Browse "Kim Jaechul Graduate School of AI(김재철AI대학원)" by Type Conference
Showing results 1 to 60 of 577
| A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure Lee, Juho; James, Lancelot F; Choi, Seungjin; Caron, François, Artificial Intelligence & Statistics 2019(AISTATS 2019), Artificial Intelligence & Statistics, 2019-04-17 |
| A deeper convolutional neural network for denoising low-dose CT images Kim, Byeongjoon; Shim, Hyunjung; Baek, Jongduk, Medical Imaging 2018: Physics of Medical Imaging, SPIE, 2018-02 |
| A distributed max-min flow control algorithm for multi-rate multicast flows Lee, Hyang-won; cho, jeong woo; Chong, Song, IEEE GLOBECOM 2004, pp.1140 - 1146, IEEE, 2004-11-29 |
| A distributed utility max-min flow control algorithm Lee, Hyang-won; Chong, Song, ICC 2005, pp.1063 - 1067, IEEE, 2005-05-16 |
| A flow control algorithm achieving application level fairness Moon, ByongKwon; Mo, Jeonghoon; Ryoo, Jeongdong; Chong, Song; Song, HoYoung, HUT-ICCE 2006 1st International Conference on Communications and Electronics, pp.13 - 18, HUT-ICCE 2006 1st International Conference on Communications and Electronics, 2006-10-10 |
| A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise Ko, Jongwoo; Yi, Bongsoo; Yun, Seyoung, 37th AAAI Conference on Artificial Intelligence, AAAI 2023, pp.8325 - 8333, AAAI Press, 2023-02-10 |
| A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles Shin, Jinwoo; Andrew E. Gelfand; Michael Chertkov, NIPS2013, NIPS, 2013-12-05 |
| A group of people acts like a black body in a wireless mesh network Shrestha, Sachin Lal; Lee, Anseok; Lee, Jinsung; Seo, Dong-Wook; Lee, Kyunghan; Lee, Junhee; Chong, Song; et al, IEEE GLOBECOM 2007, pp.4834 - 4839, IEEE, 2007-11-26 |
| A linear system approach to serving Gaussian traffic in packet-switching networks Chong, Song; Shin, Minsu; Chong, Hyun Hee, IEEE GLOBECOM 2001, pp.2347 - 2352, IEEE, 2001-11-25 |
| A multi-mode modulator for multi-domain few-shot classification Liu, Yanbin; Lee, Juho; Linchao, Zhou; Chen, Ling; Shi, Humphrey; Yang, Yi, 18th IEEE/CVF International Conference on Computer Vision (ICCV), pp.8433 - 8442, IEEE Computer Society, 2021-10-13 |
| A Multi-Task Benchmark for Korean Legal Language Understanding and Judgement Prediction Hwang, Wonseok; Lee, Dongjun; Cho, Kyoungyeon; Lee, Hanuhl; Seo, Minjoon, NeurIPS 2022, Neural Information Processing Systems Foundation, 2022-12 |
| A Novel K-Space Annihilating Filter Method for Unification between Compressed Sensing and Parallel MRI Jin, Kyung-Hwan; Lee, Dong-wook; Ye, Jong-Chul, 12th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2015, IEEE, 2015-04-17 |
| A POMDP-Based Optimal Control of P300-Based Brain-Computer Interfaces Park, Jaeyoung; Kim, Kee-Eung; Song, Yoon-Kyu, 25th AAAI Conference on Artificial Intelligence, AAAI 2011, pp.1559 - 1562, Association for the Advancement of Artificial Intelligence (AAAI), 2011-08 |
| A probabilistic approach to realistic face synthesis Shim, Hyunjung; Ha, Inwoo; Rhee, Taehyun; Kim, James Dokyoon; Kim, Changyeong, 2010 17th IEEE International Conference on Image Processing, ICIP 2010, pp.1817 - 1820, IEEE Signal Processing Society, 2010-09 |
| A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Lee, Kimin; Lee, Kibok; Lee, Honglak; Shin, Jinwoo, 32nd Conference on Neural Information Processing Systems (NIPS), Neural Information Processing Systems Foundation, 2018-12-06 |
| A simple yet powerful deep active learning with snapshot ensembles Jung, Seohyon; Kim, Sanghyun; Lee, Juho, The Eleventh International Conference on Learning Representations, International Conference on Learning Representations, 2023-05-01 |
| A Single Multi-Task Deep Neural Network with Post-Processing for Object Detection with Reasoning and Robotic Grasp Detection Park, Dongwon; Seo, Yonghyeok; Shin, Dongju; Choi, Jaesik; Chun, Se Young, IEEE International Conference on Robotics and Automation, ICRA 2020, pp.7300 - 7306, Institute of Electrical and Electronics Engineers Inc., 2020-05-31 |
| A statistical framework for image-based relighting Shim, Hyunjung; Chen, Tsuhan, 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05, pp.1093 - 1096, Institute of Electrical and Electronics Engineers Inc., 2005-03 |
| Accurate inversion of absorption and scattering in diffuse optical tomography without iterative green's function update Lee, Okkyun; Ye, Jong Chul, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, pp.661 - 664, Institute of Electrical and Electronics Engineers Inc., 2014-04 |
| AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning Yun, Jihun; Lozano, Aurelie C.; Yang, Eunho, International Conference on Artificial Intelligence and Statistics, JMLR-JOURNAL MACHINE LEARNING RESEARCH, 2022-03 |
| Adapting Text-based Dialogue State Tracker for Spoken Dialogues Yoon, Jaeseok; Hwang, Seunghyun; Kim, Kee-Eung; Ran, Han; Bang, Jeong-Uk, 24th SIGdial Workshop on DSTC11: The Eleventh Dialog System Technology Challenge, pp.81 - 88, Association for Computational Linguistics, 2023-09-11 |
| Adaptive and Explainable Deployment of Navigation Skills via Hierarchical Deep Reinforcement Learning Lee, Kyowoon; Kim, Seongun; Choi, Jaesik, IEEE International Conference on Robotics and Automation (ICRA 2023), IEEE, 2023-05-30 |
| Adaptive environment map for relighting: Using cameras and projected light Shim, Hyunjung; Chen, Tsuhan, 2006 Conference on Computer Vision and Pattern Recognition Workshops, Institute of Electrical and Electronics Engineers Inc., 2006-06 |
| Adaptive Multi-pattern Reuse in Multi-cell Networks Son, Kyuho; Yi, Yung; Chong, Song, Wiopt 2009, pp.249 - 258, ACM, 2009-06-23 |
| Adaptive Proximal Gradient Methods for Structured Neural Networks Yun, Jihun; Aurelie, Lozano; Yang, Eunho, 35th Conference on Neural Information Processing Systems (NeurIPS), Neural Information Processing Systems, 2021-12-10 |
| Adiabatic Persistent Contrastive Divergence Learning Jang, Hyerung; Choi, Hyungwon; Yi, Yung; Shin, Jinwoo, IEEE International Symposium on Information Theory (ISIT), IEEE, 2017-06-27 |
| 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 |
| AHP: Learning to Negative Sample for Hyperedge Prediction Hwang, Hyunjin; Lee, Seungwoo; Park, Chanyoung; Shin, Kijung, ACM SIGIR Conference on Research and Development in Information Retrieval, pp.2237 - 2242, ACM, 2022-07-11 |
| AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation MATSUNAGA, DAIKI EDDY; Lee, Jongmin; Yoon, Jaeseok; Leonardos, Stefanos; Abbeel, Pieter; Kim, Kee-Eung, The 37th Conference on Neural Information Processing Systems (NeurIPS 2023), Neural information processing systems foundation, 2023-12-13 |
| Alternative attempts can increase transmission opportunities in 802.11-based wireless mesh networks Lee, Junhee; Lee, Kyunghan; Lee, Jinsung; Shrestha, Sachin Lal; Lee, Anseok; Chong, Song, ICACT 2008, pp.609 - 614, IEEE, 2008-02-17 |
| An example-based face relighting Shim, Hyunjung; Chen, Tsuhan, The Engineering Reality of Virtual Reality 2012, SPIE, 2012-01 |
| An extensible framework for verification of numerical claims Thorne, James; Vlachos, Andreas, Software Demonstrations at the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017, pp.37 - 40, Association for Computational Linguistics, 2017-04-05 |
| An Open Wireless Mesh Testbed Architecture with Data Collection and Software Distribution Platform Shrestha, Sachin Lal; Lee, Jinsung; Lee, Anseok; Lee, Kyunghan; Lee, Junhee; Chong, Song, 3rd International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, IEEE, 2007-05-21 |
| An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks Jeong, Haedong; Han, Jiyeon; Choi, Jaesik, The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), pp.1052 - 1059, Association for the Advancement of Artificial Intelligence, 2022-02-26 |
| AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment Kim, Kangyeol; Park, Sunghyun; Lee, Jaeseong; Chung, Sunghyo; Lee, Junsoo; Choo, Jaegul, 17th European Conference on Computer Vision (ECCV), pp.414 - 430, SPRINGER INTERNATIONAL PUBLISHING AG, 2022-10 |
| Annihilating Filter-based Low Rank Hankel Matrix Approach for Biomedical Imaging and Image Processing Ye, Jong Chul, Mathematics in Imaging, OSA (Optical Society of America), 2016-07 |
| Approximate Linear Programming for Constrained Partially Observable Markov Decision Processes Poupart, Pascal; Malhotra, Aarti; Pei Pei; Kim, Kee Eung; Goh, Bongseok; Bowling, Michael, 29th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence (AAAI), 2015-01 |
| Are Edge Weights in Summary Graphs Useful? - A Comparative Study Kang, Shinhwan; Lee, Kyuhan; Shin, Kijung, 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2022, pp.54 - 67, Springer Science and Business Media Deutschland GmbH, 2022-05 |
| Asymmetric Multi-task Learning Based on Task Relatedness and Confidence Lee, Giwoong; Yang, Eunho; Hwang, Sungju, International Conference on Machine Learning (ICML) 33, International Machine Learning Society (IMLS), 2016-06-19 |
| Attention-based dropout layer for weakly supervised object localization Choe, Junsuk; Shim, Hyunjung, 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019, pp.2214 - 2223, IEEE Computer Society, 2019-06 |
| 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 |
| Automated fact checking: Task formulations, methods and future directions Thorne, James; Vlachos, Andreas, 27th International Conference on Computational Linguistics, COLING 2018, pp.3346 - 3359, Association for Computational Linguistics (ACL), 2018-08-20 |
| Automatic color realism enhancement for virtual reality Shim, Hyunjung; Lee, Seungkyu, 19th IEEE Virtual Reality Conference, VR 2012, pp.59 - 60, IEEE Computer Society, 2012-03 |
| Automatic Correction of Internal Units in Generative Neural Networks Tousi, Ali; Jeong, Haedong; Han, Jiyeon; Choi, Hwanil; Choi, Jaesik, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.7932 - 7940, IEEE/CVF, 2021-06-23 |
| AVocaDo: Strategy for Adapting Vocabulary to Downstream Domain Hong, Jimin; Kim, TaeHee; Lim, Hyesu; Choo, Jaegul, The 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Association for Computational Linguistics, 2021-11-07 |
| B-Pref: Benchmarking Preference-Based Reinforcement Learning Lee, Kimin; Laura Smith; Anca Dragan; Pieter Abbeel, 35th Conference on Neural Information Processing Systems (NeurIPS), Neural Information Processing Systems Foundation, 2021-12 |
| Bayesian inference on random simple graphs with power law degree distributions Lee, Juho; Heakulani, Creighton; Ghahramani, Z; James, Lancelot F.; Choi, Seungjin, International Conference on Machine Learning(ICML 2017), International Machine Learning Society (IMLS), 2017-08-08 |
| Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning Lee, Haeju; Jeong, Minchan; Yun, Seyoung; Kim, Kee-Eung, The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 Association for Computational Linguistics, 2023-12-08 |
| Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification Bae, Woong; Yoo, Jaejun; Ye, Jong Chul, 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp.1141 - 1149, IEEE Computer Society and the Computer Vision Foundation (CVF), 2017-07 |
| Beyond Max-weight Scheduling: A Reinforcement Learning-based Approach Bae, Jeongmin; Lee, Joohyun; Chong, Song, 17th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2019, Institute of Electrical and Electronics Engineers Inc., 2019-06 |
| Beyond Single Path Integrated Gradients for Reliable Input Attribution via Randomized Path Sampling Jeon, Giyoung; Jeong, Haedong; Choi, Jaesik, 19th IEEE/CVF International Conference on Computer Vision, ICCV 2023, Institute of Electrical and Electronics Engineers Inc., 2023-10-04 |
| Beyond the Chinese restaurant and Pitman-Yor processes: statistical models with double power-law behavior Ayed, Fadhel; Lee, Juho; Caron, François, International Conference on Machine Learning(ICML 2019), International Conference on Machine Learning, 2019-06-12 |
| BiasAdv: Bias-Adversarial Augmentation for Model Debiasing Lim, Jongin; Kim, Youngdong; Kim, Byungjai; Ahn, Changho; Shin, Jinwoo; Yang, Eunho; Han, Seungju, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, IEEE Computer Society, 2023-06-20 |
| BiaSwap: Removing Dataset Bias with Bias-Tailored Swapping Augmentation Kim, Eungyeup; Lee, Jihyeon; Choo, Jaegul, 18th IEEE/CVF International Conference on Computer Vision (ICCV), pp.14972 - 14981, Computer Vision Foundation, IEEE Computer Society, 2021-10-11 |
| 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 |
| Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer Lim, Sungjun; Ye, Jong Chul, 2nd International Workshop on Machine Learning for Medical Image Reconstruction, MLMIR 2019, pp.173 - 180, Springer, 2019-10-17 |
| 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 |
| Bucket Renormalization for Approximate Inference Ahn, Sungsoo; Chertkov, Michael; Weller, Adrian; Shin, Jinwoo, ICML 2018, International Machine Learning Society (IMLS), 2018-07 |
| Can Large Language Models Capture Dissenting Human Voices? Lee, Noah; An, Na Min; Thorne, James, Empirical Methods in Natural Language Processing, EMNLP 2023, Association for Computational Linguistics, 2023-12-09 |
| Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks? Choi, Hwanil; Chang, Wonjoon; Choi, Jaesik, Thirty-First International Joint Conference on Artificial Intelligence, IJCAI-22, pp.2888 - 2894, International Joint Conferences on Artificial Intelligence Organization, 2022-07-28 |
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