Network adiabatic theorem: an efficient randomized protocol for contention resolution. - Shreevatsa Rajagopalan; Devavrat Shah; Jinwoo Shin (SIGMETRICS/Performance, 2009)

Distributed Random Access Algorithm: Scheduling and Congesion Control - Libin Jiang; Devavrat Shah; Jinwoo Shin; Jean C. Walrand (CoRR, 2009)

Randomized Scheduling Algorithm for Queueing Networks - Devavrat Shah; Jinwoo Shin (CoRR, 2009)

Dynamics in congestion games. - Devavrat Shah; Jinwoo Shin (SIGMETRICS, 2010)

Delay optimal queue-based CSMA. - Devavrat Shah; Jinwoo Shin (SIGMETRICS, 2010)

Efficient Queue-based CSMA with Collisions - Devavrat Shah; Jinwoo Shin (CoRR, 2010)

Distributed Random Access Algorithm: Scheduling and Congestion Control. - Libin Jiang; Devavrat Shah; Jinwoo Shin; Jean C. Walrand (IEEE Trans. Inf. Theory, 2010)

Distributed averaging via lifted Markov chains. - Kyomin Jung; Devavrat Shah; Jinwoo Shin (IEEE Trans. Inf. Theory, 2010)

Improved Mixing Condition on the Grid for Counting and Sampling Independent Sets. - Ricardo Restrepo; Jinwoo Shin; Prasad Tetali; Eric Vigoda; Linji Yang (FOCS, 2011)

Medium Access Using Queues. - Devavrat Shah; Jinwoo Shin; Prasad Tetali (FOCS, 2011)

Efficient Distributed Medium Access - Devavrat Shah; Jinwoo Shin; Prasad Tetali (CoRR, 2011)

Near Optimality in Covering and Packing Games by Exposing Global Information - Maria-Florina Balcan; Sara Krehbiel; Georgios Piliouras; Jinwoo Shin (CoRR, 2011)

Counting Independent Sets Using the Bethe Approximation. - Venkat Chandrasekaran; Misha Chertkov; David Gamarnik; Devavrat Shah; Jinwoo Shin (SIAM J. Discret. Math., 2011)

Minimally invasive mechanism design: Distributed covering with carefully chosen advice. - Maria-Florina Balcan; Sara Krehbiel; Georgios Piliouras; Jinwoo Shin (CDC, 2012)

Optimal CSMA: A survey. - Se-Young Yun; Yung Yi; Jinwoo Shin; Do Young Eun (ICCS, 2012)

DRAM Scheduling Policy for GPGPU Architectures Based on a Potential Function. - Nagesh B. Lakshminarayana; Jaekyu Lee; Hyesoon Kim; Jinwoo Shin (IEEE Comput. Archit. Lett., 2012)

From Local to Global Stability in Stochastic Processing Networks through Quadratic Lyapunov Functions - Antonius B. Dieker; Jinwoo Shin (CoRR, 2012)

Complexity of Bethe Approximation. - Jinwoo Shin (AISTATS, 2012)

On the impact of global information on diffusion of innovations over social networks. - Youngmi Jin; Jungseul Ok; Yung Yi; Jinwoo Shin (INFOCOM Workshops, 2013)

Hybrid client-server and peer-to-peer caching systems with selfish peers. - Youngmi Jin; Yung Yi; George Kesidis; Fatih Kocak; Jinwoo Shin (INFOCOM, 2013)

Belief Propagation for Linear Programming. - Andrew E. Gelfand; Jinwoo Shin; Michael Chertkov (ISIT, 2013)

CSMA using the Bethe approximation for utility maximization. - Se-Young Yun; Jinwoo Shin; Yung Yi (ISIT, 2013)

CSMA over time-varying channels: optimality, uniqueness and limited backoff rate. - Se-Young Yun; Jinwoo Shin; Yung Yi (MobiHoc, 2013)

A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles. - Jinwoo Shin; Andrew E. Gelfand; Michael Chertkov (NIPS, 2013)

Loop Calculus and Bootstrap-Belief Propagation for Perfect Matchings on Arbitrary Graphs. - Michael Chertkov; Andrew Gelfand; Jinwoo Shin (CoRR, 2013)

CSMA using Statistical Physics toward Throughput and Utility Optimal CSMA. - Se-Young Yun; Jinwoo Shin; Yung Yi (CoRR, 2013)

Influence maximization over strategic diffusion in social networks. - Jungseul Ok; Youngmi Jin; Jaeyoung Choi 001; Jinwoo Shin; Yung Yi (CISS, 2014)

Distributed learning for utility maximization over CSMA-based wireless multihop networks. - Hyeryung Jang; Se-Young Yun; Jinwoo Shin; Yung Yi (INFOCOM, 2014)

Provable per-link delay-optimal CSMA for general wireless network topology. - Dongmyung Lee; Donggyu Yun; Jinwoo Shin; Yung Yi; Se-Young Yun (INFOCOM, 2014)

On maximizing diffusion speed in social networks: impact of random seeding and clustering. - Jungseul Ok; Youngmi Jin; Jinwoo Shin; Yung Yi (SIGMETRICS, 2014)

Scheduling using interactive oracles: connection between iterative optimization and low-complexity scheduling. - Jinwoo Shin; Tonghoon Suk (SIGMETRICS, 2014)

Max-Product Belief Propagation for Linear Programming: Convergence and Correctness. - Sejun Park; Jinwoo Shin (CoRR, 2014)

Near-Optimality in Covering Games by Exposing Global Information. - Maria-Florina Balcan; Sara Krehbiel; Georgios Piliouras; Jinwoo Shin (ACM Trans. Economics and Comput., 2014)

The Complexity of Approximating a Bethe Equilibrium. - Jinwoo Shin (IEEE Trans. Inf. Theory, 2014)

Practical message-passing framework for large-scale combinatorial optimization. - Inho Cho; Soya Park; Sejun Park; Dongsu Han; Jinwoo Shin (IEEE BigData, 2015)

Large-scale log-determinant computation through stochastic Chebyshev expansions. - Insu Han; Dmitry Malioutov; Jinwoo Shin (ICML, 2015)

On the progressive spread over strategic diffusion: Asymptotic and computation. - Jungseul Ok; Jinwoo Shin; Yung Yi (INFOCOM, 2015)

Minimum Weight Perfect Matching via Blossom Belief Propagation. - Sungsoo Ahn; Sejun Park; Michael Chertkov; Jinwoo Shin (NIPS, 2015)

Max-Product Belief Propagation for Linear Programming: Applications to Combinatorial Optimization. - Sejun Park; Jinwoo Shin (UAI, 2015)

CSMA Using the Bethe Approximation: Scheduling and Utility Maximization. - Se-Young Yun; Jinwoo Shin; Yung Yi (IEEE Trans. Inf. Theory, 2015)

Impacts of Selfish Behaviors on the Scalability of Hybrid Client-Server and Peer-to-Peer Caching Systems. - Youngmi Jin; George Kesidis; Jinwoo Shin; Fatih Kocak; Yung Yi (IEEE/ACM Trans. Netw., 2015)

Optimality of Belief Propagation for Crowdsourced Classification. - Jungseul Ok; Sewoong Oh; Jinwoo Shin; Yung Yi (ICML, 2016)

Estimating the rumor source with anti-rumor in social networks. - Jaeyoung Choi 001; Sangwoo Moon; Jinwoo Shin; Yung Yi (ICNP, 2016)

Just-in-time WLANs: On-demand interference-managed WLAN infrastructures. - Kimin Lee; Yeonkeun Kim; Seokhyun Kim; Jinwoo Shin; Seungwon Shin; Song Chong (INFOCOM, 2016)

Distributed coordination maximization over networks: a stochastic approximation approach. - Hyeryung Jang; Se-Young Yun; Jinwoo Shin; Yung Yi (MobiHoc, 2016)

Synthesis of MCMC and Belief Propagation. - Sungsoo Ahn; Michael Chertkov; Jinwoo Shin (NIPS, 2016)

MCMC assisted by Belief Propagaion. - Sungsoo Ahn; Michael Chertkov; Jinwoo Shin (CoRR, 2016)

Approximating the Spectral Sums of Large-scale Matrices using Chebyshev Approximations. - Insu Han; Dmitry Malioutov; Haim Avron; Jinwoo Shin (CoRR, 2016)

Breaking the Trapping Sets in LDPC Codes: Check Node Removal and Collaborative Decoding. - Soonyoung Kang; Jaekyun Moon; Jeongseok Ha; Jinwoo Shin (IEEE Trans. Commun., 2016)

On Maximizing Diffusion Speed Over Social Networks With Strategic Users. - Jungseul Ok; Youngmi Jin; Jinwoo Shin; Yung Yi (IEEE/ACM Trans. Netw., 2016)

Delay Optimal CSMA With Linear Virtual Channels Under a General Topology. - Donggyu Yun; Dongmyung Lee; Se-Young Yun; Jinwoo Shin; Yung Yi (IEEE/ACM Trans. Netw., 2016)

Distributed Medium Access Over Time-Varying Channels. - Se-Young Yun; Jinwoo Shin; Yung Yi (IEEE/ACM Trans. Netw., 2016)

Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models. - Sejun Park; Yunhun Jang; Andreas Galanis; Jinwoo Shin; Daniel Stefankovic; Eric Vigoda (AISTATS, 2017)

On the Delay Scaling Laws of Cache Networks. - Boram Jin; Daewoo Kim; Se-Young Yun; Jinwoo Shin; Seongik Hong; Byoung-Joon Lee; Yung Yi (CFI, 2017)

Faster Greedy MAP Inference for Determinantal Point Processes. - Insu Han; Prabhanjan Kambadur; KyoungSoo Park; Jinwoo Shin (ICML, 2017)

Confident Multiple Choice Learning. - Kimin Lee; Changho Hwang; KyoungSoo Park; Jinwoo Shin (ICML, 2017)

Rumor source detection under querying with untruthful answers. - Jaeyoung Choi 001; Sangwoo Moon; Jiin Woo; Kyunghwan Son; Jinwoo Shin; Yung Yi (INFOCOM, 2017)

Incentivizing strategic users for social diffusion: Quantity or quality? - Jungseul Ok; Jinwoo Shin; Yung Yi (INFOCOM, 2017)

Adiabatic Persistent Contrastive Divergence learning. - Hyeryung Jang; Hyungwon Choi; Yung Yi; Jinwoo Shin (ISIT, 2017)

Gauging Variational Inference. - Sungsoo Ahn; Michael Chertkov; Jinwoo Shin (NIPS, 2017)

Simplified Stochastic Feedforward Neural Networks. - Kimin Lee; Jaehyung Kim 001; Song Chong; Jinwoo Shin (CoRR, 2017)

Efficient Learning for Crowdsourced Regression. - Jungseul Ok; Sewoong Oh; Jinwoo Shin; Yunhun Jang; Yung Yi (CoRR, 2017)

Sequential Local Learning for Latent Graphical Models. - Sejun Park; Eunho Yang; Jinwoo Shin (CoRR, 2017)

Contextual Multi-armed Bandits under Feature Uncertainty. - Se-Young Yun; Jun Hyun Nam; Sangwoo Mo; Jinwoo Shin (CoRR, 2017)

Scheduling Using Interactive Optimization Oracles for Constrained Queueing Networks. - Tonghoon Suk; Jinwoo Shin (Math. Oper. Res., 2017)

Convergence and Correctness of Max-Product Belief Propagation for Linear Programming. - Sejun Park; Jinwoo Shin (SIAM J. Discret. Math., 2017)

Approximating Spectral Sums of Large-Scale Matrices using Stochastic Chebyshev Approximations. - Insu Han; Dmitry Malioutov; Haim Avron; Jinwoo Shin (SIAM J. Sci. Comput., 2017)

Gauged Mini-Bucket Elimination for Approximate Inference. - Sungsoo Ahn; Michael Chertkov; Jinwoo Shin; Adrian Weller (AISTATS, 2018)

Hierarchical Novelty Detection for Visual Object Recognition. - Kibok Lee 003; Kimin Lee; Kyle Min 001; Yuting Zhang 001; Jinwoo Shin; Honglak Lee (CVPR, 2018)

Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples. - Kimin Lee; Honglak Lee; Kibok Lee 003; Jinwoo Shin (ICLR (Poster), 2018)

Bucket Renormalization for Approximate Inference. - Sungsoo Ahn; Michael Chertkov; Adrian Weller; Jinwoo Shin (ICML, 2018)

Stochastic Chebyshev Gradient Descent for Spectral Optimization. - Insu Han; Haim Avron; Jinwoo Shin (NeurIPS, 2018)

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks. - Kimin Lee; Kibok Lee 003; Honglak Lee; Jinwoo Shin (NeurIPS, 2018)

Learning to Specialize with Knowledge Distillation for Visual Question Answering. - Jonghwan Mun; Kimin Lee; Jinwoo Shin; Bohyung Han (NeurIPS, 2018)

Neural Adaptive Content-aware Internet Video Delivery. - Hyunho Yeo; Youngmok Jung; Jaehong Kim 002; Jinwoo Shin; Dongsu Han (OSDI, 2018)

Multi-armed Bandit with Additional Observations. - Donggyu Yun; Sumyeong Ahn; Alexandre Proutière; Jinwoo Shin; Yung Yi (SIGMETRICS (Abstracts), 2018)

Optimizing Spectral Sums using Randomized Chebyshev Expansions. - Insu Han; Haim Avron; Jinwoo Shin (CoRR, 2018)

Anytime Neural Prediction via Slicing Networks Vertically. - Hankook Lee; Jinwoo Shin (CoRR, 2018)

Maximum Weight Matching Using Odd-Sized Cycles: Max-Product Belief Propagation and Half-Integrality. - Sungsoo Ahn; Michael Chertkov; Andrew E. Gelfand; Sejun Park; Jinwoo Shin (IEEE Trans. Inf. Theory, 2018)

Optimal Inference in Crowdsourced Classification via Belief Propagation. - Jungseul Ok; Sewoong Oh; Jinwoo Shin; Yung Yi (IEEE Trans. Inf. Theory, 2018)

Game Theoretic Perspective of Optimal CSMA. - Hyeryung Jang; Se-Young Yun; Jinwoo Shin; Yung Yi (IEEE Trans. Wirel. Commun., 2018)

Iterative Bayesian Learning for Crowdsourced Regression. - Jungseul Ok; Sewoong Oh; Yunhun Jang; Jinwoo Shin; Yung Yi (AISTATS, 2019)

Energy Efficient Power Allocation for Multi-User MIMO Downlink Systems with Statistical Delay Constraints. - Jae-Hong Kwon; Young-Chai Ko; Jinwoo Shin (CSCN, 2019)

Incremental Learning with Unlabeled Data in the Wild. - Kibok Lee 003; Kimin Lee; Jinwoo Shin; Honglak Lee (CVPR Workshops, 2019)

Techniques for Improving the Reliability of Prosthesis Wearer Muscle Signals Using Pressure and EMG Sensors. - Jinwoo Shin; Su-Hong Eom; Chol-U. Lee; Eung-Hyuk Lee (EMBC, 2019)

Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild. - Kibok Lee 003; Kimin Lee; Jinwoo Shin; Honglak Lee (ICCV, 2019)

A Study on the Activation of Femoral Prostheses: Focused on the Development of a Decision Tree based Gait Phase Identification Algorithm. - Sun-Jong Na; Jinwoo Shin; Su-Hong Eom; Eung-Hyuk Lee (ICINCO (1), 2019)

InstaGAN: Instance-aware Image-to-Image Translation. - Sangwoo Mo; Minsu Cho; Jinwoo Shin (ICLR (Poster), 2019)

Learning What and Where to Transfer. - Yunhun Jang; Hankook Lee; Sung Ju Hwang; Jinwoo Shin (ICML, 2019)

Training CNNs with Selective Allocation of Channels. - Jongheon Jeong; Jinwoo Shin (ICML, 2019)

Robust Inference via Generative Classifiers for Handling Noisy Labels. - Kimin Lee; Sukmin Yun; Kibok Lee 003; Honglak Lee; Bo Li 026; Jinwoo Shin (ICML, 2019)

Spectral Approximate Inference. - Sejun Park; Eunho Yang; Se-Young Yun; Jinwoo Shin (ICML, 2019)

Towards Condition-Independent Deep Mobile Sensing. - Taesik Gong; Yeonsu Kim; Jinwoo Shin; Sung-Ju Lee (MobiSys, 2019)

Mining GOLD Samples for Conditional GANs. - Sangwoo Mo; Chiheon Kim; Sungwoong Kim; Minsu Cho; Jinwoo Shin (NeurIPS, 2019)

MetaSense: few-shot adaptation to untrained conditions in deep mobile sensing. - Taesik Gong; Yeonsu Kim; Jinwoo Shin; Sung-Ju Lee (SenSys, 2019)

Bitcoin vs. Bitcoin Cash: Coexistence or Downfall of Bitcoin Cash? - Yujin Kwon; Hyoungshick Kim; Jinwoo Shin; Yongdae Kim (IEEE Symposium on Security and Privacy, 2019)

A Simple Randomization Technique for Generalization in Deep Reinforcement Learning. - Kimin Lee; Kibok Lee 003; Jinwoo Shin; Honglak Lee (CoRR, 2019)

Rethinking Data Augmentation: Self-Supervision and Self-Distillation. - Hankook Lee; Sung Ju Hwang; Jinwoo Shin (CoRR, 2019)

Information source localization with protector diffusion in networks. - Jaeyoung Choi 001; Jinwoo Shin; Yung Yi (J. Commun. Networks, 2019)

Simulation-Based Distributed Coordination Maximization Over Networks. - Hyeryung Jang; Jinwoo Shin; Yung Yi (IEEE Trans. Control. Netw. Syst., 2019)

DiscFace: Minimum Discrepancy Learning for Deep Face Recognition. - Insoo Kim; Seungju Han 001; Seong-Jin Park; Ji-Won Baek; Jinwoo Shin; Jae-Joon Han; Changkyu Choi (ACCV (5), 2020)

M2m: Imbalanced Classification via Major-to-Minor Translation. - Jaehyung Kim 001; Jongheon Jeong; Jinwoo Shin (CVPR, 2020)

Regularizing Class-Wise Predictions via Self-Knowledge Distillation. - Sukmin Yun; Jongjin Park; Kimin Lee; Jinwoo Shin (CVPR, 2020)

Platform-Agnostic Lightweight Deep Learning for Garbage Collection Scheduling in SSDs. - Junhyeok Jang; Donghyun Gouk; Jinwoo Shin; Myoungsoo Jung (HotStorage, 2020)

Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning. - Kimin Lee; Kibok Lee 003; Jinwoo Shin; Honglak Lee (ICLR, 2020)

Lookahead: A Far-sighted Alternative of Magnitude-based Pruning. - Sejun Park; Jaeho Lee 001; Sangwoo Mo; Jinwoo Shin (ICLR, 2020)

Learning What to Defer for Maximum Independent Sets. - Sungsoo Ahn; Younggyo Seo; Jinwoo Shin (ICML, 2020)

Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix. - Insu Han; Haim Avron; Jinwoo Shin (ICML, 2020)

Self-supervised Label Augmentation via Input Transformations. - Hankook Lee; Sung Ju Hwang; Jinwoo Shin (ICML, 2020)

Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning. - Kimin Lee; Younggyo Seo; Seunghyun Lee; Honglak Lee; Jinwoo Shin (ICML, 2020)

Adversarial Neural Pruning with Latent Vulnerability Suppression. - Divyam Madaan; Jinwoo Shin; Sung Ju Hwang (ICML, 2020)

Guiding Deep Molecular Optimization with Genetic Exploration. - Sungsoo Ahn; Junsu Kim; Hankook Lee; Jinwoo Shin (NeurIPS, 2020)

Time-Reversal Symmetric ODE Network. - In Huh; Eunho Yang; Sung Ju Hwang; Jinwoo Shin (NeurIPS, 2020)

Consistency Regularization for Certified Robustness of Smoothed Classifiers. - Jongheon Jeong; Jinwoo Shin (NeurIPS, 2020)

Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning. - Jaehyung Kim 001; Youngbum Hur; Sejun Park; Eunho Yang; Sung Ju Hwang; Jinwoo Shin (NeurIPS, 2020)

Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning. - Youngsung Kim; Jinwoo Shin; Eunho Yang; Sung Ju Hwang (NeurIPS, 2020)

Learning Bounds for Risk-sensitive Learning. - Jaeho Lee 001; Sejun Park; Jinwoo Shin (NeurIPS, 2020)

Learning from Failure: De-biasing Classifier from Biased Classifier. - Jun Hyun Nam; Hyuntak Cha; Sungsoo Ahn; Jaeho Lee 001; Jinwoo Shin (NeurIPS, 2020)

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning. - Younggyo Seo; Kimin Lee; Ignasi Clavera Gilaberte; Thanard Kurutach; Jinwoo Shin; Pieter Abbeel (NeurIPS, 2020)

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. - Jihoon Tack; Sangwoo Mo; Jongheon Jeong; Jinwoo Shin (NeurIPS, 2020)

Freeze Discriminator: A Simple Baseline for Fine-tuning GANs. - Sangwoo Mo; Minsu Cho; Jinwoo Shin (CoRR, 2020)

QOPT: Optimistic Value Function Decentralization for Cooperative Multi-Agent Reinforcement Learning. - Kyunghwan Son; Sungsoo Ahn; Roben Delos Reyes; Jinwoo Shin; Yung Yi (CoRR, 2020)

Learning to Generate Noise for Robustness against Multiple Perturbations. - Divyam Madaan; Jinwoo Shin; Sung Ju Hwang (CoRR, 2020)

Learning from Failure: Training Debiased Classifier from Biased Classifier. - Jun Hyun Nam; Hyuntak Cha; Sungsoo Ahn; Jaeho Lee 001; Jinwoo Shin (CoRR, 2020)

A Deeper Look at the Layerwise Sparsity of Magnitude-based Pruning. - Jaeho Lee 001; Sejun Park; Sangwoo Mo; Sungsoo Ahn; Jinwoo Shin (CoRR, 2020)

i-Mix: A Strategy for Regularizing Contrastive Representation Learning. - Kibok Lee 003; Yian Zhu; Kihyuk Sohn; Chun-Liang Li; Jinwoo Shin; Honglak Lee (CoRR, 2020)

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning. - Younggyo Seo; Kimin Lee; Ignasi Clavera; Thanard Kurutach; Jinwoo Shin; Pieter Abbeel (CoRR, 2020)

Unified statistical performance of FSO link due to the combined effect of weak turbulence and generalized pointing error with HD and IM/DD. - Kug-Jin Jung; Sung Sik Nam; Jinwoo Shin; Young-Chai Ko (J. Commun. Networks, 2020)

Information Source Finding in Networks: Querying With Budgets. - Jaeyoung Choi 001; Sangwoo Moon; Jiin Woo; Kyunghwan Son; Jinwoo Shin; Yung Yi (IEEE/ACM Trans. Netw., 2020)

Dynamic Control for On-Demand Interference-Managed WLAN Infrastructures. - Seokhyun Kim; Kimin Lee; Yeonkeun Kim; Jinwoo Shin; Seungwon Shin 001; Song Chong (IEEE/ACM Trans. Netw., 2020)

MASKER: Masked Keyword Regularization for Reliable Text Classification. - Seung Jun Moon; Sangwoo Mo; Kimin Lee; Jaeho Lee 001; Jinwoo Shin (AAAI, 2021)

GTA: Graph Truncated Attention for Retrosynthesis. - Seung-Woo Seo; You Young Song; June Yong Yang; Seohui Bae; Hankook Lee; Jinwoo Shin; Sung Ju Hwang; Eunho Yang (AAAI, 2021)

Provable Memorization via Deep Neural Networks using Sub-linear Parameters. - Sejun Park; Jaeho Lee 001; Chulhee Yun; Jinwoo Shin (COLT, 2021)

Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble. - Seunghyun Lee; Younggyo Seo; Kimin Lee; Pieter Abbeel; Jinwoo Shin (CoRL, 2021)

Quality-Agnostic Image Recognition via Invertible Decoder. - Insoo Kim; Seungju Han 001; Ji-Won Baek; Seong-Jin Park; Jae-Joon Han; Jinwoo Shin (CVPR, 2021)

Co2L: Contrastive Continual Learning. - Hyuntak Cha; Jaeho Lee 001; Jinwoo Shin (ICCV, 2021)

Training GANs with Stronger Augmentations via Contrastive Discriminator. - Jongheon Jeong; Jinwoo Shin (ICLR, 2021)

Layer-adaptive Sparsity for the Magnitude-based Pruning. - Jaeho Lee 001; Sejun Park; Sangwoo Mo; Sungsoo Ahn; Jinwoo Shin (ICLR, 2021)

i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning. - Kibok Lee 003; Yian Zhu; Kihyuk Sohn; Chun-Liang Li; Jinwoo Shin; Honglak Lee (ICLR, 2021)

Learning to Sample with Local and Global Contexts in Experience Replay Buffer. - Youngmin Oh; Kimin Lee; Jinwoo Shin; Eunho Yang; Sung Ju Hwang (ICLR, 2021)

Minimum Width for Universal Approximation. - Sejun Park; Chulhee Yun; Jaeho Lee 001; Jinwoo Shin (ICLR, 2021)

Self-Improved Retrosynthetic Planning. - Junsu Kim; Sungsoo Ahn; Hankook Lee; Jinwoo Shin (ICML, 2021)

Learning to Generate Noise for Multi-Attack Robustness. - Divyam Madaan; Jinwoo Shin; Sung Ju Hwang (ICML, 2021)

State Entropy Maximization with Random Encoders for Efficient Exploration. - Younggyo Seo; Lili Chen; Jinwoo Shin; Honglak Lee; Pieter Abbeel; Kimin Lee (ICML, 2021)

RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. - Hankook Lee; Sungsoo Ahn; Seung-Woo Seo; You Young Song; Eunho Yang; Sung Ju Hwang; Jinwoo Shin (IJCAI, 2021)

SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness. - Jongheon Jeong; Sejun Park; Minkyu Kim 004; Heung-Chang Lee; Do-Guk Kim; Jinwoo Shin (NeurIPS, 2021)

Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning. - Junsu Kim; Younggyo Seo; Jinwoo Shin (NeurIPS, 2021)

Improving Transferability of Representations via Augmentation-Aware Self-Supervision. - Hankook Lee; Kibok Lee 003; Kimin Lee; Honglak Lee; Jinwoo Shin (NeurIPS, 2021)

Meta-Learning Sparse Implicit Neural Representations. - Jaeho Lee 001; Jihoon Tack; Namhoon Lee; Jinwoo Shin (NeurIPS, 2021)

Object-aware Contrastive Learning for Debiased Scene Representation. - Sangwoo Mo; Hyunwoo Kang; Kihyuk Sohn; Chun-Liang Li; Jinwoo Shin (NeurIPS, 2021)

Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning. - Jongjin Park; Younggyo Seo; Chang Liu 030; Li Zhao 007; Tao Qin 001; Jinwoo Shin; Tie-Yan Liu (NeurIPS, 2021)

RoMA: Robust Model Adaptation for Offline Model-based Optimization. - Sihyun Yu; Sungsoo Ahn; Le Song; Jinwoo Shin (NeurIPS, 2021)

Scaling Neural Tangent Kernels via Sketching and Random Features. - Amir Zandieh; Insu Han; Haim Avron; Neta Shoham; Chaewon Kim; Jinwoo Shin (NeurIPS, 2021)

Elastic Resource Sharing for Distributed Deep Learning. - Changho Hwang; Taehyun Kim; Sunghyun Kim; Jinwoo Shin; KyoungSoo Park (NSDI, 2021)

Field Experiment of Photonic Radar for Low-RCS Target Detection and High-Resolution Image Acquisition. - Youngseok Bae; Jinwoo Shin; Sang-Gug Lee 001; Hoon Kim (IEEE Access, 2021)

Model-Augmented Q-learning. - Youngmin Oh; Jinwoo Shin; Eunho Yang; Sung Ju Hwang (CoRR, 2021)

Random Features for the Neural Tangent Kernel. - Insu Han; Haim Avron; Neta Shoham; Chaewon Kim; Jinwoo Shin (CoRR, 2021)

Consistency and Monotonicity Regularization for Neural Knowledge Tracing. - Seewoo Lee; Youngduck Choi; Juneyoung Park; Byungsoo Kim 002; Jinwoo Shin (CoRR, 2021)

Abstract Reasoning via Logic-guided Generation. - Sihyun Yu; Sangwoo Mo; Sungsoo Ahn; Jinwoo Shin (CoRR, 2021)

DAPPER: Performance Estimation of Domain Adaptation in Mobile Sensing. - Taesik Gong; Yewon Kim; Adiba Orzikulova; Yunxin Liu 001; Sung Ju Hwang; Jinwoo Shin; Sung-Ju Lee (CoRR, 2021)

Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. - Joonhyung Park; June Yong Yang; Jinwoo Shin; Sung Ju Hwang; Eunho Yang (AAAI, 2022)

Consistency Regularization for Adversarial Robustness. - Jihoon Tack; Sihyun Yu; Jongheon Jeong; Minseon Kim; Sung Ju Hwang; Jinwoo Shin (AAAI, 2022)

Self-Supervised Dense Consistency Regularization for Image-to-Image Translation. - Minsu Ko; Eunju Cha; Sungjoo Suh; Huijin Lee; Jae-Joon Han; Jinwoo Shin; Bohyung Han (CVPR, 2022)

Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning. - Jian Meng; Li Yang 009; Jinwoo Shin; Deliang Fan; Jae-Sun Seo (CVPR, 2022)

Patch-level Representation Learning for Self-supervised Vision Transformers. - Sukmin Yun; Hankook Lee; Jaehyung Kim 001; Jinwoo Shin (CVPR, 2022)

K-centered Patch Sampling for Efficient Video Recognition. - Seong Hyeon Park; Jihoon Tack; Byeongho Heo; Jung-Woo Ha 001; Jinwoo Shin (ECCV (35), 2022)

OpenCoS: Contrastive Semi-supervised Learning for Handling Open-Set Unlabeled Data. - Jongjin Park; Sukmin Yun; Jongheon Jeong; Jinwoo Shin (ECCV Workshops (2), 2022)

A Study on Window-based Path Driving through Identifying the Target Walking in an Ultrasonic Sensor-based Follow-up Collaborative Robot. - Seung-Ho Yum; Na-Yeon Park; Jinwoo Shin; Su-Hong Eom; Eung-Hyuk Lee (ICEIC, 2022)

What Makes Better Augmentation Strategies? Augment Difficult but Not too Different. - Jaehyung Kim 001; Dongyeop Kang; Sungsoo Ahn; Jinwoo Shin (ICLR, 2022)

Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation. - Jun Hyun Nam; Jaehyung Kim 001; Jaeho Lee 001; Jinwoo Shin (ICLR, 2022)

Model-augmented Prioritized Experience Replay. - Youngmin Oh; Jinwoo Shin; Eunho Yang; Sung Ju Hwang (ICLR, 2022)

SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning. - Jongjin Park; Younggyo Seo; Jinwoo Shin; Honglak Lee; Pieter Abbeel; Kimin Lee (ICLR, 2022)

Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. - Sihyun Yu; Jihoon Tack; Sangwoo Mo; Hyunsu Kim; Junho Kim; Jung-Woo Ha 001; Jinwoo Shin (ICLR, 2022)

TSPipe: Learn from Teacher Faster with Pipelines. - Hwijoon Lim; Yechan Kim; Sukmin Yun; Jinwoo Shin; Dongsu Han (ICML, 2022)

Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning. - Kyunghwan Son; Junsu Kim; Sungsoo Ahn; Roben Delos Reyes; Yung Yi; Jinwoo Shin (ICML, 2022)

Time Is MattEr: Temporal Self-supervision for Video Transformers. - Sukmin Yun; Jaehyung Kim 001; Dongyoon Han; Hwanjun Song; Jung-Woo Ha 001; Jinwoo Shin (ICML, 2022)

NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation. - Taesik Gong; Jongheon Jeong; Taewon Kim; Yewon Kim; Jinwoo Shin; Sung-Ju Lee (NeurIPS, 2022)

Scalable Neural Video Representations with Learnable Positional Features. - Subin Kim 001; Sihyun Yu; Jaeho Lee 001; Jinwoo Shin (NeurIPS, 2022)

RényiCL: Contrastive Representation Learning with Skew Rényi Divergence. - Kyungmin Lee; Jinwoo Shin (NeurIPS, 2022)

Meta-Learning with Self-Improving Momentum Target. - Jihoon Tack; Jongjin Park; Hankook Lee; Jaeho Lee 001; Jinwoo Shin (NeurIPS, 2022)

Zero-shot Blind Image Denoising via Implicit Neural Representations. - Chaewon Kim; Jaeho Lee 001; Jinwoo Shin (CoRR, 2022)

Robust Continual Test-time Adaptation: Instance-aware BN and Prediction-balanced Memory. - Taesik Gong; Jongheon Jeong; Taewon Kim; Yewon Kim; Jinwoo Shin; Sung-Ju Lee (CoRR, 2022)

String-based Molecule Generation via Multi-decoder VAE. - Kisoo Kwon; Kuhwan Jung; Junghyun Park; Hwidong Na; Jinwoo Shin (CoRR, 2022)

OAMixer: Object-aware Mixing Layer for Vision Transformers. - Hyunwoo Kang; Sangwoo Mo; Jinwoo Shin (CoRR, 2022)

Adapting to Unknown Conditions in Learning-Based Mobile Sensing. - Taesik Gong; Yeonsu Kim; Ryuhaerang Choi; Jinwoo Shin; Sung-Ju Lee (IEEE Trans. Mob. Comput., 2022)

Confidence-Aware Training of Smoothed Classifiers for Certified Robustness. - Jongheon Jeong; Seojin Kim; Jinwoo Shin (AAAI, 2023)

infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information. - Jaehyung Kim 001; Yekyung Kim; Karin de Langis; Jinwoo Shin; Dongyeop Kang (ACL (1), 2023)

Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles. - Jung-Hun Kim; Se-Young Yun; Minchan Jeong; Junhyun Nam; Jinwoo Shin; Richard Combes (AISTATS, 2023)

BiasAdv: Bias-Adversarial Augmentation for Model Debiasing. - Jongin Lim 002; Youngdong Kim; Byungjai Kim; Chanho Ahn; Jinwoo Shin; Eunho Yang; Seungju Han 001 (CVPR, 2023)

Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck. - Jongheon Jeong; Sihyun Yu; Hankook Lee; Jinwoo Shin (CVPR, 2023)

Video Probabilistic Diffusion Models in Projected Latent Space. - Sihyun Yu; Kihyuk Sohn; Subin Kim 001; Jinwoo Shin (CVPR, 2023)

IFSeg: Image-free Semantic Segmentation via Vision-Language Model. - Sukmin Yun; Seong Hyeon Park; Paul Hongsuck Seo; Jinwoo Shin (CVPR, 2023)

A Study on the Assistive System for Safe Elevator Get on of Wheelchair Users with Upper Limb Disability. - Daewe Kim; Won-Young Lee; Jinwoo Shin; Eung-Hyuk Lee (ICEIC, 2023)

String-Based Molecule Generation Via Multi-Decoder VAE. - Kisoo Kwon; Kuhwan Jeong; Junghyun Park; Hwidong Na; Jinwoo Shin (ICASSP, 2023)

Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning. - Huiwon Jang; Hankook Lee; Jinwoo Shin (ICLR, 2023)

Preference Transformer: Modeling Human Preferences using Transformers for RL. - Changyeon Kim; Jongjin Park; Jinwoo Shin; Honglak Lee; Pieter Abbeel; Kimin Lee (ICLR, 2023)

Imitating Graph-Based Planning with Goal-Conditioned Policies. - Junsu Kim; Younggyo Seo; Sungsoo Ahn; Kyunghwan Son; Jinwoo Shin (ICLR, 2023)

Guiding Energy-based Models via Contrastive Latent Variables. - Hankook Lee; Jongheon Jeong; Sejun Park; Jinwoo Shin (ICLR, 2023)

STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables. - Jaehyun Nam; Jihoon Tack; Kyungmin Lee; Hankook Lee; Jinwoo Shin (ICLR, 2023)

Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning. - Jaehyung Kim 001; Jinwoo Shin; Dongyeop Kang (ICML, 2023)

Modality-Agnostic Variational Compression of Implicit Neural Representations. - Jonathan Richard Schwarz; Jihoon Tack; Yee Whye Teh; Jaeho Lee 001; Jinwoo Shin (ICML, 2023)

Multi-View Masked World Models for Visual Robotic Manipulation. - Younggyo Seo; Junsu Kim; Stephen James; Kimin Lee; Jinwoo Shin; Pieter Abbeel (ICML, 2023)

Mosaic: Extremely Low-resolution RFID Vision for Visually-anonymized Action Recognition. - Seungwoo Shim; Hyeonho Shin; Myeongkyun Cho; Youngki Lee 001; Jinwoo Shin; Song Min Kim (IPSN, 2023)

Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder. - Huiwon Jang; Jihoon Tack; Daewon Choi; Jongheon Jeong; Jinwoo Shin (NeurIPS, 2023)

Multi-scale Diffusion Denoised Smoothing. - Jongheon Jeong; Jinwoo Shin (NeurIPS, 2023)

Collaborative Score Distillation for Consistent Visual Editing. - Subin Kim 001; Kyungmin Lee; June Suk Choi; Jongheon Jeong; Kihyuk Sohn; Jinwoo Shin (NeurIPS, 2023)

Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration. - Dongyoung Kim; Jinwoo Shin; Pieter Abbeel; Younggyo Seo (NeurIPS, 2023)

Guide Your Agent with Adaptive Multimodal Rewards. - Changyeon Kim; Younggyo Seo; Hao Liu; Lisa Lee; Jinwoo Shin; Honglak Lee; Kimin Lee (NeurIPS, 2023)

Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training. - Jian Meng; Li Yang 009; Kyungmin Lee; Jinwoo Shin; Deliang Fan; Jae-sun Seo (NeurIPS, 2023)

S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions. - Sangwoo Mo; Minkyu Kim 004; Kyungmin Lee; Jinwoo Shin (NeurIPS, 2023)

Learning Large-scale Neural Fields via Context Pruned Meta-Learning. - Jihoon Tack; Subin Kim 001; Sihyun Yu; Jaeho Lee 001; Jinwoo Shin; Jonathan Richard Schwarz (NeurIPS, 2023)

Rethinking the Entropy of Instance in Adversarial Training. - Minseon Kim; Jihoon Tack; Jinwoo Shin; Sung Ju Hwang (SaTML, 2023)

Deep Self-Supervised Diversity Promoting Learning on Hierarchical Hyperspheres for Regularization. - Youngsung Kim; Yoonsuk Hyun; Jae-Joon Han; Eunho Yang; Sung Ju Hwang; Jinwoo Shin (IEEE Access, 2023)

Explaining Visual Biases as Words by Generating Captions. - Younghyun Kim; Sangwoo Mo; Minkyu Kim 004; Kyungmin Lee; Jaeho Lee 001; Jinwoo Shin (CoRR, 2023)

Efficient Meta-Learning via Error-based Context Pruning for Implicit Neural Representations. - Jihoon Tack; Subin Kim 001; Sihyun Yu; Jaeho Lee 001; Jinwoo Shin; Jonathan Richard Schwarz (CoRR, 2023)

S-CLIP: Semi-supervised Vision-Language Pre-training using Few Specialist Captions. - Sangwoo Mo; Minkyu Kim 004; Kyungmin Lee; Jinwoo Shin (CoRR, 2023)

Collaborative Score Distillation for Consistent Visual Synthesis. - Subin Kim 001; Kyungmin Lee; June Suk Choi; Jongheon Jeong; Kihyuk Sohn; Jinwoo Shin (CoRR, 2023)

Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models. - Sanghyun Kim; Seohyeon Jung; Balhae Kim; Moonseok Choi; Jinwoo Shin; Juho Lee 001 (CoRR, 2023)

NeFL: Nested Federated Learning for Heterogeneous Clients. - Honggu Kang; Seohyeon Cha; Jinwoo Shin; Jongmyeong Lee; Joonhyuk Kang (CoRR, 2023)

DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing. - Taesik Gong; Yewon Kim; Adiba Orzikulova; Yunxin Liu 001; Sung Ju Hwang; Jinwoo Shin; Sung-Ju Lee (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling. - Junhyun Nam; Sangwoo Mo; Jaeho Lee 001; Jinwoo Shin (Trans. Mach. Learn. Res., 2023)

Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization. - Insoo Kim; Jaeseok Choi; Geonseok Seo; Kinam Kwon; Jinwoo Shin; Hyong-Euk Lee (CVPR, 2024)

Discovering and Mitigating Visual Biases Through Keyword Explanation. - Younghyun Kim; Sangwoo Mo; Minkyu Kim 004; Kyungmin Lee; Jaeho Lee 001; Jinwoo Shin (CVPR, 2024)

Adversarial Robustification via Text-to-Image Diffusion Models. - Daewon Choi; Jongheon Jeong; Huiwon Jang; Jinwoo Shin (ECCV (81), 2024)

Improving Diffusion Models for Authentic Virtual Try-on in the Wild. - Yisol Choi; Sangkyung Kwak; Kyungmin Lee; Hyungwon Choi; Jinwoo Shin (ECCV (86), 2024)

Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion. - Sanghyun Kim; Seohyeon Jung; Balhae Kim; Moonseok Choi; Jinwoo Shin; Juho Lee 001 (ECCV (67), 2024)

Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback. - Kyuyoung Kim; Ah Jeong Seo; Hao Liu; Jinwoo Shin; Kimin Lee (EMNLP (Findings), 2024)

Querying Easily Flip-flopped Samples for Deep Active Learning. - Seong Jin Cho; Gwangsu Kim; Junghyun Lee; Jinwoo Shin; Chang D. Yoo (ICLR, 2024)

Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models. - Kyuyoung Kim; Jongheon Jeong; Minyong An; Mohammad Ghavamzadeh; Krishnamurthy Dj Dvijotham; Jinwoo Shin; Kimin Lee (ICLR, 2024)

SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs. - Jaehyung Kim 001; Jaehyun Nam; Sangwoo Mo; Jongjin Park; Sang-Woo Lee 001; Minjoon Seo; Jung-Woo Ha 001; Jinwoo Shin (ICLR, 2024)

DreamFlow: High-quality text-to-3D generation by Approximating Probability Flow. - Kyungmin Lee; Kihyuk Sohn; Jinwoo Shin (ICLR, 2024)

Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs. - Woomin Song; Seunghyuk Oh; Sangwoo Mo; Jaehyung Kim 001; Sukmin Yun; Jung-Woo Ha 001; Jinwoo Shin (ICLR, 2024)

Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition. - Sihyun Yu; Weili Nie; De-An Huang; Boyi Li; Jinwoo Shin; Anima Anandkumar (ICLR, 2024)

Visual Representation Learning with Stochastic Frame Prediction. - Huiwon Jang; Dongyoung Kim; Junsu Kim; Jinwoo Shin; Pieter Abbeel; Younggyo Seo (ICML, 2024)

Data-Efficient Molecular Generation with Hierarchical Textual Inversion. - Seojin Kim; Jaehyun Nam; Sihyun Yu; Younghoon Shin; Jinwoo Shin (ICML, 2024)

Conditional Synthesis of 3D Molecules with Time Correction Sampler. - Hojung Jung; Youngrok Park; Laura Schmid; Jaehyeong Jo; Dongkyu Lee; Bongsang Kim; Se-Young Yun; Jinwoo Shin (NeurIPS, 2024)

Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion models. - Kyungmin Lee; Sangkyung Kwak; Kihyuk Sohn; Jinwoo Shin (NeurIPS, 2024)

ReMoDetect: Reward Models Recognize Aligned LLM's Generations. - Hyunseok Lee; Jihoon Tack; Jinwoo Shin (NeurIPS, 2024)

Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning. - Jaehyun Nam; Kyuyoung Kim; Seunghyuk Oh; Jihoon Tack; Jaehyung Kim 001; Jinwoo Shin (NeurIPS, 2024)

TrackIME: Enhanced Video Point Tracking via Instance Motion Estimation. - Seong Hyeon Park; Huiwon Jang; Byungwoo Jeon; Sukmin Yun; Paul Hongsuck Seo; Jinwoo Shin (NeurIPS, 2024)

Online Adaptation of Language Models with a Memory of Amortized Contexts. - Jihoon Tack; Jaehyung Kim 001; Eric Mitchell; Jinwoo Shin; Yee Whye Teh; Jonathan Richard Schwarz (NeurIPS, 2024)

Few-Shot Anomaly Detection via Personalization. - Sangkyung Kwak; Jongheon Jeong; Hankook Lee; Woohyuck Kim; Dongho Seo; Woojin Yun; Wonjin Lee; Jinwoo Shin (IEEE Access, 2024)

Direct Consistency Optimization for Compositional Text-to-Image Personalization. - Kyungmin Lee; Sangkyung Kwak; Kihyuk Sohn; Jinwoo Shin (CoRR, 2024)

Improving Diffusion Models for Virtual Try-on. - Yisol Choi; Sangkyung Kwak; Kyungmin Lee; Hyungwon Choi; Jinwoo Shin (CoRR, 2024)

Aligning Large Language Models with Self-generated Preference Data. - Dongyoung Kim; Kimin Lee; Jinwoo Shin; Jaehyung Kim 001 (CoRR, 2024)

Tabular Transfer Learning via Prompting LLMs. - Jaehyun Nam; Woomin Song; Seong Hyeon Park; Jihoon Tack; Sukmin Yun; Jaehyung Kim 001; Kyu Hwan Oh; Jinwoo Shin (CoRR, 2024)

Safety Alignment Backfires: Preventing the Re-emergence of Suppressed Concepts in Fine-tuned Text-to-Image Diffusion Models. - Sanghyun Kim; Moonseok Choi; Jinwoo Shin; Juho Lee 001 (CoRR, 2024)

Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness. - Suhyeok Jang; Seojin Kim; Jinwoo Shin; Jongheon Jeong (Trans. Mach. Learn. Res., 2024)

Holistic Molecular Representation Learning via Multi-view Fragmentation. - Seojin Kim; Jaehyun Nam; Junsu Kim; Hankook Lee; Sungsoo Ahn; Jinwoo Shin (Trans. Mach. Learn. Res., 2024)

Debiasing Online Preference Learning via Preference Feature Preservation. - Dongyoung Kim; Jinsung Yoon; Jinwoo Shin; Jaehyung Kim (ACL (Findings), 2025)

Controllable Human Image Generation with Personalized Multi-Garments. - Yisol Choi; Sangkyung Kwak; Sihyun Yu; Hyungwon Choi; Jinwoo Shin (CVPR, 2025)

Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction. - Huiwon Jang; Sihyun Yu; Jinwoo Shin; Pieter Abbeel; Younggyo Seo (CVPR, 2025)

Calibrated Multi-Preference Optimization for Aligning Diffusion Models. - Kyungmin Lee; Xiahong Li; Qifei Wang; Junfeng He; Junjie Ke; Ming-Hsuan Yang 001; Irfan Essa; Jinwoo Shin; Feng Yang 008; Yinxiao Li (CVPR, 2025)

Closest Neighbors are Harmful for Lightweight Masked Auto-encoders. - Jian Meng; Ahmed Hassan; Li Yang 009; Deliang Fan; Jinwoo Shin; Jae-sun Seo (CVPR, 2025)

DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing. - June Suk Choi; Kyungmin Lee; Jongheon Jeong; Saining Xie; Jinwoo Shin; Kimin Lee (ICLR, 2025)

Subtask-Aware Visual Reward Learning from Segmented Demonstrations. - Changyeon Kim; Minho Heo; Doohyun Lee; Honglak Lee; Jinwoo Shin; Joseph J. Lim; Kimin Lee (ICLR, 2025)

Controllable Blur Data Augmentation Using 3D-Aware Motion Estimation. - Insoo Kim; Hana Lee; Hyong-Euk Lee; Jinwoo Shin (ICLR, 2025)

Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment. - Dongyoung Kim; Kimin Lee; Jinwoo Shin; Jaehyung Kim 001 (ICLR, 2025)

Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents. - Dongjun Lee; Juyong Lee; Kyuyoung Kim; Jihoon Tack; Jinwoo Shin; Yee Whye Teh; Kimin Lee (ICLR, 2025)

Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think. - Sihyun Yu; Sangkyung Kwak; Huiwon Jang; Jongheon Jeong; Jonathan Huang; Jinwoo Shin; Saining Xie (ICLR, 2025)

PRIME: Deep Imbalanced Regression with Proxies. - Jongin Lim 002; Sucheol Lee; Daeho Um; Sung-Un Park; Jinwoo Shin (ICML, 2025)

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture. - Jeonghoon Kim; Byeongchan Lee 001; Cheonbok Park; Yeontaek Oh; Beomjun Kim; Taehwan Yoo; Seongjin Shin; Dongyoon Han; Jinwoo Shin; Kang Min Yoo (ICML, 2025)

Test-Time Adaptation with Binary Feedback. - Taeckyung Lee; Sorn Chottananurak; Junsu Kim; Jinwoo Shin; Taesik Gong; Sung-Ju Lee (ICML, 2025)

ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification. - Hyunseok Lee; Seunghyuk Oh; Jaehyung Kim 001; Jinwoo Shin; Jihoon Tack (ICML, 2025)

StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment. - Younghyun Kim; Jongheon Jeong; Sangkyung Kwak; Kyungmin Lee; Juho Lee; Jinwoo Shin (IJCAI, 2025)

RefDeblur: Blind Motion Deblurring with Self-Generated Reference Image. - Insoo Kim; Geonseok Seo; Hyong-Euk Lee; Jinwoo Shin (Trans. Mach. Learn. Res., 2025)

CLIP Meets Diffusion: A Synergistic Approach to Anomaly Detection. - Byeongchan Lee; John Won; Seunghyun Lee; Jinwoo Shin (Trans. Mach. Learn. Res., 2025)

Sparsified State-Space Models are Efficient Highway Networks. - Woomin Song; Jihoon Tack; Sangwoo Mo; Seunghyuk Oh; Jinwoo Shin (Trans. Mach. Learn. Res., 2025)

Parallel Key-Value Cache Fusion for Position Invariant RAG. - Philhoon Oh; Jinwoo Shin; James Thorne (CoRR, 2025)

Calibrated Multi-Preference Optimization for Aligning Diffusion Models. - Kyungmin Lee; Xiaohang Li; Qifei Wang; Junfeng He; Junjie Ke; Ming-Hsuan Yang 001; Irfan Essa; Jinwoo Shin; Feng Yang 008; Yinxiao Li (CoRR, 2025)

Peri-LN: Revisiting Layer Normalization in the Transformer Architecture. - Jeonghoon Kim; Byeongchan Lee 001; Cheonbok Park; Yeontaek Oh; Beomjun Kim; Taehwan Yoo; Seongjin Shin; Dongyoon Han; Jinwoo Shin; Kang Min Yoo (CoRR, 2025)

MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation. - Sihyun Yu; Meera Hahn; Dan Kondratyuk; Jinwoo Shin; Agrim Gupta; José Lezama; Irfan Essa; David A. Ross; Jonathan Huang (CoRR, 2025)

Tuning-Free Multi-Event Long Video Generation via Synchronized Coupled Sampling. - Subin Kim; Seoung Wug Oh; Jui-Hsien Wang; Joon-Young Lee; Jinwoo Shin (CoRR, 2025)

Personalized Language Models via Privacy-Preserving Evolutionary Model Merging. - Kyuyoung Kim; Jinwoo Shin; Jaehyung Kim (CoRR, 2025)

Learning Multi-frame and Monocular Prior for Estimating Geometry in Dynamic Scenes. - Seong Hyeon Park; Jinwoo Shin (CoRR, 2025)

ReGUIDE: Data Efficient GUI Grounding via Spatial Reasoning and Search. - Hyunseok Lee; Jeonghoon Kim; Beomjun Kim; Jihoon Tack; Chansong Jo; Jaehong Lee; Cheonbok Park; Sookyo In; Jinwoo Shin; Kang Min Yoo (CoRR, 2025)

Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics. - Dongyoung Kim; Sumin Park; Huiwon Jang; Jinwoo Shin; Jaehyung Kim; Younggyo Seo (CoRR, 2025)

Mamba Drafters for Speculative Decoding. - Daewon Choi; Seunghyuk Oh; Saket Dingliwal; Jihoon Tack; Kyuyoung Kim; Woomin Song; Seojin Kim; Insu Han; Jinwoo Shin; Aram Galstyan; Shubham Katiyar; Sravan Babu Bodapati (CoRR, 2025)

Compress, Gather, and Recompute: REFORMing Long-Context Processing in Transformers. - Woomin Song; Sai Muralidhar Jayanthi; Srikanth Ronanki; Kanthashree Mysore Sathyendra; Jinwoo Shin; Aram Galstyan; Shubham Katiyar; Sravan Babu Bodapati (CoRR, 2025)

Self-Refining Language Model Anonymizers via Adversarial Distillation. - Kyuyoung Kim; Hyunjun Jeon; Jinwoo Shin (CoRR, 2025)

Accelerated Test-Time Scaling with Model-Free Speculative Sampling. - Woomin Song; Saket Dingliwal; Sai Muralidhar Jayanthi; Bhavana Ganesh; Jinwoo Shin; Aram Galstyan; Sravan Babu Bodapati (CoRR, 2025)

FontAdapter: Instant Font Adaptation in Visual Text Generation. - Myungkyu Koo; Subin Kim; Sangkyung Kwak; Jaehyun Nam; Seojin Kim; Jinwoo Shin (CoRR, 2025)

Enhancing Motion Dynamics of Image-to-Video Models via Adaptive Low-Pass Guidance. - June Suk Choi; Kyungmin Lee; Sihyun Yu; Yisol Choi; Jinwoo Shin; Kimin Lee (CoRR, 2025)

Collaborative LLM Inference via Planning for Efficient Reasoning. - Byeongchan Lee; Jonghoon Lee; Dongyoung Kim; Jaehyung Kim; Jinwoo Shin (CoRR, 2025)

MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement. - Jaehyun Nam; Jinsung Yoon; Jiefeng Chen 001; Jinwoo Shin; Sercan Ö. Arik; Tomas Pfister (CoRR, 2025)

Think Clearly: Improving Reasoning via Redundant Token Pruning. - Daewon Choi; Jimin Lee; Jihoon Tack; Woomin Song; Saket Dingliwal; Sai Muralidhar Jayanthi; Bhavana Ganesh; Jinwoo Shin; Aram Galstyan; Sravan Babu Bodapati (CoRR, 2025)

NeFL: Nested Model Scaling for Federated Learning With System Heterogeneous Clients. - Honggu Kang; Seohyeon Cha; Jinwoo Shin; Jongmyeong Lee; Joonhyuk Kang (IEEE Trans. Mob. Comput., 2025)

Training Text-to-Molecule Models with Context-Aware Tokenization. - Seojin Kim; Hyeontae Song; Jaehyun Nam; Jinwoo Shin (CoRR, 2025)

Scalable and Robust LLM Unlearning by Correcting Responses with Retrieved Exclusions. - Junbeom Kim; Kyuyoung Kim; Jihoon Tack; Dongha Lim; Jinwoo Shin (CoRR, 2025)

HAMLET: Switch your Vision-Language-Action Model into a History-Aware Policy. - Myungkyu Koo; Daewon Choi; Taeyoung Kim; Kyungmin Lee; Changyeon Kim; Younggyo Seo; Jinwoo Shin (CoRR, 2025)

Contrastive Representation Regularization for Vision-Language-Action Models. - Taeyoung Kim; Jimin Lee; Myungkyu Koo; Dongyoung Kim; Kyungmin Lee; Changyeon Kim; Younggyo Seo; Jinwoo Shin (CoRR, 2025)

ContextVLA: Vision-Language-Action Model with Amortized Multi-Frame Context. - Huiwon Jang; Sihyun Yu; Heeseung Kwon; Hojin Jeon; Younggyo Seo; Jinwoo Shin (CoRR, 2025)

Verifier-free Test-Time Sampling for Vision Language Action Models. - Suhyeok Jang; Dongyoung Kim; Changyeon Kim; Youngsuk Kim; Jinwoo Shin (CoRR, 2025)

A Definition of AGI. - Dan Hendrycks; Dawn Song; Christian Szegedy; Honglak Lee; Yarin Gal; Erik Brynjolfsson; Sharon Li 001; Andy Zou; Lionel Levine; Bo Han 003; Jie Fu 001; Ziwei Liu 002; et al. (CoRR, 2025)

Decoupled MeanFlow: Turning Flow Models into Flow Maps for Accelerated Sampling. - Kyungmin Lee; Sihyun Yu; Jinwoo Shin (CoRR, 2025)

Dual-Stream Diffusion for World-Model Augmented Vision-Language-Action Model. - John Won; Kyungmin Lee; Huiwon Jang; Dongyoung Kim; Jinwoo Shin (CoRR, 2025)