Browse by Type Conference
Showing results 50641 to 50660 of 109410
| Learning to Generate Novel Classes for Deep Metric Learning Lee, Kyungmoon; Kim, Sungyeon; Hong, Seunghoon; Kwak, Suha, British Machine Vision Conference (BMVC), 2021, British Machine Vision Conference, 2021-11-22 |
| Learning to Generate Questions by Learning to Recover Answer-containing Sentences Back, Seohyun; Keida, Akhil; Chinthakindi, Sai Chetan; Lee, Haejun; Choo, Jaegul, The 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), Association for Computational Linguistics (ACL), 2021-08-02 |
| Learning to Localize Sound Source in Visual Scenes SENOCAK, Arda; Oh, Tae-Hyun; Kim, Junsik; Yang, Ming-Hsuan; Kweon, In-So, 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.4358 - 4366, IEEE Computer Society and the Computer Vision Foundation (CVF), 2018-06-20 |
| Learning to perturb word embeddings for out-of-distribution QA Lee, Seanie; Kang, Minki; Lee, Juho; Hwang, Sung Ju, The 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), Association for Computational Linguistics (ACL) and Asian Federation of Natural Language Processing (AFNLP), 2021-08-02 |
| Learning to propagate labels: Transductive propagation network for few-shot learning Liu, Yanbin; Lee, Juho; Park, Minseop; Kim, Saehoon; Yang, Eunho; Hwang, Sung Ju; Yang, Yi, 7th International Conference on Learning Representations, ICLR 2019, International Conference on Learning Representations, ICLR, 2019-05-06 |
| Learning to Quantize Deep Networks by Optimizing Quantization Intervals with Task Loss Jung Sang Gil; Son, Cahng Tong; Lee, Seo Hyung; Son, Jin Woo; Kwak, Young Jun; Han, Jae Joon; Hwang, Sung Ju; et al, 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.1 - 10, Conference on Computer Vision and Pattern Recognition(CVPR), 2019-06-16 |
| Learning to reach into the unknown: Selecting initial conditions when reaching in clutter Park, Daehyung; Kapusta, Ariel; Kim, You Keun; Rehg, James M.; Kemp, Charles C., 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2014, pp.630 - 637, IEEE Robotics and Automation Society (RAS), 2014-09 |
| Learning to Recommend Visualizations from Data Qian, Xin; Rossi, Ryan A.; Du, Fan; Kim, Sungchul; Koh, Eunyee; Malik, Sana; Lee, Tak Yeon; et al, 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2021, pp.1359 - 1369, Association for Computing Machinery, 2021-08 |
| Learning to Reproduce Fluctuating Behavioral Sequences Using a Dynamic Neural Network Model with Time-Varying Variance Estimation Mechanism Tani, Jun; Murata, Shingo; Namikawa, J; Arie, H; Sugano, H, The Third Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, pp.1 - 6, IEEE, 2013-08-22 |
| Learning to reproduce stochastic time series using stochastic LSTM Gulshad, Sadaf; Sigmund, Dick; Kim, Jong-Hwan, Neural Networks (IJCNN), 2017 International Joint Conference on, IEEE, 2017-05-14 |
| Learning to Sample with Local and Global Contexts in Experience Replay Buffers Oh, Youngmin; Lee, Kimin; Shin, Jinwoo; Yang, Eunho; Hwang, Sung Ju, The Ninth International Conference on Learning Representations (ICLR), International Conference on Learning Representations (ICLR), 2021-05-04 |
| Learning to Schedule Communication in Multi-agent Reinforcement Learning Kim, Daewoo; Moon, Sangwoo; Hostallero, David; Kang, Wan Ju; Lee, Taeyoung; Son, Kyunghwan; Yi, Yung, ICLR 2019: International Conference on Representation Learning, International Conference on Representation Learning, 2019-05 |
| Learning to Score Economic Development from Satellite Imagery Han, Sungwon; Ahn, Donghyun; Park, Sungwon; Yang, Jeasurk; Lee, Susang; Kim, Jihee; Yang, Hyunjoo; et al, 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2020, pp.2970 - 2979, Association for Computing Machinery, 2020-08-23 |
| Learning to Specialize with Knowledge Distillation for Visual Question Answering Mun, Jonghwan; Lee, Kimin; Shin, Jinwoo; Han, Bohyung, 32nd Conference on Neural Information Processing Systems (NIPS), NEURAL INFORMATION PROCESSING SYSTEMS (NIPS), 2018-12-04 |
| Learning to Super Resolve Intensity Images from Events Mostafavi, Mohammad; Choi, Jonghyun; Yoon, Kuk-Jin, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, pp.2765 - 2773, IEEE/CVF, 2020-06-16 |
| Learning Tonotopically Organized Auditory Feature-map from Speech by an Intermap Pooling Layer in a Deep CNN (only abstract) Hwaran, Lee; GEONMIN, KIM; Kim, Ho-Gyeong; Lee, Soo Young, 15th China-Japan-Korea Joint Workshop on Neurobiology and Neuroinformatics (NBNI2015), Brain Engineering Society of Korea, 2015-12-21 |
| Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network Hong, Seunghoon; Oh, Junhyuk; Lee, Honglak; Han, Bohyung, 29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, pp.3204 - 3212, IEEE Computer Society and the Computer Vision Foundation (CVF), 2016-06-26 |
| Learning value functions with relational state representations for guiding task-and-motion planning Kim, Beomjoon; Shimanuki, Luke, 3rd Conference on Robot Learning, CoRL 2019, Conference on Robot Learning, 2019-10 |
| Learning Visual-to-Audio Mapping with Locally Linear Maps on Manifold Structure (abstract only) Lee, Soo-Young; Oh, Do Kwan, East-Asia Inter-University Workshop on Brain Engineering 2009, 2009 |
| Learning Visual-to-audio Mapping with Locally Linear Maps on Manifold Structure (only abstract) Oh, Do Kwan; Lee, Soo-Young, East-Asia Inter-University Workshop on Brain Engineering (EAW2010), 2010-03 |
Discover
Type
Open Access
Date issued
- 30,917 2020 - 2024
- 100,009 2010 - 2019
- 75,681 2000 - 2009
- 44,727 1990 - 1999
- 14,360 1980 - 1989
- 62 1964 - 1969