AI-Conference Papers(학술대회논문)

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Collection's Items (Sorted by Submit Date in Descending order): 21 to 40 of 605

21
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, ICML, 2024-07-24

22
Fine-tuning Pre-trained Models for Robustness Under Noisy Labels

Sumyeong Ahn; Sihyeon Kim; Jongwoo Ko; Yun, Seyoung, International Joint Conference on Artificial Intelligence, IJCAI, 2024-08-09

23
Weakly Supervised Semantic Segmentation for Driving Scenes

김동섭; 이승호; 최준석; Hyunjung Shim, The 38th Annual AAAI Conference on Artificial Intelligence, Advancement of Artificial Intelligence (AAAI), 2024-02-22

24
TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions

Kwon, Taehyung; Ko, Jihoon; Jung, Jinhong; Shin, Kijung, 2023 IEEE International Conference on Data Mining (ICDM), IEEE, 2023-12-03

25
Spear and shield: adversarial attacks and defense methods for model-based link prediction on continuous-time dynamic graphs

Lee, Dongjin; Lee, Juho; Shin, Kijung, The 38th Annual AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2024-02-22

26
VITA: ‘Carefully Chosen and Weighted Less’ Is Better in Medication Recommendation

Kim, Taeri; Heo, Jiho; Kim, Hongil; Shin, Kijung; Kim, Sang-Wook, The 38th Annual AAAI Conference on Artificial Intelligence, pp.8600 - 8607, Association for the Advancement of Artificial Intelligence (AAAI), 2024-02-23

27
TEDDY: Trimming Edges with Degree-based Discrimination strategY

Seo, Hyunjin; Yun, Jihun; Yang, Eunho, The Twelfth International Conference on Learning Representations, ICLR 2024, International Conference on Learning Representations (ICLR), 2024-05-09

28
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models

Fan, Ying; Olivia Watkins; Yuqing Du; Hao Liu; Moonkyung Ryu; Craig Boutilier; Pieter Abbeel; et al, 37th Conference on Neural Information Processing Systems (NeurIPS), Neural Information Processing Systems Foundation, 2023-12

29
Linear attention is (maybe) all you need (to understand Transformer optimization)

Ahn, Kwangjun; Cheng, Xiang; Song, Minhak; Yun, Chulhee; Jadbabaie, Ali; Sra, Suvrit, 12th International Conference on Learning Representations, ICLR 2024, International Conference on Learning Representations (ICLR), 2024-05-07

30
Trajectory Alignment: Understanding the Edge of Stability Phenomenon via Bifurcation Theory

Song, Minhak; Yun, Chulhee, 37th Annual Conference on Neural Information Processing Systems, Neural Information Processing Systems, 2023-12-13

31
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning

Lee, Hojoon; Cho, Hanseul; Kim, Hyunseung; Gwak, Daehoon; Kim, Joonkee; Choo, Jaegul; Yun, Se-Young; et al, 37th Annual Conference on Neural Information Processing Systems, Neural Information Processing Systems, 2023-12-13

32
Practical Sharpness-Aware Minimization Cannot Converge All the Way to Optima

Si, Dongkuk; Yun, Chulhee, 37th Annual Conference on Neural Information Processing Systems, Neural Information Processing Systems, 2023-12-12

33
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint

Lee, Junghyun; Cho, Hanseul; Yun, Se-Young; Yun, Chulhee, 37th Annual Conference on Neural Information Processing Systems, Neural Information Processing Systems, 2023-12-12

34
Dynamic Control for On-Demand Interference-Managed WLAN Infrastructures

Kim, Seokhyun; Lee, Kimin; Yeonkeun Kim; Jinwoo Shin; Seungwon Shin; Song Chong, IEEE/ACM Transactions on Networking, IEEE Communications Society, 2020-02

35
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback

Wang, Xiaofei; Lee, Kimin; Kourosh Hakhamaneshi; Pieter Abbeel; Michael Laskin, 5th Conference on Robot Learning, CoRL 2021, ML Research Press, 2021-11

36
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings

Chen, Lili; Lee, Kimin; Aravind Srinivas; Pieter Abbeel, 35th Conference on Neural Information Processing Systems (NeurIPS), Neural Information Processing Systems Foundation, 2021-12

37
URLB: Unsupervised Reinforcement Learning Benchmark

Laskin, Michael; Denis Yarats; Hao Liu; Lee, Kimin; Albert Zhan; Kevin Lu; Catherine Cang; et al, 35th Conference on Neural Information Processing Systems (NeurIPS), Neural Information Processing Systems Foundation, 2021-12

38
B-Pref: Benchmarking Preference-Based Reinforcement Learning

Lee, Kimin; Laura Smith; Anca Dragan; Pieter Abbeel, 35th Conference on Neural Information Processing Systems (NeurIPS), Neural Information Processing Systems Foundation, 2021-12

39
Decoupling Representation Learning from Reinforcement Learning

Stooke, Adam; Lee, Kimin; Pieter Abbeel; Michael Laskin, 38th International Conference on Machine Learning, ICML 2021, International Machine Learning Society (IMLS), 2021-07

40
SUNRISE: A Simple Unified Frameworkfor Ensemble Learning in Deep Reinforcement Learning

Lee, Kimin; Michael Laskin; Aravind Srinivas; Pieter Abbeel, 38th International Conference on Machine Learning, ICML 2021, International Machine Learning Society (IMLS), 2021-07

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