Sung Ju Hwang

发表

Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction pdf

Jinheon Baek, Dong Bok Lee, Sung Ju Hwang, 2020, NeurIPS.

Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning pdf

Jinwoo Shin, Eunho Yang, Sung Ju Hwang, 2020, NeurIPS.

Federated Continual Learning with Weighted Inter-client Transfer

Eunho Yang, Sung Ju Hwang, Jaehong Yoon, 2020, ICML.

Adversarial Neural Pruning pdf

Sung Ju Hwang, Divyam Madaan, Divyam Madaan, 2019, ArXiv.

Adversarial Neural Pruning with Latent Vulnerability Suppression

Jinwoo Shin, Sung Ju Hwang, Divyam Madaan, 2020, ICML.

Federated Semi-Supervised Learning with Inter-Client Consistency pdf

Eunho Yang, Sung Ju Hwang, Jaehong Yoon, 2020, ArXiv.

Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding

Eunho Yang, Sung Ju Hwang, Hajin Shim, 2018, NeurIPS.

Asymmetric Multi-task Learning based on Task Relatedness and Confidence

Eunho Yang, Sung Ju Hwang, Giwoong Lee, 2016, ICML.

Reading between the lines: Object localization using implicit cues from image tags

Kristen Grauman, Sung Ju Hwang, K. Grauman, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Contrastive Learning with Adversarial Perturbations for Conditional Text Generation pdf

Dong Bok Lee, Sung Ju Hwang, Seanie Lee, 2020, ICLR.

Discriminative object categorization with external semantic knowledge

Sung Ju Hwang, 2013 .

Hierarchical Maximum-Margin Clustering pdf

Mark W. Schmidt, Greg Mori, Leonid Sigal, 2015, ArXiv.

Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation pdf

Sung Ju Hwang, Minki Kang, Moonsu Han, 2020, EMNLP.

Cost-effective Interactive Attention Learning with Neural Attention Processes

Eunho Yang, Hyewon Jeong, Sung Ju Hwang, 2020, ICML.

Learning to Sample with Local and Global Contexts in Experience Replay Buffer pdf

Jinwoo Shin, Kimin Lee, Eunho Yang, 2020, ICLR.

MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures pdf

Sung Ju Hwang, Jeongun Ryu, Jaewoong Shin, 2020, NeurIPS.

Federated Continual Learning with Adaptive Parameter Communication pdf

Eunho Yang, Sung Ju Hwang, Jaehong Yoon, 2020, ArXiv.

Semantic Kernel Forests from Multiple Taxonomies

Kristen Grauman, Sung Ju Hwang, Fei Sha, 2012, NIPS.

Meta-Learned Confidence for Few-shot Learning

Hoirin Kim, Sung Ju Hwang, Seong Min Kye, 2020 .

Taxonomy-Regularized Semantic Deep Convolutional Neural Networks

Gunhee Kim, Sung Ju Hwang, Juyong Kim, 2016, ECCV.

Uncertainty-Aware Attention for Reliable Interpretation and Prediction

Eunho Yang, Juho Lee, Saehoon Kim, 2018, NeurIPS.

Exploiting View-Specific Appearance Similarities Across Classes for Zero-Shot Pose Prediction: A Metric Learning Approach

Bodo Rosenhahn, Leonid Sigal, Sung Ju Hwang, 2016, AAAI.

Learning What and Where to Transfer

Jinwoo Shin, Sung Ju Hwang, Yunhun Jang, 2019, ICML.

Reading between the lines: Object localization using implicit cues from image tags

Kristen Grauman, Sung Ju Hwang, K. Grauman, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks

Eunho Yang, Sung Ju Hwang, Kwang Joon Kim, 2019, ICLR.

Transductive Few-shot Learning with Meta-Learned Confidence pdf

Hoirin Kim, Sung Ju Hwang, Seong Min Kye, 2020, ArXiv.

Learning to Disentangle Robust and Vulnerable Features for Adversarial Detection pdf

Insik Shin, Byunggill Joe, Sung Ju Hwang, 2019, ArXiv.

Expanding object detector's Horizon: Incremental learning framework for object detection in videos

Bodo Rosenhahn, Leonid Sigal, Sung Ju Hwang, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning a Tree of Metrics with Disjoint Visual Features

Kristen Grauman, Sung Ju Hwang, Fei Sha, 2011, NIPS.

Rethinking Data Augmentation: Self-Supervision and Self-Distillation pdf

Jinwoo Shin, Sung Ju Hwang, Hankook Lee, 2019, ArXiv.

Time-Reversal Symmetric ODE Network pdf

Jinwoo Shin, Eunho Yang, Sung Ju Hwang, 2020, NeurIPS.

Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs pdf

Dong Bok Lee, Sung Ju Hwang, Seanie Lee, 2020, ACL.

Adaptive Network Sparsification with Dependent Variational Beta-Bernoulli Dropout pdf

Eunho Yang, Juho Lee, Saehoon Kim, 2018, 1805.10896.

Mixed Effect Composite RNN-GP: A Personalized and Reliable Prediction Model for Healthcare pdf

Eunho Yang, Juho Lee, Saehoon Kim, 2018, ArXiv.

Meta Variance Transfer: Learning to Augment from the Others

Jae-Joon Han, Seungju Han, Sung Ju Hwang, 2020, ICML.

Analogy-preserving Semantic Embedding for Visual Object Categorization

Kristen Grauman, Sung Ju Hwang, Fei Sha, 2013, ICML.

Stochastic Subset Selection pdf

Eunho Yang, Sung Ju Hwang, Juho Lee, 2020, ArXiv.

Context-Based Automatic Local Image Enhancement

Ashish Kapoor, Sing Bing Kang, Sung Ju Hwang, 2012, ECCV.

DropMax: Adaptive Stochastic Softmax pdf

Eunho Yang, Juho Lee, Sung Ju Hwang, 2017, NIPS 2018.

Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning pdf

Eunho Yang, Sung Ju Hwang, Jaehong Yoon, 2020, ArXiv.

Meta Dropout: Learning to Perturb Latent Features for Generalization

Eunho Yang, Sung Ju Hwang, Hae Beom Lee, 2020, ICLR.

Accounting for the Relative Importance of Objects in Image Retrieval

Kristen Grauman, Sung Ju Hwang, K. Grauman, 2010, BMVC.

Learning to Generate Noise for Robustness against Multiple Perturbations pdf

Jinwoo Shin, Sung Ju Hwang, Divyam Madaan, 2020, ArXiv.

A Metric Learning Approach for MultiView Object Recognition and Zero-shot Pose Estimation

Bodo Rosenhahn, Leonid Sigal, Sung Ju Hwang, 2015 .

Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck pdf

Eunho Yang, Sung Ju Hwang, Sungyub Kim, 2019, ArXiv.

Adversarial Self-Supervised Contrastive Learning pdf

Sung Ju Hwang, Minseon Kim, Jihoon Tack, 2020, NeurIPS.

Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss

Jae-Joon Han, Sung Ju Hwang, JinWoo Son, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Self-supervised Label Augmentation via Input Transformations

Jinwoo Shin, Sung Ju Hwang, Hankook Lee, 2020, ICML.

DropMax: Adaptive Variational Softmax

Eunho Yang, Juho Lee, Saehoon Kim, 2017, NeurIPS.

Interactive Semantics for Knowledge Transfer

Jonghyun Choi, Larry S. Davis, Leonid Sigal, 2015 .

Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare

Eunho Yang, Saehoon Kim, Sung Ju Hwang, 2020, AAAI.

Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks pdf

Eunho Yang, Saehoon Kim, Sung Ju Hwang, 2019, ICLR.

Learning What to Remember: Long-term Episodic Memory Networks for Learning from Streaming Data pdf

Sung Ju Hwang, Hyunwoo Jung, Minki Kang, 2018, ArXiv.

Sharing features between objects and their attributes

Kristen Grauman, Sung Ju Hwang, Fei Sha, 2011, CVPR 2011.

A Unified Semantic Embedding: Relating Taxonomies and Attributes

Leonid Sigal, Sung Ju Hwang, L. Sigal, 2014, NIPS.

SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization

Gunhee Kim, Sung Ju Hwang, Juyong Kim, 2017, ICML.

Knowledge Transfer with Interactive Learning of Semantic Relationships

Jonghyun Choi, Larry S. Davis, Leonid Sigal, 2016, AAAI.

Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data pdf

Sung Ju Hwang, Hyunwoo Jung, Minki Kang, 2019, ACL.

Learning the Relative Importance of Objects from Tagged Images for Retrieval and Cross-Modal Search

Kristen Grauman, Sung Ju Hwang, K. Grauman, 2011, International Journal of Computer Vision.

Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning pdf

Tuan A. Nguyen, Eunho Yang, Sung Ju Hwang, 2020, AAAI.

Attribution Preservation in Network Compression for Reliable Network Interpretation pdf

Eunho Yang, Sung Ju Hwang, Geondo Park, 2020, NeurIPS.

Few-shot Visual Reasoning with Meta-analogical Contrastive Learning pdf

Jinwoo Shin, Eunho Yang, Youngsung Kim, 2020, NeurIPS.

Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs

Hoirin Kim, Sung Ju Hwang, Seong Min Kye, 2020, INTERSPEECH.

Asymmetric multi-task learning based on task relatedness and loss

Eunho Yang, Sung Ju Hwang, Giwoong Lee, 2016, ICML 2016.

Meta Dropout: Learning to Perturb Features for Generalization pdf

Eunho Yang, Sung Ju Hwang, Hae Beom Lee, 2019, ArXiv.

Combined Group and Exclusive Sparsity for Deep Neural Networks

Sung Ju Hwang, Jaehong Yoon, Jaehong Yoon, 2017, ICML.

Semi-Relaxed Quantization with DropBits: Training Low-Bit Neural Networks via Bit-wise Regularization pdf

Eunho Yang, Sung Ju Hwang, Jung Hyun Lee, 2019, ArXiv.

Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection pdf

Insik Shin, Byunggill Joe, Sung Ju Hwang, 2020, ArXiv.

ORACLE: Order Robust Adaptive Continual LEarning pdf

Eunho Yang, Saehoon Kim, Sung Ju Hwang, 2019, ArXiv.

Bootstrapping Neural Processes pdf

Yee Whye Teh, Eunho Yang, Yoonho Lee, 2020, NeurIPS.

Neural Complexity Measures pdf

Eunho Yang, Seungjin Choi, Yoonho Lee, 2020, NeurIPS.

Why pay more when you can pay less?

Eunho Yang, Sung Ju Hwang, Hajin Shim, 2018, BDJ.

Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective pdf

Hanze Dong, Xiangyang Xue, Yu-Gang Jiang, 2018, ArXiv.

Deep Asymmetric Multi-task Feature Learning pdf

Eunho Yang, Sung Ju Hwang, Haebeom Lee, 2017, ICML.

Learning to Generalize to Unseen Tasks with Bilevel Optimization pdf

Sung Ju Hwang, Hae Beom Lee, Donghyun Na, 2019, ArXiv.

Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets pdf

Sung Ju Hwang, Hayeon Lee, Eunyoung Hyung, 2021, ICLR 2021 Poster.

Contrastive Learning with Adversarial Perturbations for Conditional Text Generation pdf

Dong Bok Lee, Sung Ju Hwang, Seanie Lee, 2021, ICLR 2021 Poster.

Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning pdf

Sung Ju Hwang, Wonyong Jeong, Jaehong Yoon, 2021, ICLR 2021 Poster.

Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning pdf

Dong Bok Lee, Sung Ju Hwang, Seanie Lee, 2021, ICLR 2021 Spotlight.

Learning to Sample with Local and Global Contexts in Experience Replay Buffer pdf

Sung Ju Hwang, Jinwoo Shin, Eunho Yang, 2021, ICLR 2021 Poster.

FedMix: Approximation of Mixup under Mean Augmented Federated Learning pdf

Sung Ju Hwang, Eunho Yang, Tehrim Yoon, 2021, ICLR 2021 Poster.

Accurate Learning of Graph Representations with Graph Multiset Pooling pdf

Sung Ju Hwang, Jinheon Baek, Minki Kang, 2021, ICLR 2021 Poster.

Large-Scale Meta-Learning with Continual Trajectory Shifting pdf

Sung Ju Hwang, Boqing Gong, Jaewoong Shin, 2021, ICML.

Task-Adaptive Neural Network Search with Meta-Contrastive Learning

Jinheon Baek, Sung Ju Hwang, Wonyong Jeong, 2021, NeurIPS.

Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation pdf

Sung Ju Hwang, Seongok Ryu, Soojung Yang, 2021, NeurIPS.

Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty pdf

Sung Ju Hwang, Hae Beom Lee, Jeffrey Ryan Willette, 2021, ArXiv.

Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding pdf

Sung Ju Hwang, Bruno Andreis, Juho Lee, 2021, NeurIPS.

Contrastive Learning with Adversarial Perturbations for Conditional Text Generation pdf

Sung Ju Hwang, Seanie Lee, Dong Bok Lee, 2021, ICLR.

Task-Adaptive Neural Network Retrieval with Meta-Contrastive Learning pdf

Jinheon Baek, Sung Ju Hwang, Wonyong Jeong, 2021, ArXiv.

Rethinking the Representational Continuity: Towards Unsupervised Continual Learning pdf

Yunxin Liu, Sung Ju Hwang, Divyam Madaan, 2021, ArXiv.

Accurate Learning of Graph Representations with Graph Multiset Pooling pdf

Jinheon Baek, Sung Ju Hwang, Minki Kang, 2021, ICLR.

RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning

Jinwoo Shin, Eunho Yang, Sung Ju Hwang, 2021, IJCAI.

Improving Uncertainty Calibration via Prior Augmented Data pdf

Sung Ju Hwang, Juho Lee, Jeffrey Willette, 2021, ArXiv.

Edge Representation Learning with Hypergraphs pdf

Jinheon Baek, Sung Ju Hwang, Seul Lee, 2021, NeurIPS.

MPViT: Multi-Path Vision Transformer for Dense Prediction pdf

Sung Ju Hwang, Youngwan Lee, Jonghee Kim, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Federated Continual Learning with Weighted Inter-client Transfer

Eunho Yang, Sung Ju Hwang, Jaehong Yoon, 2021, ICML.

ING WITH ADDITIVE PARAMETER DECOMPOSITION

Sung Ju Hwang, Eunho Yang, Saehoon Kim, 2020 .

OUT-OF-DISTRIBUTION TASKS

Sung Ju Hwang, Eunho Yang, Saehoon Kim, 2020 .

Self-supervised Label Augmentation via Input Transformations

Sung Ju Hwang, Jinwoo Shin, Hankook Lee, 2019, International Conference on Machine Learning.

Rethinking Data Augmentation: Self-Supervision and Self-Distillation

Sung Ju Hwang, Jinwoo Shin, Hankook Lee, 2019, ArXiv.

KALA: Knowledge-Augmented Language Model Adaptation

Sung Ju Hwang, Minki Kang, Jinheon Baek, 2022, 2204.10555.

Learning the Compositional Domains for Generalized Zero-shot Learning

Sung Ju Hwang, L. Sigal, Yanwei Fu, 2022, Comput. Vis. Image Underst..

IFELONG L EARNING WITH D YNAMICALLY E XPANDABLE N ETWORKS

Sung Ju Hwang, Eunho Yang, Jaehong Yoon, 2018 .

Personalized Subgraph Federated Learning

Sung Ju Hwang, Jinheon Baek, Jaehong Yoon, 2022, ArXiv.

Graph Self-supervised Learning with Accurate Discrepancy Learning

Sung Ju Hwang, Jinheon Baek, Dongki Kim, 2022, ArXiv.

Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations

Sung Ju Hwang, Jaehyeong Jo, Seul Lee, 2022, ICML.

KALA: Knowledge-Augmented Language Model Adaptation

Sung Ju Hwang, Jinheon Baek, Minki Kang, 2022, NAACL.

Personalized Subgraph Federated Learning

Sung Ju Hwang, Jinheon Baek, Jaehong Yoon, 2022, ArXiv.

Dataset Condensation with Latent Space Knowledge Factorization and Sharing

Sung Ju Hwang, Dong Bok Lee, Haebeom Lee, 2022, ArXiv.

Scalable and Order-robust Continual Learning with Additive Parameter Decomposition

Sung Ju Hwang, Eunho Yang, Saehoon Kim, 2019, ICLR.

Universal Mini-Batch Consistency for Set Encoding Functions

Sung Ju Hwang, Juho Lee, Jeffrey Willette, 2022, ArXiv.

Lightweight Neural Architecture Search with Parameter Remapping and Knowledge Distillation

Sung Ju Hwang, Hayeon Lee, Sohyun An, 2022 .

Self-Distillation for Further Pre-training of Transformers

Sung Ju Hwang, Juho Lee, Kenji Kawaguchi, 2022, ArXiv.

Graph Self-supervised Learning with Accurate Discrepancy Learning

Sung Ju Hwang, Jinheon Baek, Dongki Kim, 2022, NeurIPS.

Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders

Sung Ju Hwang, Juho Lee, Youngwan Lee, 2022, ArXiv.

Forget-free Continual Learning with Winning Subnetworks

Sung Ju Hwang, Sultan Rizky Hikmawan Madjid, M. Hasegawa-Johnson, 2022, ICML.

Targeted Adversarial Self-Supervised Learning

Sung Ju Hwang, Sooel Son, Minseong Kim, 2022, ArXiv.

Few-shot Transferable Robust Representation Learning via Bilevel Attacks

Sung Ju Hwang, Minseong Kim, Hyeonjeong Ha, 2022, ArXiv.

Language Detoxification with Attribute-Discriminative Latent Space

Sung Ju Hwang, Minseong Kim, Jin Myung Kwak, 2022, ArXiv.

Any-speaker Adaptive Text-To-Speech Synthesis with Diffusion Models

Sung Ju Hwang, Minki Kang, Dong Min, 2022, ArXiv.

Task-Adaptive Neural Network Retrieval with Meta-Contrastive Learning

Sung Ju Hwang, Hayeon Lee, Jinheon Baek, 2021, ArXiv.

Time-Reversal Symmetric ODE Network

Sung Ju Hwang, Jinwoo Shin, Eunho Yang, 2020, NeurIPS.

Learning the Compositional Spaces for Generalized Zero-shot Learning

Sung Ju Hwang, L. Sigal, X. Xue, 2018, 1810.07368.

Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning

Sung Ju Hwang, Jinwoo Shin, Eunho Yang, 2020, NeurIPS.

Personalized Subgraph Federated Learning

Sung Ju Hwang, Jinheon Baek, Jaehong Yoon, 2022, ArXiv.

Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization

Sung Ju Hwang, Jaehong Yoon, Wonyong Jeong, 2022, ICML.

SPRINT: Scalable Semantic Policy Pre-Training via Language Instruction Relabeling

Joseph J. Lim, Sung Ju Hwang, Xiang Ren, 2022 .

Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction

Sung Ju Hwang, Dong Bok Lee, Jinheon Baek, 2020, NeurIPS.

Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models

Sung Ju Hwang, Jin-Hwa Kim, Jung-Woo Ha, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Representational Continuity for Unsupervised Continual Learning

Sung Ju Hwang, Divyam Madaan, Jaehong Yoon, 2021, ICLR.

Lifelong Learning with Dynamically Expandable Networks pdf

Sung Ju Hwang, Jaehong Yoon, Eunho Yang, 2017, ICLR.

Rethinking the Representational Continuity: Towards Unsupervised Continual Learning

Sung Ju Hwang, Yuanchun Li, Yunxin Liu, 2021, ArXiv.

Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching

Sung Ju Hwang, Wonyong Jeong, 2022, NeurIPS.

Universal Mini-Batch Consistency for Set Encoding Functions

Sung Ju Hwang, Juho Lee, Jeffrey Willette, 2022, ArXiv.

Grad-StyleSpeech: Any-Speaker Adaptive Text-to-Speech Synthesis with Diffusion Models

Sung Ju Hwang, Minki Kang, Dong Min, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning

Sung Ju Hwang, Hayeon Lee, Sewoong Lee, 2021, NeurIPS.

Adversarial Neural Pruning with Latent Vulnerability Suppression

Sung Ju Hwang, Jinwoo Shin, Divyam Madaan, 2019, ICML.

Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs

Sung Ju Hwang, Dong Bok Lee, Seanie Lee, 2020, ACL.

Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs

Sung Ju Hwang, Seong Min Kye, Youngmoon Jung, 2020, INTERSPEECH.

Personalized Subgraph Federated Learning

Sung Ju Hwang, Jinheon Baek, Jaehong Yoon, 2022, ICML.

DiffusionNAG: Task-guided Neural Architecture Generation with Diffusion Models

Sung Ju Hwang, Hayeon Lee, Sohyun An, 2023, ArXiv.

Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks

Sung Ju Hwang, Kenji Kawaguchi, Jinheon Baek, 2023, ArXiv.

Direct Fact Retrieval from Knowledge Graphs without Entity Linking

Sung Ju Hwang, Alham Fikri Aji, Jens Lehmann, 2023, ACL.

Sparsity Normalization: Stabilizing the Expected Outputs of Deep Networks

Sung Ju Hwang, Eunho Yang, Joonyoung Yi, 2019, ArXiv.

Forget-free Continual Learning with Soft-Winning SubNetworks

Sung Ju Hwang, Sultan Rizky Hikmawan Madjid, Jaehong Yoon, 2023, ArXiv.

On the Soft-Subnetwork for Few-shot Class Incremental Learning

Sung Ju Hwang, Sultan Rizky Hikmawan Madjid, Jaehong Yoon, 2022, ICLR.

SCORE-BASED OUT-OF-DISTRIBUTION GENERATION

Sung Ju Hwang, Jaehyeong Jo, 2023 .

Knowledge-Consistent Dialogue Generation with Knowledge Graphs

Sung Ju Hwang, Jinheon Baek, Minki Kang, 2022 .

Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation

Sung Ju Hwang, Jinheon Baek, Soyeong Jeong, 2022, ACL.

A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models

Sung Ju Hwang, Davis Liang, Hayeon Lee, 2023, ACL.

Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation

Sung Ju Hwang, Jinheon Baek, Minki Kang, 2023, ArXiv.

Federated Semi-Supervised Learning with Inter-Client Consistency

Sung Ju Hwang, Eunho Yang, Jaehong Yoon, 2020, ICLR.

Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement

Sung Ju Hwang, Jinheon Baek, Soyeong Jeong, 2023, EACL.

Language Detoxification with Attribute-Discriminative Latent Space

Sung Ju Hwang, Jin Myung Kwak, Minseon Kim, 2022, ACL.

Learning the Relative Importance of Objects from Tagged Images for Retrieval and Cross-Modal Search

Sung Ju Hwang, K. Grauman, 2012, International Journal of Computer Vision.

Large-Scale Meta-Learning with Continual Trajectory Shifting

Sung Ju Hwang, Boqing Gong, Haebeom Lee, 2021, ICML.

Phrase Retrieval for Open-Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning

Sung Ju Hwang, Jinheon Baek, Soyeong Jeong, 2023, ACL.

Graph Generation with Destination-Predicting Diffusion Mixture

Sung Ju Hwang, Dongki Kim, Jaehyeong Jo, 2023, 2302.03596.

Graph Generation with Destination-Driven Diffusion Mixture

Sung Ju Hwang, Dongki Kim, Jaehyeong Jo, 2023, arXiv.org.

Lifelong Learning with Dynamically Expandable Networks

Sung Ju Hwang, Eunho Yang, Jaehong Yoon, 2017, ICLR.

Self-Distillation for Further Pre-training of Transformers

Sung Ju Hwang, Juho Lee, Kenji Kawaguchi, 2022, International Conference on Learning Representations.

Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks

Sung Ju Hwang, Kenji Kawaguchi, Jinheon Baek, 2023, NeurIPS.

Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty

Sung Ju Hwang, Haebeom Lee, Jeffrey Willette, 2021, International Conference on Learning Representations.

Progressive Fourier Neural Representation for Sequential Video Compilation

Sung Ju Hwang, Jaehong Yoon, Dahyun Kim, 2023, 2306.11305.

Learning Transferable Adversarial Robust Representations via Multi-view Consistency

Sung Ju Hwang, Hyeonjeong Ha, Minseon Kim, 2022, 2210.10485.

Effective Targeted Attacks for Adversarial Self-Supervised Learning

Sung Ju Hwang, Sooel Son, Hyeonjeong Ha, 2022, 2210.10482.

Deep Mixed Effect Models using Gaussian Process: A Personalized and Reliable Prediction Model for Healthcare

Sung Ju Hwang, Kwang Joon Kim, Eunho Yang, 2019 .

Graph Generation with Diffusion Mixture

Sung Ju Hwang, Dongki Kim, Jaehyeong Jo, 2023, 2302.03596.

Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective

Sung Ju Hwang, L. Sigal, Yu-Gang Jiang, 2018, ArXiv.

Graph Self-supervised Learning with Accurate Discrepancy Learning

Sung Ju Hwang, Jinheon Baek, Dongki Kim, 2022, NeurIPS.