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2020 – today
- 2023
[c123]Daewe Kim, Won-Young Lee, Jinwoo Shin, Eung-Hyuk Lee:
A Study on the Assistive System for Safe Elevator Get on of Wheelchair Users with Upper Limb Disability. ICEIC 2023: 1-4- [i117]Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin:
Modality-Agnostic Variational Compression of Implicit Neural Representations. CoRR abs/2301.09479 (2023) - [i116]Younghyun Kim, Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jaeho Lee, Jinwoo Shin:
Explaining Visual Biases as Words by Generating Captions. CoRR abs/2301.11104 (2023) - [i115]Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz:
Efficient Meta-Learning via Error-based Context Pruning for Implicit Neural Representations. CoRR abs/2302.00617 (2023) - [i114]Younggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel:
Multi-View Masked World Models for Visual Robotic Manipulation. CoRR abs/2302.02408 (2023) - [i113]Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin:
Video Probabilistic Diffusion Models in Projected Latent Space. CoRR abs/2302.07685 (2023) - [i112]Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin:
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables. CoRR abs/2303.00918 (2023) - [i111]Changyeon Kim, Jongjin Park, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee:
Preference Transformer: Modeling Human Preferences using Transformers for RL. CoRR abs/2303.00957 (2023) - [i110]Huiwon Jang, Hankook Lee, Jinwoo Shin:
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning. CoRR abs/2303.00996 (2023) - [i109]Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin:
Guiding Energy-based Models via Contrastive Latent Variables. CoRR abs/2303.03023 (2023) - [i108]Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin:
Imitating Graph-Based Planning with Goal-Conditioned Policies. CoRR abs/2303.11166 (2023) - 2022
- [j26]Taesik Gong
, Yeonsu Kim, Ryuhaerang Choi, Jinwoo Shin, Sung-Ju Lee:
Adapting to Unknown Conditions in Learning-Based Mobile Sensing. IEEE Trans. Mob. Comput. 21(10): 3470-3485 (2022) - [c122]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 - [c121]Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin:
Consistency Regularization for Adversarial Robustness. AAAI 2022: 8414-8422 - [c120]Sukmin Yun, Hankook Lee, Jaehyung Kim, Jinwoo Shin:
Patch-level Representation Learning for Self-supervised Vision Transformers. CVPR 2022: 8344-8353 - [c119]Jian Meng, Li Yang, Jinwoo Shin, Deliang Fan, Jae-Sun Seo:
Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning. CVPR 2022: 12247-12255 - [c118]Minsu Ko, Eunju Cha, Sungjoo Suh, Huijin Lee, Jae-Joon Han, Jinwoo Shin, Bohyung Han:
Self-Supervised Dense Consistency Regularization for Image-to-Image Translation. CVPR 2022: 18280-18289 - [c117]Jongjin Park, Sukmin Yun, Jongheon Jeong, Jinwoo Shin:
OpenCoS: Contrastive Semi-supervised Learning for Handling Open-Set Unlabeled Data. ECCV Workshops (2) 2022: 134-149 - [c116]Seong Hyeon Park, Jihoon Tack, Byeongho Heo, Jung-Woo Ha, Jinwoo Shin:
K-centered Patch Sampling for Efficient Video Recognition. ECCV (35) 2022: 160-176 - [c115]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 - [c114]Jaehyung Kim, Dongyeop Kang, Sungsoo Ahn, Jinwoo Shin:
What Makes Better Augmentation Strategies? Augment Difficult but Not too Different. ICLR 2022 - [c113]Jun Hyun Nam, Jaehyung Kim, Jaeho Lee, Jinwoo Shin:
Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation. ICLR 2022 - [c112]Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Model-augmented Prioritized Experience Replay. ICLR 2022 - [c111]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. ICLR 2022 - [c110]Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin:
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. ICLR 2022 - [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 - [i107]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) - [i106]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) - [i105]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) - [i104]Chaewon Kim, Jaeho Lee, Jinwoo Shin:
Zero-shot Blind Image Denoising via Implicit Neural Representations. CoRR abs/2204.02405 (2022) - [i103]Sukmin Yun, Hankook Lee, Jaehyung Kim, Jinwoo Shin:
Patch-level Representation Learning for Self-supervised Vision Transformers. CoRR abs/2206.07990 (2022) - [i102]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) - [i101]Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee:
Robust Continual Test-time Adaptation: Instance-aware BN and Prediction-balanced Memory. CoRR abs/2208.05117 (2022) - [i100]Kyungmin Lee, Jinwoo Shin:
RényiCL: Contrastive Representation Learning with Skew Rényi Divergence. CoRR abs/2208.06270 (2022) - [i99]Kisoo Kwon, Kuhwan Jung, Junghyun Park, Hwidong Na, Jinwoo Shin:
String-based Molecule Generation via Multi-decoder VAE. CoRR abs/2208.10718 (2022) - [i98]Jihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, Jinwoo Shin:
Meta-Learning with Self-Improving Momentum Target. CoRR abs/2210.05185 (2022) - [i97]Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin:
Scalable Neural Video Representations with Learnable Positional Features. CoRR abs/2210.06823 (2022) - [i96]Jun Hyun Nam, Sangwoo Mo, Jaeho Lee, Jinwoo Shin:
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling. CoRR abs/2212.02090 (2022) - [i95]Hyunwoo Kang, Sangwoo Mo, Jinwoo Shin:
OAMixer: Object-aware Mixing Layer for Vision Transformers. CoRR abs/2212.06595 (2022) - [i94]Jongheon Jeong, Seojin Kim, Jinwoo Shin:
Confidence-aware Training of Smoothed Classifiers for Certified Robustness. CoRR abs/2212.09000 (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)