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College of Engineering(공과대학)Kim Jaechul Graduate School of AI(김재철AI대학원)

AI-Conference Papers(학술대회논문)

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Collection's Items (Sorted by Submit Date in Descending order): 421 to 440 of 605

421
Neural complexity measures

Lee, Yoonho; Lee, Juho; Hwang, Sung Ju; Yang, Eunho; Choi, Seungjin, Advances in Neural Information Processing Systems, NeurIPS 2020, Neural Information Processing Systems, 2020-12-10

422
Bootstrapping neural processes

Lee, Juho; Lee, Yoonho; Kim, Jungtaek; Yang, Eunho; Hwang, Sung Ju; Teh, Yee Whye, Advances in Neural Information Processing Systems, NeurIPS 2020, Neural Information Processing Systems, 2020-12-11

423
Regret in Online Recommendation Systems

Ariu, Kaito; Ryu, Narae; Yun, Seyoung; Proutiere, Alexandre, 34th Conference on Neural Information Processing Systems, NeurIPS 2020, The Neural Information Processing Systems, 2020-12-08

424
A Single Multi-Task Deep Neural Network with Post-Processing for Object Detection with Reasoning and Robotic Grasp Detection

Park, Dongwon; Seo, Yonghyeok; Shin, Dongju; Choi, Jaesik; Chun, Se Young, IEEE International Conference on Robotics and Automation, ICRA 2020, pp.7300 - 7306, Institute of Electrical and Electronics Engineers Inc., 2020-05-31

425
Segmenting 2K-Videos at 36.5 FPS with 24.3 GFLOPs: Accurate and Lightweight Realtime Semantic Segmentation Network

Oh, Dokwan; Ji, Daehyun; Jang, Cheolhun; Hyunv, Yoonsuk; Bae, Hong S.; Hwang, Sungju, IEEE International Conference on Robotics and Automation, ICRA 2020, pp.3153 - 3160, Institute of Electrical and Electronics Engineers Inc., 2020-05-31

426
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning

Lee, Kimin; SEO, YOUNGGYO; Lee, Seunghyun; Shin, Jinwoo, Thirty-seventh International Conference on Machine Learning, ICML 2020, pp.5713 - 5722, International Conference on Machine Learning, 2020-07-15

427
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning

Lee, Kimin; Lee, Kibok; Shin, Jinwoo; Lee, Honglak, Eighth International Conference on Learning Representations, ICLR 2020, International Conference on Learning Representations, 2020-04-27

428
Consistency Regularization for Certified Robustness of Smoothed Classifiers

Jeong, Jongheon; Shin, Jinwoo, 34th Conference on Neural Information Processing Systems (NeurIPS) 2020, NeurIPS committee, 2020-12-07

429
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning

Seo, Younggyo; Lee, Kimin; Clavera, Ignasi; Kurutach, Thanard; Shin, Jinwoo; Abbeel, Pieter, 34th Conference on Neural Information Processing Systems (NeurIPS) 2020, Neural Information Processing Systems, 2020-12-07

430
Guiding Deep Molecular Optimization with Genetic Exploration

Ahn, Sungsoo; Kim, Junsu; Lee, Hankook; Shin, Jinwoo, 34th Conference on Neural Information Processing Systems (NeurIPS) 2020, Neural Information Processing Systems, 2020-12-07

431
Learning Bounds for Risk-sensitive Learning

Lee, Jaeho; Park, Sejun; Shin, Jinwoo, 34th Conference on Neural Information Processing Systems (NeurIPS) 2020, Neural Information Processing Systems, 2020-12-07

432
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning

Kim, Jaehyung; Hur, Youngbum; Park, Sejun; Yang, Eunho; Hwang, Sung Ju; Shin, Jinwoo, 34th Conference on Neural Information Processing Systems (NeurIPS) 2020, Neural Information Processing Systems, 2020-12-07

433
Regularizing Class-wise Predictions via Self-knowledge Distillation

Yun, Sukmin; Park, Jongjin; Lee, Kimin; Shin, Jinwoo, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, IEEE Computer Society, 2020-06-16

434
Variational Interaction Information Maximization for Cross-domain Disentanglement

Hwang, Hyeongjoo; Kim, Geon-Hyeong; Hong, Seunghoon; Kim, Kee-Eung, Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020), Neural information processing systems foundation, 2020-12-07

435
Tree-guided MCMC inference for normalized random measure mixture models

Lee, Juho; Choi, Seungjin, Advances in Neural Information Processing Systems (NIPS 2015), Neural Information Processing Systems Foundation, 2015-12-10

436
Finite-dimensional BFRY priors and variational Bayesian inference for power law models

Lee, Juho; James, Lancelot F.; Choi, Seungjin, Advances in Neural Information Processing Systems (NIPS 2016), Neural Information Processing Systems Foundation, 2016-12-07

437
Bayesian inference on random simple graphs with power law degree distributions

Lee, Juho; Heakulani, Creighton; Ghahramani, Z; James, Lancelot F.; Choi, Seungjin, International Conference on Machine Learning(ICML 2017), International Machine Learning Society (IMLS), 2017-08-08

438
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure

Lee, Juho; James, Lancelot F; Choi, Seungjin; Caron, François, Artificial Intelligence & Statistics 2019(AISTATS 2019), Artificial Intelligence & Statistics, 2019-04-17

439
Beyond the Chinese restaurant and Pitman-Yor processes: statistical models with double power-law behavior

Ayed, Fadhel; Lee, Juho; Caron, François, International Conference on Machine Learning(ICML 2019), International Conference on Machine Learning, 2019-06-12

440
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks

Lee, Juho; Lee, Yoonho; Kim, Jungtaek; Kosiorek, Adam R.; Choi, Seungjin; Teh, Yee Whye, International Conference on Machine Learning, pp.3744 - 3753, International Conference on Machine Learning, 2019-06-11

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