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2020 – today
- 2022
[c112]Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. AAAI 2022: 7957-7965- [c111]Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin:
Consistency Regularization for Adversarial Robustness. AAAI 2022: 8414-8422 - [c110]Seung-Ho Yum, Na-Yeon Park, Jinwoo Shin, Su-Hong Eom, Eung-Hyuk Lee:
A Study on Window-based Path Driving through Identifying the Target Walking in an Ultrasonic Sensor-based Follow-up Collaborative Robot. ICEIC 2022: 1-6 - [c109]Hwijoon Lim, Yechan Kim, Sukmin Yun, Jinwoo Shin, Dongsu Han:
TSPipe: Learn from Teacher Faster with Pipelines. ICML 2022: 13302-13312 - [c108]Kyunghwan Son, Junsu Kim, Sungsoo Ahn, Roben Delos Reyes, Yung Yi, Jinwoo Shin:
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning. ICML 2022: 20347-20368 - [c107]Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin:
Time Is MattEr: Temporal Self-supervision for Video Transformers. ICML 2022: 25804-25816 - [i99]Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin:
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. CoRR abs/2202.10571 (2022) - [i98]Jongjin Park, Younggyo Seo, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee:
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning. CoRR abs/2203.10050 (2022) - [i97]Jun Hyun Nam, Jaehyung Kim, Jaeho Lee, Jinwoo Shin:
Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation. CoRR abs/2204.02070 (2022) - [i96]Chaewon Kim, Jaeho Lee, Jinwoo Shin:
Zero-shot Blind Image Denoising via Implicit Neural Representations. CoRR abs/2204.02405 (2022) - [i95]Sukmin Yun, Hankook Lee, Jaehyung Kim, Jinwoo Shin:
Patch-level Representation Learning for Self-supervised Vision Transformers. CoRR abs/2206.07990 (2022) - [i94]Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin:
Time Is MattEr: Temporal Self-supervision for Video Transformers. CoRR abs/2207.09067 (2022) - 2021
- [j25]Youngseok Bae
, Jinwoo Shin, Sang-Gug Lee, Hoon Kim:
Field Experiment of Photonic Radar for Low-RCS Target Detection and High-Resolution Image Acquisition. IEEE Access 9: 63559-63566 (2021) - [c106]Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
GTA: Graph Truncated Attention for Retrosynthesis. AAAI 2021: 531-539 - [c105]Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin:
MASKER: Masked Keyword Regularization for Reliable Text Classification. AAAI 2021: 13578-13586 - [c104]Sejun Park, Jaeho Lee, Chulhee Yun, Jinwoo Shin:
Provable Memorization via Deep Neural Networks using Sub-linear Parameters. COLT 2021: 3627-3661 - [c103]Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin:
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble. CoRL 2021: 1702-1712 - [c102]Insoo Kim, Seungju Han, Ji-Won Baek, Seong-Jin Park, Jae-Joon Han, Jinwoo Shin:
Quality-Agnostic Image Recognition via Invertible Decoder. CVPR 2021: 12257-12266 - [c101]Hyuntak Cha, Jaeho Lee, Jinwoo Shin:
Co2L: Contrastive Continual Learning. ICCV 2021: 9496-9505 - [c100]Jongheon Jeong, Jinwoo Shin:
Training GANs with Stronger Augmentations via Contrastive Discriminator. ICLR 2021 - [c99]Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin:
Layer-adaptive Sparsity for the Magnitude-based Pruning. ICLR 2021 - [c98]Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee:
i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning. ICLR 2021 - [c97]Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Learning to Sample with Local and Global Contexts in Experience Replay Buffer. ICLR 2021 - [c96]Sejun Park, Chulhee Yun, Jaeho Lee, Jinwoo Shin:
Minimum Width for Universal Approximation. ICLR 2021 - [c95]Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin:
Self-Improved Retrosynthetic Planning. ICML 2021: 5486-5495 - [c94]Divyam Madaan, Jinwoo Shin, Sung Ju Hwang:
Learning to Generate Noise for Multi-Attack Robustness. ICML 2021: 7279-7289 - [c93]Younggyo Seo, Lili Chen, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee:
State Entropy Maximization with Random Encoders for Efficient Exploration. ICML 2021: 9443-9454 - [c92]Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. IJCAI 2021: 2673-2679 - [c91]Amir Zandieh, Insu Han, Haim Avron, Neta Shoham, Chaewon Kim, Jinwoo Shin:
Scaling Neural Tangent Kernels via Sketching and Random Features. NeurIPS 2021: 1062-1073 - [c90]Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu:
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning. NeurIPS 2021: 3029-3042 - [c89]Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin:
RoMA: Robust Model Adaptation for Offline Model-based Optimization. NeurIPS 2021: 4619-4631 - [c88]Jaeho Lee, Jihoon Tack, Namhoon Lee, Jinwoo Shin:
Meta-Learning Sparse Implicit Neural Representations. NeurIPS 2021: 11769-11780 - [c87]Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin:
Object-aware Contrastive Learning for Debiased Scene Representation. NeurIPS 2021: 12251-12264 - [c86]Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin:
Improving Transferability of Representations via Augmentation-Aware Self-Supervision. NeurIPS 2021: 17710-17722 - [c85]Junsu Kim, Younggyo Seo, Jinwoo Shin:
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning. NeurIPS 2021: 28336-28349 - [c84]Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Do-Guk Kim, Jinwoo Shin:
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness. NeurIPS 2021: 30153-30168 - [c83]Changho Hwang, Taehyun Kim, Sunghyun Kim, Jinwoo Shin, KyoungSoo Park:
Elastic Resource Sharing for Distributed Deep Learning. NSDI 2021: 721-739 - [i93]Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Model-Augmented Q-learning. CoRR abs/2102.03866 (2021) - [i92]Younggyo Seo, Lili Chen, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee:
State Entropy Maximization with Random Encoders for Efficient Exploration. CoRR abs/2102.09430 (2021) - [i91]Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin:
Consistency Regularization for Adversarial Robustness. CoRR abs/2103.04623 (2021) - [i90]Jongheon Jeong, Jinwoo Shin:
Training GANs with Stronger Augmentations via Contrastive Discriminator. CoRR abs/2103.09742 (2021) - [i89]Insu Han, Haim Avron, Neta Shoham, Chaewon Kim, Jinwoo Shin:
Random Features for the Neural Tangent Kernel. CoRR abs/2104.01351 (2021) - [i88]Seewoo Lee, Youngduck Choi, Juneyoung Park, Byungsoo Kim, Jinwoo Shin:
Consistency and Monotonicity Regularization for Neural Knowledge Tracing. CoRR abs/2105.00607 (2021) - [i87]Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Sung Ju Hwang, Eunho Yang, Jinwoo Shin:
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. CoRR abs/2105.00795 (2021) - [i86]Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin:
Self-Improved Retrosynthetic Planning. CoRR abs/2106.04880 (2021) - [i85]Amir Zandieh, Insu Han, Haim Avron, Neta Shoham, Chaewon Kim, Jinwoo Shin:
Scaling Neural Tangent Kernels via Sketching and Random Features. CoRR abs/2106.07880 (2021) - [i84]Hyuntak Cha, Jaeho Lee, Jinwoo Shin:
Co2L: Contrastive Continual Learning. CoRR abs/2106.14413 (2021) - [i83]Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin:
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble. CoRR abs/2107.00591 (2021) - [i82]Jongjin Park, Sukmin Yun, Jongheon Jeong, Jinwoo Shin:
OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data. CoRR abs/2107.08943 (2021) - [i81]Sihyun Yu, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin:
Abstract Reasoning via Logic-guided Generation. CoRR abs/2107.10493 (2021) - [i80]Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin:
Object-aware Contrastive Learning for Debiased Scene Representation. CoRR abs/2108.00049 (2021) - [i79]Junsu Kim, Younggyo Seo, Jinwoo Shin:
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning. CoRR abs/2110.13625 (2021) - [i78]Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu:
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning. CoRR abs/2110.14118 (2021) - [i77]Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin:
RoMA: Robust Model Adaptation for Offline Model-based Optimization. CoRR abs/2110.14188 (2021) - [i76]Jaeho Lee, Jihoon Tack, Namhoon Lee, Jinwoo Shin:
Meta-Learning Sparse Implicit Neural Representations. CoRR abs/2110.14678 (2021) - [i75]Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Do-Guk Kim, Jinwoo Shin:
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness. CoRR abs/2111.09277 (2021) - [i74]Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin:
Improving Transferability of Representations via Augmentation-Aware Self-Supervision. CoRR abs/2111.09613 (2021) - [i73]Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, Sung-Ju Lee:
DAPPER: Performance Estimation of Domain Adaptation in Mobile Sensing. CoRR abs/2111.11053 (2021) - [i72]Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. CoRR abs/2112.08796 (2021) - 2020
- [j24]Kug-Jin Jung, Sung Sik Nam, Jinwoo Shin, Young-Chai Ko:
Unified statistical performance of FSO link due to the combined effect of weak turbulence and generalized pointing error with HD and IM/DD. J. Commun. Networks 22(6): 476-483 (2020) - [j23]Seokhyun Kim, Kimin Lee, Yeonkeun Kim, Jinwoo Shin, Seungwon Shin, Song Chong:
Dynamic Control for On-Demand Interference-Managed WLAN Infrastructures. IEEE/ACM Trans. Netw. 28(1): 84-97 (2020) - [j22]Jaeyoung Choi, Sangwoo Moon, Jiin Woo, Kyunghwan Son, Jinwoo Shin, Yung Yi:
Information Source Finding in Networks: Querying With Budgets. IEEE/ACM Trans. Netw. 28(5): 2271-2284 (2020) - [c82]Insoo Kim, Seungju Han, Seong-Jin Park, Ji-Won Baek, Jinwoo Shin, Jae-Joon Han, Changkyu Choi:
DiscFace: Minimum Discrepancy Learning for Deep Face Recognition. ACCV (5) 2020: 358-374 - [c81]Sukmin Yun, Jongjin Park, Kimin Lee, Jinwoo Shin:
Regularizing Class-Wise Predictions via Self-Knowledge Distillation. CVPR 2020: 13873-13882 - [c80]Jaehyung Kim, Jongheon Jeong, Jinwoo Shin:
M2m: Imbalanced Classification via Major-to-Minor Translation. CVPR 2020: 13893-13902 - [c79]Junhyeok Jang, Donghyun Gouk, Jinwoo Shin, Myoungsoo Jung:
Platform-Agnostic Lightweight Deep Learning for Garbage Collection Scheduling in SSDs. HotStorage 2020 - [c78]Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee:
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning. ICLR 2020 - [c77]Sejun Park, Jaeho Lee, Sangwoo Mo, Jinwoo Shin:
Lookahead: A Far-sighted Alternative of Magnitude-based Pruning. ICLR 2020 - [c76]Sungsoo Ahn, Younggyo Seo, Jinwoo Shin:
Learning What to Defer for Maximum Independent Sets. ICML 2020: 134-144 - [c75]Insu Han, Haim Avron, Jinwoo Shin:
Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix. ICML 2020: 3984-3993 - [c74]Hankook Lee, Sung Ju Hwang, Jinwoo Shin:
Self-supervised Label Augmentation via Input Transformations. ICML 2020: 5714-5724 - [c73]Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin:
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning. ICML 2020: 5757-5766 - [c72]Divyam Madaan, Jinwoo Shin, Sung Ju Hwang:
Adversarial Neural Pruning with Latent Vulnerability Suppression. ICML 2020: 6575-6585 - [c71]Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin:
Guiding Deep Molecular Optimization with Genetic Exploration. NeurIPS 2020 - [c70]In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Time-Reversal Symmetric ODE Network. NeurIPS 2020 - [c69]Jongheon Jeong, Jinwoo Shin:
Consistency Regularization for Certified Robustness of Smoothed Classifiers. NeurIPS 2020 - [c68]Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning. NeurIPS 2020 - [c67]Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning. NeurIPS 2020 - [c66]Jaeho Lee, Sejun Park, Jinwoo Shin:
Learning Bounds for Risk-sensitive Learning. NeurIPS 2020 - [c65]Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin:
Learning from Failure: De-biasing Classifier from Biased Classifier. NeurIPS 2020 - [c64]Younggyo Seo, Kimin Lee, Ignasi Clavera Gilaberte, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel:
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning. NeurIPS 2020 - [c63]Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin:
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. NeurIPS 2020 - [i71]Sejun Park, Jaeho Lee, Sangwoo Mo, Jinwoo Shin:
Lookahead: a Far-Sighted Alternative of Magnitude-based Pruning. CoRR abs/2002.04809 (2020) - [i70]Sangwoo Mo, Minsu Cho, Jinwoo Shin:
Freeze Discriminator: A Simple Baseline for Fine-tuning GANs. CoRR abs/2002.10964 (2020) - [i69]Sukmin Yun, Jongjin Park, Kimin Lee, Jinwoo Shin:
Regularizing Class-wise Predictions via Self-knowledge Distillation. CoRR abs/2003.13964 (2020) - [i68]Jaehyung Kim, Jongheon Jeong, Jinwoo Shin:
M2m: Imbalanced Classification via Major-to-minor Translation. CoRR abs/2004.00431 (2020) - [i67]Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin:
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning. CoRR abs/2005.06800 (2020) - [i66]Jongheon Jeong, Jinwoo Shin:
Consistency Regularization for Certified Robustness of Smoothed Classifiers. CoRR abs/2006.04062 (2020) - [i65]Jaeho Lee, Sejun Park, Jinwoo Shin:
Learning Bounds for Risk-sensitive Learning. CoRR abs/2006.08138 (2020) - [i64]Sejun Park, Chulhee Yun, Jaeho Lee, Jinwoo Shin:
Minimum Width for Universal Approximation. CoRR abs/2006.08859 (2020) - [i63]Sungsoo Ahn, Younggyo Seo, Jinwoo Shin:
Learning What to Defer for Maximum Independent Sets. CoRR abs/2006.09607 (2020) - [i62]Kyunghwan Son, Sungsoo Ahn, Roben Delos Reyes, Jinwoo Shin, Yung Yi:
QOPT: Optimistic Value Function Decentralization for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2006.12010 (2020) - [i61]Divyam Madaan, Jinwoo Shin, Sung Ju Hwang:
Learning to Generate Noise for Robustness against Multiple Perturbations. CoRR abs/2006.12135 (2020) - [i60]Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin:
Learning from Failure: Training Debiased Classifier from Biased Classifier. CoRR abs/2007.02561 (2020) - [i59]Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin:
Guiding Deep Molecular Optimization with Genetic Exploration. CoRR abs/2007.04897 (2020) - [i58]Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Learning to Sample with Local and Global Contexts in Experience Replay Buffer. CoRR abs/2007.07358 (2020) - [i57]Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin:
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. CoRR abs/2007.08176 (2020) - [i56]Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning. CoRR abs/2007.08844 (2020) - [i55]In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Time-Reversal Symmetric ODE Network. CoRR abs/2007.11362 (2020) - [i54]Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Few-shot Visual Reasoning with Meta-analogical Contrastive Learning. CoRR abs/2007.12020 (2020) - [i53]Jaeyoung Choi, Sangwoo Moon, Jiin Woo, Kyunghwan Son, Jinwoo Shin, Yung Yi:
Information Source Finding in Networks: Querying with Budgets. CoRR abs/2009.00795 (2020) - [i52]Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin:
A Deeper Look at the Layerwise Sparsity of Magnitude-based Pruning. CoRR abs/2010.07611 (2020) - [i51]Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee:
i-Mix: A Strategy for Regularizing Contrastive Representation Learning. CoRR abs/2010.08887 (2020) - [i50]Younggyo Seo, Kimin Lee, Ignasi Clavera, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel:
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning. CoRR abs/2010.13303 (2020) - [i49]Sejun Park, Jaeho Lee, Chulhee Yun, Jinwoo Shin:
Provable Memorization via Deep Neural Networks using Sub-linear Parameters. CoRR abs/2010.13363 (2020) - [i48]Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin:
MASKER: Masked Keyword Regularization for Reliable Text Classification. CoRR abs/2012.09392 (2020)
2010 – 2019
- 2019
- [j21]Jaeyoung Choi, Jinwoo Shin, Yung Yi:
Information source localization with protector diffusion in networks. J. Commun. Networks 21(2): 136-147 (2019) - [j20]Hyeryung Jang, Jinwoo Shin, Yung Yi:
Simulation-Based Distributed Coordination Maximization Over Networks. IEEE Trans. Control. Netw. Syst. 6(2): 713-726 (2019) - [c62]Jungseul Ok, Sewoong Oh, Yunhun Jang, Jinwoo Shin, Yung Yi:
Iterative Bayesian Learning for Crowdsourced Regression. AISTATS 2019: 1486-1495 - [c61]Jae-Hong Kwon, Young-Chai Ko, Jinwoo Shin:
Energy Efficient Power Allocation for Multi-User MIMO Downlink Systems with Statistical Delay Constraints. CSCN 2019: 1-6 - [c60]Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee:
Incremental Learning with Unlabeled Data in the Wild. CVPR Workshops 2019: 29-32 - [c59]Jinwoo Shin, Su-Hong Eom, Chol-U. Lee, Eung-Hyuk Lee:
Techniques for Improving the Reliability of Prosthesis Wearer Muscle Signals Using Pressure and EMG Sensors. EMBC 2019: 5882-5885 - [c58]Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee:
Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild. ICCV 2019: 312-321 - [c57]Sun-Jong Na, Jinwoo Shin, Su-Hong Eom, Eung-Hyuk Lee:
A Study on the Activation of Femoral Prostheses: Focused on the Development of a Decision Tree based Gait Phase Identification Algorithm. ICINCO (1) 2019: 775-780 - [c56]Sangwoo Mo, Minsu Cho, Jinwoo Shin:
InstaGAN: Instance-aware Image-to-Image Translation. ICLR (Poster) 2019 - [c55]Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin:
Learning What and Where to Transfer. ICML 2019: 3030-3039 - [c54]Jongheon Jeong, Jinwoo Shin:
Training CNNs with Selective Allocation of Channels. ICML 2019: 3080-3090 - [c53]Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin:
Robust Inference via Generative Classifiers for Handling Noisy Labels. ICML 2019: 3763-3772 - [c52]Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin:
Spectral Approximate Inference. ICML 2019: 5052-5061 - [c51]Taesik Gong, Yeonsu Kim, Jinwoo Shin, Sung-Ju Lee:
Towards Condition-Independent Deep Mobile Sensing. MobiSys 2019: 554-555 - [c50]Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin:
Mining GOLD Samples for Conditional GANs. NeurIPS 2019: 6167-6178 - [c49]Taesik Gong, Yeonsu Kim, Jinwoo Shin, Sung-Ju Lee:
MetaSense: few-shot adaptation to untrained conditions in deep mobile sensing. SenSys 2019: 110-123 - [c48]Yujin Kwon, Hyoungshick Kim, Jinwoo Shin, Yongdae Kim:
Bitcoin vs. Bitcoin Cash: Coexistence or Downfall of Bitcoin Cash? IEEE Symposium on Security and Privacy 2019: 935-951 - [i47]