Browse by Author Hwang, Sung Ju
Showing results 1 to 60 of 149
| A Simple Framework for Robust Out-of-Distribution Detection Hur, Youngbum; Yang, Eunho; Hwang, Sung Ju, IEEE ACCESS, v.10, pp.23086 - 23097, 2022 |
| Accurate Learning of Graph Representations with Graph Multiset Pooling Baek, Jinheon; Kang, Minki; Hwang, Sung Ju, The Ninth International Conference on Learning Representations, The International Conference on Learning Representations (ICLR), 2021-05-03 |
| Adversarial Neural Pruning with Latent Vulnerability Suppression Madaan, Divyam; Shin, Jinwoo; Hwang, Sung Ju, 37th International Conference on Machine Learning, ICML 2020, ICML, 2020-07-15 |
| Adversarial purification with score-based generative models Yoon, Jongmin; Hwang, Sung Ju; Lee, Juho, International Conference on Machine Learning (ICML), International Conference on Machine Learning Organizing Committee, 2021-07-18 |
| Adversarial Self-Supervised Contrastive Learning Kim, Minseon; Tack, Jihoon; Hwang, Sung Ju, Thirty-fourth Conference on Neural Information Processing Systems, NeurIPS 2020, NeurIPS, 2020-12-06 |
| Architecture for generating QA pairs from contexts Hwang, Sung Ju; Lee, Dong Bok; Lee, Seanie; Kim, Dong Hwan; Jeong, Woo Tae; Kim, Han Su; Kwon, You Kyung; et al |
| Attribution Preservation in Network Compression for Reliable Network Interpretation Park, GeonDo; Yang, June Yong; Hwang, Sung Ju; Yang, Eunho, Advances in Neural Information Processing Systems, NeurIPS 2020, Neural Information Processing Systems, 2020-12-07 |
| Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation Jeong, Soyeong; Baek, Jinheon; Cho, Sukmin; Hwang, Sung Ju; Park, Jong C., 60th Annual Meeting of the Association-for-Computational-Linguistics (ACL), pp.442 - 452, ASSOC COMPUTATIONAL LINGUISTICS-ACL, 2022-05 |
| Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization Yoon, Jaehong; Park, Geon; Jeong, Wonyong; Hwang, Sung Ju, 39th International Conference on Machine Learning, ICML 2022, International Machine Learning Society (IMLS), 2022-07-23 |
| Bootstrapping neural processes Lee, Juho; Lee, Yoonho; Kim, Jungtaek; Yang, Eunho; Hwang, Sung Ju; Teh, Yee Whye, Advances in Neural Information Processing Systems, NeurIPS 2020, Neural Information Processing Systems, 2020-12-11 |
| Clinical risk prediction with temporal probabilistic asymmetric multi-task learning = 확률, 시간적 다중 태스크 학습을 이용한 임상적 위험 상황 예측link Jeong, Hyewon; Hwang, Sung Ju; et al, 한국과학기술원, 2021 |
| Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning Nguyen, Tuan; Jeong, Hyewon; Yang, Eunho; Hwang, Sung Ju, AAAI Conference on Artificial Intelligence 2021, pp.9081 - 9091, AAAI, 2021-02-02 |
| Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss Lee, Jung Hyun; Yun, Jihun; Hwang, Sung Ju; Yang, Eunho, 18th IEEE/CVF International Conference on Computer Vision (ICCV), pp.5370 - 5379, Computer Vision Foundation, IEEE Computer Society, 2021-10-14 |
| Co-training and Co-distillation for Quality Improvement and Compression of Language Models Lee, Hayeon; Hou, Rui; Kim, Jongphil; Liang, Davis; Zhang, Hongbo; Hwang, Sung Ju; Min, Alexander, Empirical Methods in Natural Language Processing, EMNLP 2023, Association of Computational Linguistics, 2023-12-06 |
| Combined group and exclusive sparsity for deep neural networks Yoon, Jaehong; Hwang, Sung Ju, 34th International Conference on Machine Learning, ICML 2017, pp.6031 - 6039, International Machine Learning Society (IMLS), 2017-08-06 |
| Consistency Regularization for Adversarial Robustness Tack, Jihoon; Yu, Sihyun; Jeong, Jongheon; Kim, Minseon; Hwang, Sung Ju; Shin, Jinwoo, The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), pp.8414 - 8422, Association for the Advancement of Artificial Intelligence, 2022-02-24 |
| Continual Learners are Incremental Model Generalizers Yoon, Jaehong; Hwang, Sung Ju; Cao, Yue, 40th International Conference on Machine Learning (ICML 2023), International Machine Learning Society, 2023-07-26 |
| Contrastive Learning with Adversarial Perturbations for Conditional Text Generation Lee, Seanie; Lee, Dong Bok; Hwang, Sung Ju, Ninth International Conference on Learning Representation, ICLR 2021, The International Conference on Learning Representations, 2021-05-03 |
| Cost-effective Interactive Attention Learning with Neural Attention Processes Heo, Jay; Park, Joonhyun; Hyewon, Jeong; Kim, Kwangjoon; Lee, Juho; Yang, Eunho; Hwang, Sung Ju, 37th International Conference on Machine Learning, ICML 2020, pp.4176 - 4186, International Conferences on Machine Learning, 2020-07-14 |
| DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing Gong, Taesik; Kim, Yewon; Orzikulova, Adiba; Liu, Yunxin; Hwang, Sung Ju; Shin, Jinwoo; Lee, Sung-Ju, PROCEEDINGS OF THE ACM ON INTERACTIVE MOBILE WEARABLE AND UBIQUITOUS TECHNOLOGIES-IMWUT, v.7, no.2, 2023-06 |
| DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing Gong, Taesik; Kim, Yewon; Orzilulova, Adiba; Liu, Yunxin; Hwang, Sung Ju; Shin, Jinwoo; Lee, Sung-Ju, The ACM international joint conference on Pervasive and Ubiquitous Computing (UbiComp), Special Interest Group on Computer-Human Interaction, 2023-10-11 |
| Data augmentation for natural language processing = 자연언어처리를 위한 데이터 증강방법link Lee, Seanie; Hwang, Sung Ju; 황성주; Lee, Juho; et al, 한국과학기술원, 2022 |
| Deep Asymmetric Multi-task Feature Learning Lee, Haebeom; Yang, Eunho; Hwang, Sung Ju, Thirty-fifth International Conference on Machine Learning, International Machine Learning Society (IMLS), 2018-07-12 |
| Deep Asymmetric Multi-Task Feature Learning Lee, Hae Beom; Yang, Eunho; Hwang, Sung Ju, 35th International Conference on Machine Learning, ICML 2018, pp.4609 - 4619, International Machine Learning Society (IMLS), 2018-07-12 |
| Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare Chung, Ingyo; Kim, Saehoon; Lee, Juho; Kim, Kwang Joon; Hwang, Sung Ju; Yang, Eunho, 34th AAAI Conference on Artificial Intelligence / 32nd Innovative Applications of Artificial Intelligence Conference / 10th AAAI Symposium on Educational Advances in Artificial Intelligence, pp.3649 - 3657, ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE, 2020-02-07 |
| Deep Self-Supervised Diversity Promoting Learning on Hierarchical Hyperspheres for Regularization Kim, Youngsung; Hyun, Yoonsuk; Han, Jae-Joon; Yang, Eunho; Hwang, Sung Ju; Shin, Jinwoo, IEEE ACCESS, v.11, pp.146208 - 146222, 2023-12 |
| Direct Fact Retrieval from Knowledge Graphs without Entity Linking Baek, Jinheon; Aji, Alham Fikri; Lehmann, Jens; Hwang, Sung Ju, 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023, pp.10038 - 10055, Association for Computational Linguistics (ACL), 2023-07-12 |
| Distortion-aware network pruning and feature reuse for real-time video segmentation = 실시간 의미론적 영상 분할을 위한 왜곡 인식 신경망 가지치기와 특징 재사용link Rhee, Hyunsu; Hwang, Sung Ju; et al, 한국과학기술원, 2023 |
| Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning Kim, Jaehyung; Hur, Youngbum; Park, Sejun; Yang, Eunho; Hwang, Sung Ju; Shin, Jinwoo, 34th Conference on Neural Information Processing Systems (NeurIPS) 2020, Neural Information Processing Systems, 2020-12-07 |
| Dropmax: Adaptive Stochastic Softmax Lee, Hae Beom; Lee, Juho; Kim, Saehoon; Yang, Eunho; Hwang, Sung Ju, Thirty-second Conference on Neural Information Processing Systems, Neural Information Processing Systems, 2018-12-04 |
| DropMax: Adaptive Variational Softmax Lee, Hae Beom; Lee, Juho; Kim, Saehoon; Yang, Eunho; Hwang, Sung Ju, 32nd Conference on Neural Information Processing Systems (NIPS), NEURAL INFORMATION PROCESSING SYSTEMS (NIPS), 2018-12 |
| Dynamic Detection-Tracking Switching Bruno, Andreis; Park, Junhyeon; Hwang, Sung Ju; Kim, Minwoo, 10th International Conference on Ubiquitous and Future Networks, ICUFN 2018, pp.64 - 69, IEEE Computer Society, 2018-07 |
| Edge Representation Learning with Hypergraphs Jo, Jaehyeong; Baek, Jinheon; Hwang, Sung Ju; Kim, Dongki; Kang, Minki; Lee, Seul, 35th Conference on Neural Information Processing Systems (NeurIPS), Advances in Neural Information Processing Systems, 2021-12 |
| Effective Targeted Attacks for Adversarial Self-Supervised Learning Kim, Minseon; Ha, Hyeonjeong; Son, Sooel; Hwang, Sung Ju, 37th Conference on Neural Information Processing Systems (NeurIPS 2023), Neural Information Processing Systems Foundation, 2023-12-12 |
| Effective Targeted Attacks for Adversarial Self-Supervised Learning Kim, Minseon; Ha, Hyeonjeong; Son, Sooel; Hwang, Sung Ju, Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) 2023, Thirty-seventh Conference on Neural Information Processing Systems, 2023-12-12 |
| Efficient and generalizable neural architecture search for the real world = 실세계를 위한 효율적이고 일반화 가능한 신경망 아키텍쳐 탐색link Lee, Hayeon; 이하연; et al, 한국과학기술원, 2023 |
| Efficient video representation learning via masked video modeling with motion-centric token selection = 동작 중심의 토큰 선택을 통한 효율적 마스크 비디오 표현학습 모델링link Hwang, Sunil; Hwang, Sung Ju; et al, 한국과학기술원, 2023 |
| Electronic apparatus and method for generating trained model Hwang, Sung Ju; Lee, Haebum; Na, Donghyun; Yang, Eunho |
| Electronic apparatus and method for optimizing trained model Hwang, Sung Ju; Kim, Juyong; Kim, Gunhee; Park, Yookoon |
| Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data Han, Moonsu; Kang, Min Ki; Jung, Hyun Woo; Hwang, Sung Ju, 57th Annual Meeting of the Association-for-Computational-Linguistics (ACL), pp.1 - 18, Association for Computational Linguistics(ACL), 2019-07-30 |
| Explorative molecule generation with out-of-distribution diffusion = 분포 밖 확산을 이용한 탐색적 분자 생성link Lee, Seul; Hwang, Sung Ju; et al, 한국과학기술원, 2022 |
| Exploring Chemical Space with Score-based Out-of-distribution Generation Lee, Seul; Jo, Jaehyeong; Hwang, Sung Ju, 40th International Conference on Machine Learning, ICML 2023, pp.18852 - 18871, ML Research Press, 2023-07-26 |
| Exploring the role of mean teachers in self-supervised masked auto-encoders Lee, Youngwan; Willette, Jeffrey Ryan; Kim, Jonghee; Lee, Juho; Hwang, Sung Ju, The Eleventh International Conference on Learning Representations, International Conference on Learning Representations, 2023-05-01 |
| Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching Jeong, Wonyong; Hwang, Sung Ju, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, Neural Information Processing Systems, 2022-11-30 |
| Federated Continual Learning with Weighted Inter-client Transfer Yoon, Jaehong; Jeong, Wonyong; Lee, Giwoong; Yang, Eunho; Hwang, Sung Ju, International Conference on Machine Learning (ICML), International Machine Learning Society (IMLS), 2021-07-18 |
| Federated Semi-supervised Learning with Inter-client Consistency & Disjoint Learning Jeong, Wonyong; Yoon, Jaehong; Yang, Eunho; Hwang, Sung Ju, 9th International Conference on Learning Representations, ICLR 2021, International Conference on Learning Representations, ICLR, 2021-05-03 |
| Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning Jeong, Wonyong; Yoon, Jaehong; Yang, Eunho; Hwang, Sung Ju, International Conference on Learning Representations (ICLR) 2021, International Conference on Learning Representations (ICLR), 2021-05-04 |
| FedMix: Approximation of Mixup under Mean Augmented Federated Learning Yoon, Tehrim; Shin, Sumin; Hwang, Sung Ju; Yang, Eunho, The Ninth International Conference on Learning Representations (ICLR), International Conference on Learning Representations (ICLR), 2021-05-04 |
| Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning Kim, Youngsung; Shin, Jinwoo; Yang, Eunho; Hwang, Sung Ju, Thirty-fourth Conference on Neural Information Processing Systems, NeurIPS 2020, NeurIPS, 2020-12-07 |
| Forget-free Continual Learning with Winning Subnetworks Kang, Haeyong; Mina, Rusty John Lloyd; Madjid, Sultan Rizky Hikmawan; Yoon, Jaehong; Hasegawa-Johnson, Mark; Hwang, Sung Ju; Yoo, Chang-Dong, Fortieth International Conference on Machine Learning, ICML 2022, pp.10734 - 10750, The International Conference on Machine Learning (ICML), 2022-07-19 |
| Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations Kim, Minseon; Ha, Hyeonjeong; Hwang, Sung Ju, 37th Conference on Neural Information Processing Systems, NeurIPS 2023, Thirty-seventh Conference on Neural Information Processing Systems, 2023-12-12 |
| Generalizable lightweight proxy for robust nas against diverse perturbations = 다양한 노이즈에 견고한 뉴럴 아키텍처 탐색을 위한 경량 프록시 연구link Ha, Hyeonjeong; 하현정; et al, 한국과학기술원, 2024 |
| Generalizable robust deep learning via adversarial pruning and meta-noise generation = 적대적 프루닝과 메타 노이즈 생성 기반 일반화 가능한 강건한 딥러닝link Madaan, Divyam; Hwang, Sung Ju; et al, 한국과학기술원, 2021 |
| Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs Lee, Dong Bok; Lee, Seanie; Jeong, Woo Tae; Kim, Donghwan; Hwang, Sung Ju, 58th Annual Meeting of the Association-for-Computational-Linguistics (ACL), pp.208 - 224, ACL, 2020-07-05 |
| Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs Lee, Dong Bok; Lee, Seanie; Jeong, Woo Tae; Kim, Donghwan; Hwang, Sung Ju, The 58th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, 2020-06-19 |
| Grad-StyleSpeech: Any-speaker Adaptive Text-To-Speech Synthesis with Diffusion Models Kang, Minki; Min, Dongchan; Hwang, Sung Ju, 48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023, IEEE Signal Processing Society, 2023-06-06 |
| Graph self-supervised learning and generative model for modeling graph structural property = 그래프 구조적 특성 모델링을 위한 자가지도학습법 및 생성모델link Kim, Dongki; 김동기; et al, 한국과학기술원, 2023 |
| Graph Self-supervised Learning with Accurate Discrepancy Learning Kim, Dongki; Baek, Jinheon; Hwang, Sung Ju, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, Neural Information Processing Systems, 2022-11 |
| GTA: Graph Truncated Attention for Retrosynthesis Seo, Seung-Woo; Song, You Young; Yang, June Yong; Bae, Seohui; Lee, Hankook; Shin, Jinwoo; Hwang, Sung Ju; et al, AAAI Conference on Artificial Intelligence(AAAI), pp.531 - 539, AAAI, 2021-02-02 |
| HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning LEE, HAYEON; Lee, Sewoong; Chong, Song; Hwang, Sung Ju, 35th Conference on Neural Information Processing Systems (NeurIPS) 2021, Conference on Neural Information Processing Systems (NeurIPS), 2021-12-09 |
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