AI-Conference Papers(학술대회논문)
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1
OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation
Ye, Jong Chul; Kim, kwanyoung; Oh, Yujin, The 18th European Conference on Computer Vision, ECCV 2024, 2024-10
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Fine-tuning Pre-trained Models for Robustness Under Noisy Labels
Sumyeong Ahn; Sihyeon Kim; Jongwoo Ko; Yun, Seyoung, International Joint Conference on Artificial Intelligence, 2024-08-09
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Synergistic Integration of Coordinate Network and Tensorial Feature for Improving NeRFs from Sparse Inputs
Kim, Mingyu; Kim Jun-Seong; Yun, Se-Young; Jin-Hwa Kim, International Conference on Machine Learning, 2024-07-24
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DistiLLM: Towards Streamlined Distillation for Large Language Models
Jongwoo Ko; Sungnyun Kim; Tianyi Chen; Yun, Seyoung, The Forty-first International Conference on Machine Learning, 2024-07-23
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FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
LEE, GIHUN; Minchan Jeong; SangMook Kim; Jaehoon Oh; Yun, Seyoung, The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024, 2024-06-20
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Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models
Yujin Kim; Jaehong Yoon; Seonghyeon Ye; Sangmin Bae; Namgyu Ho; Sung Ju Hwang; Yun, Seyoung, 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2024-06-17
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Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models
Ye, Jong Chul; KWON, GIHYUN; Simon Jenni; Dingzeyu Li; Joon-Young Lee; Fabian Caba Heilbron, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, 2024-06
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Self-supervised debiasing using low rank regularization
Ye, Jong Chul; PARK, GEONYEONG; Jung, Chanyong; Sangmin Lee; Lee, Sang Wan, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, 2024-06
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VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models
Ye, Jong Chul; Hyeonho Jeong; PARK, GEONYEONG, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, 2024-06
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Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing
Ye, Jong Chul; Hyelin Nam; KWON, GIHYUN; PARK, GEONYEONG, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, 2024-06
Collection's Items (Sorted by Submit Date in Descending order): 261 to 280 of 605
| Evidence-based factual error correction Thorne, James; Vlachos, Andreas, Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL-IJCNLP 2021, pp.3298 - 3309, Association for Computational Linguistics (ACL), 2021-08-03 |
| From natural language processing to neural databases Thorne, James; Yazdani, Majid; Saeidi, Marzieh; Silvestri, Fabrizio; Riedel, Sebastian; Halevy, Alon, 47th International Conference on Very Large Data Bases, pp.1033 - 1039, VLDB Endowment, 2021-08-16 |
| The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared Task Aly, Rami; Guo, Zhijiang; Schlichtkrull, Michael; Thorne, James; Vlachos, Andreas; Christodoulopoulos, Christos; Cocarascu, Oana; et al, 4th Workshop on Fact Extraction and VERification, FEVER 2021, pp.1 - 13, Association for Computational Linguistics (ACL), 2021-11-10 |
| FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information Aly, Rami; Guo, Zhijiang; Schlichtkrull, Michael; Thorne, James; Vlachos, Andreas; Christodoulopoulos, Christos; Cocarascu, Oana; et al, 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Neural Information Processing Systems foundation, 2021-12-07 |
| Fake news detection using stacked ensemble of classifiers Thorne, James; Chen, Mingjie; Myrianthous, Giorgos; Pu, Jiashu; Wang, Xiaoxuan; Vlachos, Andreas, EMNLP 2017 2nd Workshop on Natural Language Processing Meets Journal., NLPmJ 2017, pp.80 - 83, Association for Computational Linguistics (ACL), 2017-09-07 |
| FEVER: A large-scale dataset for fact extraction and verification Thorne, James; Vlachos, Andreas; Christodoulopoulos, Christos; Mittal, Arpit, 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2018, pp.809 - 819, Association for Computational Linguistics (ACL), 2018-06-02 |
| Automated fact checking: Task formulations, methods and future directions Thorne, James; Vlachos, Andreas, 27th International Conference on Computational Linguistics, COLING 2018, pp.3346 - 3359, Association for Computational Linguistics (ACL), 2018-08-20 |
| Generating token-level explanations for natural language inference Thorne, James; Vlachos, Andreas; Christodoulopoulos, Christos; Mittal, Arpit, 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2019, pp.963 - 969, Association for Computational Linguistics (ACL), 2019-06-05 |
| Evaluating adversarial attacks against multiple fact verification systems Thorne, James; Vlachos, Andreas; Christodoulopoulos, Christos; Mittal, Arpit, 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, pp.2944 - 2953, Association for Computational Linguistics, 2019-11-05 |
| Elastic weight consolidation for better bias inoculation Thorne, James; Vlachos, Andreas, 16th Conference of the European Chapter of the Associationfor Computational Linguistics, EACL 2021, pp.957 - 964, Association for Computational Linguistics (ACL), 2021-04-20 |
| An extensible framework for verification of numerical claims Thorne, James; Vlachos, Andreas, Software Demonstrations at the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017, pp.37 - 40, Association for Computational Linguistics, 2017-04-05 |
| Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks Oh, Jaehoon; Ko, Jongwoo; Yun, Seyoung, Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, pp.6747 - 6754, EMNLP, 2022-12-09 |
| Graph Self-supervised Learning with Accurate Discrepancy Learning Kim, Dongki; Baek, Jinheon; Hwang, Sung Ju, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, Neural Information Processing Systems, 2022-11 |
| FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning Kim, Sangmook; Shin, Wonyoung; Jang, Soohyuk; Song, Hwanjun; Yun, Seyoung, 31st ACM International Conference on Information and Knowledge Management, CIKM 2022, pp.972 - 981, ACM, 2022-10-18 |
| ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning Oh, Jae Hoon; Kim, Sungnyun; Ho, Namgyu; Kim, Jin-Hwa; Song, Hwanjun; Yun, Seyoung, 31st ACM International Conference on Information and Knowledge Management, CIKM 2022, pp.4359 - 4363, ACM, 2022-10-19 |
| MPViT: Multi-Path Vision Transformer for Dense Prediction Lee, Youngwan; Kim, Jonghee; Willette, Jeffrey Ryan; Hwang, Sung Ju, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, pp.7277 - 7286, IEEE Computer Society, 2022-06-21 |
| Skill-based Meta-Reinforcement Learning Nam, Taewook; Sun, Shao-Hua; Pertsch, Karl; Hwang, Sung Ju; Lim, Joseph Jaewhan, 10th International Conference on Learning Representations, ICLR 2022, International Conference on Learning Representations, 2022-04-25 |
| Neural Processes with Stochastic Attention: Paying More Attention to the Context Dataset Kim, Mingyu; Kyeongryeol Go; Yun, Seyoung, 10th International Conference on Learning Representations, ICLR 2022, International Conference on Learning Representations (ICLR), 2022-04-26 |
| FedBABU: Toward Enhanced Representation for Federated Image Classification OH, JAE HOON; Kim, Sangmook; Yun, Seyoung, 10th International Conference on Learning Representations, ICLR 2022, International Conference on Learning Representations (ICLR), 2022-04-26 |
| Improving ensemble distillation with weight averaging and diversifying perturbation Nam, Giung; Lee, Hyungi; Heo, Byeongho; Lee, Juho, The 39th International Conference on Machine Learning, ICML 2022, International Conference on Machine Learning, 2022-07-17 |
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