Hwang, Sung Ju

149 publications

ICLR 2025 A Training-Free Sub-Quadratic Cost Transformer Model Serving Framework with Hierarchically Pruned Attention Heejun Lee, Geon Park, Youngwan Lee, Jaduk Suh, Jina Kim, Wonyong Jeong, Bumsik Kim, Hyemin Lee, Myeongjae Jeon, Sung Ju Hwang

ICML 2025 AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML Patara Trirat, Wonyong Jeong, Sung Ju Hwang

ICML 2025 Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks Dongwoo Lee, Dong Bok Lee, Steven Adriaensen, Juho Lee, Sung Ju Hwang, Frank Hutter, Seon Joo Kim, Hae Beom Lee

NeurIPS 2025 Continuous Diffusion Model for Language Modeling Jaehyeong Jo, Sung Ju Hwang

NeurIPS 2025 Cost-Sensitive Freeze-Thaw Bayesian Optimization for Efficient Hyperparameter Tuning Dong Bok Lee, Aoxuan Silvia Zhang, Byungjoo Kim, Junhyeon Park, Steven Adriaensen, Juho Lee, Sung Ju Hwang, Hae Beom Lee

NeurIPS 2025 Delta Attention: Fast and Accurate Sparse Attention Inference by Delta Correction Jeffrey Willette, Heejun Lee, Sung Ju Hwang

ICLR 2025 Diffusion-Based Neural Network Weights Generation Bedionita Soro, Bruno Andreis, Hayeon Lee, Wonyong Jeong, Song Chong, Frank Hutter, Sung Ju Hwang

NeurIPS 2025 Distilling LLM Agent into Small Models with Retrieval and Code Tools Minki Kang, Jongwon Jeong, Seanie Lee, Jaewoong Cho, Sung Ju Hwang

NeurIPS 2025 FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA Seanie Lee, Sangwoo Park, Dong Bok Lee, Dominik Wagner, Haebin Seong, Tobias Bocklet, Juho Lee, Sung Ju Hwang

ICLR 2025 HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models Seanie Lee, Haebin Seong, Dong Bok Lee, Minki Kang, Xiaoyin Chen, Dominik Wagner, Yoshua Bengio, Juho Lee, Sung Ju Hwang

ICLRW 2025 Instruction-Guided Autoregressive Neural Network Parameter Generation Bedionita Soro, Bruno Andreis, Song Chong, Sung Ju Hwang

ICLR 2025 Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain

NeurIPS 2025 Mol-Llama: Towards General Understanding of Molecules in Large Molecular Language Model Dongki Kim, Wonbin Lee, Sung Ju Hwang

CVPR 2025 Silent Branding Attack: Trigger-Free Data Poisoning Attack on Text-to-Image Diffusion Models Sangwon Jang, June Suk Choi, Jaehyeong Jo, Kimin Lee, Sung Ju Hwang

NeurIPS 2025 System Prompt Optimization with Meta-Learning Yumin Choi, Jinheon Baek, Sung Ju Hwang

ICLR 2025 Training Free Exponential Context Extension via Cascading KV Cache Jeffrey Willette, Heejun Lee, Youngwan Lee, Myeongjae Jeon, Sung Ju Hwang

CVPR 2025 VideoICL: Confidence-Based Iterative In-Context Learning for Out-of-Distribution Video Understanding Kangsan Kim, Geon Park, Youngwan Lee, Woongyeong Yeo, Sung Ju Hwang

ICMLW 2024 Automatic Jailbreaking of the Text-to-Image Generative AI Systems Minseon Kim, Hyomin Lee, Boqing Gong, Huishuai Zhang, Sung Ju Hwang

ICML 2024 BECoTTA: Input-Dependent Online Blending of Experts for Continual Test-Time Adaptation Daeun Lee, Jaehong Yoon, Sung Ju Hwang

ICLR 2024 DiffusionNAG: Predictor-Guided Neural Architecture Generation with Diffusion Models Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang

ICML 2024 Drug Discovery with Dynamic Goal-Aware Fragments Seul Lee, Seanie Lee, Kenji Kawaguchi, Sung Ju Hwang

ICLRW 2024 Drug Discovery with Dynamic Goal-Aware Fragments Seul Lee, Seanie Lee, Kenji Kawaguchi, Sung Ju Hwang

CVPR 2024 ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning Beomyoung Kim, Joonsang Yu, Sung Ju Hwang

ICML 2024 EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens Sunil Hwang, Jaehong Yoon, Youngwan Lee, Sung Ju Hwang

ICML 2024 Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes Jaehyeong Jo, Sung Ju Hwang

ICML 2024 Graph Generation with Diffusion Mixture Jaehyeong Jo, Dongki Kim, Sung Ju Hwang

NeurIPS 2024 Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models Sangwon Jang, Jaehyeong Jo, Kimin Lee, Sung Ju Hwang

NeurIPS 2024 KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis Youngwan Lee, Kwanyong Park, Yoorhim Cho, Yong-Ju Lee, Sung Ju Hwang

NeurIPS 2024 Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models Minki Kang, Sung Ju Hwang, Gibbeum Lee, Jaewoong Cho

NeurIPSW 2024 Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain

ICML 2024 One Prompt Is Not Enough: Automated Construction of a Mixture-of-Expert Prompts Ruochen Wang, Sohyun An, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-Jui Hsieh

ICLR 2024 Progressive Fourier Neural Representation for Sequential Video Compilation Haeyong Kang, Jaehong Yoon, DaHyun Kim, Sung Ju Hwang, Chang D. Yoo

ICLRW 2024 Protein Representation Learning by Capturing Protein Sequence-Structure-Function Relationship Eunji Ko, Seul Lee, Minseon Kim, Dongki Kim, Sung Ju Hwang

NeurIPSW 2024 Retrieval-Augmented Data Augmentation for Low-Resource Domain Tasks Minju Seo, Jinheon Baek, James Thorne, Sung Ju Hwang

ICLR 2024 SEA: Sparse Linear Attention with Estimated Attention Mask Heejun Lee, Jina Kim, Jeffrey Willette, Sung Ju Hwang

ICML 2024 STELLA: Continual Audio-Video Pre-Training with SpatioTemporal Localized Alignment Jaewoo Lee, Jaehong Yoon, Wonjae Kim, Yunji Kim, Sung Ju Hwang

ICLR 2024 Self-Supervised Dataset Distillation for Transfer Learning Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang

NeurIPS 2024 Set-Based Neural Network Encoding Without Weight Tying Bruno Andreis, Soro Bedionita, Philip H.S. Torr, Sung Ju Hwang

NeurIPSW 2023 Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sung Ju Hwang, Se-Young Yun

ICML 2023 Continual Learners Are Incremental Model Generalizers Jaehong Yoon, Sung Ju Hwang, Yue Cao

NeurIPS 2023 Effective Targeted Attacks for Adversarial Self-Supervised Learning Minseon Kim, Hyeonjeong Ha, Sooel Son, Sung Ju Hwang

ICML 2023 Exploring Chemical Space with Score-Based Out-of-Distribution Generation Seul Lee, Jaehyeong Jo, Sung Ju Hwang

ICLRW 2023 Exploring Chemical Space with Score-Based Out-of-Distribution Generation Seul Lee, Jaehyeong Jo, Sung Ju Hwang

ICLR 2023 Exploring the Role of Mean Teachers in Self-Supervised Masked Auto-Encoders Youngwan Lee, Jeffrey Ryan Willette, Jonghee Kim, Juho Lee, Sung Ju Hwang

NeurIPS 2023 Generalizable Lightweight Proxy for Robust NAS Against Diverse Perturbations Hyeonjeong Ha, Minseon Kim, Sung Ju Hwang

ICMLW 2023 Generalizable Lightweight Proxy for Robust NAS Against Diverse Perturbations Hyeonjeong Ha, Minseon Kim, Sung Ju Hwang

ICLRW 2023 Graph Generation with Destination-Driven Diffusion Mixture Jaehyeong Jo, Dongki Kim, Sung Ju Hwang

NeurIPS 2023 Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi, Sung Ju Hwang

NeurIPSW 2023 LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers Taewook Nam, Juyong Lee, Jesse Zhang, Sung Ju Hwang, Joseph J Lim, Karl Pertsch

ICML 2023 Margin-Based Neural Network Watermarking Byungjoo Kim, Suyoung Lee, Seanie Lee, Sooel Son, Sung Ju Hwang

ICLR 2023 Meta-Prediction Model for Distillation-Aware NAS on Unseen Datasets Hayeon Lee, Sohyun An, Minseon Kim, Sung Ju Hwang

ICLR 2023 On the Soft-Subnetwork for Few-Shot Class Incremental Learning Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo

ICML 2023 Personalized Subgraph Federated Learning Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang

NeurIPS 2023 STXD: Structural and Temporal Cross-Modal Distillation for Multi-View 3D Object Detection Sujin Jang, Dae Ung Jo, Sung Ju Hwang, Dongwook Lee, Daehyun Ji

ICML 2023 Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation Jeffrey Willette, Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang

ICLR 2023 Self-Distillation for Further Pre-Training of Transformers Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi

ICLR 2023 Self-Supervised Set Representation Learning for Unsupervised Meta-Learning Dong Bok Lee, Seanie Lee, Kenji Kawaguchi, Yunji Kim, Jihwan Bang, Jung-Woo Ha, Sung Ju Hwang

ICLR 2023 Sparse Token Transformer with Attention Back Tracking Heejun Lee, Minki Kang, Youngwan Lee, Sung Ju Hwang

ICCV 2023 Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang

CVPR 2023 The Devil Is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation Beomyoung Kim, Joonhyun Jeong, Dongyoon Han, Sung Ju Hwang

ECCVW 2022 BiTAT: Neural Network Binarization with Task-Dependent Aggregated Transformation Geon Park, Jaehong Yoon, Haiyang Zhang, Xing Zhang, Sung Ju Hwang, Yonina C. Eldar

ICML 2022 Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization Jaehong Yoon, Geon Park, Wonyong Jeong, Sung Ju Hwang

AAAI 2022 Consistency Regularization for Adversarial Robustness Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin

NeurIPS 2022 Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching Wonyong Jeong, Sung Ju Hwang

NeurIPSW 2022 Few-Shot Transferable Robust Representation Learning via Bilevel Attacks Minseon Kim, Hyeonjeong Ha, Sung Ju Hwang

ICML 2022 Forget-Free Continual Learning with Winning Subnetworks Haeyong Kang, Rusty John Lloyd Mina, Sultan Rizky Hikmawan Madjid, Jaehong Yoon, Mark Hasegawa-Johnson, Sung Ju Hwang, Chang D. Yoo

NeurIPS 2022 Graph Self-Supervised Learning with Accurate Discrepancy Learning Dongki Kim, Jinheon Baek, Sung Ju Hwang

ICMLW 2022 Knowledge-Consistent Dialogue Generation with Knowledge Graphs Minki Kang, Jin Myung Kwak, Jinheon Baek, Sung Ju Hwang

NeurIPS 2022 Learning to Generate Inversion-Resistant Model Explanations Hoyong Jeong, Suyoung Lee, Sung Ju Hwang, Sooel Son

ECCVW 2022 Localization Uncertainty Estimation for Anchor-Free Object Detection Youngwan Lee, Joong-Won Hwang, Hyung-Il Kim, Kimin Yun, Yongjin Kwon, Yuseok Bae, Sung Ju Hwang

CVPR 2022 MPViT: Multi-Path Vision Transformer for Dense Prediction Youngwan Lee, Jonghee Kim, Jeffrey Willette, Sung Ju Hwang

ICLR 2022 Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty Jeffrey Ryan Willette, Hae Beom Lee, Juho Lee, Sung Ju Hwang

ICLR 2022 Model-Augmented Prioritized Experience Replay Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang

ECCVW 2022 Object Detection in Aerial Images with Uncertainty-Aware Graph Network Jongha Kim, Jinheon Baek, Sung Ju Hwang

ICLR 2022 Online Coreset Selection for Rehearsal-Based Continual Learning Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang

ICLR 2022 Online Hyperparameter Meta-Learning with Hypergradient Distillation Hae Beom Lee, Hayeon Lee, JaeWoong Shin, Eunho Yang, Timothy Hospedales, Sung Ju Hwang

ICLR 2022 Representational Continuity for Unsupervised Continual Learning Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang

NeurIPSW 2022 SPRINT: Scalable Semantic Policy Pre-Training via Language Instruction Relabeling Jesse Zhang, Karl Pertsch, Jiahui Zhang, Taewook Nam, Sung Ju Hwang, Xiang Ren, Joseph J Lim

NeurIPSW 2022 SPRINT: Scalable Semantic Policy Pre-Training via Language Instruction Relabeling Jesse Zhang, Karl Pertsch, Jiahui Zhang, Taewook Nam, Sung Ju Hwang, Xiang Ren, Joseph J Lim

AAAI 2022 Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang

ICML 2022 Score-Based Generative Modeling of Graphs via the System of Stochastic Differential Equations Jaehyeong Jo, Seul Lee, Sung Ju Hwang

ICLR 2022 Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning Seanie Lee, Hae Beom Lee, Juho Lee, Sung Ju Hwang

ICML 2022 Set Based Stochastic Subsampling Bruno Andreis, Seanie Lee, A. Tuan Nguyen, Juho Lee, Eunho Yang, Sung Ju Hwang

NeurIPS 2022 Set-Based Meta-Interpolation for Few-Task Meta-Learning Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang

ICLR 2022 Skill-Based Meta-Reinforcement Learning Taewook Nam, Shao-Hua Sun, Karl Pertsch, Sung Ju Hwang, Joseph J Lim

NeurIPSW 2022 Targeted Adversarial Self-Supervised Learning Minseon Kim, Hyeonjeong Ha, Sooel Son, Sung Ju Hwang

ICLR 2021 Accurate Learning of Graph Representations with Graph Multiset Pooling Jinheon Baek, Minki Kang, Sung Ju Hwang

ICML 2021 Adversarial Purification with Score-Based Generative Models Jongmin Yoon, Sung Ju Hwang, Juho Lee

AAAI 2021 Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang

ICCV 2021 Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang

ICMLW 2021 Consistency Regularization for Adversarial Robustness Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin

ICLR 2021 Contrastive Learning with Adversarial Perturbations for Conditional Text Generation Seanie Lee, Dong Bok Lee, Sung Ju Hwang

NeurIPS 2021 Edge Representation Learning with Hypergraphs Jaehyeong Jo, Jinheon Baek, Seul Lee, Dongki Kim, Minki Kang, Sung Ju Hwang

ICMLW 2021 Entropy Weighted Adversarial Training Minseon Kim, Jihoon Tack, Jinwoo Shin, Sung Ju Hwang

ICLR 2021 FedMix: Approximation of Mixup Under Mean Augmented Federated Learning Tehrim Yoon, Sumin Shin, Sung Ju Hwang, Eunho Yang

ICML 2021 Federated Continual Learning with Weighted Inter-Client Transfer Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang

ICLR 2021 Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang

AAAI 2021 GTA: Graph Truncated Attention for Retrosynthesis Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju Hwang, Eunho Yang

NeurIPS 2021 Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning Hayeon Lee, Sewoong Lee, Song Chong, Sung Ju Hwang

NeurIPS 2021 Hit and Lead Discovery with Explorative RL and Fragment-Based Molecule Generation Soojung Yang, Doyeong Hwang, Seul Lee, Seongok Ryu, Sung Ju Hwang

ICML 2021 Large-Scale Meta-Learning with Continual Trajectory Shifting Jaewoong Shin, Hae Beom Lee, Boqing Gong, Sung Ju Hwang

ICML 2021 Learning to Generate Noise for Multi-Attack Robustness Divyam Madaan, Jinwoo Shin, Sung Ju Hwang

ICLR 2021 Learning to Sample with Local and Global Contexts in Experience Replay Buffer Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang

ICLR 2021 Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning Dong Bok Lee, Dongchan Min, Seanie Lee, Sung Ju Hwang

ICML 2021 Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation Dongchan Min, Dong Bok Lee, Eunho Yang, Sung Ju Hwang

NeurIPS 2021 Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding Andreis Bruno, Jeffrey Willette, Juho Lee, Sung Ju Hwang

ICLR 2021 Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets Hayeon Lee, Eunyoung Hyung, Sung Ju Hwang

IJCAI 2021 RetCL: A Selection-Based Approach for Retrosynthesis via Contrastive Learning Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin

NeurIPSW 2021 Skill-Based Meta-Reinforcement Learning Taewook Nam, Shao-Hua Sun, Karl Pertsch, Sung Ju Hwang, Joseph J Lim

NeurIPSW 2021 Skill-Based Meta-Reinforcement Learning Taewook Nam, Shao-Hua Sun, Karl Pertsch, Sung Ju Hwang, Joseph J Lim

NeurIPS 2021 Task-Adaptive Neural Network Search with Meta-Contrastive Learning Wonyong Jeong, Hayeon Lee, Geon Park, Eunyoung Hyung, Jinheon Baek, Sung Ju Hwang

ICML 2020 Adversarial Neural Pruning with Latent Vulnerability Suppression Divyam Madaan, Jinwoo Shin, Sung Ju Hwang

NeurIPS 2020 Adversarial Self-Supervised Contrastive Learning Minseon Kim, Jihoon Tack, Sung Ju Hwang

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

NeurIPS 2020 Bootstrapping Neural Processes Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh

ICML 2020 Cost-Effective Interactive Attention Learning with Neural Attention Processes Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang

AAAI 2020 Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare Ingyo Chung, Saehoon Kim, Juho Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang

NeurIPS 2020 Distribution Aligning Refinery of Pseudo-Label for Imbalanced Semi-Supervised Learning Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin

ICMLW 2020 Federated Continual Learning with Weighted Inter-Client Transfer Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang

NeurIPS 2020 Few-Shot Visual Reasoning with Meta-Analogical Contrastive Learning Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang

ICLR 2020 Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-Distribution Tasks Hae Beom Lee, Hayeon Lee, Donghyun Na, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang

NeurIPS 2020 Learning to Extrapolate Knowledge: Transductive Few-Shot Out-of-Graph Link Prediction Jinheon Baek, Dong Bok Lee, Sung Ju Hwang

ICLR 2020 Meta Dropout: Learning to Perturb Latent Features for Generalization Hae Beom Lee, Taewook Nam, Eunho Yang, Sung Ju Hwang

ICML 2020 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, Sung Ju Hwang

NeurIPS 2020 MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures Jeong Un Ryu, JaeWoong Shin, Hae Beom Lee, Sung Ju Hwang

NeurIPS 2020 Neural Complexity Measures Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi

ICLR 2020 Scalable and Order-Robust Continual Learning with Additive Parameter Decomposition Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang

ICML 2020 Self-Supervised Label Augmentation via Input Transformations Hankook Lee, Sung Ju Hwang, Jinwoo Shin

NeurIPS 2020 Time-Reversal Symmetric ODE Network In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin

ICLR 2020 Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks Joonyoung Yi, Juhyuk Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang

ICML 2019 Learning What and Where to Transfer Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin

ICLR 2019 Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Eunho Yang, Sung Ju Hwang, Yi Yang

ICML 2018 Deep Asymmetric Multi-Task Feature Learning Hae Beom Lee, Eunho Yang, Sung Ju Hwang

NeurIPS 2018 DropMax: Adaptive Variational SoftMax Hae Beom Lee, Juho Lee, Saehoon Kim, Eunho Yang, Sung Ju Hwang

NeurIPS 2018 Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding Hajin Shim, Sung Ju Hwang, Eunho Yang

ICLR 2018 Lifelong Learning with Dynamically Expandable Networks Jaehong Yoon, Eunho Yang, Jeongtae Lee, Sung Ju Hwang

NeurIPS 2018 Uncertainty-Aware Attention for Reliable Interpretation and Prediction Jay Heo, Hae Beom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang

ICML 2017 Combined Group and Exclusive Sparsity for Deep Neural Networks Jaehong Yoon, Sung Ju Hwang

ICML 2017 SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization Juyong Kim, Yookoon Park, Gunhee Kim, Sung Ju Hwang

AAAI 2016 Exploiting View-Specific Appearance Similarities Across Classes for Zero-Shot Pose Prediction: A Metric Learning Approach Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, Leonid Sigal

AAAI 2016 Knowledge Transfer with Interactive Learning of Semantic Relationships Jonghyun Choi, Sung Ju Hwang, Leonid Sigal, Larry S. Davis

ECCV 2016 Taxonomy-Regularized Semantic Deep Convolutional Neural Networks Wonjoon Goo, Juyong Kim, Gunhee Kim, Sung Ju Hwang

CVPR 2015 Expanding Object Detector's Horizon: Incremental Learning Framework for Object Detection in Videos Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, Leonid Sigal

NeurIPS 2014 A Unified Semantic Embedding: Relating Taxonomies and Attributes Sung Ju Hwang, Leonid Sigal

ECCV 2012 Context-Based Automatic Local Image Enhancement Sung Ju Hwang, Ashish Kapoor, Sing Bing Kang

NeurIPS 2012 Semantic Kernel Forests from Multiple Taxonomies Sung Ju Hwang, Kristen Grauman, Fei Sha

NeurIPS 2011 Learning a Tree of Metrics with Disjoint Visual Features Kristen Grauman, Fei Sha, Sung Ju Hwang

CVPR 2011 Sharing Features Between Objects and Their Attributes Sung Ju Hwang, Fei Sha, Kristen Grauman

CVPR 2010 Reading Between the Lines: Object Localization Using Implicit Cues from Image Tags Sung Ju Hwang, Kristen Grauman