Sung Ju Hwang - RankMe

360 papers A* 120A 5Misc 1Journal 200Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Avatar Forcing: Real-Time Interactive Head Avatar Generation for Natural Conversation. CoRR Taekyung Ki, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Sung Ju Hwang
2026	J	`jnl`	ES-Merging: Biological MLLM Merging via Embedding Space Signals. CoRR Wonbin Lee, Dongki Kim, Sung Ju Hwang
2026	J	`jnl`	GFlowPO: Generative Flow Network as a Language Model Prompt Optimizer. CoRR Junmo Cho, Suhan Kim, Sangjune An, Minsu Kim, Dong Bok Lee, Heejun Lee, Sung Ju Hwang, Hae Beom Lee
2026	J	`jnl`	MA-EgoQA: Question Answering over Egocentric Videos from Multiple Embodied Agents. CoRR Kangsan Kim, Yanlai Yang, Suji Kim, Woongyeong Yeo, Youngwan Lee, Mengye Ren, Sung Ju Hwang
2026	J	`jnl`	MultihopSpatial: Multi-hop Compositional Spatial Reasoning Benchmark for Vision-Language Model. CoRR Youngwan Lee, Soojin Jang, Yoorhim Cho, Seunghwan Lee, Yong-Ju Lee, Sung Ju Hwang
2026	J	`jnl`	Self-Refining Video Sampling. CoRR Sangwon Jang, Taekyung Ki, Jaehyeong Jo, Saining Xie, Jaehong Yoon, Sung Ju Hwang
2026	J	`jnl`	T-MAP: Red-Teaming LLM Agents with Trajectory-aware Evolutionary Search. CoRR Hyomin Lee, Sangwoo Park, Yumin Choi, Sohyun An, Seanie Lee, Sung Ju Hwang
2026	J	`jnl`	THINKSAFE: Self-Generated Safety Alignment for Reasoning Models. CoRR Seanie Lee, Sangwoo Park, Yumin Choi, Gyeongman Kim, Minki Kang, Jihun Yun, Dongmin Park, Jongho Park, Sung Ju Hwang
2026	J	`jnl`	TS-Debate: Multimodal Collaborative Debate for Zero-Shot Time Series Reasoning. CoRR Patara Trirat, Jin Myung Kwak, Jay Heo, Heejun Lee, Sung Ju Hwang
2026	—	`conf`	Unified Multimodal Interleaved Document Representation for Retrieval. EACL (Findings) Jaewoo Lee, Joonho Ko, Jinheon Baek, Soyeong Jeong, Sung Ju Hwang
2025	A*	`conf`	A Training-Free Sub-quadratic Cost Transformer Model Serving Framework with Hierarchically Pruned Attention. ICLR Heejun Lee, Geon Park, Youngwan Lee, Jaduk Suh, Jina Kim, Wonyong Jeong, Bumsik Kim, Hyemin Lee, Myeongjae Jeon, Sung Ju Hwang
2025	J	`jnl`	Agentic Predictor: Performance Prediction for Agentic Workflows via Multi-View Encoding. CoRR Patara Trirat, Wonyong Jeong, Sung Ju Hwang
2025	A*	`conf`	AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML. ICML Patara Trirat, Wonyong Jeong, Sung Ju Hwang
2025	A*	`conf`	Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks. ICML Dongwoo Lee, Dong Bok Lee, Steven Adriaensen, Juho Lee, Sung Ju Hwang, Frank Hutter, Seon Joo Kim, Hae Beom Lee
2025	J	`jnl`	Bayesian Neural Scaling Laws Extrapolation with Prior-Fitted Networks. CoRR Dongwoo Lee, Dong Bok Lee, Steven Adriaensen, Juho Lee, Sung Ju Hwang, Frank Hutter, Seon Joo Kim, Hae Beom Lee
2025	J	`jnl`	Continual Learning: Forget-Free Winning Subnetworks for Video Representations. IEEE Trans. Pattern Anal. Mach. Intell. Haeyong Kang, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo
2025	J	`jnl`	Continuous Diffusion Model for Language Modeling. CoRR Jaehyeong Jo, Sung Ju Hwang
2025	J	`jnl`	Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning. CoRR Dong Bok Lee, Aoxuan Silvia Zhang, Byungjoo Kim, Junhyeon Park, Steven Adriaensen, Juho Lee, Sung Ju Hwang, Hae Beom Lee
2025	A*	`conf`	Database-Augmented Query Representation for Information Retrieval. EMNLP Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park
2025	J	`jnl`	Delta Attention: Fast and Accurate Sparse Attention Inference by Delta Correction. CoRR Jeffrey Willette, Heejun Lee, Sung Ju Hwang
2025	A*	`conf`	Diffusion-based Neural Network Weights Generation. ICLR Bedionita Soro, Bruno Andreis, Hayeon Lee, Wonyong Jeong, Song Chong, Frank Hutter, Sung Ju Hwang
2025	J	`jnl`	Distilling LLM Agent into Small Models with Retrieval and Code Tools. CoRR Minki Kang, Jongwon Jeong, Seanie Lee, Jaewoong Cho, Sung Ju Hwang
2025	—	`conf`	Efficient Long Context Language Model Retrieval with Compression. ACL (1) Minju Seo, Jinheon Baek, Seongyun Lee, Sung Ju Hwang
2025	A*	`conf`	Efficient Real-time Refinement of Language Model Text Generation. EMNLP Joonho Ko, Jinheon Baek, Sung Ju Hwang
2025	J	`jnl`	Enhancing Variational Autoencoders with Smooth Robust Latent Encoding. CoRR Hyomin Lee, Minseon Kim, Sangwon Jang, Jongheon Jeong, Sung Ju Hwang
2025	J	`jnl`	FedRand: Enhancing Privacy in Federated Learning with Randomized LoRA Subparameter Updates. CoRR Sangwoo Park, Seanie Lee, Byungjoo Kim, Sung Ju Hwang
2025	J	`jnl`	FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA. CoRR Seanie Lee, Sangwoo Park, Dong Bok Lee, Dominik Wagner, Haebin Seong, Tobias Bocklet, Juho Lee, Sung Ju Hwang
2025	J	`jnl`	Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Models. CoRR Sangwon Jang, Taekyung Ki, Jaehyeong Jo, Jaehong Yoon, Soo Ye Kim, Zhe Lin, Sung Ju Hwang
2025	A*	`conf`	HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models. ICLR Seanie Lee, Haebin Seong, Dong Bok Lee, Minki Kang, Xiaoyin Chen, Dominik Wagner, Yoshua Bengio, Juho Lee, Sung Ju Hwang
2025	J	`jnl`	HoliSafe: Holistic Safety Benchmarking and Modeling with Safety Meta Token for Vision-Language Model. CoRR Youngwan Lee, Kangsan Kim, Kwanyong Park, Ilcahe Jung, Soojin Jang, Seanie Lee, Yong-Ju Lee, Sung Ju Hwang
2025	J	`jnl`	InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU. CoRR Heejun Lee, Geon Park, Jaduk Suh, Sung Ju Hwang
2025	J	`jnl`	Instruction-Guided Autoregressive Neural Network Parameter Generation. CoRR Bedionita Soro, Bruno Andreis, Song Chong, Sung Ju Hwang
2025	A*	`conf`	Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning. ICLR Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain
2025	J	`jnl`	Mol-LLaMA: Towards General Understanding of Molecules in Large Molecular Language Model. CoRR Dongki Kim, Wonbin Lee, Sung Ju Hwang
2025	J	`jnl`	Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs. CoRR Yumin Choi, Dongki Kim, Jinheon Baek, Sung Ju Hwang
2025	J	`jnl`	PCoreSet: Effective Active Learning through Knowledge Distillation from Vision-Language Models. CoRR Seongjae Kang, Dong Bok Lee, Hyungjoon Jang, Dongseop Kim, Sung Ju Hwang
2025	J	`jnl`	PRISM: Fine-Grained Paper-to-Paper Retrieval with Multi-Aspect-Aware Query Optimization. CoRR Sangwoo Park, Jinheon Baek, Soyeong Jeong, Sung Ju Hwang
2025	J	`jnl`	Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning. CoRR Minju Seo, Jinheon Baek, Seongyun Lee, Sung Ju Hwang
2025	J	`jnl`	Real-time Verification and Refinement of Language Model Text Generation. CoRR Joonho Ko, Jinheon Baek, Sung Ju Hwang
2025	—	`conf`	ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models. NAACL (Long Papers) Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, Sung Ju Hwang
2025	J	`jnl`	Rethinking Reward Models for Multi-Domain Test-Time Scaling. CoRR Dong Bok Lee, Seanie Lee, Sangwoo Park, Minki Kang, Jinheon Baek, Dongki Kim, Dominik Wagner, Jiongdao Jin, Heejun Lee, Tobias Bocklet, Jinyu Wang, Jingjing Fu, Sung Ju Hwang, Jiang Bian, Lei Song
2025	J	`jnl`	Robust Molecular Property Prediction via Densifying Scarce Labeled Data. CoRR Jina Kim, Jeffrey Willette, Bruno Andreis, Sung Ju Hwang
2025	—	`conf`	SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models. ACL (Findings) Seanie Lee, Dong Bok Lee, Dominik Wagner, Minki Kang, Haebin Seong, Tobias Bocklet, Juho Lee, Sung Ju Hwang
2025	J	`jnl`	SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models. CoRR Seanie Lee, Dong Bok Lee, Dominik Wagner, Minki Kang, Haebin Seong, Tobias Bocklet, Juho Lee, Sung Ju Hwang
2025	A*	`conf`	Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models. CVPR Sangwon Jang, June Suk Choi, Jaehyeong Jo, Kimin Lee, Sung Ju Hwang
2025	J	`jnl`	Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models. CoRR Sangwon Jang, June Suk Choi, Jaehyeong Jo, Kimin Lee, Sung Ju Hwang
2025	J	`jnl`	Simple Semi-supervised Knowledge Distillation from Vision-Language Models via CoRR Seongjae Kang, Dong Bok Lee, Hyungjoon Jang, Sung Ju Hwang
2025	A*	`conf`	Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching. EMNLP Simon A. Aytes, Jinheon Baek, Sung Ju Hwang
2025	J	`jnl`	Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching. CoRR Simon A. Aytes, Jinheon Baek, Sung Ju Hwang
2025	J	`jnl`	SpeedAug: Policy Acceleration via Tempo-Enriched Policy and RL Fine-Tuning. CoRR Taewook Nam, Sung Ju Hwang
2025	J	`jnl`	System Prompt Optimization with Meta-Learning. CoRR Yumin Choi, Jinheon Baek, Sung Ju Hwang
2025	A*	`conf`	Training Free Exponential Context Extension via Cascading KV Cache. ICLR Jeffrey Willette, Heejun Lee, Youngwan Lee, Myeongjae Jeon, Sung Ju Hwang
2025	J	`jnl`	UniversalRAG: Retrieval-Augmented Generation over Multiple Corpora with Diverse Modalities and Granularities. CoRR Woongyeong Yeo, Kangsan Kim, Soyeong Jeong, Jinheon Baek, Sung Ju Hwang
2025	A*	`conf`	VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video Understanding. CVPR Kangsan Kim, Geon Park, Youngwan Lee, Woongyeong Yeo, Sung Ju Hwang
2025	—	`conf`	VideoRAG: Retrieval-Augmented Generation over Video Corpus. ACL (Findings) Soyeong Jeong, Kangsan Kim, Jinheon Baek, Sung Ju Hwang
2025	J	`jnl`	VideoRAG: Retrieval-Augmented Generation over Video Corpus. CoRR Soyeong Jeong, Kangsan Kim, Jinheon Baek, Sung Ju Hwang
2025	J	`jnl`	When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs. CoRR Soyeong Jeong, Taehee Jung, Sung Ju Hwang, Joo-Kyung Kim, Dongyeop Kang
2025	J	`jnl`	WorldMM: Dynamic Multimodal Memory Agent for Long Video Reasoning. CoRR Woongyeong Yeo, Kangsan Kim, Jaehong Yoon, Sung Ju Hwang
2024	—	`conf`	Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity. NAACL-HLT Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong Park
2024	J	`jnl`	Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity. CoRR Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park
2024	J	`jnl`	AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML. CoRR Patara Trirat, Wonyong Jeong, Sung Ju Hwang
2024	J	`jnl`	Automatic Jailbreaking of the Text-to-Image Generative AI Systems. CoRR Minseon Kim, Hyomin Lee, Boqing Gong, Huishuai Zhang, Sung Ju Hwang
2024	A*	`conf`	BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation. ICML Daeun Lee, Jaehong Yoon, Sung Ju Hwang
2024	J	`jnl`	BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation. CoRR Daeun Lee, Jaehong Yoon, Sung Ju Hwang
2024	—	`conf`	Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models. NAACL-HLT Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sangmin Bae, Namgyu Ho, Sung Ju Hwang, Se-Young Yun
2024	A*	`conf`	Concept-skill Transferability-based Data Selection for Large Vision-Language Models. EMNLP Jaewoo Lee, Boyang Li, Sung Ju Hwang
2024	J	`jnl`	Concept-skill Transferability-based Data Selection for Large Vision-Language Models. CoRR Jaewoo Lee, Boyang Li, Sung Ju Hwang
2024	J	`jnl`	Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of Learning Curve Extrapolation. CoRR Dong Bok Lee, Aoxuan Silvia Zhang, Byungjoo Kim, Junhyeon Park, Juho Lee, Sung Ju Hwang, Hae Beom Lee
2024	J	`jnl`	Database-Augmented Query Representation for Information Retrieval. CoRR Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park
2024	J	`jnl`	Diffusion-based Neural Network Weights Generation. CoRR Bedionita Soro, Bruno Andreis, Hayeon Lee, Song Chong, Frank Hutter, Sung Ju Hwang
2024	A*	`conf`	DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models. ICLR Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang
2024	A*	`conf`	Drug Discovery with Dynamic Goal-aware Fragments. ICML Seul Lee, Seanie Lee, Kenji Kawaguchi, Sung Ju Hwang
2024	A*	`conf`	ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning. CVPR Beomyoung Kim, Joonsang Yu, Sung Ju Hwang
2024	J	`jnl`	ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning. CoRR Beomyoung Kim, Joonsang Yu, Sung Ju Hwang
2024	A*	`conf`	EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens. ICML Sunil Hwang, Jaehong Yoon, Youngwan Lee, Sung Ju Hwang
2024	J	`jnl`	Efficient Long Context Language Model Retrieval with Compression. CoRR Minju Seo, Jinheon Baek, Seongyun Lee, Sung Ju Hwang
2024	A*	`conf`	Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes. ICML Jaehyeong Jo, Sung Ju Hwang
2024	A*	`conf`	Graph Generation with Diffusion Mixture. ICML Jaehyeong Jo, Dongki Kim, Sung Ju Hwang
2024	J	`jnl`	HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models. CoRR Seanie Lee, Haebin Seong, Dong Bok Lee, Minki Kang, Xiaoyin Chen, Dominik Wagner, Yoshua Bengio, Juho Lee, Sung Ju Hwang
2024	J	`jnl`	HiP Attention: Sparse Sub-Quadratic Attention with Hierarchical Attention Pruning. CoRR Heejun Lee, Geon Park, Youngwan Lee, Jina Kim, Wonyoung Jeong, Myeongjae Jeon, Sung Ju Hwang
2024	A*	`conf`	Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models. NeurIPS Sangwon Jang, Jaehyeong Jo, Kimin Lee, Sung Ju Hwang
2024	J	`jnl`	Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models. CoRR Sangwon Jang, Jaehyeong Jo, Kimin Lee, Sung Ju Hwang
2024	A*	`conf`	KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis. NeurIPS Youngwan Lee, Kwanyong Park, Yoorhim Cho, Yong-Ju Lee, Sung Ju Hwang
2024	—	`conf`	LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs. ClinicalNLP@NAACL Yongrae Jo, Seongyun Lee, Minju Seo, Sung Ju Hwang, Moontae Lee
2024	J	`jnl`	LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs. CoRR Yongrae Jo, Seongyun Lee, Minju Seo, Sung Ju Hwang, Moontae Lee
2024	A*	`conf`	Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models. NeurIPS Minki Kang, Sung Ju Hwang, Gibbeum Lee, Jaewoong Cho
2024	J	`jnl`	Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models. CoRR Minki Kang, Sung Ju Hwang, Gibbeum Lee, Jaewoong Cho
2024	J	`jnl`	Learning diverse attacks on large language models for robust red-teaming and safety tuning. CoRR Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain
2024	A*	`conf`	One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts. ICML Ruochen Wang, Sohyun An, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-Jui Hsieh
2024	J	`jnl`	One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts. CoRR Ruochen Wang, Sohyun An, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-Jui Hsieh
2024	J	`jnl`	Optimizing Query Generation for Enhanced Document Retrieval in RAG. CoRR Hamin Koo, Minseon Kim, Sung Ju Hwang
2024	A*	`conf`	Progressive Fourier Neural Representation for Sequential Video Compilation. ICLR Haeyong Kang, Jaehong Yoon, Dahyun Kim, Sung Ju Hwang, Chang D. Yoo
2024	J	`jnl`	ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models. CoRR Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, Sung Ju Hwang
2024	—	`conf`	Rethinking Code Refinement: Learning to Judge Code Efficiency. EMNLP (Findings) Minju Seo, Jinheon Baek, Sung Ju Hwang
2024	J	`jnl`	Rethinking Code Refinement: Learning to Judge Code Efficiency. CoRR Minju Seo, Jinheon Baek, Sung Ju Hwang
2024	J	`jnl`	Rethinking Saliency-Guided Weakly-Supervised Semantic Segmentation. CoRR Beomyoung Kim, Donghyun Kim, Sung Ju Hwang
2024	J	`jnl`	Retrieval-Augmented Data Augmentation for Low-Resource Domain Tasks. CoRR Minju Seo, Jinheon Baek, James Thorne, Sung Ju Hwang
2024	A*	`conf`	SEA: Sparse Linear Attention with Estimated Attention Mask. ICLR Heejun Lee, Jina Kim, Jeffrey Willette, Sung Ju Hwang
2024	A*	`conf`	STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment. ICML Jaewoo Lee, Jaehong Yoon, Wonjae Kim, Yunji Kim, Sung Ju Hwang
2024	A*	`conf`	Self-Supervised Dataset Distillation for Transfer Learning. ICLR Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
2024	A*	`conf`	Set-based Neural Network Encoding Without Weight Tying. NeurIPS Bruno Andreis, Bedionita Soro, Philip H. S. Torr, Sung Ju Hwang
2024	J	`jnl`	Targeted Model Inversion: Distilling style encoded in predictions. Comput. Secur. Hoyong Jeong, Kiwon Chung, Sung Ju Hwang, Sooel Son
2024	J	`jnl`	Towards Label-Efficient Human Matting: A Simple Baseline for Weakly Semi-Supervised Trimap-Free Human Matting. CoRR Beomyoung Kim, Myeong-Yeon Yi, Joonsang Yu, Young Joon Yoo, Sung Ju Hwang
2024	J	`jnl`	Training-Free Exponential Extension of Sliding Window Context with Cascading KV Cache. CoRR Jeffrey Willette, Heejun Lee, Youngwan Lee, Myeongjae Jeon, Sung Ju Hwang
2024	J	`jnl`	Unified Multi-Modal Interleaved Document Representation for Information Retrieval. CoRR Jaewoo Lee, Joonho Ko, Jinheon Baek, Soyeong Jeong, Sung Ju Hwang
2024	J	`jnl`	VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video Understanding. CoRR Kangsan Kim, Geon Park, Youngwan Lee, Woongyeong Yeo, Sung Ju Hwang
2024	J	`jnl`	Visualizing the loss landscape of Self-supervised Vision Transformer. CoRR Youngwan Lee, Jeffrey Ryan Willette, Jonghee Kim, Sung Ju Hwang
2023	—	`conf`	A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models. ACL (Findings) Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min
2023	J	`jnl`	A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models. CoRR Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Sung Ju Hwang, Alexander Min
2023	J	`jnl`	Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models. CoRR Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sung Ju Hwang, Se-Young Yun
2023	—	`conf`	Co-training and Co-distillation for Quality Improvement and Compression of Language Models. EMNLP (Findings) Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min
2023	J	`jnl`	Co-training and Co-distillation for Quality Improvement and Compression of Language Models. CoRR Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang, Sung Ju Hwang, Alexander Min
2023	J	`jnl`	Context-Preserving Two-Stage Video Domain Translation for Portrait Stylization. CoRR Doyeon Kim, Eunji Ko, Hyunsu Kim, Yunji Kim, Junho Kim, Dongchan Min, Junmo Kim, Sung Ju Hwang
2023	J	`jnl`	Context-dependent Instruction Tuning for Dialogue Response Generation. CoRR Jin Myung Kwak, Minseon Kim, Sung Ju Hwang
2023	A*	`conf`	Continual Learners are Incremental Model Generalizers. ICML Jaehong Yoon, Sung Ju Hwang, Yue Cao
2023	J	`jnl`	Continual Learners are Incremental Model Generalizers. CoRR Jaehong Yoon, Sung Ju Hwang, Yue Cao
2023	J	`jnl`	Continual Learning: Forget-free Winning Subnetworks for Video Representations. CoRR Haeyong Kang, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo
2023	J	`jnl`	DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, Sung-Ju Lee
2023	J	`jnl`	Deep Self-Supervised Diversity Promoting Learning on Hierarchical Hyperspheres for Regularization. IEEE Access Youngsung Kim, Yoonsuk Hyun, Jae-Joon Han, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
2023	J	`jnl`	DiffusionNAG: Task-guided Neural Architecture Generation with Diffusion Models. CoRR Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang
2023	—	`conf`	Direct Fact Retrieval from Knowledge Graphs without Entity Linking. ACL (1) Jinheon Baek, Alham Fikri Aji, Jens Lehmann, Sung Ju Hwang
2023	J	`jnl`	Direct Fact Retrieval from Knowledge Graphs without Entity Linking. CoRR Jinheon Baek, Alham Fikri Aji, Jens Lehmann, Sung Ju Hwang
2023	J	`jnl`	Drug Discovery with Dynamic Goal-aware Fragments. CoRR Seul Lee, Seanie Lee, Sung Ju Hwang
2023	A*	`conf`	Effective Targeted Attacks for Adversarial Self-Supervised Learning. NeurIPS Minseon Kim, Hyeonjeong Ha, Sooel Son, Sung Ju Hwang
2023	A*	`conf`	Exploring Chemical Space with Score-based Out-of-distribution Generation. ICML Seul Lee, Jaehyeong Jo, Sung Ju Hwang
2023	A*	`conf`	Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders. ICLR Youngwan Lee, Jeffrey Ryan Willette, Jonghee Kim, Juho Lee, Sung Ju Hwang
2023	J	`jnl`	Forget-free Continual Learning with Soft-Winning SubNetworks. CoRR Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo
2023	A*	`conf`	Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations. NeurIPS Hyeonjeong Ha, Minseon Kim, Sung Ju Hwang
2023	J	`jnl`	Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations. CoRR Hyeonjeong Ha, Minseon Kim, Sung Ju Hwang
2023	J	`jnl`	Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes. CoRR Jaehyeong Jo, Sung Ju Hwang
2023	Misc	`conf`	Grad-StyleSpeech: Any-Speaker Adaptive Text-to-Speech Synthesis with Diffusion Models. ICASSP Minki Kang, Dongchan Min, Sung Ju Hwang
2023	J	`jnl`	Graph Generation with Destination-Driven Diffusion Mixture. CoRR Jaehyeong Jo, Dongki Kim, Sung Ju Hwang
2023	J	`jnl`	KOALA: Self-Attention Matters in Knowledge Distillation of Latent Diffusion Models for Memory-Efficient and Fast Image Synthesis. CoRR Youngwan Lee, Kwanyong Park, Yoorhim Cho, Yong-Ju Lee, Sung Ju Hwang
2023	J	`jnl`	Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation. CoRR Minki Kang, Jin Myung Kwak, Jinheon Baek, Sung Ju Hwang
2023	A*	`conf`	Knowledge-Augmented Language Model Verification. EMNLP Jinheon Baek, Soyeong Jeong, Minki Kang, Jong C. Park, Sung Ju Hwang
2023	J	`jnl`	Knowledge-Augmented Language Model Verification. CoRR Jinheon Baek, Soyeong Jeong, Minki Kang, Jong C. Park, Sung Ju Hwang
2023	A*	`conf`	Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks. NeurIPS Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi, Sung Ju Hwang
2023	J	`jnl`	Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks. CoRR Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi, Sung Ju Hwang
2023	—	`conf`	Language Detoxification with Attribute-Discriminative Latent Space. ACL (1) Jin Myung Kwak, Minseon Kim, Sung Ju Hwang
2023	J	`jnl`	LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers. CoRR Taewook Nam, Juyong Lee, Jesse Zhang, Sung Ju Hwang, Joseph J. Lim, Karl Pertsch
2023	A*	`conf`	Margin-based Neural Network Watermarking. ICML Byungjoo Kim, Suyoung Lee, Seanie Lee, Sooel Son, Sung Ju Hwang
2023	A*	`conf`	Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets. ICLR Hayeon Lee, Sohyun An, Minseon Kim, Sung Ju Hwang
2023	J	`jnl`	Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets. CoRR Hayeon Lee, Sohyun An, Minseon Kim, Sung Ju Hwang
2023	A*	`conf`	On the Soft-Subnetwork for Few-Shot Class Incremental Learning. ICLR Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo
2023	A*	`conf`	Personalized Subgraph Federated Learning. ICML Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang
2023	—	`conf`	Phrase Retrieval for Open Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning. ACL (Findings) Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, Jong Park
2023	J	`jnl`	Phrase Retrieval for Open-Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning. CoRR Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, Jong C. Park
2023	J	`jnl`	Progressive Neural Representation for Sequential Video Compilation. CoRR Haeyong Kang, Dahyun Kim, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo
2023	A	`conf`	Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement. EACL Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, Jong Park
2023	J	`jnl`	Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement. CoRR Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, Jong C. Park
2023	—	`conf`	Rethinking the Entropy of Instance in Adversarial Training. SaTML Minseon Kim, Jihoon Tack, Jinwoo Shin, Sung Ju Hwang
2023	J	`jnl`	SEA: Sparse Linear Attention with Estimated Attention Mask. CoRR Heejun Lee, Jina Kim, Jeffrey Willette, Sung Ju Hwang
2023	J	`jnl`	STELLA: Continual Audio-Video Pre-training with Spatio-Temporal Localized Alignment. CoRR Jaewoo Lee, Jaehong Yoon, Wonjae Kim, Yunji Kim, Sung Ju Hwang
2023	A*	`conf`	STXD: Structural and Temporal Cross-Modal Distillation for Multi-View 3D Object Detection. NeurIPS Sujin Jang, Dae Ung Jo, Sung Ju Hwang, Dongwook Lee, Daehyun Ji
2023	A*	`conf`	Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation. ICML Jeffrey Willette, Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
2023	A*	`conf`	Self-Distillation for Further Pre-training of Transformers. ICLR Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi
2023	J	`jnl`	Self-Supervised Dataset Distillation for Transfer Learning. CoRR Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
2023	A*	`conf`	Self-Supervised Set Representation Learning for Unsupervised Meta-Learning. ICLR Dong Bok Lee, Seanie Lee, Kenji Kawaguchi, Yunji Kim, Jihwan Bang, Jung-Woo Ha, Sung Ju Hwang
2023	J	`jnl`	Set-based Neural Network Encoding. CoRR Bruno Andreis, Bedionita Soro, Sung Ju Hwang
2023	A*	`conf`	Sparse Token Transformer with Attention Back Tracking. ICLR Heejun Lee, Minki Kang, Youngwan Lee, Sung Ju Hwang
2023	—	`conf`	Test-Time Self-Adaptive Small Language Models for Question Answering. EMNLP (Findings) Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong Park
2023	J	`jnl`	Test-Time Self-Adaptive Small Language Models for Question Answering. CoRR Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park
2023	A*	`conf`	Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models. ICCV Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang
2023	J	`jnl`	Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models. CoRR Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang
2023	A*	`conf`	The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation. CVPR Beomyoung Kim, Joonhyun Jeong, Dongyoon Han, Sung Ju Hwang
2023	J	`jnl`	The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation. CoRR Beomyoung Kim, Joonhyun Jeong, Dongyoon Han, Sung Ju Hwang
2023	A	`conf`	ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models. INTERSPEECH Minki Kang, Wooseok Han, Sung Ju Hwang, Eunho Yang
2023	J	`jnl`	ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models. CoRR Minki Kang, Wooseok Han, Sung Ju Hwang, Eunho Yang
2022	J	`jnl`	A Simple Framework for Robust Out-of-Distribution Detection. IEEE Access Youngbum Hur, Eunho Yang, Sung Ju Hwang
2022	J	`jnl`	Any-speaker Adaptive Text-To-Speech Synthesis with Diffusion Models. CoRR Minki Kang, Dongchan Min, Sung Ju Hwang
2022	—	`conf`	Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation. ACL (2) Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park
2022	J	`jnl`	Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation. CoRR Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park
2022	—	`conf`	BiTAT: Neural Network Binarization with Task-Dependent Aggregated Transformation. ECCV Workshops (7) Geon Park, Jaehong Yoon, Haiyang Zhang, Xing Zhang, Sung Ju Hwang, Yonina C. Eldar
2022	J	`jnl`	BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation. CoRR Geon Park, Jaehong Yoon, Haiyang Zhang, Xing Zhang, Sung Ju Hwang, Yonina C. Eldar
2022	A*	`conf`	Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization. ICML Jaehong Yoon, Geon Park, Wonyong Jeong, Sung Ju Hwang
2022	J	`jnl`	Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization. CoRR Jaehong Yoon, Geon Park, Wonyong Jeong, Sung Ju Hwang
2022	A*	`conf`	Consistency Regularization for Adversarial Robustness. AAAI Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin
2022	J	`jnl`	Dataset Condensation with Latent Space Knowledge Factorization and Sharing. CoRR Hae Beom Lee, Dong Bok Lee, Sung Ju Hwang
2022	J	`jnl`	Distortion-Aware Network Pruning and Feature Reuse for Real-time Video Segmentation. CoRR Hyunsu Rhee, Dongchan Min, Sunil Hwang, Bruno Andreis, Sung Ju Hwang
2022	J	`jnl`	Efficient Video Representation Learning via Masked Video Modeling with Motion-centric Token Selection. CoRR Sunil Hwang, Jaehong Yoon, Youngwan Lee, Sung Ju Hwang
2022	J	`jnl`	Exploring Chemical Space with Score-based Out-of-distribution Generation. CoRR Seul Lee, Jaehyeong Jo, Sung Ju Hwang
2022	J	`jnl`	Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders. CoRR Youngwan Lee, Jeffrey Willette, Jonghee Kim, Juho Lee, Sung Ju Hwang
2022	J	`jnl`	Factorized-FL: Agnostic Personalized Federated Learning with Kernel Factorization & Similarity Matching. CoRR Wonyong Jeong, Sung Ju Hwang
2022	A*	`conf`	Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching. NeurIPS Wonyong Jeong, Sung Ju Hwang
2022	J	`jnl`	Few-shot Transferable Robust Representation Learning via Bilevel Attacks. CoRR Minseon Kim, Hyeonjeong Ha, Sung Ju Hwang
2022	A*	`conf`	Forget-free Continual Learning with Winning Subnetworks. ICML Haeyong Kang, Rusty John Lloyd Mina, Sultan Rizky Hikmawan Madjid, Jaehong Yoon, Mark Hasegawa-Johnson, Sung Ju Hwang, Chang D. Yoo
2022	A*	`conf`	Graph Self-supervised Learning with Accurate Discrepancy Learning. NeurIPS Dongki Kim, Jinheon Baek, Sung Ju Hwang
2022	J	`jnl`	Graph Self-supervised Learning with Accurate Discrepancy Learning. CoRR Dongki Kim, Jinheon Baek, Sung Ju Hwang
2022	—	`conf`	KALA: Knowledge-Augmented Language Model Adaptation. NAACL-HLT Minki Kang, Jinheon Baek, Sung Ju Hwang
2022	J	`jnl`	KALA: Knowledge-Augmented Language Model Adaptation. CoRR Minki Kang, Jinheon Baek, Sung Ju Hwang
2022	J	`jnl`	Language Detoxification with Attribute-Discriminative Latent Space. CoRR Jin Myung Kwak, Minseon Kim, Sung Ju Hwang
2022	J	`jnl`	Learning the Compositional Domains for Generalized Zero-shot Learning. Comput. Vis. Image Underst. Hanze Dong, Yanwei Fu, Sung Ju Hwang, Leonid Sigal, Xiangyang Xue
2022	A*	`conf`	Learning to Generate Inversion-Resistant Model Explanations. NeurIPS Hoyong Jeong, Suyoung Lee, Sung Ju Hwang, Sooel Son
2022	—	`conf`	Localization Uncertainty Estimation for Anchor-Free Object Detection. ECCV Workshops (8) Youngwan Lee, Joong-Won Hwang, Hyung-Il Kim, Kimin Yun, Yongjin Kwon, Yuseok Bae, Sung Ju Hwang
2022	A*	`conf`	MPViT: Multi-Path Vision Transformer for Dense Prediction. CVPR Youngwan Lee, Jonghee Kim, Jeffrey Willette, Sung Ju Hwang
2022	A*	`conf`	Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty. ICLR Jeffrey Ryan Willette, Hae Beom Lee, Juho Lee, Sung Ju Hwang
2022	A*	`conf`	Model-augmented Prioritized Experience Replay. ICLR Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
2022	—	`conf`	Object Detection in Aerial Images with Uncertainty-Aware Graph Network. ECCV Workshops (4) Jongha Kim, Jinheon Baek, Sung Ju Hwang
2022	J	`jnl`	Object Detection in Aerial Images with Uncertainty-Aware Graph Network. CoRR Jongha Kim, Jinheon Baek, Sung Ju Hwang
2022	J	`jnl`	On the Soft-Subnetwork for Few-shot Class Incremental Learning. CoRR Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo
2022	A*	`conf`	Online Coreset Selection for Rehearsal-based Continual Learning. ICLR Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang
2022	A*	`conf`	Online Hyperparameter Meta-Learning with Hypergradient Distillation. ICLR Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang
2022	J	`jnl`	Personalized Subgraph Federated Learning. CoRR Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang
2022	A*	`conf`	Representational Continuity for Unsupervised Continual Learning. ICLR Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang
2022	A*	`conf`	Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. AAAI Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang
2022	A*	`conf`	Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations. ICML Jaehyeong Jo, Seul Lee, Sung Ju Hwang
2022	J	`jnl`	Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations. CoRR Jaehyeong Jo, Seul Lee, Sung Ju Hwang
2022	J	`jnl`	Self-Distillation for Further Pre-training of Transformers. CoRR Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi
2022	A*	`conf`	Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning. ICLR Seanie Lee, Haebeom Lee, Juho Lee, Sung Ju Hwang
2022	A*	`conf`	Set Based Stochastic Subsampling. ICML Bruno Andreis, Seanie Lee, Tuan A. Nguyen, Juho Lee, Eunho Yang, Sung Ju Hwang
2022	A*	`conf`	Set-based Meta-Interpolation for Few-Task Meta-Learning. NeurIPS Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
2022	J	`jnl`	Set-based Meta-Interpolation for Few-Task Meta-Learning. CoRR Seanie Lee, Andreis Bruno, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
2022	A*	`conf`	Skill-based Meta-Reinforcement Learning. ICLR Taewook Nam, Shao-Hua Sun, Karl Pertsch, Sung Ju Hwang, Joseph J. Lim
2022	J	`jnl`	Skill-based Meta-Reinforcement Learning. CoRR Taewook Nam, Shao-Hua Sun, Karl Pertsch, Sung Ju Hwang, Joseph J. Lim
2022	J	`jnl`	StyleTalker: One-shot Style-based Audio-driven Talking Head Video Generation. CoRR Dongchan Min, Minyoung Song, Sung Ju Hwang
2022	J	`jnl`	Targeted Adversarial Self-Supervised Learning. CoRR Minseon Kim, Hyeonjeong Ha, Sooel Son, Sung Ju Hwang
2022	J	`jnl`	Universal Mini-Batch Consistency for Set Encoding Functions. CoRR Jeffrey Willette, Andreis Bruno, Juho Lee, Sung Ju Hwang
2021	A*	`conf`	Accurate Learning of Graph Representations with Graph Multiset Pooling. ICLR Jinheon Baek, Minki Kang, Sung Ju Hwang
2021	J	`jnl`	Accurate Learning of Graph Representations with Graph Multiset Pooling. CoRR Jinheon Baek, Minki Kang, Sung Ju Hwang
2021	A*	`conf`	Adversarial Purification with Score-based Generative Models. ICML Jongmin Yoon, Sung Ju Hwang, Juho Lee
2021	J	`jnl`	Adversarial purification with Score-based generative models. CoRR Jongmin Yoon, Sung Ju Hwang, Juho Lee
2021	A*	`conf`	Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. AAAI Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang
2021	A*	`conf`	Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss. ICCV Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang
2021	J	`jnl`	Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss. CoRR Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang
2021	J	`jnl`	Consistency Regularization for Adversarial Robustness. CoRR Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin
2021	A*	`conf`	Contrastive Learning with Adversarial Perturbations for Conditional Text Generation. ICLR Seanie Lee, Dong Bok Lee, Sung Ju Hwang
2021	J	`jnl`	DAPPER: Performance Estimation of Domain Adaptation in Mobile Sensing. CoRR Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, Sung-Ju Lee
2021	A*	`conf`	Edge Representation Learning with Hypergraphs. NeurIPS Jaehyeong Jo, Jinheon Baek, Seul Lee, Dongki Kim, Minki Kang, Sung Ju Hwang
2021	J	`jnl`	Edge Representation Learning with Hypergraphs. CoRR Jaehyeong Jo, Jinheon Baek, Seul Lee, Dongki Kim, Minki Kang, Sung Ju Hwang
2021	A*	`conf`	FedMix: Approximation of Mixup under Mean Augmented Federated Learning. ICLR Tehrim Yoon, Sumin Shin, Sung Ju Hwang, Eunho Yang
2021	J	`jnl`	FedMix: Approximation of Mixup under Mean Augmented Federated Learning. CoRR Tehrim Yoon, Sumin Shin, Sung Ju Hwang, Eunho Yang
2021	A*	`conf`	Federated Continual Learning with Weighted Inter-client Transfer. ICML Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang
2021	A*	`conf`	Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning. ICLR Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang
2021	A*	`conf`	GTA: Graph Truncated Attention for Retrosynthesis. AAAI Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju Hwang, Eunho Yang
2021	J	`jnl`	HELP: Hardware-Adaptive Efficient Latency Predictor for NAS via Meta-Learning. CoRR Hayeon Lee, Sewoong Lee, Song Chong, Sung Ju Hwang
2021	A*	`conf`	Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning. NeurIPS Hayeon Lee, Sewoong Lee, Song Chong, Sung Ju Hwang
2021	A*	`conf`	Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation. NeurIPS Soojung Yang, Doyeong Hwang, Seul Lee, Seongok Ryu, Sung Ju Hwang
2021	J	`jnl`	Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation. CoRR Soojung Yang, Doyeong Hwang, Seul Lee, Seongok Ryu, Sung Ju Hwang
2021	J	`jnl`	Improving Uncertainty Calibration via Prior Augmented Data. CoRR Jeffrey Willette, Juho Lee, Sung Ju Hwang
2021	A*	`conf`	Large-Scale Meta-Learning with Continual Trajectory Shifting. ICML Jaewoong Shin, Haebeom Lee, Boqing Gong, Sung Ju Hwang
2021	J	`jnl`	Large-Scale Meta-Learning with Continual Trajectory Shifting. CoRR Jaewoong Shin, Haebeom Lee, Boqing Gong, Sung Ju Hwang
2021	A*	`conf`	Learning to Generate Noise for Multi-Attack Robustness. ICML Divyam Madaan, Jinwoo Shin, Sung Ju Hwang
2021	—	`conf`	Learning to Perturb Word Embeddings for Out-of-distribution QA. ACL/IJCNLP (1) Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang
2021	J	`jnl`	Learning to Perturb Word Embeddings for Out-of-distribution QA. CoRR Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang
2021	A*	`conf`	Learning to Sample with Local and Global Contexts in Experience Replay Buffer. ICLR Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
2021	J	`jnl`	MPViT: Multi-Path Vision Transformer for Dense Prediction. CoRR Youngwan Lee, Jonghee Kim, Jeffrey Willette, Sung Ju Hwang
2021	J	`jnl`	Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty. CoRR Jeffrey Ryan Willette, Haebeom Lee, Juho Lee, Sung Ju Hwang
2021	A*	`conf`	Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning. ICLR Dong Bok Lee, Dongchan Min, Seanie Lee, Sung Ju Hwang
2021	A*	`conf`	Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation. ICML Dongchan Min, Dong Bok Lee, Eunho Yang, Sung Ju Hwang
2021	J	`jnl`	Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation. CoRR Dongchan Min, Dong Bok Lee, Eunho Yang, Sung Ju Hwang
2021	A*	`conf`	Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding. NeurIPS Andreis Bruno, Jeffrey Willette, Juho Lee, Sung Ju Hwang
2021	J	`jnl`	Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding. CoRR Andreis Bruno, Jeffrey Willette, Juho Lee, Sung Ju Hwang
2021	J	`jnl`	Model-Augmented Q-learning. CoRR Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
2021	A	`conf`	Multi-Domain Knowledge Distillation via Uncertainty-Matching for End-to-End ASR Models. Interspeech Ho-Gyeong Kim, Min-Joong Lee, Hoshik Lee, Tae Gyoon Kang, Jihyun Lee, Eunho Yang, Sung Ju Hwang
2021	J	`jnl`	Online Coreset Selection for Rehearsal-based Continual Learning. CoRR Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang
2021	J	`jnl`	Online Hyperparameter Meta-Learning with Hypergradient Distillation. CoRR Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang
2021	A*	`conf`	Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets. ICLR Hayeon Lee, Eunyoung Hyung, Sung Ju Hwang
2021	J	`jnl`	Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets. CoRR Hayeon Lee, Eunyoung Hyung, Sung Ju Hwang
2021	A*	`conf`	RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. IJCAI Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
2021	J	`jnl`	RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. CoRR Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Sung Ju Hwang, Eunho Yang, Jinwoo Shin
2021	J	`jnl`	Rethinking the Representational Continuity: Towards Unsupervised Continual Learning. CoRR Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang
2021	J	`jnl`	Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. CoRR Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang
2021	J	`jnl`	Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning. CoRR Seanie Lee, Haebeom Lee, Juho Lee, Sung Ju Hwang
2021	J	`jnl`	Task-Adaptive Neural Network Retrieval with Meta-Contrastive Learning. CoRR Wonyong Jeong, Hayeon Lee, Gun Park, Eunyoung Hyung, Jinheon Baek, Sung Ju Hwang
2021	A*	`conf`	Task-Adaptive Neural Network Search with Meta-Contrastive Learning. NeurIPS Wonyong Jeong, Hayeon Lee, Geon Park, Eunyoung Hyung, Jinheon Baek, Sung Ju Hwang
2020	A*	`conf`	Adversarial Neural Pruning with Latent Vulnerability Suppression. ICML Divyam Madaan, Jinwoo Shin, Sung Ju Hwang
2020	A*	`conf`	Adversarial Self-Supervised Contrastive Learning. NeurIPS Minseon Kim, Jihoon Tack, Sung Ju Hwang
2020	J	`jnl`	Adversarial Self-Supervised Contrastive Learning. CoRR Minseon Kim, Jihoon Tack, Sung Ju Hwang
2020	A*	`conf`	Attribution Preservation in Network Compression for Reliable Network Interpretation. NeurIPS Geondo Park, June Yong Yang, Sung Ju Hwang, Eunho Yang
2020	J	`jnl`	Attribution Preservation in Network Compression for Reliable Network Interpretation. CoRR Geondo Park, June Yong Yang, Sung Ju Hwang, Eunho Yang
2020	J	`jnl`	Bootstrapping Neural Processes. CoRR Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh
2020	A*	`conf`	Bootstrapping neural processes. NeurIPS Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh
2020	J	`jnl`	Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. CoRR Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang
2020	J	`jnl`	Contrastive Learning with Adversarial Perturbations for Conditional Text Generation. CoRR Seanie Lee, Dong Bok Lee, Sung Ju Hwang
2020	A*	`conf`	Cost-Effective Interactive Attention Learning with Neural Attention Processes. ICML Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang
2020	J	`jnl`	Cost-effective Interactive Attention Learning with Neural Attention Processes. CoRR Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang
2020	A*	`conf`	Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare. AAAI Ingyo Chung, Saehoon Kim, Juho Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang
2020	A*	`conf`	Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning. NeurIPS Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
2020	J	`jnl`	Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning. CoRR Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
2020	J	`jnl`	Federated Continual Learning with Adaptive Parameter Communication. CoRR Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang
2020	J	`jnl`	Federated Semi-Supervised Learning with Inter-Client Consistency. CoRR Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang
2020	A*	`conf`	Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning. NeurIPS Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
2020	J	`jnl`	Few-shot Visual Reasoning with Meta-analogical Contrastive Learning. CoRR Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
2020	A*	`conf`	Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs. ACL Dong Bok Lee, Seanie Lee, Woo Tae Jeong, Donghwan Kim, Sung Ju Hwang
2020	J	`jnl`	Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs. CoRR Dong Bok Lee, Seanie Lee, Woo Tae Jeong, Donghwan Kim, Sung Ju Hwang
2020	A*	`conf`	Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. ICLR Haebeom Lee, Hayeon Lee, Donghyun Na, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang
2020	A*	`conf`	Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction. NeurIPS Jinheon Baek, Dong Bok Lee, Sung Ju Hwang
2020	J	`jnl`	Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction. CoRR Jinheon Baek, Dong Bok Lee, Sung Ju Hwang
2020	J	`jnl`	Learning to Generate Noise for Robustness against Multiple Perturbations. CoRR Divyam Madaan, Jinwoo Shin, Sung Ju Hwang
2020	J	`jnl`	Learning to Sample with Local and Global Contexts in Experience Replay Buffer. CoRR Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
2020	J	`jnl`	Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection. CoRR Byunggill Joe, Jihun Hamm, Sung Ju Hwang, Sooel Son, Insik Shin
2020	A*	`conf`	Meta Dropout: Learning to Perturb Latent Features for Generalization. ICLR Haebeom Lee, Taewook Nam, Eunho Yang, Sung Ju Hwang
2020	A*	`conf`	Meta Variance Transfer: Learning to Augment from the Others. ICML Seong-Jin Park, Seungju Han, Ji-Won Baek, Insoo Kim, Juhwan Song, Haebeom Lee, Jae-Joon Han, Sung Ju Hwang
2020	A	`conf`	Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs. INTERSPEECH Seong Min Kye, Youngmoon Jung, Haebeom Lee, Sung Ju Hwang, Hoirin Kim
2020	J	`jnl`	Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs. CoRR Seong Min Kye, Youngmoon Jung, Haebeom Lee, Sung Ju Hwang, Hoirin Kim
2020	A*	`conf`	MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures. NeurIPS Jeongun Ryu, Jaewoong Shin, Haebeom Lee, Sung Ju Hwang
2020	J	`jnl`	MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures. CoRR Jeongun Ryu, Jaewoong Shin, Haebeom Lee, Sung Ju Hwang
2020	A*	`conf`	Neural Complexity Measures. NeurIPS Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi
2020	J	`jnl`	Neural Complexity Measures. CoRR Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi
2020	—	`conf`	Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation. EMNLP (1) Minki Kang, Moonsu Han, Sung Ju Hwang
2020	J	`jnl`	Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation. CoRR Minki Kang, Moonsu Han, Sung Ju Hwang
2020	J	`jnl`	Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning. CoRR Minyoung Song, Jaehong Yoon, Eunho Yang, Sung Ju Hwang
2020	A*	`conf`	Scalable and Order-robust Continual Learning with Additive Parameter Decomposition. ICLR Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang
2020	A*	`conf`	Segmenting 2K-Videos at 36.5 FPS with 24.3 GFLOPs: Accurate and Lightweight Realtime Semantic Segmentation Network. ICRA Dokwan Oh, Daehyun Ji, Cheolhun Jang, Yoonsuk Hyun, Hong S. Bae, Sung Ju Hwang
2020	A*	`conf`	Self-supervised Label Augmentation via Input Transformations. ICML Hankook Lee, Sung Ju Hwang, Jinwoo Shin
2020	J	`jnl`	Stochastic Subset Selection. CoRR Tuan A. Nguyen, Andreis Bruno, Juho Lee, Eunho Yang, Sung Ju Hwang
2020	A*	`conf`	Time-Reversal Symmetric ODE Network. NeurIPS In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
2020	J	`jnl`	Time-Reversal Symmetric ODE Network. CoRR In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
2020	J	`jnl`	Transductive Few-shot Learning with Meta-Learned Confidence. CoRR Seong Min Kye, Haebeom Lee, Hoirin Kim, Sung Ju Hwang
2020	A*	`conf`	Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks. ICLR Joonyoung Yi, Juhyuk Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang
2019	J	`jnl`	Adversarial Neural Pruning. CoRR Divyam Madaan, Sung Ju Hwang
2019	—	`conf`	Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data. ACL (1) Moonsu Han, Minki Kang, Hyunwoo Jung, Sung Ju Hwang
2019	J	`jnl`	Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data. CoRR Moonsu Han, Minki Kang, Hyunwoo Jung, Sung Ju Hwang
2019	A*	`conf`	Learning What and Where to Transfer. ICML Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin
2019	J	`jnl`	Learning What and Where to Transfer. CoRR Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin
2019	J	`jnl`	Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. CoRR Donghyun Na, Hayeon Lee, Haebeom Lee, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang
2019	J	`jnl`	Learning to Disentangle Robust and Vulnerable Features for Adversarial Detection. CoRR Byunggill Joe, Sung Ju Hwang, Insik Shin
2019	J	`jnl`	Learning to Generalize to Unseen Tasks with Bilevel Optimization. CoRR Hayeon Lee, Donghyun Na, Haebeom Lee, Sung Ju Hwang
2019	—	`conf`	Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning. ICLR (Poster) Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Eunho Yang, Sung Ju Hwang, Yi Yang
2019	A*	`conf`	Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss. CVPR Sangil Jung, Changyong Son, Seohyung Lee, JinWoo Son, Jae-Joon Han, Youngjun Kwak, Sung Ju Hwang, Changkyu Choi
2019	J	`jnl`	Meta Dropout: Learning to Perturb Features for Generalization. CoRR Haebeom Lee, Taewook Nam, Eunho Yang, Sung Ju Hwang
2019	J	`jnl`	ORACLE: Order Robust Adaptive Continual LEarning. CoRR Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang
2019	J	`jnl`	Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck. CoRR Sungyub Kim, Yongsu Baek, Sung Ju Hwang, Eunho Yang
2019	J	`jnl`	Rethinking Data Augmentation: Self-Supervision and Self-Distillation. CoRR Hankook Lee, Sung Ju Hwang, Jinwoo Shin
2019	J	`jnl`	Sparsity Normalization: Stabilizing the Expected Outputs of Deep Networks. CoRR Joonyoung Yi, Juhyuk Lee, Sung Ju Hwang, Eunho Yang
2018	J	`jnl`	Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout. CoRR Juho Lee, Saehoon Kim, Jaehong Yoon, Haebeom Lee, Eunho Yang, Sung Ju Hwang
2018	A*	`conf`	Deep Asymmetric Multi-task Feature Learning. ICML Haebeom Lee, Eunho Yang, Sung Ju Hwang
2018	A*	`conf`	DropMax: Adaptive Variational Softmax. NeurIPS Haebeom Lee, Juho Lee, Saehoon Kim, Eunho Yang, Sung Ju Hwang
2018	—	`conf`	Dynamic Detection-Tracking Switching. ICUFN Andries Bruno, Junhyeon Park, Sung Ju Hwang, Minwoo Kim
2018	A*	`conf`	Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding. NeurIPS Hajin Shim, Sung Ju Hwang, Eunho Yang
2018	J	`jnl`	Learning What to Remember: Long-term Episodic Memory Networks for Learning from Streaming Data. CoRR Hyunwoo Jung, Moonsu Han, Minki Kang, Sung Ju Hwang
2018	J	`jnl`	Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective. CoRR Hanze Dong, Yanwei Fu, Leonid Sigal, Sung Ju Hwang, Yu-Gang Jiang, Xiangyang Xue
2018	—	`conf`	Lifelong Learning with Dynamically Expandable Networks. ICLR (Poster) Jaehong Yoon, Eunho Yang, Jeongtae Lee, Sung Ju Hwang
2018	J	`jnl`	Mixed Effect Composite RNN-GP: A Personalized and Reliable Prediction Model for Healthcare. CoRR Ingyo Chung, Saehoon Kim, Juho Lee, Sung Ju Hwang, Eunho Yang
2018	A*	`conf`	Uncertainty-Aware Attention for Reliable Interpretation and Prediction. NeurIPS Jay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang
2018	J	`jnl`	Uncertainty-Aware Attention for Reliable Interpretation and Prediction. CoRR Jay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang
2017	A*	`conf`	Combined Group and Exclusive Sparsity for Deep Neural Networks. ICML Jaehong Yoon, Sung Ju Hwang
2017	J	`jnl`	Deep Asymmetric Multi-task Feature Learning. CoRR Haebeom Lee, Eunho Yang, Sung Ju Hwang
2017	J	`jnl`	DropMax: Adaptive Stochastic Softmax. CoRR Haebeom Lee, Juho Lee, Eunho Yang, Sung Ju Hwang
2017	J	`jnl`	Lifelong Learning with Dynamically Expandable Networks. CoRR Jeongtae Lee, Jaehong Yoon, Eunho Yang, Sung Ju Hwang
2017	A*	`conf`	SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization. ICML Juyong Kim, Yookoon Park, Gunhee Kim, Sung Ju Hwang
2017	J	`jnl`	Why Pay More When You Can Pay Less: A Joint Learning Framework for Active Feature Acquisition and Classification. CoRR Hajin Shim, Sung Ju Hwang, Eunho Yang
2016	A*	`conf`	Asymmetric Multi-task Learning based on Task Relatedness and Confidence. ICML Giwoong Lee, Eunho Yang, Sung Ju Hwang
2016	A*	`conf`	Exploiting View-Specific Appearance Similarities Across Classes for Zero-Shot Pose Prediction: A Metric Learning Approach. AAAI Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, Leonid Sigal
2016	A*	`conf`	Knowledge Transfer with Interactive Learning of Semantic Relationships. AAAI Jonghyun Choi, Sung Ju Hwang, Leonid Sigal, Larry S. Davis
2016	—	`conf`	Taxonomy-Regularized Semantic Deep Convolutional Neural Networks. ECCV (2) Wonjoon Goo, Juyong Kim, Gunhee Kim, Sung Ju Hwang
2015	—	`conf`	A Unified Semantic Embedding: Relating Taxonomies and Attributes. AAAI Spring Symposia Sung Ju Hwang, Leonid Sigal
2015	A*	`conf`	Expanding object detector's Horizon: Incremental learning framework for object detection in videos. CVPR Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, Leonid Sigal
2015	J	`jnl`	Hierarchical Maximum-Margin Clustering. CoRR Guang-Tong Zhou, Sung Ju Hwang, Mark Schmidt, Leonid Sigal, Greg Mori
2014	—	`conf`	A Unified Semantic Embedding: Relating Taxonomies and Attributes. NIPS Sung Ju Hwang, Leonid Sigal
2014	J	`jnl`	A Unified Semantic Embedding: Relating Taxonomies and Attributes. CoRR Sung Ju Hwang, Leonid Sigal
2013	—	`conf`	Analogy-preserving Semantic Embedding for Visual Object Categorization. ICML (3) Sung Ju Hwang, Kristen Grauman, Fei Sha
2012	—	`conf`	Context-Based Automatic Local Image Enhancement. ECCV (1) Sung Ju Hwang, Ashish Kapoor, Sing Bing Kang
2012	J	`jnl`	Learning the Relative Importance of Objects from Tagged Images for Retrieval and Cross-Modal Search. Int. J. Comput. Vis. Sung Ju Hwang, Kristen Grauman
2012	J	`jnl`	Reading between the Lines: Object Localization Using Implicit Cues from Image Tags. IEEE Trans. Pattern Anal. Mach. Intell. Sung Ju Hwang, Kristen Grauman
2012	—	`conf`	Semantic Kernel Forests from Multiple Taxonomies. NIPS Sung Ju Hwang, Kristen Grauman, Fei Sha
2011	—	`conf`	Learning a Tree of Metrics with Disjoint Visual Features. NIPS Sung Ju Hwang, Kristen Grauman, Fei Sha
2011	A*	`conf`	Sharing features between objects and their attributes. CVPR Sung Ju Hwang, Fei Sha, Kristen Grauman
2010	A	`conf`	Accounting for the Relative Importance of Objects in Image Retrieval. BMVC Sung Ju Hwang, Kristen Grauman
2010	A*	`conf`	Reading between the lines: Object localization using implicit cues from image tags. CVPR Sung Ju Hwang, Kristen Grauman