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| TRAINABILITY OF ReLU NETWORKS AND DATA-DEPENDENT INITIALIZATION Shin, Yeonjong; Karniadakis, George Em, Journal of Machine Learning for Modeling and Computing, v.1, no.1, pp.39 - 74, 2020 |
| Training algorithm with incomplete data for feed-forward neural networks Yoon, SY; Lee, Soo-Young, NEURAL PROCESSING LETTERS, v.10, no.3, pp.171 - 179, 1999-12 |
| Training and exploration using agent relationship for multi-agent reinforcement learninglink Ryu, Heechang; Shin, Hayong; 신하용; Park, Jinkyoo; et al, 2021 |
| Training Auxiliary Prototypical Classifiers for Explainable Anomaly Detection in Medical Image Segmentation Cho, Wonwoo; Park, Jeonghoon; Choo, Jaegul, 23rd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2023, pp.2623 - 2632, Institute of Electrical and Electronics Engineers Inc., 2023-01 |
| Training Beam Sequence Design for Millimeter-Wave MIMO Systems: A POMDP Framework Seo, Junyeong; Sung, Young-Chul; Lee, Gilwon; Kim, Donggun, IEEE TRANSACTIONS ON SIGNAL PROCESSING, v.64, no.5, pp.1228 - 1242, 2016-03 |
| Training Cartoonization Network without Cartoon Kim, Doyeon; Lee, Dongyeun; Joo, Donggyu; Kim, Junmo, 2023 IEEE International Conference on Image Processing (ICIP), IEEE, 2023-10-08 |
| Training CNNs with Selective Allocation of Channels Jeong, Jongheon; Shin, Jinwoo, 36th International Conference on Machine Learning (ICML), ICML committee, 2019-06-12 |
| Training Confidence-Calibrated Classifiers for Detecting Out-of-Distribution Samples Lee, Kimin; Lee, Kibok; Lee, Honglak; Shin, Jinwoo, 6th International Conference on Learning Representations, ICLR 2018, 6th International Conference on Learning Representations, ICLR 2018, 2018-05-01 |
| Training debiased subnetworks with contrastive weight pruning Park, Geon Yeong; Lee, Sangmin; Lee, Sang Wan; Ye, Jong Chul, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE COMPUTER SOC, 2023-06 |
| Training Designs for Estimation of Spatially Correlated Fading Channels in MIMO Amplify-and-Forward Two-Way Multi-Relay Networks Kang, Jae-Mo; Kim, Hyung-Myung, IEEE COMMUNICATIONS LETTERS, v.20, no.4, pp.772 - 775, 2016-04 |
| Training encoder-attention through fully-connected CRFs for efficient end-to-end lane detection model = 효율적인 엔드 투 엔드 차선 인식 모델을 위한 완전 연결된 조건부 랜덤필드를 통한 엔코더 어텐션 학습link Lee, Byung-Kwan; Kim, Kyung-Soo; et al, 한국과학기술원, 2020 |
| Training hidden Markov models by hybrid simulated annealing for visual speech recognition Lee J.-S.; Park, Cheol Hoon, 2006 IEEE International Conference on Systems, Man and Cybernetics, pp.198 - 202, 123, 2006-10-08 |
| Training Multi-Exit Architectures via Block-Dependent Losses for Anytime Inference Han, DongJun; Park, JungWuk; Ham, Seokil; Lee, Namjin; Moon, Jaekyun, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022, IEEE Computer Society, 2022-06-20 |
| Training Neural Network Controller Using Modified Genetic Algorithm Jeong, I.K.; Lee, Ju-Jang, 1995 Joint Conference for Control & Measurement 대한전자공학회 학술발표회 논문집 (제어계측연구회), pp.149 - 154, The Korean Institute of Electrical Engineers, 1995-04 |
| Training of Feature Extractor via New Cluster Validities for Adaptive Facial Expression Recognition Bien, Zeung nam, International Symposium on Advanced Intelligent Systems (ISIS 2005), 2005 |
| Training of Feature Extractor via New Cluster Validities for Adaptive Facial Expression Recognition Lee, Sang Wan; Kim, Dae-Jin; Kim, Yong Soo; Bien, Zeungnam, 6th International Symposium on Advanced Intelligent Systems (ISIS 2005), pp.542 - 548, IFSA, IEEE, 2005-09 |
| Training of feature extractor via new cluster validity - Application to adaptive facial expression recognition Lee, Sang Wan; Kim, DJ; Kim, YS; Bien, Zeung nam, KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 4, PROCEEDINGS Book Series: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, v.3684, pp.542 - 548, 2005-08 |
| Training of feature extractor via new cluster validity application to adaptive facial expression recognition Lee, Sang Wan; Kim, Dae-Jin; Kim, Yong Soo; Bien, Zeungnam, 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005, pp.542 - 548, KES, 2005-09 |
| Training of Hidden Markov Parameters using Mutual Information and Its Application to Speech Recognition N.S.Kim; C.K.Un, 한국음향학회지, v.9, no.5, 1990 |
| Training of neural networks for detecting manipulations in digital images = 이미지 조작 탐지를 위한 뉴럴 네트워크 학습 방법link Yu, In Jae; Lee, Heung Kyu; et al, 한국과학기술원, 2021 |
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