2024
[ECCV] Finding NeMo: Negative-mined Mosaic Augmentation for Referring Image Segmentation
Seongsu Ha, Chaeyun Kim, Donghwa Kim, Junho Lee, Sangho Lee, and Joonseok Lee
Proceedings of the 18th European Conference on Computer Vision, pp. 121–137, Malmö, Sweden, December, 2024
DOI: 10.1007/978-3-031-72890-7_8
[JOK] LLMEE: 시각적 Token Attribution을 통한 대규모 언어 모델의 설명 가능성 및 평가 강화
김윤수, 김민찬, 최진우, 황영석, and 박현우
Journal of KIISE, Vol.51, no.12, pp. 1104-1114, December, 2024
Link
[NeurIPS] Complete Graphical Criterion for Sequential Covariate Adjustment in Causal Inference
Yonghan Jung, Min Woo Park, and Sanghack Lee
Proceedings of the 38th Conference on Neural Information Processing Systems, pages 19813-19838, Vancouver, BC, Canada, December, 2024
Link
[NeurIPS] Improved Regret of Linear Ensemble Sampling
Harin Lee and Min-hwan Oh
Proceedings of the 38th Conference on Neural Information Processing Systems, pages 92803-92831, Vancouver, BC, Canada, December, 2024
DOI: 10.48550/arXiv.2411.03932
[NeurIPS] Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit
Seok-Jin Kim and Min-hwan Oh
Proceedings of the 38th Conference on Neural Information Processing Systems, pages 77525-77592, Vancouver, BC, Canada, December, 2024
DOI: 10.48550/arXiv.2411.12878
[NeurIPS] Nearly Minimax Optimal Regret for Multinomial Logistic Bandit
Joongkyu Lee and Min-hwan Oh
Proceedings of the 38th Conference on Neural Information Processing Systems, Vancouver, BC, Canada, December, 2024
DOI: 10.48550/arXiv.2405.09831
[NeurIPS] Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation
Wooseong Cho, Taehyun Hwang, Joongkyu Lee, and Min-hwan Oh
Proceedings of the 38th Conference on Neural Information Processing Systems, pages 76643-76720, Vancouver, BC, Canada, December, 2024
DOI: 10.48550/arXiv.2405.20165
[NeurIPS] Self-Guided Masked Autoencoder
Jeongwoo Shin, Inseo Lee, Junho Lee, and Joonseok Lee
Proceedings of the 38th Conference on Neural Information Processing Systems, pages 58929-58954, Vancouver, BC, Canada, December, 2024
Link
[SIGIR-AP] AU-RAG: Agent-based Universal Retrieval Augmented Generation
Jisoo Jang and Wen-Syan Li
Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, pages 2-11, Tokyo, Japan, December, 2024
DOI: 10.1145/3673791.3698416
[TACL] Toward Robust RALMs: Revealing the Impact of Imperfect Retrieval on Retrieval-Augmented Language Models
Seong-Il Park and Jay-Yoon Lee
Transactions of the Association for Computational Linguistics, Vol. 12, pages 1686–1702, December, 2024
DOI: 10.1162/tacl_a_00724
[한국정보과학회] Analysis of Large Language Model Performance According to Korean-English Training Data Ratio in Continual Learning
김진표, 조경제, 박찬우, 박종원, and 이재진
한국정보과학회 2024년 한국소프트웨어종합학술대회 논문집, December, 2024
[BMVC] A Revisit to the Decoder for Camouflaged Object Detection
Seung Woo Ko, Joopyo Hong, Suyoung Kim, Seungjai Bang, Sungzoon Cho, Nojun Kwak, Hyung-Sin Kim, and Joonseok Lee
Proceedings of the 35th British Machine Vision Conference, Glasgow, UK, November, 2024
DOI: 10.48550/arXiv.2503.14035
[BMVC] Scalable Frame Sampling for Video Classification: A Semi-Optimal Policy Approach with Reduced Search Space
Junho Lee, Jeongwoo Shin, Seung Woo Ko, Seongsu Ha, and Joonseok Lee
Proceedings of the 35th British Machine Vision Conference, Glasgow, UK, November, 2024
DOI: 10.48550/arXiv.2409.05260
[EMNLP] Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval
Jonghyun Song, Cheyon Jin, Wenlong Zhao, and Jay-Yoon Lee
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 22255–22269, Miami, Florida, USA, November, 2024
DOI: 10.18653/v1/2024.emnlp-main.1242
[EMNLP] Generalizing Clinical De-identification Models by Privacy-safe Data Augmentation using GPT-4
Woojin Kim, Sungeun Hahm, and Jaejin Lee
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 21204–21218, Miami, Florida, USA, November, 2024
[EMNLP] Model-based Preference Optimization in Abstractive Summarization without Human Feedback
Jaepill Choi, Kyubyung Chae, Jiwoo Song, Yohan Jo, and Taesup Kim
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 18837-18851, Miami, Florida, USA, November, 2024
DOI: 10.18653/v1/2024.emnlp-main.1048
[EMNLP] RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation
Kiseung Kim and Jay-Yoon Lee
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 22149–22161, Miami, Florida, USA, November, 2024
DOI: 10.18653/v1/2024.emnlp-main.1236
[IEEE Access] Toward Generalized Visualization System for Various CNN Models: Module and Layer View
Yunsu Kim, Junha Chun, Sungwook Son, and Hyunwoo Park
IEEE Access, Vol. 12, pages 158311-158321, October, 2024
DOI: 10.1109/ACCESS.2024.3480791
[Sci Rep] Piano performance evaluation dataset with multilevel perceptual features
Jisoo Park, Jongho Kim, Jeong Mi Park, Ahyeon Choi, Wen-Syan Li, Jonghwa Park, and Seung-won Hwang
Scientific Reports, Vol. 14, 23002, October, 2024
DOI: 10.1038/s41598-024-73810-0
[UbiComp] MIRROR: Towards Generalizable On-Device Video Virtual Try-On for Mobile Shopping
Dongsig Kang, Eunsu Baek, Sungwook Son, Youngki Lee, Taesik Gong, and Hyung-Sin Kim
Proceedings of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Vol. 7, pp 1-27, Melbourne, Australia, October, 2024
DOI: 10.1145/3631420
[한국인공지능학회] A Unified Formulation and Analysis of Learning Algorithms with Output Constraints
Mooho Song and Jay-Yoon Lee
2024 한국인공지능학회 하계학술대회, August, 2024
[한국인공지능학회] Case-Based Reasoning Approach for Solving Financial Question Answering
Yikyung Kim and Jay-Yoon Lee
2024 한국인공지능학회 하계학술대회, August, 2024
[한국인공지능학회] Generalizing Table Reasoning Capability Under Domain Shift
Hanjun Cho, Hanseong Kim, and Jay-Yoon Lee
2024 한국인공지능학회 하계학술대회, August, 2024
[한국인공지능학회] Toward Robust RALMs: Revealing the Impact of Imperfect Retrieval on Retrieval-Augmented Language Models
Seong-Il Park and Jay-Yoon Lee
2024 한국인공지능학회 하계학술대회, August, 2024
[ICML] Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
Jaehoon Hahm, Junho Lee, Sunghyun Kim, and Joonseok Lee
Proceedings of the 41st International Conference on Machine Learning, pages 17224-17245, Vienna, Austria, July, 2024
DOI: 10.48550/arXiv.2407.11451
[ICML] On Positivity Condition for Causal Inference
Inwoo Hwang, Yesong Choe, Yeahoon Kwon, and Sanghack Lee
Proceedings of the 41st International Conference on Machine Learning, pages 20818-20841, Vienna, Austria, July, 2024
Link
[SIGIR] Content-based Graph Reconstruction for Cold-start item recommendation
Jinri Kim, Eungi Kim, Kwangeun Yeo, Yujin Jeon, Chanwoo Kim, Sewon Lee, and Joonseok Lee
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 1263-1273, Washington DC, USA, July, 2024
DOI: 10.1145/3626772.3657801
[UAI] Causal Discovery with Deductive Reasoning: One Less Problem
Jonghwan Kim, Inwoo Hwang, and Sanghack Lee
Proceedings of the 2024 Fortieth Conference on Uncertainty in Artificial Intelligence, pages 1999-2017, Barcelona, Spain, July, 2024
Link
[CVPR] Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains
Eunsu Baek, Keondo Park, Ji-yoon Kim, and Hyung-Sin Kim
Proceedings of the 40th IEEE Conference on Computer Vision and Pattern Recognition, pages 22294-22303, Seattle, Washington, USA, June, 2024
DOI: 10.1109/CVPR52733.2024.02104
[NAACL] Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information
Kyubyung Chae, Jaepill Choi, Yohan Jo, and Taesup Kim
Findings of the Association for Computational Linguistics: NAACL 2024, pages 1809–1820, Mexico City, Mexico, June, 2024
DOI: 10.18653/v1/2024.findings-naacl.117
[arXiv] Locate&Edit: Energy-based Text Editing for Efficient, Flexible, and Faithful Controlled Text Generation
Hye Ryung Son and Jay-Yoon Lee
June, 2024
arXiv: 2407.00740
[한국정보과학회] Contrastive Learning Framework for Session-Based Recommendation
손영준 and 이재진
한국정보과학회 2024년 한국컴퓨터종합학술대회 논문집, June, 2024
[한국정보과학회] QAT-Clip: Transformer 기반 언어 모델 양자화를 위한 Fine-tuning 중 이상치 제거
석지헌, 임상수, 최동훈, 조경제, and 이재진
한국정보과학회 2024년 한국컴퓨터종합학술대회 논문집, June, 2024
[한국정보과학회] 사전 훈련 말뭉치에 따른 언어 모델의 성능 및 영향 분석
Yujin Jeong, Jaehwan Lee, Chanwoo Park, Donghun Choi, and Jaejin Lee
한국정보과학회 2024 한국컴퓨터종합학술대회 논문집, pages 996-998, June, 2024
Link
[AISTATS] Towards a Complete Benchmark on Video Moment Localization
Jinyeong Chae, Donghwa Kim, Kwanseok Kim, Doyeon Lee, Sangho Lee, Seongsu Ha, Jonghwan Mun, Wooyoung Kang, Byungseok Roh, and Joonseok Lee
Proceedings of the 27th International Conference on Artificial Intelligence and Statistics, pages 4168-4176, Valencia, Spain, May, 2024
Link
[ICLR] Demystifying Linear MDPs and Novel Dynamics Aggregation Framework
Joongkyu Lee and Min-hwan Oh
Proceedings of the 12th International Conference on Learning Representations, Vienna, Austria, May, 2024
DOI: 10.48550/arXiv.2410.24089
[ICLR] Dictionary Contrastive Forward Learning via Adaptive Label Embeddings
Suhwan Choi, Myeongho Jeon, Yeonjung Hwang, Jeonglyul Oh, Sungjun Lim, Joonseok Lee, and Myungjoo Kang
Proceedings of the 12th International Conference on Learning Representations, Vienna, Austria, May, 2024
Link
[ASPLOS] TCCL: Discovering Better Communication Paths for PCIe GPU Clusters.
Heehoon Kim, Junyeol Ryu, and Jaejin Lee
ASPLOS 2024: Proceedings of the 29th International Conference on Architectural Support for Programming Languages and Operating Systems, Vol. 3, pp. 999-1015, San Diego, USA, April, 2024
DOI: 10.1145/3620666.3651362
[PAKDD] Human-driven Active Verification for Efficient and Trustworthy Graph Classification
Tien-Cuong Bui and Wen-Syan Li
Proceedings of the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 105-116, Taipei, Taiwan, April, 2024
DOI: 10.1007/978-981-97-2242-6_9
[AAAI] Learning Uncertainty-Aware Temporally-Extended Actions
Joongkyu Lee, Seung Joon Park, Yunhao Tang, and Min-hwan Oh
Proceedings of the 38th AAAI Conference on Artificial Intelligence, pages 13391-13399, Vancouver, Canada, March, 2024
DOI: 10.1609/aaai.v38i12.29241
[AAAI] V2Meow: Meowing to the Visual Beat via Video-to-Music Generation
Kun Su, Judith Li, Qingqing Huang, Dima Kuzmin, Joonseok Lee, Chris Donahue, Fei Sha, Aren Jansen, Yu Wang, Mauro Verzetti, and Timo Denk
Proceedings of the 38th AAAI Conference on Artificial Intelligence, pages 4952-4960, Vancouver, Canada, March, 2024
DOI: 10.1609/aaai.v38i5.28299
[FAST] RFUSE: Modernizing Userspace Filesystem Framework through Scalable Kernel-Userspace Communication
Kyu-Jin Cho, Jaewon Choi, Hyungjoon Kwon, and Jin-Soo Kim
Proceedings of the 22nd USENIX Conference on File and Storage Technologies, pages 141-157, Santa Clara, CA, USA, February, 2024
Link
[WACV] Modality-Aware Representation Learning for Zero-shot Sketch-based Image Retrieval
Eunyi Lyou, Doyeon Lee, Jooeun Kim, and Joonseok Lee
Proceedings of the 2024 IEEE/CVF Winter Conference on Applications of Computer Vision, pages 5634-5643, Waikoloa, Hawaii, January, 2024
DOI: 10.1109/WACV57701.2024.00555
[WACV] PoseDiff: Pose-conditioned Diffusion for Sparse View Unbounded Scene Synthesis
Seo Young Lee and Joonseok Lee
Proceedings of the 2024 IEEE/CVF Winter Conference on Applications of Computer Vision, pages 5005-5015, Waikoloa, Hawaii, January, 2024
DOI: 10.1109/WACV57701.2024.00494