey Willette, Juho Lee, Sung Ju Hwang:
Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding. NeurIPS 2021: 21365-21374 - [c49]Hayeon Lee, Sewoong Lee, Song Chong, Sung Ju Hwang:
Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning. NeurIPS 2021: 27016-27028 - [i70]Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Model-Augmented Q-learning. CoRR abs/2102.03866 (2021) - [i69]Jaewoong Shin, Haebeom Lee, Boqing Gong, Sung Ju Hwang:
Large-Scale Meta-Learning with Continual Trajectory Shifting. CoRR abs/2102.07215 (2021) - [i68]Jeffrey Willette, Juho Lee, Sung Ju Hwang:
Improving Uncertainty Calibration via Prior Augmented Data. CoRR abs/2102.10803 (2021) - [i67]Jinheon Baek, Minki Kang, Sung Ju Hwang:
Accurate Learning of Graph Representations with Graph Multiset Pooling. CoRR abs/2102.11533 (2021) - [i66]Wonyong Jeong, Hayeon Lee, Gun Park, Eunyoung Hyung, Jinheon Baek, Sung Ju Hwang:
Task-Adaptive Neural Network Retrieval with Meta-Contrastive Learning. CoRR abs/2103.01495 (2021) - [i65]Andreis Bruno, Jeffrey Willette, Juho Lee, Sung Ju Hwang:
Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding. CoRR abs/2103.01615 (2021) - [i64]Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin:
Consistency Regularization for Adversarial Robustness. CoRR abs/2103.04623 (2021) - [i63]Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Sung Ju Hwang, Eunho Yang, Jinwoo Shin:
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. CoRR abs/2105.00795 (2021) - [i62]Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang:
Learning to Perturb Word Embeddings for Out-of-distribution QA. CoRR abs/2105.02692 (2021) - [i61]Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang:
Online Coreset Selection for Rehearsal-based Continual Learning. CoRR abs/2106.01085 (2021) - [i60]Dongchan Min, Dong Bok Lee, Eunho Yang, Sung Ju Hwang:
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation. CoRR abs/2106.03153 (2021) - [i59]Jongmin Yoon, Sung Ju Hwang, Juho Lee:
Adversarial purification with Score-based generative models. CoRR abs/2106.06041 (2021) - [i58]Hayeon Lee, Sewoong Lee, Song Chong, Sung Ju Hwang:
HELP: Hardware-Adaptive Efficient Latency Predictor for NAS via Meta-Learning. CoRR abs/2106.08630 (2021) - [i57]Jaehyeong Jo, Jinheon Baek, Seul Lee, Dongki Kim, Minki Kang, Sung Ju Hwang:
Edge Representation Learning with Hypergraphs. CoRR abs/2106.15845 (2021) - [i56]Tehrim Yoon, Sumin Shin, Sung Ju Hwang, Eunho Yang:
FedMix: Approximation of Mixup under Mean Augmented Federated Learning. CoRR abs/2107.00233 (2021) - [i55]Hayeon Lee, Eunyoung Hyung, Sung Ju Hwang:
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets. CoRR abs/2107.00860 (2021) - [i54]Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang:
Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss. CoRR abs/2109.02100 (2021) - [i53]Soojung Yang, Doyeong Hwang, Seul Lee, Seongok Ryu, Sung Ju Hwang:
Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation. CoRR abs/2110.01219 (2021) - [i52]Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang:
Online Hyperparameter Meta-Learning with Hypergradient Distillation. CoRR abs/2110.02508 (2021) - [i51]Seanie Lee, Haebeom Lee, Juho Lee, Sung Ju Hwang:
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning. CoRR abs/2110.02600 (2021) - [i50]Jeffrey Ryan Willette, Haebeom Lee, Juho Lee, Sung Ju Hwang:
Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty. CoRR abs/2110.06381 (2021) - [i49]Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang:
Rethinking the Representational Continuity: Towards Unsupervised Continual Learning. CoRR abs/2110.06976 (2021) - [i48]Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, Sung-Ju Lee:
DAPPER: Performance Estimation of Domain Adaptation in Mobile Sensing. CoRR abs/2111.11053 (2021) - [i47]Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. CoRR abs/2112.08796 (2021) - [i46]Youngwan Lee, Jonghee Kim, Jeffrey Willette, Sung Ju Hwang:
MPViT: Multi-Path Vision Transformer for Dense Prediction. CoRR abs/2112.11010 (2021) - 2020
- [c48]Ingyo Chung, Saehoon Kim, Juho Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang:
Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare. AAAI 2020: 3649-3657 - [c47]Dong Bok Lee, Seanie Lee, Woo Tae Jeong, Donghwan Kim, Sung Ju Hwang:
Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs. ACL 2020: 208-224 - [c46]Minki Kang, Moonsu Han, Sung Ju Hwang:
Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation. EMNLP (1) 2020: 6102-6120 - [c45]Haebeom Lee, Hayeon Lee, Donghyun Na, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang:
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. ICLR 2020 - [c44]Haebeom Lee, Taewook Nam, Eunho Yang, Sung Ju Hwang:
Meta Dropout: Learning to Perturb Latent Features for Generalization. ICLR 2020 - [c43]Joonyoung Yi, Juhyuk Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang:
Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks. ICLR 2020 - [c42]Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang:
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition. ICLR 2020 - [c41]Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang:
Cost-Effective Interactive Attention Learning with Neural Attention Processes. ICML 2020: 4228-4238 - [c40]Hankook Lee, Sung Ju Hwang, Jinwoo Shin:
Self-supervised Label Augmentation via Input Transformations. ICML 2020: 5714-5724 - [c39]Divyam Madaan, Jinwoo Shin, Sung Ju Hwang:
Adversarial Neural Pruning with Latent Vulnerability Suppression. ICML 2020: 6575-6585 - [c38]Seong-Jin Park, Seungju Han, Ji-Won Baek, Insoo Kim, Juhwan Song, Haebeom Lee, Jae-Joon Han, Sung Ju Hwang:
Meta Variance Transfer: Learning to Augment from the Others. ICML 2020: 7510-7520 - [c37]Dokwan Oh, Daehyun Ji, Cheolhun Jang, Yoonsuk Hyun, Hong S. Bae, Sung Ju Hwang:
Segmenting 2K-Videos at 36.5 FPS with 24.3 GFLOPs: Accurate and Lightweight Realtime Semantic Segmentation Network. ICRA 2020: 3153-3160 - [c36]Seong Min Kye, Youngmoon Jung, Haebeom Lee, Sung Ju Hwang, Hoirin Kim:
Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs. INTERSPEECH 2020: 2982-2986 - [c35]Jinheon Baek, Dong Bok Lee, Sung Ju Hwang:
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction. NeurIPS 2020 - [c34]In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Time-Reversal Symmetric ODE Network. NeurIPS 2020 - [c33]Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning. NeurIPS 2020 - [c32]Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning. NeurIPS 2020 - [c31]Minseon Kim, Jihoon Tack, Sung Ju Hwang:
Adversarial Self-Supervised Contrastive Learning. NeurIPS 2020 - [c30]Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi:
Neural Complexity Measures. NeurIPS 2020 - [c29]Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh:
Bootstrapping neural processes. NeurIPS 2020 - [c28]Geondo Park, June Yong Yang, Sung Ju Hwang, Eunho Yang:
Attribution Preservation in Network Compression for Reliable Network Interpretation. NeurIPS 2020 - [c27]Jeongun Ryu, Jaewoong Shin, Haebeom Lee, Sung Ju Hwang:
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures. NeurIPS 2020 - [i45]Seong Min Kye, Haebeom Lee, Hoirin Kim, Sung Ju Hwang:
Transductive Few-shot Learning with Meta-Learned Confidence. CoRR abs/2002.12017 (2020) - [i44]Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang:
Federated Continual Learning with Adaptive Parameter Communication. CoRR abs/2003.03196 (2020) - [i43]Seong Min Kye, Youngmoon Jung, Haebeom Lee, Sung Ju Hwang, Hoirin Kim:
Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs. CoRR abs/2004.02863 (2020) - [i42]Dong Bok Lee, Seanie Lee, Woo Tae Jeong, Donghwan Kim, Sung Ju Hwang:
Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs. CoRR abs/2005.13837 (2020) - [i41]Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang:
Cost-effective Interactive Attention Learning with Neural Attention Processes. CoRR abs/2006.05419 (2020) - [i40]Jinheon Baek, Dong Bok Lee, Sung Ju Hwang:
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction. CoRR abs/2006.06648 (2020) - [i39]Jeongun Ryu, Jaewoong Shin, Haebeom Lee, Sung Ju Hwang:
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures. CoRR abs/2006.07540 (2020) - [i38]Minseon Kim, Jihoon Tack, Sung Ju Hwang:
Adversarial Self-Supervised Contrastive Learning. CoRR abs/2006.07589 (2020) - [i37]Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang:
Federated Semi-Supervised Learning with Inter-Client Consistency. CoRR abs/2006.12097 (2020) - [i36]Divyam Madaan, Jinwoo Shin, Sung Ju Hwang:
Learning to Generate Noise for Robustness against Multiple Perturbations. CoRR abs/2006.12135 (2020) - [i35]Minyoung Song, Jaehong Yoon, Eunho Yang, Sung Ju Hwang:
Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning. CoRR abs/2006.12139 (2020) - [i34]Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang:
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. CoRR abs/2006.12777 (2020) - [i33]Tuan A. Nguyen, Andreis Bruno, Juho Lee, Eunho Yang, Sung Ju Hwang:
Stochastic Subset Selection. CoRR abs/2006.14222 (2020) - [i32]Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Learning to Sample with Local and Global Contexts in Experience Replay Buffer. CoRR abs/2007.07358 (2020) - [i31]Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning. CoRR abs/2007.08844 (2020) - [i30]In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Time-Reversal Symmetric ODE Network. CoRR abs/2007.11362 (2020) - [i29]Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Few-shot Visual Reasoning with Meta-analogical Contrastive Learning. CoRR abs/2007.12020 (2020) - [i28]Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi:
Neural Complexity Measures. CoRR abs/2008.02953 (2020) - [i27]Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh:
Bootstrapping Neural Processes. CoRR abs/2008.02956 (2020) - [i26]Minki Kang, Moonsu Han, Sung Ju Hwang:
Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation. CoRR abs/2010.02705 (2020) - [i25]Geondo Park, June Yong Yang, Sung Ju Hwang, Eunho Yang:
Attribution Preservation in Network Compression for Reliable Network Interpretation. CoRR abs/2010.15054 (2020) - [i24]Byunggill Joe, Jihun Hamm, Sung Ju Hwang, Sooel Son, Insik Shin:
Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection. CoRR abs/2012.03483 (2020) - [i23]Seanie Lee, Dong Bok Lee, Sung Ju Hwang:
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation. CoRR abs/2012.07280 (2020)
2010 – 2019
- 2019
- [c26]Moonsu Han, Minki Kang, Hyunwoo Jung, Sung Ju Hwang:
Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data. ACL (1) 2019: 4407-4417 - [c25]Sangil Jung, Changyong Son, Seohyung Lee, JinWoo Son, Jae-Joon Han, Youngjun Kwak, Sung Ju Hwang, Changkyu Choi:
Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss. CVPR 2019: 4350-4359 - [c24]Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Eunho Yang, Sung Ju Hwang, Yi Yang:
Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning. ICLR (Poster) 2019 - [c23]Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin:
Learning What and Where to Transfer. ICML 2019: 3030-3039 - [i22]Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang:
ORACLE: Order Robust Adaptive Continual LEarning. CoRR abs/1902.09432 (2019) - [i21]Moonsu Han, Minki Kang, Hyunwoo Jung, Sung Ju Hwang:
Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data. CoRR abs/1903.06164 (2019) - [i20]Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin:
Learning What and Where to Transfer. CoRR abs/1905.05901 (2019) - [i19]Haebeom Lee, Taewook Nam, Eunho Yang, Sung Ju Hwang:
Meta Dropout: Learning to Perturb Features for Generalization. CoRR abs/1905.12914 (2019) - [i18]Donghyun Na, Haebeom Lee, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang:
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. CoRR abs/1905.12917 (2019) - [i17]Joonyoung Yi, Juhyuk Lee, Sung Ju Hwang, Eunho Yang:
Sparsity Normalization: Stabilizing the Expected Outputs of Deep Networks. CoRR abs/1906.00150 (2019) - [i16]Sungyub Kim, Yongsu Baek, Sung Ju Hwang, Eunho Yang:
Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck. CoRR abs/1906.03118 (2019) - [i15]Hayeon Lee, Donghyun Na, Haebeom Lee, Sung Ju Hwang:
Learning to Generalize to Unseen Tasks with Bilevel Optimization. CoRR abs/1908.01457 (2019) - [i14]Divyam Madaan, Sung Ju Hwang:
Adversarial Neural Pruning. CoRR abs/1908.04355 (2019) - [i13]Byunggill Joe, Sung Ju Hwang, Insik Shin:
Learning to Disentangle Robust and Vulnerable Features for Adversarial Detection. CoRR abs/1909.04311 (2019) - [i12]Hankook Lee, Sung Ju Hwang, Jinwoo Shin:
Rethinking Data Augmentation: Self-Supervision and Self-Distillation. CoRR abs/1910.05872 (2019) - 2018
- [c22]Jaehong Yoon, Eunho Yang, Jeongtae Lee, Sung Ju Hwang:
Lifelong Learning with Dynamically Expandable Networks. ICLR (Poster) 2018 - [c21]Haebeom Lee, Eunho Yang, Sung Ju Hwang:
Deep Asymmetric Multi-task Feature Learning. ICML 2018: 2962-2970 - [c20]Andries Bruno, Junhyeon Park, Sung Ju Hwang, Minwoo Kim:
Dynamic Detection-Tracking Switching. ICUFN 2018: 64-69 - [c19]Jay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang:
Uncertainty-Aware Attention for Reliable Interpretation and Prediction. NeurIPS 2018: 917-926 - [c18]Haebeom Lee, Juho Lee, Saehoon Kim, Eunho Yang, Sung Ju Hwang:
DropMax: Adaptive Variational Softmax. NeurIPS 2018: 927-937 - [c17]Hajin Shim, Sung Ju Hwang, Eunho Yang:
Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding. NeurIPS 2018: 1375-1385 - [i11]Jay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang:
Uncertainty-Aware Attention for Reliable Interpretation and Prediction. CoRR abs/1805.09653 (2018) - [i10]Juho Lee, Saehoon Kim, Jaehong Yoon, Haebeom Lee, Eunho Yang, Sung Ju Hwang:
Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout. CoRR abs/1805.10896 (2018) - [i9]Ingyo Chung, Saehoon Kim, Juho Lee, Sung Ju Hwang, Eunho Yang:
Mixed Effect Composite RNN-GP: A Personalized and Reliable Prediction Model for Healthcare. CoRR abs/1806.01551 (2018) - [i8]Hanze Dong, Yanwei Fu, Leonid Sigal, Sung Ju Hwang, Yu-Gang Jiang, Xiangyang Xue:
Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective. CoRR abs/1810.07368 (2018) - [i7]Hyunwoo Jung, Moonsu Han, Minki Kang, Sung Ju Hwang:
Learning What to Remember: Long-term Episodic Memory Networks for Learning from Streaming Data. CoRR abs/1812.04227 (2018) - 2017
- [c16]Juyong Kim, Yookoon Park, Gunhee Kim, Sung Ju Hwang:
SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization. ICML 2017: 1866-1874 - [c15]Jaehong Yoon, Sung Ju Hwang:
Combined Group and Exclusive Sparsity for Deep Neural Networks. ICML 2017: 3958-3966 - [i6]Haebeom Lee, Eunho Yang, Sung Ju Hwang:
Deep Asymmetric Multi-task Feature Learning. CoRR abs/1708.00260 (2017) - [i5]Jeongtae Lee, Jaehong Yoon, Eunho Yang, Sung Ju Hwang:
Lifelong Learning with Dynamically Expandable Networks. CoRR abs/1708.01547 (2017) - [i4]Hajin Shim, Sung Ju Hwang, Eunho Yang:
Why Pay More When You Can Pay Less: A Joint Learning Framework for Active Feature Acquisition and Classification. CoRR abs/1709.05964 (2017) - [i3]Haebeom Lee, Juho Lee, Eunho Yang, Sung Ju Hwang:
DropMax: Adaptive Stochastic Softmax. CoRR abs/1712.07834 (2017) - 2016
- [c14]Jonghyun Choi, Sung Ju Hwang, Leonid Sigal, Larry S. Davis:
Knowledge Transfer with Interactive Learning of Semantic Relationships. AAAI 2016: 1505-1511 - [c13]Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, Leonid Sigal:
Exploiting View-Specific Appearance Similarities Across Classes for Zero-Shot Pose Prediction: A Metric Learning Approach. AAAI 2016: 3523-3529 - [c12]Wonjoon Goo, Juyong Kim, Gunhee Kim, Sung Ju Hwang:
Taxonomy-Regularized Semantic Deep Convolutional Neural Networks. ECCV (2) 2016: 86-101 - [c11]Giwoong Lee, Eunho Yang, Sung Ju Hwang:
Asymmetric Multi-task Learning based on Task Relatedness and Confidence. ICML 2016: 230-238 - 2015
- [c10]Sung Ju Hwang, Leonid Sigal:
A Unified Semantic Embedding: Relating Taxonomies and Attributes. AAAI Spring Symposia 2015 - [c9]Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, Leonid Sigal:
Expanding object detector's Horizon: Incremental learning framework for object detection in videos. CVPR 2015: 28-36 - [i2]Guang-Tong Zhou, Sung Ju Hwang, Mark Schmidt, Leonid Sigal, Greg Mori:
Hierarchical Maximum-Margin Clustering. CoRR abs/1502.01827 (2015) - 2014
- [c8]Sung Ju Hwang, Leonid Sigal:
A Unified Semantic Embedding: Relating Taxonomies and Attributes. NIPS 2014: 271-279 - [i1]Sung Ju Hwang, Leonid Sigal:
A Unified Semantic Embedding: Relating Taxonomies and Attributes. CoRR abs/1411.5879 (2014) - 2013
- [c7]Sung Ju Hwang, Kristen Grauman, Fei Sha:
Analogy-preserving Semantic Embedding for Visual Object Categorization. ICML (3) 2013: 639-647 - 2012
- [j2]Sung Ju Hwang, Kristen Grauman:
Learning the Relative Importance of Objects from Tagged Images for Retrieval and Cross-Modal Search. Int. J. Comput. Vis. 100(2): 134-153 (2012) - [j1]Sung Ju Hwang, Kristen Grauman:
Reading between the Lines: Object Localization Using Implicit Cues from Image Tags. IEEE Trans. Pattern Anal. Mach. Intell. 34(6): 1145-1158 (2012) - [c6]Sung Ju Hwang, Ashish Kapoor, Sing Bing Kang:
Context-Based Automatic Local Image Enhancement. ECCV (1) 2012: 569-582 - [c5]Sung Ju Hwang, Kristen Grauman, Fei Sha:
Semantic Kernel Forests from Multiple Taxonomies. NIPS 2012: 1727-1735 - 2011
- [c4]Sung Ju Hwang, Fei Sha, Kristen Grauman:
Sharing features between objects and their attributes. CVPR 2011: 1761-1768 - [c3]Sung Ju Hwang, Kristen Grauman, Fei Sha:
Learning a Tree of Metrics with Disjoint Visual Features. NIPS 2011: 621-629 - 2010
- [c2]Sung Ju Hwang, Kristen Grauman:
Accounting for the Relative Importance of Objects in Image Retrieval. BMVC 2010: 1-12 - [c1]Sung Ju Hwang, Kristen Grauman:
Reading between the lines: Object localization using implicit cues from image tags. CVPR 2010: 2971-2978
Coauthor Index
Jeffrey Willette
aka: Jeffrey Ryan Willette
aka: Jeffrey Ryan Willette
[j6] [c100] [i119] [j4] [c94] [c86] [c83] [c81] [c80] [c71] [c70] [c68] [c66] [c62] [c61] [c59] [c56] [c55] [c54] [i70] [i63] [i61] [i60] [i56] [i54] [i52] [i47] [c48] [c45] [c44] [c43] [c42] [c41] [c34] [c33] [c32] [c30] [c29] [c28] [i44] [i41] [i37] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i25] [c24] [i22] [i19] [i18] [i17] [i16] [c22] [c21] [c19] [c18] [c17] [i11] [i10] [i9] [i6] [i5] [i4] [i3] [c11]
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