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2020 – today
- 2024
[j75]Dahuin Jung, Hyungyu Lee, Sungroh Yoon:
Sample-efficient Adversarial Imitation Learning. J. Mach. Learn. Res. 25: 31:1-31:32 (2024)- [j74]Jungbeom Lee
, Eunji Kim, Jisoo Mok, Sungroh Yoon:
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1618-1634 (2024) - [c115]Saehyung Lee, Sangwon Yu, Junsung Park, Jihun Yi, Sungroh Yoon:
Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach. ACL (1) 2024: 791-809 - [c114]Sangwon Yu, Changmin Lee, Hojin Lee, Sungroh Yoon:
Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor. ACL (1) 2024: 14215-14237 - [c113]Jihun Yi, Sungroh Yoon:
CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly Detection. CIKM 2024: 3002-3011 - [c112]Jongyoon Song, Nohil Park, Bongkyu Hwang, Jaewoong Yun, Seongho Joe, Youngjune Gwon, Sungroh Yoon:
Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models. EACL (1) 2024: 915-929 - [c111]Siwon Kim, Shuyang Dai, Mohammad Kachuee, Shayan Ray, Tara Taghavi, Sungroh Yoon:
GrounDial: Human-norm Grounded Safe Dialog Response Generation. EACL (Findings) 2024: 1582-1588 - [c110]Yeongtak Oh, Jonghyun Lee, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon:
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation. ECCV (52) 2024: 184-201 - [c109]Eunji Kim, Kyuhong Shim, Simyung Chang, Sungroh Yoon:
Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP. EMNLP (Findings) 2024: 14330-14345 - [c108]Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon:
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors. ICLR 2024 - [c107]Uiwon Hwang, Jonghyun Lee, Juhyeon Shin, Sungroh Yoon:
SF(DA)2: Source-free Domain Adaptation Through the Lens of Data Augmentation. ICLR 2024 - [c106]Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon:
DAFA: Distance-Aware Fair Adversarial Training. ICLR 2024 - [c105]Jisoo Mok, Mohammad Kachuee, Shuyang Dai, Shayan Ray, Tara Taghavi, Sungroh Yoon:
LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems. NAACL (Industry Track) 2024: 419-426 - [i142]Yeongtak Oh, Saehyung Lee, Uiwon Hwang, Sungroh Yoon:
On mitigating stability-plasticity dilemma in CLIP-guided image morphing via geodesic distillation loss. CoRR abs/2401.10526 (2024) - [i141]Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon:
DAFA: Distance-Aware Fair Adversarial Training. CoRR abs/2401.12532 (2024) - [i140]Heeseung Kim, Soonshin Seo, Kyeongseok Jeong, Ohsung Kwon, Jungwhan Kim, Jaehong Lee, Eunwoo Song, Myungwoo Oh, Sungroh Yoon, Kang Min Yoo:
Unified Speech-Text Pretraining for Spoken Dialog Modeling. CoRR abs/2402.05706 (2024) - [i139]Siwon Kim, Shuyang Dai, Mohammad Kachuee, Shayan Ray, Tara Taghavi, Sungroh Yoon:
GrounDial: Human-norm Grounded Safe Dialog Response Generation. CoRR abs/2402.08968 (2024) - [i138]Juhyeon Shin, Jonghyun Lee, Saehyung Lee, Minjun Park, Dongjun Lee, Uiwon Hwang, Sungroh Yoon:
Gradient Alignment with Prototype Feature for Fully Test-time Adaptation. CoRR abs/2402.09004 (2024) - [i137]Jongyoon Song, Nohil Park, Bongkyu Hwang, Jaewoong Yun, Seongho Joe, Youngjune L. Gwon, Sungroh Yoon:
Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models. CoRR abs/2402.15162 (2024) - [i136]Daegyu Kim, Jooyoung Choi, Chaehun Shin, Uiwon Hwang, Sungroh Yoon:
Improving Diffusion-Based Generative Models via Approximated Optimal Transport. CoRR abs/2403.05069 (2024) - [i135]Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon:
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors. CoRR abs/2403.07366 (2024) - [i134]Uiwon Hwang, Jonghyun Lee, Juhyeon Shin, Sungroh Yoon:
SF(DA)2: Source-free Domain Adaptation Through the Lens of Data Augmentation. CoRR abs/2403.10834 (2024) - [i133]Yeongtak Oh, Jonghyun Lee, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon:
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation. CoRR abs/2403.10911 (2024) - [i132]Saehyung Lee, Sangwon Yu, Junsung Park, Jihun Yi, Sungroh Yoon:
Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach. CoRR abs/2406.03411 (2024) - [i131]Kukjin Choi, Jihun Yi, Jisoo Mok, Sungroh Yoon:
Self-Supervised Time-Series Anomaly Detection Using Learnable Data Augmentation. CoRR abs/2406.12260 (2024) - [i130]Jongyoon Song, Sangwon Yu, Sungroh Yoon:
Large Language Models are Skeptics: False Negative Problem of Input-conflicting Hallucination. CoRR abs/2406.13929 (2024) - [i129]Jaihyun Lew, Jooyoung Choi, Chaehun Shin, Dahuin Jung, Sungroh Yoon:
Disentangled Motion Modeling for Video Frame Interpolation. CoRR abs/2406.17256 (2024) - [i128]Jisoo Mok, Mohammad Kachuee, Shuyang Dai, Shayan Ray, Tara Taghavi, Sungroh Yoon:
LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems. CoRR abs/2407.12016 (2024) - [i127]Jihun Yi, Dahuin Jung, Sungroh Yoon:
Normality Addition via Normality Detection in Industrial Image Anomaly Detection Models. CoRR abs/2407.19849 (2024) - [i126]Sangwon Yu, Jongyoon Song, Bongkyu Hwang, Hoyoung Kang, Sooah Cho, Junhwa Choi, Seongho Joe, Taehee Lee, Youngjune L. Gwon, Sungroh Yoon:
Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment. CoRR abs/2408.00137 (2024) - [i125]Jihun Yi, Sungroh Yoon:
CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly Detection. CoRR abs/2408.03014 (2024) - [i124]Eunji Kim, Siwon Kim, Rahim Entezari, Sungroh Yoon:
Unlocking Intrinsic Fairness in Stable Diffusion. CoRR abs/2408.12692 (2024) - [i123]Heeseung Kim, Sang-gil Lee, Jiheum Yeom, Che Hyun Lee, Sungwon Kim, Sungroh Yoon:
VoiceTailor: Lightweight Plug-In Adapter for Diffusion-Based Personalized Text-to-Speech. CoRR abs/2408.14739 (2024) - [i122]Jiheum Yeom, Heeseung Kim, Jooyoung Choi, Che Hyun Lee, Nohil Park, Sungroh Yoon:
VoiceGuider: Enhancing Out-of-Domain Performance in Parameter-Efficient Speaker-Adaptive Text-to-Speech via Autoguidance. CoRR abs/2409.15759 (2024) - [i121]Nohil Park, Heeseung Kim, Che Hyun Lee, Jooyoung Choi, Jiheum Yeom, Sungroh Yoon:
NanoVoice: Efficient Speaker-Adaptive Text-to-Speech for Multiple Speakers. CoRR abs/2409.15760 (2024) - [i120]Saehyung Lee, Jisoo Mok, Sangha Park, Yongho Shin, Dahuin Jung, Sungroh Yoon:
Textual Training for the Hassle-Free Removal of Unwanted Visual Data. CoRR abs/2409.19840 (2024) - [i119]Sangwon Yu, Ik-hwan Kim, Jongyoon Song, Saehyung Lee, Junsung Park, Sungroh Yoon:
Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context. CoRR abs/2410.07103 (2024) - [i118]Eunji Kim, Kyuhong Shim, Simyung Chang, Sungroh Yoon:
Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP. CoRR abs/2410.08469 (2024) - [i117]Eunji Kim, Sriya Mantena, Weiwei Yang, Chandan Singh, Sungroh Yoon, Jianfeng Gao:
Interpretable Language Modeling via Induction-head Ngram Models. CoRR abs/2411.00066 (2024) - [i116]Jongseon Kim, Hyungjoon Kim, HyunGi Kim, Dongjun Lee, Sungroh Yoon:
A Comprehensive Survey of Time Series Forecasting: Architectural Diversity and Open Challenges. CoRR abs/2411.05793 (2024) - [i115]Sanghyeob Song, Jaihyun Lew, Hyemi Jang, Sungroh Yoon:
Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization. CoRR abs/2411.13036 (2024) - [i114]Jooyoung Choi, Chaehun Shin, Yeongtak Oh, Heeseung Kim, Sungroh Yoon:
Style-Friendly SNR Sampler for Style-Driven Generation. CoRR abs/2411.14793 (2024) - [i113]Chaehun Shin, Jooyoung Choi, Heeseung Kim, Sungroh Yoon:
Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator. CoRR abs/2411.15466 (2024) - [i112]Jaihyun Lew, Soohyuk Jang, Jaehoon Lee, Seungryong Yoo, Eunji Kim, Saehyung Lee, Jisoo Mok, Siwon Kim, Sungroh Yoon:
Superpixel Tokenization for Vision Transformers: Preserving Semantic Integrity in Visual Tokens. CoRR abs/2412.04680 (2024) - 2023
- [j73]Uiwon Hwang, Sung-Woo Kim, Dahuin Jung, Seung Wook Kim, Hyejoo Lee, Sang Won Seo, Joon-Kyung Seong, Sungroh Yoon:
Real-world prediction of preclinical Alzheimer's disease with a deep generative model. Artif. Intell. Medicine 144: 102654 (2023) - [j72]Yang Jeong Park, Hyungi Kim, Jeonghee Jo, Sungroh Yoon:
Deep contrastive learning of molecular conformation for efficient property prediction. Nat. Comput. Sci. 3(12): 1015-1022 (2023) - [j71]Dahuin Jung, Ho Bae, Hyun-Soo Choi, Sungroh Yoon:
PixelSteganalysis: Pixel-Wise Hidden Information Removal With Low Visual Degradation. IEEE Trans. Dependable Secur. Comput. 20(1): 331-342 (2023) - [j70]Sang-gil Lee, Eunji Kim, Jae Seok Bae, Jung Hoon Kim, Sungroh Yoon:
Robust End-to-End Focal Liver Lesion Detection Using Unregistered Multiphase Computed Tomography Images. IEEE Trans. Emerg. Top. Comput. Intell. 7(2): 319-329 (2023) - [c104]Jisoo Mok, Jaeyoung Do, Sungjin Lee, Tara Taghavi, Seunghak Yu, Sungroh Yoon:
Large-scale Lifelong Learning of In-context Instructions and How to Tackle It. ACL (1) 2023: 12573-12589 - [c103]Jongyoon Song, Nohil Park, Bongkyu Hwang, Jaewoong Yun, Seongho Joe, Youngjune Gwon, Sungroh Yoon:
Model Intrinsic Features of Fine-tuning based Text Summarization Models for Factual Consistency. ACL (Findings) 2023: 13884-13898 - [c102]Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon:
Edit-A-Video: Single Video Editing with Object-Aware Consistency. ACML 2023: 1215-1230 - [c101]Jaihyun Koh, Jaihyun Lew, Jangho Lee, Sungroh Yoon:
MG-MLP: Multi-gated MLP for Restoring Images from Spatially Variant Degradations. BMVC 2023: 283-285 - [c100]Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon:
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning. ICLR 2023 - [c99]Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon:
BigVGAN: A Universal Neural Vocoder with Large-Scale Training. ICLR 2023 - [c98]Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon:
On the Impact of Knowledge Distillation for Model Interpretability. ICML 2023: 12389-12410 - [c97]Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon:
Probabilistic Concept Bottleneck Models. ICML 2023: 16521-16540 - [c96]Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon:
Improving Visual Prompt Tuning for Self-supervised Vision Transformers. ICML 2023: 40075-40092 - [c95]Heeseung Kim, Sungwon Kim, Jiheum Yeom, Sungroh Yoon:
UnitSpeech: Speaker-adaptive Speech Synthesis with Untranscribed Data. INTERSPEECH 2023: 3038-3042 - [c94]Hyemi Jang, Junsung Park, Dahuin Jung, Jaihyun Lew, Ho Bae, Sungroh Yoon:
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising. NeurIPS 2023 - [c93]Bong Gyun Kang, HyunGi Kim, Dahuin Jung, Sungroh Yoon:
CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence. NeurIPS 2023 - [c92]Sungwon Kim, Kevin J. Shih, Rohan Badlani, João Felipe Santos, Evelina Bakhturina, Mikyas Desta, Rafael Valle, Sungroh Yoon, Bryan Catanzaro:
P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting. NeurIPS 2023 - [c91]Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh:
ProPILE: Probing Privacy Leakage in Large Language Models. NeurIPS 2023 - [c90]Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon:
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection. NeurIPS 2023 - [i111]Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon:
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning. CoRR abs/2302.08741 (2023) - [i110]Dahuin Jung, Hyungyu Lee, Sungroh Yoon:
Sample-efficient Adversarial Imitation Learning. CoRR abs/2303.07846 (2023) - [i109]Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon:
Edit-A-Video: Single Video Editing with Object-Aware Consistency. CoRR abs/2303.07945 (2023) - [i108]Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon:
On the Impact of Knowledge Distillation for Model Interpretability. CoRR abs/2305.15734 (2023) - [i107]Jooyoung Choi, Yunjey Choi, Yunji Kim, Junho Kim, Sungroh Yoon:
Custom-Edit: Text-Guided Image Editing with Customized Diffusion Models. CoRR abs/2305.15779 (2023) - [i106]Daegyu Kim, Chaehun Shin, Jooyoung Choi, Dahuin Jung, Sungroh Yoon:
Diffusion-Stego: Training-free Diffusion Generative Steganography via Message Projection. CoRR abs/2305.18726 (2023) - [i105]Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon:
Probabilistic Concept Bottleneck Models. CoRR abs/2306.01574 (2023) - [i104]Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon:
Improving Visual Prompt Tuning for Self-supervised Vision Transformers. CoRR abs/2306.05067 (2023) - [i103]Heeseung Kim, Sungwon Kim, Jiheum Yeom, Sungroh Yoon:
UnitSpeech: Speaker-adaptive Speech Synthesis with Untranscribed Data. CoRR abs/2306.16083 (2023) - [i102]Jiwon Park, Jeonghee Jo, Sungroh Yoon:
Mass Spectra Prediction with Structural Motif-based Graph Neural Networks. CoRR abs/2306.16085 (2023) - [i101]Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh:
ProPILE: Probing Privacy Leakage in Large Language Models. CoRR abs/2307.01881 (2023) - [i100]Yang Jeong Park, Sung Eun Jerng, Jin-Sung Park, Choah Kwon, Chia-Wei Hsu, Zhichu Ren, Sungroh Yoon, Ju Li:
1.5 million materials narratives generated by chatbots. CoRR abs/2308.13687 (2023) - [i99]Hyemi Jang, Junsung Park, Dahuin Jung, Jaihyun Lew, Ho Bae, Sungroh Yoon:
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising. CoRR abs/2310.10088 (2023) - [i98]Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon:
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection. CoRR abs/2310.16492 (2023) - [i97]Sangwon Yu, Changmin Lee, Hojin Lee, Sungroh Yoon:
Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor. CoRR abs/2311.07430 (2023) - [i96]Nohil Park, Joonsuk Park, Kang Min Yoo, Sungroh Yoon:
On the Analysis of Cross-Lingual Prompt Tuning for Decoder-based Multilingual Model. CoRR abs/2311.07820 (2023) - [i95]Yeongtak Oh, Jooyoung Choi, Yongsung Kim, Minjun Park, Chaehun Shin, Sungroh Yoon:
ControlDreamer: Stylized 3D Generation with Multi-View ControlNet. CoRR abs/2312.01129 (2023) - 2022
- [j69]Seonwoo Min, Byunghan Lee, Sungroh Yoon:
TargetNet: functional microRNA target prediction with deep neural networks. Bioinform. 38(3): 671-677 (2022) - [j68]Jangho Lee, Jeonghee Jo, Byounghwa Lee, Jung-Hoon Lee, Sungroh Yoon:
Brain-inspired Predictive Coding Improves the Performance of Machine Challenging Tasks. Frontiers Comput. Neurosci. 16 (2022) - [j67]Ho Bae, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon:
DNA Privacy: Analyzing Malicious DNA Sequences Using Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 888-898 (2022) - [j66]Sunwoo Ahn, Hayoon Yi, Ho Bae, Sungroh Yoon, Yunheung Paek:
Data Embedding Scheme for Efficient Program Behavior Modeling With Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 982-993 (2022) - [j65]Hyun-Soo Choi, Dahuin Jung, Siwon Kim, Sungroh Yoon:
Imbalanced Data Classification via Cooperative Interaction Between Classifier and Generator. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3343-3356 (2022) - [c89]Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon:
Towards a Rigorous Evaluation of Time-Series Anomaly Detection. AAAI 2022: 7194-7201 - [c88]Sangwon Yu, Jongyoon Song, Heeseung Kim, Seongmin Lee, Woo-Jong Ryu, Sungroh Yoon:
Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings. ACL (1) 2022: 29-45 - [c87]Heonseok Ha, Jaehee Jang, Yonghyun Jeong, Sungroh Yoon:
Membership Feature Disentanglement Network. AsiaCCS 2022: 364-376 - [c86]Jaehee Jang, Younho Lee, Andrey Kim, Byunggook Na, Donggeon Yhee, Byounghan Lee, Jung Hee Cheon, Sungroh Yoon:
Privacy-Preserving Deep Sequential Model with Matrix Homomorphic Encryption. AsiaCCS 2022: 377-391 - [c85]Heonseok Ha, Uiwon Hwang, Jaehee Jang, Ho Bae, Sungroh Yoon:
Membership Privacy-Preserving GAN. BMVC 2022: 576 - [c84]Jaihyun Koh, Jangho Lee, Sungroh Yoon:
BNUDC: A Two-Branched Deep Neural Network for Restoring Images from Under-Display Cameras. CVPR 2022: 1940-1949 - [c83]Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon:
Perception Prioritized Training of Diffusion Models. CVPR 2022: 11462-11471 - [c82]Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon:
Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training? CVPR 2022: 11851-11860 - [c81]Eunji Kim, Siwon Kim, Jungbeom Lee, Hyunwoo Kim, Sungroh Yoon:
Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization. CVPR 2022: 14238-14247 - [c80]Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon:
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CVPR 2022: 16876-16885 - [c79]Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon:
Stein Latent Optimization for Generative Adversarial Networks. ICLR 2022 - [c78]Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu:
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior. ICLR 2022 - [c77]Uiwon Hwang, Euideuk Hwang, Minsoo Kang, Sungroh Yoon:
Prediction of Mortality and Intervention in COVID-19 Patients Using Generative Adversarial Networks. Healthcare AI and COVID-19 Workshop 2022: 91-99 - [c76]Heeseung Kim, Sungwon Kim, Sungroh Yoon:
Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance. ICML 2022: 11119-11133 - [c75]Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon:
Dataset Condensation with Contrastive Signals. ICML 2022: 12352-12364 - [c74]Jonghyun Lee, Dahuin Jung, Junho Yim, Sungroh Yoon:
Confidence Score for Source-Free Unsupervised Domain Adaptation. ICML 2022: 12365-12377 - [c73]Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon:
AutoSNN: Towards Energy-Efficient Spiking Neural Networks. ICML 2022: 16253-16269 - [c72]Jaehee Jang, Heonseok Ha, Dahuin Jung, Sungroh Yoon:
FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks. ICPP 2022: 76:1-76:10 - [i94]Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon:
AutoSNN: Towards Energy-Efficient Spiking Neural Networks. CoRR abs/2201.12738 (2022) - [i93]Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon:
Dataset Condensation with Contrastive Signals. CoRR abs/2202.02916 (2022) - [i92]Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon:
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CoRR abs/2203.03860 (2022) - [i91]Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon:
Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training? CoRR abs/2203.14577 (2022) - [i90]Eunji Kim, Siwon Kim, Jungbeom Lee, Hyunwoo Kim, Sungroh Yoon:
Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization. CoRR abs/2204.00220 (2022) - [i89]Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon:
Perception Prioritized Training of Diffusion Models. CoRR abs/2204.00227 (2022) - [i88]Jungbeom Lee, Eunji Kim, Jisoo Mok, Sungroh Yoon:
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization. CoRR abs/2204.04890 (2022) - [i87]Sungwon Kim, Heeseung Kim, Sungroh Yoon:
Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Data. CoRR abs/2205.15370 (2022) - [i86]Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon:
BigVGAN: A Universal Neural Vocoder with Large-Scale Training. CoRR abs/2206.04658 (2022) - [i85]Geonho Cha, Chaehun Shin, Sungroh Yoon, Dongyoon Wee:
Out of Sight, Out of Mind: A Source-View-Wise Feature Aggregation for Multi-View Image-Based Rendering. CoRR abs/2206.04906 (2022) - [i84]Jonghyun Lee, Dahuin Jung, Junho Yim, Sungroh Yoon:
Confidence Score for Source-Free Unsupervised Domain Adaptation. CoRR abs/2206.06640 (2022) - [i83]Jaehee Jang, Heonseok Ha, Dahuin Jung, Sungroh Yoon:
FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks. CoRR abs/2210.14226 (2022) - 2021
- [j64]Sei Joon Kim, Seongsik Park, Byunggook Na, Jongwan Kim, Sungroh Yoon:
Towards Fast and Accurate Object Detection in Bio-Inspired Spiking Neural Networks Through Bayesian Optimization. IEEE Access 9: 2633-2643 (2021) - [j63]Hyungyu Lee, Ho Bae, Sungroh Yoon:
Gradient Masking of Label Smoothing in Adversarial Robustness. IEEE Access 9: 6453-6464 (2021) - [j62]Kukjin Choi, Jihun Yi, Changhwa Park, Sungroh Yoon:
Deep Learning for Anomaly Detection in Time-Series Data: Review, Analysis, and Guidelines. IEEE Access 9: 120043-120065 (2021) - [j61]