Browse "Kim Jaechul Graduate School of AI(김재철AI대학원)" by Type Conference
Showing results 46 to 105 of 578
| 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 |
| Characterization of Simplicial Complexes by Counting Simplets Beyond Four Nodes Kim, Hyunju; Ko, Jihoon; Bu, Fanchen; Shin, Kijung, 2023 World Wide Web Conference, WWW 2023, pp.317 - 327, Association for Computing Machinery, Inc, 2023-05-02 |
| Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems Tong, Anh; Choi, Jaesik, AAAI Conference on Artificial Intelligence, pp.99159922, Association for the Advancement of Artificial Intelligence, 2021-02-04 |
| ClaimDiff: Comparing and Contrasting Claims on Contentious Issues Ko, Miyoung; Seong, Ingyu; Lee, Hwaran; Park, Joonsuk; Chang, Minsuk; Seo, Minjoon, ACL 2023, pp.4711 - 4731, Association for Computational Linguistics (ACL), 2023-07 |
| Classification of Edge-dependent Labels of Nodes in Hypergraphs Choe, Min Young; Kim, Sunwoo; Yoo, Jaemin; Shin, Kijung, 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, pp.298 - 309, Association for Computing Machinery, 2023-08-09 |
| 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 |
| CLIPstyler: Image Style Transfer with a Single Text Condition Kwon, Gihyun; Ye, Jong Chul, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.18041 - 18050, IEEE COMPUTER SOC, 2022-06 |
| 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 |
| Co2L: Contrastive Continual Learning Cha, Hyuntak; Lee, Jaeho; Shin, Jinwoo, 18th IEEE/CVF International Conference on Computer Vision (ICCV), pp.9496 - 9505, Computer Vision Foundation, IEEE Computer Society, 2021-10 |
| Coherent source imaging and dynamic support tracking for inverse scattering using compressive MUSIC Lee, OK; Kim, JM; Yoo, JJ; Jin, KH; Ye, Jong Chul, Wavelets and Sparsity XIV, SPIE, 2011-08 |
| Collaborative distillation for top-N recommendation Lee, Jae-Woong; Choi, Minjin; Lee, Jongwuk; Shim, Hyunjung, 19th IEEE International Conference on Data Mining, ICDM 2019, pp.369 - 378, Institute of Electrical and Electronics Engineers Inc., 2019-10 |
| 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 |
| Combined QoS Scheduling and Call Admission Control Algorithm in Cellular Networks Lee, Hyang-won; Chong, Song, WiOpt 2006, pp.1 - 10, IEEE, 2006-04 |
| Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction Chung, Hyungjin; Sim, Byeongsu; Ye, Jong Chul, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, pp.12403 - 12412, IEEE Computer Society, 2022-06 |
| Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data Baek, Kyungjune; Shim, Hyunjung, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, pp.7844 - 7854, IEEE Computer Society, 2022-06-22 |
| Compressed sensing pulse-echo mode thz tomography Jin, K.H.; Lee, O.K.; Ye, Jong Chul, 34th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2009, Optical Society of America, 2009-09-21 |
| Compressed Sensing Reconstruction of Statistical Parameter Map for Functional Diffuse Optical Tomography Lee, O; Kim, J; Bresler, Y; Ye, Jong Chul, IEEE International Symposium on Biomedical Imaging (ISBI), pp.94 - 97, IEEE EMBS, 2012-05 |
| Compressive dynamic aperture B-mode ultrasound imaging using annihilating filter-based low-rank interpolation Jin, Kyong Hwan; Han, Yo Seob; Ye, Jong Chul, 2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016, pp.1009 - 1012, IEEE Computer Society, 2016-04 |
| Compressive MUSIC with optimized partial support for joint sparse recovery Kim, JM; Lee, OK; Ye, Jong Chul, IEEE International Symposium on Information Theory(ISIT), IEEE, 2011-07 |
| Compressive subspace fitting for multiple measurement vectors Kim, Jong Min; Ye, Jong Chul, IEEE Statistical Signal Processing Workshop, pp.576 - 579, IEEE Signal Processing Society, 2012-08 |
| Conditional Temporal Neural Processes with Covariance Loss Yoo, Boseon; Lee, Jiwoo; Ju, Janghoon; Chung, Seijun; Kim, Soyeon; Choi, Jaesik, 38th International Conference on Machine Learning, ICML 2021, pp.12051 - 12061, ML Research Press, 2021-07 |
| Confident Multiple Choice Learning Lee, Kimin; Hwang, Changho; Park, Kyoung-Soo; Shin, Jinwoo, 34th International Conference on Machine Learning, International Machine Learning Society (IMLS), 2017-08-08 |
| 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 |
| Consistency Regularization for Certified Robustness of Smoothed Classifiers Jeong, Jongheon; Shin, Jinwoo, 34th Conference on Neural Information Processing Systems (NeurIPS) 2020, NeurIPS committee, 2020-12-07 |
| Constrained Bayesian Reinforcement Learning via Approximate Linear Programming Lee, Jongmin; Jang, Youngsoo; Poupart, Pascal; Kim, Kee-Eung, 26th International Joint Conference on Artificial Intelligence, pp.2088 - 2095, International Joint Conferences on Artificial Intelligence Organization (IJCAI), 2017-08-24 |
| Constrained Bayesian Reinforcement Learning via Approximate Linear Programming Lee, Jongmin; Jang, Youngsoo; Poupart, Pascal; Kim, Kee-Eung, Scaling-Up Reinforcement Learning Workshop at ECML PKDD 2017, Scaling-Up Reinforcement Learning Workshop at ECML PKDD 2017, 2017-09-18 |
| Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning Lee, Kimin; SEO, YOUNGGYO; Lee, Seunghyun; Shin, Jinwoo, Thirty-seventh International Conference on Machine Learning, ICML 2020, pp.5713 - 5722, International Conference on Machine Learning, 2020-07-15 |
| Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles Kim, Jung-Hun; Yun, Seyoung; Jeong, Minchan; Nam, Junhyun; Shin, Jinwoo; Combes, Richard, 26th International Conference on Artificial Intelligence and Statistics, AISTATS 2023, pp.1624 - 1645, ML Research Press, 2023-04-26 |
| 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 |
| Continuous Localization Using Sparsity Constraints for High-Density Super-resolution Microscopy Min, Junhong; Vonesch, C´edric; Olivier, Nicolas; Kirshner, Hagai; Manley, Suliana; Ye, Jong Chul; Unser, Michael, IEEE International Symposium on Biomedical Imaging (ISBI), pp.177 - 180, IEEE, 2013-04 |
| Contrast Agent Removal for Brain CT Angiography Using Switchable CycleGAN with AdaIN and Histogram Equalization Han, Inhwa; Kim, Boah; Kim, Eung Yeop; Ye, Jong Chul, 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2022, pp.262 - 265, Institute of Electrical and Electronics Engineers Inc., 2022-06 |
| Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning Meng, Jian; Yang, Li; Shin, Jinwoo; Fan, Deliang; Seo, Jae-Sun, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, pp.12247 - 12255, IEEE Computer Society, 2022-06 |
| Control-theoretic MAX-MIN flow control with minimum rate guarantee Chong, Song; Lee, Sang-ho; Kang, Sungho, IEEE GLOBECOM 2001, pp.2412 - 2418, IEEE, 2001-11-25 |
| Controllability-Aware Unsupervised Skill Discovery Park, Seohong; Lee, Kimin; Lee, Youngwoon; Abbeel, Pieter, 40th International Conference on Machine Learning, ICML 2023, International Machine Learning Society (IMLS), 2023-07-26 |
| Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning Kim, Sungnyun; Bae, Sangmin; Yun, Seyoung, The IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, pp.7537 - 7547, IEEE/CVF, 2023-06-20 |
| Cost-effective End-to-end Information Extraction for Semi-structured Document Images Hwang, Wonseok; Lee, Hyunji; Yim, Jinyeong; Kim, Geewook; Seo, Minjoon, EMNLP 2021, Association for Computational Linguistics (ACL), 2021-11-08 |
| CSMA over Time-varying Channels: Optimality, Uniqueness and Limited Backoff Rate Se-Young Yun; Shin, Jinwoo; Yung Yi, ACM MOBIHOC, pp.137 - 146, ACM, 2013-07-29 |
| CSMA using the Bethe Approximation for Utility Maximization Yun, Se-Young; Shin, Jinwoo; Yi, Yung, IEEE International Symposium on Information Theory (ISIT) 2013, pp.206 - 210, IEEE, 2013-07-07 |
| CUDA: Curriculum of Data Augmentation for Long-tailed Recognition Ahn, Sumyeong; Ko, Jongwoo; Yun, Seyoung, Eleventh International Conference on Learning Representations, ICLR 2023, International Conference on Learning Representations, 2023-05-03 |
| Currency boosts content dissemination in noncooperative ad-hoc networks Lee, Kyunghan; Chong, Song, IEEE GLOBECOM 2005, pp.2767 - 2771, IEEE, 2005-11-28 |
| CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation Oh, Yujin; Ye, Jong Chul, 17th European Conference on Computer Vision (ECCV), pp.627 - 643, SPRINGER INTERNATIONAL PUBLISHING AG, 2022-10 |
| 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-efficient Autoregressive Document Retrieval for Fact Verification Thorne, James, The 3rd Workshop on Simple and Efficient Natural Language Processing, Association for Computational Linguistics (ACL), 2022-12-07 |
| Database reasoning over text Thorne, James; Yazdani, Majid; Saeidi, Marzieh; Silvestri, Fabrizio; Riedel, Sebastian; Halevy, Alon, Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL-IJCNLP 2021, pp.3091 - 3104, Association for Computational Linguistics (ACL), 2021-08-03 |
| Decision Transformer: Reinforcement Learning via Sequence Modeling Chen, Lili; Kevin Lu; Aravind Rajeswaran; Lee, Kimin; Aditya Grover; Misha Laskin; Pieter Abbeel; et al, 35th Conference on Neural Information Processing Systems (NeurIPS), Neural Information Processing Systems Foundation, 2021-12 |
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