Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSungroh Yoon
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 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) - [i98]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) - [i97]Dahuin Jung, Hyungyu Lee, Sungroh Yoon:
Sample-efficient Adversarial Imitation Learning. CoRR abs/2303.07846 (2023) - [i96]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) - 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) - [c88]Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon:
Towards a Rigorous Evaluation of Time-Series Anomaly Detection. AAAI 2022: 7194-7201 - [c87]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 - [c86]Heonseok Ha, Jaehee Jang, Yonghyun Jeong, Sungroh Yoon:
Membership Feature Disentanglement Network. AsiaCCS 2022: 364-376 - [c85]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 - [c84]Heonseok Ha, Uiwon Hwang, Jaehee Jang, Ho Bae, Sungroh Yoon:
Membership Privacy-Preserving GAN. BMVC 2022: 576 - [c83]Jaihyun Koh, Jangho Lee, Sungroh Yoon:
BNUDC: A Two-Branched Deep Neural Network for Restoring Images from Under-Display Cameras. CVPR 2022: 1940-1949 - [c82]Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon:
Perception Prioritized Training of Diffusion Models. CVPR 2022: 11462-11471 - [c81]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 - [c80]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 - [c79]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 - [c78]Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon:
Stein Latent Optimization for Generative Adversarial Networks. ICLR 2022 - [c77]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 - [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 - [i95]Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon:
AutoSNN: Towards Energy-Efficient Spiking Neural Networks. CoRR abs/2201.12738 (2022) - [i94]Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon:
Dataset Condensation with Contrastive Signals. CoRR abs/2202.02916 (2022) - [i93]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) - [i92]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) - [i91]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) - [i90]Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon:
Perception Prioritized Training of Diffusion Models. CoRR abs/2204.00227 (2022) - [i89]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) - [i88]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) - [i87]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) - [i86]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) - [i85]Jonghyun Lee, Dahuin Jung, Junho Yim, Sungroh Yoon:
Confidence Score for Source-Free Unsupervised Domain Adaptation. CoRR abs/2206.06640 (2022) - [i84]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]Seonwoo Min, Seunghyun Park, Siwon Kim, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon:
Pre-Training of Deep Bidirectional Protein Sequence Representations With Structural Information. IEEE Access 9: 123912-123926 (2021) - [j60]Sunyoung Kwon, Gyuwan Kim, Byunghan Lee, Jongsik Chun, Sungroh Yoon, Young-Han Kim:
NASCUP: Nucleic Acid Sequence Classification by Universal Probability. IEEE Access 9: 162779-162791 (2021) - [j59]Byunghan Lee, Hyeyoung Min, Sungroh Yoon:
MUGAN: multi-GPU accelerated AmpliconNoise server for rapid microbial diversity assessment. Bioinform. 37(11): 1562-1570 (2021) - [j58]Jaihyun Koh, Jangho Lee, Sungroh Yoon:
Single-image deblurring with neural networks: A comparative survey. Comput. Vis. Image Underst. 203: 103134 (2021) - [j57]Ho Bae, Younghan Lee, Yohan Kim, Uiwon Hwang, Sungroh Yoon, Yunheung Paek:
Learn2Evade: Learning-Based Generative Model for Evading PDF Malware Classifiers. IEEE Trans. Artif. Intell. 2(4): 299-313 (2021) - [j56]Jiyong Jang, Sungroh Yoon:
Feature Concentration for Supervised and Semisupervised Learning With Unbalanced Datasets in Visual Inspection. IEEE Trans. Ind. Electron. 68(8): 7620-7630 (2021) - [j55]Seongsik Park, Jaehee Jang, Sei Joon Kim, Byunggook Na, Sungroh Yoon:
Memory-Augmented Neural Networks on FPGA for Real-Time and Energy-Efficient Question Answering. IEEE Trans. Very Large Scale Integr. Syst. 29(1): 162-175 (2021) - [c71]Hyeokjun Choe, Byunggook Na, Jisoo Mok, Sungroh Yoon:
Variance-stationary Differentiable NAS. BMVC 2021: 162 - [c70]Hyeongrok Han, Seongjae Park, Seonwoo Min, Hyun-Soo Choi, Eunji Kim, Hyunki Kim, Sangha Park, Jinkook Kim, Junsang Park, Junho An, Kwanglo Lee, Wonsun Jeong, Sangil Chon, Kwonwoo Ha, Myungkyu Han, Sungroh Yoon:
Towards High Generalization Performance on Electrocardiogram Classification. CinC 2021: 1-4 - [c69]Jungbeom Lee, Jihun Yi, Chaehun Shin, Sungroh Yoon:
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation. CVPR 2021: 2643-2652 - [c68]Jungbeom Lee, Eunji Kim, Sungroh Yoon:
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation. CVPR 2021: 4071-4080 - [c67]Eunji Kim, Siwon Kim, Minji Seo, Sungroh Yoon:
XProtoNet: Diagnosis in Chest Radiography With Global and Local Explanations. CVPR 2021: 15719-15728 - [c66]Seongsik Park, Dongjin Lee, Sungroh Yoon:
Noise-Robust Deep Spiking Neural Networks with Temporal Information. DAC 2021: 373-378 - [c65]Jongyoon Song, Sungwon Kim, Sungroh Yoon:
AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate. EMNLP (1) 2021: 1-14 - [c64]Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon:
AdvRush: Searching for Adversarially Robust Neural Architectures. ICCV 2021: 12302-12312 - [c63]Jooyoung Choi, Jungbeom Lee, Yonghyun Jeong, Sungroh Yoon:
Toward Spatially Unbiased Generative Models. ICCV 2021: 14233-14242 - [c62]Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon:
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models. ICCV 2021: 14347-14356 - [c61]Chaehun Shin, Jangho Lee, Byunggook Na, Sungroh Yoon:
Personalized Face Authentication Based On Few-Shot Meta-Learning. ICIP 2021: 3897-3901 - [c60]Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon:
Removing Undesirable Feature Contributions Using Out-of-Distribution Data. ICLR 2021 - [c59]Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon:
Accelerating Neural Architecture Search via Proxy Data. IJCAI 2021: 2848-2854 - [c58]Jungbeom Lee, Jooyoung Choi, Jisoo Mok, Sungroh Yoon:
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation. NeurIPS 2021: 27408-27421 - [i83]Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon:
Removing Undesirable Feature Contributions Using Out-of-Distribution Data. CoRR abs/2101.06639 (2021) - [i82]Jungbeom Lee, Eunji Kim, Sungroh Yoon:
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation. CoRR abs/2103.08896 (2021) - [i81]Jungbeom Lee, Jihun Yi, Chaehun Shin, Sungroh Yoon:
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation. CoRR abs/2103.08907 (2021) - [i80]Eunji Kim, Siwon Kim, Minji Seo, Sungroh Yoon:
XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations. CoRR abs/2103.10663 (2021) - [i79]Seongsik Park, Dongjin Lee, Sungroh Yoon:
Noise-Robust Deep Spiking Neural Networks with Temporal Information. CoRR abs/2104.11169 (2021) - [i78]Seongsik Park, Sungroh Yoon:
Training Energy-Efficient Deep Spiking Neural Networks with Time-to-First-Spike Coding. CoRR abs/2106.02568 (2021) - [i77]Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon:
Accelerating Neural Architecture Search via Proxy Data. CoRR abs/2106.04784 (2021) - [i76]Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon:
Stein Latent Optimization for GANs. CoRR abs/2106.05319 (2021) - [i75]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-Driven Adaptive Prior. CoRR abs/2106.06406 (2021) - [i74]Dongjin Lee, Seongsik Park, Jongwan Kim, Wuhyeong Doh, Sungroh Yoon:
Energy-efficient Knowledge Distillation for Spiking Neural Networks. CoRR abs/2106.07172 (2021) - [i73]Jeonghee Jo, Bumju Kwak, Byunghan Lee, Sungroh Yoon:
Flexible dual-branched message passing neural network for quantum mechanical property prediction with molecular conformation. CoRR abs/2106.07273 (2021) - [i72]Bumju Kwak, Jeonghee Jo, Byunghan Lee, Sungroh Yoon:
Geometry-aware Transformer for molecular property prediction. CoRR abs/2106.15516 (2021) - [i71]Seonwoo Min, Byunghan Lee, Sungroh Yoon:
TargetNet: Functional microRNA Target Prediction with Deep Neural Networks. CoRR abs/2107.11381 (2021) - [i70]Jooyoung Choi, Jungbeom Lee, Yonghyun Jeong, Sungroh Yoon:
Toward Spatially Unbiased Generative Models. CoRR abs/2108.01285 (2021) - [i69]Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon:
AdvRush: Searching for Adversarially Robust Neural Architectures. CoRR abs/2108.01289 (2021) - [i68]Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon:
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models. CoRR abs/2108.02938 (2021) - [i67]Sangwon Yu, Jongyoon Song, Heeseung Kim, Seongmin Lee, Woo-Jong Ryu, Sungroh Yoon:
Rare Words Degenerate All Words. CoRR abs/2109.03127 (2021) - [i66]Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon:
Towards a Rigorous Evaluation of Time-series Anomaly Detection. CoRR abs/2109.05257 (2021) - [i65]Jongyoon Song, Sungwon Kim, Sungroh Yoon:
AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate. CoRR abs/2109.06481 (2021) - [i64]Yonghyun Jeong, Jooyoung Choi, Sungwon Kim, Youngmin Ro, Tae-Hyun Oh, Doyeon Kim, Heonseok Ha, Sungroh Yoon:
FICGAN: Facial Identity Controllable GAN for De-identification. CoRR abs/2110.00740 (2021) - [i63]Jungbeom Lee, Jooyoung Choi, Jisoo Mok, Sungroh Yoon:
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation. CoRR abs/2110.06530 (2021) - [i62]Byunggook Na, Jaehee Jang, Seongsik Park, Sei Joon Kim, Joonoo Kim, Moon-Sik Jeong, Kwang-Choon Kim, Seon Heo, Yoonsang Kim, Sungroh Yoon:
Scalable Smartphone Cluster for Deep Learning. CoRR abs/2110.12172 (2021) - [i61]Heeseung Kim, Sungwon Kim, Sungroh Yoon:
Guided-TTS: Text-to-Speech with Untranscribed Speech. CoRR abs/2111.11755 (2021) - [i60]Sungmin Cha, Seonwoo Min, Sungroh Yoon, Taesup Moon:
Supervised Neural Discrete Universal Denoiser for Adaptive Denoising. CoRR abs/2111.12350 (2021) - [i59]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. CoRR abs/2112.01535 (2021) - 2020
- [j54]Jaekoo Lee, Ho Bae, Sungroh Yoon:
Anomaly Detection by Learning Dynamics From a Graph. IEEE Access 8: 64356-64365 (2020) - [c57]Sei Joon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon:
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection. AAAI 2020: 11270-11277 - [c56]Jihun Yi, Sungroh Yoon:
Patch SVDD: Patch-Level SVDD for Anomaly Detection and Segmentation. ACCV (6) 2020: 375-390 - [c55]Seonwoo Min, Hyun-Soo Choi, Hyeongrok Han, Minji Seo, Jin-Kook Kim, Junsang Park, Sunghoon Jung, Il-Young Oh, Byunghan Lee, Sungroh Yoon:
Bag of Tricks for Electrocardiogram Classification With Deep Neural Networks. CinC 2020: 1-4 - [c54]Saehyung Lee, Hyungyu Lee, Sungroh Yoon:
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization. CVPR 2020: 269-278 - [c53]Seongsik Park, Sei Joon Kim, Byunggook Na, Sungroh Yoon:
T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding. DAC 2020: 1-6 - [c52]Seongsik Park, Jongwan Kim, Sungroh Yoon:
Energy-aware Placement for SRAM-NVM Hybrid FPGAs. DATE 2020: 858-863 - [c51]Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon:
iCaps: An Interpretable Classifier via Disentangled Capsule Networks. ECCV (19) 2020: 314-330 - [c50]Sanghyun Baek, Jiyong Jang, Sung-Hwan Cho, Jong Min Choi, Sungroh Yoon:
Blood Pressure Prediction by a Smartphone Sensor using Fully Convolutional Networks. EMBC 2020: 188-191 - [c49]Siwon Kim, Jihun Yi, Eunji Kim, Sungroh Yoon:
Interpretation of NLP models through input marginalization. EMNLP (1) 2020: 3154-3167 - [c48]Jaehyeon Kim, Sungwon Kim, Jungil Kong, Sungroh Yoon:
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search. NeurIPS 2020 - [c47]Sang-gil Lee, Sungwon Kim, Sungroh Yoon:
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity. NeurIPS 2020 - [c46]Ho Bae, Dahuin Jung, Hyun-Soo Choi, Sungroh Yoon:
AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data. PSB 2020: 563-574 - [i58]Saehyung Lee, Hyungyu Lee, Sungroh Yoon:
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization. CoRR abs/2003.02484 (2020) - [i57]Seongsik Park, Sei Joon Kim, Byunggook Na, Sungroh Yoon:
T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding. CoRR abs/2003.11741 (2020) - [i56]Jaehyeon Kim, Sungwon Kim, Jungil Kong, Sungroh Yoon:
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search. CoRR abs/2005.11129 (2020) - [i55]Sang-gil Lee, Sungwon Kim, Sungroh Yoon:
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity. CoRR abs/2006.06280 (2020) - [i54]Changhwa Park, Jonghyun Lee, Jaeyoon Yoo, Minhoe Hur, Sungroh Yoon:
Joint Contrastive Learning for Unsupervised Domain Adaptation. CoRR abs/2006.10297 (2020) - [i53]Jihun Yi, Sungroh Yoon:
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation. CoRR abs/2006.16067 (2020) - [i52]Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon:
iCaps: An Interpretable Classifier via Disentangled Capsule Networks. CoRR abs/2008.08756 (2020) - [i51]Jihun Yi, Eunji Kim, Siwon Kim, Sungroh Yoon:
Information-Theoretic Visual Explanation for Black-Box Classifiers. CoRR abs/2009.11150 (2020) - [i50]Jangho Lee, Jaihyun Koh, Sungroh Yoon:
Momentum Contrast Speaker Representation Learning. CoRR abs/2010.11457 (2020) - [i49]Siwon Kim, Jihun Yi, Eunji Kim, Sungroh Yoon:
Interpretation of NLP models through input marginalization. CoRR abs/2010.13984 (2020)
2010 – 2019
- 2019
- [j53]Yonghoon Jeon, Siwon Kim, Hyun-Soo Choi, Yoon Gi Chung, Sun Ah Choi, Hunmin Kim, Sungroh Yoon, Hee Hwang, Ki Joong Kim:
Pediatric Sleep Stage Classification Using Multi-Domain Hybrid Neural Networks. IEEE Access 7: 96495-96505 (2019) - [j52]Uiwon Hwang, Jaewoo Park, Hyemi Jang, Sungroh Yoon, Nam Ik Cho:
PuVAE: A Variational Autoencoder to Purify Adversarial Examples. IEEE Access 7: 126582-126593 (2019) - [j51]Hyun-Soo Choi, Seonwoo Min, Siwon Kim, Ho Bae, Jee Eun Yoon, Inha Hwang, Dana Oh, Chang-Ho Yun, Sungroh Yoon:
Learning-Based Instantaneous Drowsiness Detection Using Wired and Wireless Electroencephalography. IEEE Access 7: 146390-146402 (2019) - [j50]Sanghyun Baek, Jiyong Jang, Sungroh Yoon:
End-to-End Blood Pressure Prediction via Fully Convolutional Networks. IEEE Access 7: 185458-185468 (2019) - [j49]Sunyoung Kwon, Ho Bae, Jeonghee Jo, Sungroh Yoon:
Comprehensive ensemble in QSAR prediction for drug discovery. BMC Bioinform. 20(1): 521:1-521:12 (2019) - [j48]Yongjun Hong, Uiwon Hwang, Jaeyoon Yoo, Sungroh Yoon:
How Generative Adversarial Networks and Their Variants Work: An Overview. ACM Comput. Surv. 52(1): 10:1-10:43 (2019) - [j47]Sunyoung Kwon, Sungroh Yoon:
End-to-End Representation Learning for Chemical-Chemical Interaction Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 16(5): 1436-1447 (2019) - [c45]Jeonghee Jo, Hyun-Soo Choi, Sungroh Yoon:
Prediction of Drug Classes with a Deep Neural Network using Drug Targets and Chemical Structure Data. BIBM 2019: 664-667 - [c44]Jungbeom Lee, Jangho Lee, Sungmin Lee, Sungroh Yoon:
Mutual Suppression Network for Video Prediction using Disentangled Features. BMVC 2019: 296 - [c43]Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon:
FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference. CVPR 2019: 5267-5276 - [c42]