Browse "AI-Conference Papers(학술대회논문)" by Author Shin, Jinwoo
Showing results 1 to 60 of 82
| 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 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 |
| Adiabatic Persistent Contrastive Divergence Learning Jang, Hyerung; Choi, Hyungwon; Yi, Yung; Shin, Jinwoo, IEEE International Symposium on Information Theory (ISIT), IEEE, 2017-06-27 |
| 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 |
| Bucket Renormalization for Approximate Inference Ahn, Sungsoo; Chertkov, Michael; Weller, Adrian; Shin, Jinwoo, ICML 2018, International Machine Learning Society (IMLS), 2018-07 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning Son, Kyunghwan; Yi, Yung; Kim, Junsu; Shin, Jinwoo; Ahn, Sungsoo; Reyes, Roben D Delos, The 39th International Conference on Machine Learning, ICML 2022, International Conference on Machine Learning, 2022-07-18 |
| Distributed Coordination Maximization over Networks: A Stochastic Approximation Approach Jang, Hyeryung; Shin, Jinwoo; Yi, Yung; Yun, SeYoung, ACM MOBIHOC, ACM, 2016-07-07 |
| Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning Kim, Jaehyung; Hur, Youngbum; Park, Sejun; Yang, Eunho; Hwang, Sung Ju; Shin, Jinwoo, 34th Conference on Neural Information Processing Systems (NeurIPS) 2020, Neural Information Processing Systems, 2020-12-07 |
| Estimating the Rumor Source with Anti-Rumor in Social Networks Choi, Jaeyoung; Shin, Jinwoo; Yi, Yung; Moon, Sangwoo, ICNP Workshop on Machine Learning, IEEE, 2016-11-08 |
| Faster Greedy MAP Inference for Determinantal Point Processes Han, Insu; Park, Kyoung-Soo; Prabhanjan Kambadur; Shin, Jinwoo, 34th International Conference on Machine Learning, ICML 2017, pp.2215 - 2228, International Machine Learning Society (IMLS), 2017-08-08 |
| Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning Kim, Youngsung; Shin, Jinwoo; Yang, Eunho; Hwang, Sung Ju, Thirty-fourth Conference on Neural Information Processing Systems, NeurIPS 2020, NeurIPS, 2020-12-07 |
| GENERATING VIDEOS WITH DYNAMICS-AWARE IMPLICIT GENERATIVE ADVERSARIAL NETWORKS Yu, Sihyun; Tack, Jihoon; Mo, Sangwoo; Kim, Hyunsu; Kim, Junho; Ha, Jung-Woo; Shin, Jinwoo, 10th International Conference on Learning Representations, ICLR 2022, International Conference on Learning Representations, ICLR, 2022-04 |
| GTA: Graph Truncated Attention for Retrosynthesis Seo, Seung-Woo; Song, You Young; Yang, June Yong; Bae, Seohui; Lee, Hankook; Shin, Jinwoo; Hwang, Sung Ju; et al, AAAI Conference on Artificial Intelligence(AAAI), pp.531 - 539, AAAI, 2021-02-02 |
| Guide Your Agent with Adaptive Multimodal Rewards Kim, Changyeon; Seo, Younggyo; Liu, Hao; Lee, Lisa; Shin, Jinwoo; Lee, Honglak; Lee, Kimin, 37th Conference on Neural Information Processing Systems (NeurIPS), Neural Information Processing Systems Foundation, 2023-12-12 |
| Guiding Deep Molecular Optimization with Genetic Exploration Ahn, Sungsoo; Kim, Junsu; Lee, Hankook; Shin, Jinwoo, 34th Conference on Neural Information Processing Systems (NeurIPS) 2020, Neural Information Processing Systems, 2020-12-07 |
| Hierarchical Novelty Detection for Visual Object Recognition Lee, Kibok; Lee, Kimin; Min, Kyle; Zhang, Yuting; Shin, Jinwoo; Lee, Honglak, 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.1034 - 1042, IEEE Computer Society, 2018-06-20 |
| Improving Transferability of Representations via Augmentation-Aware Self-Supervision Lee, Hankook; Lee, Kibok; Lee, Kimin; Lee, Honglak; Shin, Jinwoo, 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Neural Information Processing Systems, 2021-12-07 |
| Incentivizing Strategic Users for Social Diffusion: Quantity or Quality? Ok, Jungseul; Shin, Jinwoo; Yi, Yung, IEEE Conference on Computer Communications (IEEE INFOCOM), IEEE Communications Society, 2017-05-02 |
| Incremental learning with unlabeled data in the wild Lee, Kibok; Lee, Kimin; Shin, Jinwoo; Lee, Honglak, 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019, pp.29 - 32, IEEE Computer Society, 2019-06 |
| Influence Maximization over Strategic Diffusion in Social Networks Ok, Jeongseul; Choi, Jaeyoung; Jin, Youngmi; Yi, Yung; Shin, Jinwoo, CISS 2014, IEEE, 2014-03-19 |
| InstaGAN: Instance-aware Image-to-Image Translation Mo, Sangwoo; Cho, Minsu; Shin, Jinwoo, ICLR 2019, ICLR committee, 2019-05-07 |
| K-centered Patch Sampling for Efficient Video Recognition Park, Seong Hyeon; Tack, Jihoon; Heo, Byeongho; Ha, Jung-Woo; Shin, Jinwoo, 17th European Conference on Computer Vision (ECCV), pp.160 - 176, SPRINGER INTERNATIONAL PUBLISHING AG, 2022-10 |
| Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning Kim, Junsu; Seo, Younggyo; Shin, Jinwoo, 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Neural Information Processing Systems, 2021-12-07 |
| Large-scale log-determinant computation through stochastic Chebyshev expansions Han, Insu; Malioutov, Dmitry; Shin, Jinwoo, ICML 2015, International Machine Learning Society (IMLS), 2015-07-07 |
| Learning Bounds for Risk-sensitive Learning Lee, Jaeho; Park, Sejun; Shin, Jinwoo, 34th Conference on Neural Information Processing Systems (NeurIPS) 2020, Neural Information Processing Systems, 2020-12-07 |
| Learning to Sample with Local and Global Contexts in Experience Replay Buffers Oh, Youngmin; Lee, Kimin; Shin, Jinwoo; Yang, Eunho; Hwang, Sung Ju, The Ninth International Conference on Learning Representations (ICLR), International Conference on Learning Representations (ICLR), 2021-05-04 |
| Learning to Specialize with Knowledge Distillation for Visual Question Answering Mun, Jonghwan; Lee, Kimin; Shin, Jinwoo; Han, Bohyung, 32nd Conference on Neural Information Processing Systems (NIPS), NEURAL INFORMATION PROCESSING SYSTEMS (NIPS), 2018-12-04 |
| Learning What and Where to Transfer Jang, Yunhun; Lee, Hankook; Hwang, Sung Ju; Shin, Jinwoo, 36th International Conference on Machine Learning (ICML), ICML committee, 2019-06-13 |
| MASKER: Masked Keyword Regularization for Reliable Text Classification Moon, Seung Jun; Mo, Sangwoo; Lee, Kimin; Lee, Jaeho; Shin, Jinwoo, 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence, pp.13578 - 13586, ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE, 2021-02-06 |
| Max-Product Belief Propagation for Linear Programming: Applications to Combinatorial Optimization Shin, Jinwoo; Park, Sejun, UAI 2015, Association for Uncertainty in Artificial Intelligence, 2015-07-14 |
| Meta-Learning with Self-Improving Momentum Target Tack, Jihoon; Park, Jongjin; Lee, Hankook; Lee, Jaeho; Shin, Jinwoo, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, Neural information processing systems foundation, 2022-11 |
| Minimum Weight Perfect Matching via Blossom Belief Propagation Ahn, Sungsoo; Park, Sejun; Misha Chertkov; Shin, Jinwoo, NIPS 2015, Neural Information Processing Systems Foundation, 2015-12-08 |
| Mining GOLD Samples for Conditional GANs Mo, Sangwoo; Kim, Chiheon; Kim, Sungwoong; Cho, Minsu; Shin, Jinwoo, 33rd Conference on Neural Information Processing Systems (NeurIPS), NIPS committee, 2019-12-10 |
| Model-augmented Prioritized Experience Replay Oh, Youngmin; Shin, Jinwoo; Yang, Eunho; Hwang, Sung Ju, 10th International Conference on Learning Representations, ICLR 2022, International Conference on Learning Representations, ICLR, 2022-04-25 |
| Mosaic: Extremely Low-resolution RFID Vision for Visually-anonymized Action Recognition Shim, Seungwoo; Shin, Hyeonho; Cho, Myeongkyun; Lee, Youngki; Shin, Jinwoo; Kim, SongMin, 22nd ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2023, pp.247 - 260, Association for Computing Machinery, Inc, 2023-05-12 |
| Multi-View Masked World Models for Visual Robotic Manipulation Seo, Younggyo; Kim, Junsu; James, Stephen; Lee, Kimin; Shin, Jinwoo; Abbeel, Pieter, 40th International Conference on Machine Learning, ICML 2023, International Machine Learning Society (IMLS), 2023-07-25 |
| Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning Lee, Kimin; Lee, Kibok; Shin, Jinwoo; Lee, Honglak, Eighth International Conference on Learning Representations, ICLR 2020, International Conference on Learning Representations, 2020-04-27 |
| Neural Adaptive Content-aware Internet Video Delivery Yeo, Hyunho; Jun, Youngmok; Kim, Jaehong; Shin, Jinwoo; Han, Dongsu, 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI), pp.645 - 661, USENIX, 2018-10-10 |
| NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation Gong, Taesik; Jeong, Jongheon; Kim, Taewon; Kim, Yewon; Shin, Jinwoo; Lee, Sung-Ju, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, Neural information processing systems foundation, 2022-11 |
| Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning Park, Jongjin; Seo, Younggyo; Liu, Chang; Zhao, Li; Qin, Tao; Shin, Jinwoo; Liu, Tie-Yan, 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Neural Information Processing Systems, 2021-12-07 |
| Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble Lee, Seunghyun; Seo, Younggyo; Lee, Kimin; Abbeel, Pieter; Shin, Jinwoo, 5th Annual Conference on Robot Learning(coRL 2021), CoRL Conference Chair, 2021-11 |
| On maximizing diffusion speed in social networks: Impact of random seeding and clustering Ok, Jungseul; Jin, Youngmi; Shin, Jinwoo; Yi, Yung, ACM Sigmetrics 2014, ACM Special Interest Group on Performance Evaluation (SIGMETRICS), 2014-06-18 |
| On the Progressive Spread over Strategic Diffusion: Asymptotic and Computation Ok, Jungseul; Shin, Jinwoo; Yi, Yung, IEEE INFOCOM2015, IEEE Communications Society, 2015-04-20 |
| Optimal CSMA: A Survey Se-Young Yun; Yung Yi; Shin, Jinwoo; Do Young Eun, IEEE ICCS, IEEE, 2012-11-21 |
| Optimality of Belief Propagation for Crowdsourced Classification Ok, Jeongseul; Shin, Jinwoo; Yi, Yung, 33rd International Conference on Machine Learning, ICML 2016, pp.803 - 818, International Machine Learning Society (IMLS), 2016-06-20 |
| Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild Lee, Kibok; Lee, Kimin; Shin, Jinwoo; Lee, Honglak, IEEE International Conference on Computer Vision, pp.312 - 321, IEEE, 2019-10-29 |
| Patch-level Representation Learning for Self-supervised Vision Transformers Yun, Sukmin; Lee, Hankook; Kim, Jaehyung; Shin, Jinwoo, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, pp.8344 - 8353, IEEE Computer Society, 2022-06 |
| Practical Message-Passing Framework for large-Scale Combinatorial Optimization Cho, Inho; Park, Soya; Park, Sejun; Han, Dongsu; Shin, Jinwoo, IEEE International Conference on Big Data (IEEE BigData 2015), IEEE, 2015-11-01 |
| Preference Transformer: Modeling Human Preferences using Transformers for RL Kim, Changyeon; Park, Jongjin; Shin, Jinwoo; Lee, Honglak; Abbeel, Pieter; Lee, Kimin, Eleventh International Conference on Learning Representations, ICLR 2023, International Conference on Learning Representations, 2023-05-01 |
| Quality-Agnostic Image Recognition via Invertible Decoder Kim, Insoo; Han, Seungju; Baek, Ji-Won; Park, Seong-Jin; Han, Jae-Joon; Shin, Jinwoo, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2021-06 |
Discover
Type
- 605 Conference
Date issued
- 387 2020 - 2024
- 172 2010 - 2019
- 46 2001 - 2009