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2020 – today
- 2023
[j72]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)- [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) - [c96]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 - [c95]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 - [c94]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 - [c93]Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon:
BigVGAN: A Universal Neural Vocoder with Large-Scale Training. ICLR 2023 - [c92]Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon:
On the Impact of Knowledge Distillation for Model Interpretability. ICML 2023: 12389-12410 - [c91]Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon:
Probabilistic Concept Bottleneck Models. ICML 2023: 16521-16540 - [c90]Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon:
Improving Visual Prompt Tuning for Self-supervised Vision Transformers. ICML 2023: 40075-40092 - [i110]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) - [i109]Dahuin Jung, Hyungyu Lee, Sungroh Yoon:
Sample-efficient Adversarial Imitation Learning. CoRR abs/2303.07846 (2023) - [i108]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) - [i107]Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon:
On the Impact of Knowledge Distillation for Model Interpretability. CoRR abs/2305.15734 (2023) - [i106]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) - [i105]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) - [i104]Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon:
Probabilistic Concept Bottleneck Models. CoRR abs/2306.01574 (2023) - [i103]Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon:
Improving Visual Prompt Tuning for Self-supervised Vision Transformers. CoRR abs/2306.05067 (2023) - [i102]Heeseung Kim, Sungwon Kim, Jiheum Yeom, Sungroh Yoon:
UnitSpeech: Speaker-adaptive Speech Synthesis with Untranscribed Data. CoRR abs/2306.16083 (2023) - [i101]Jiwon Park, Jeonghee Jo, Sungroh Yoon:
Mass Spectra Prediction with Structural Motif-based Graph Neural Networks. CoRR abs/2306.16085 (2023) - [i100]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) - [i99]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) - [i98]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) - [i97]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) - [i96]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) - [i95]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) - 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]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 - [i82]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) - [i81]Jungbeom Lee, Eunji Kim, Sungroh Yoon:
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation. CoRR abs/2103.08896 (2021) - [i80]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) - [i79]Eunji Kim, Siwon Kim, Minji Seo, Sungroh Yoon:
XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations. CoRR abs/2103.10663 (2021) - [i78]Seongsik Park, Dongjin Lee, Sungroh Yoon:
Noise-Robust Deep Spiking Neural Networks with Temporal Information. CoRR abs/2104.11169 (2021) - [i77]Seongsik Park, Sungroh Yoon:
Training Energy-Efficient Deep Spiking Neural Networks with Time-to-First-Spike Coding. CoRR abs/2106.02568 (2021) - [i76]Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon:
Accelerating Neural Architecture Search via Proxy Data. CoRR abs/2106.04784 (2021) - [i75]Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon:
Stein Latent Optimization for GANs. CoRR abs/2106.05319 (2021) - [i74]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) - [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]