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Collection's Items (Sorted by Submit Date in Descending order): 641 to 660 of 3515

641
Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks

Nam, Woo-Jeoung; Gur, Shir; Choi, Jaesik; Wolf, Lior; Lee, Seong-Whan, 34th AAAI Conference on Artificial Intelligence, AAAI 2020, pp.2501 - 2508, AAAI, 2020-02-11

642
An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks

Jeong, Giyoung; Jeong, Haedong; Choi, Jaesik, AAAI Conference on Artificial Intelligence, AAAI-20, pp.4288 - 4295, AAAI, 2020-02-11

643
HetPipe: Enabling large DNN training on (Whimpy) heterogeneous GPU clusters through integration of pipelined model parallelism and data parallelism

Park, Jay H; Yun, Gyeongchan; Yi, Chang M; Nguyen, Nguyen T; Lee, Seungmin; Choi, Jaesik; Noh, Sam H; et al, USENIX Annual Technical Conference, ATC 2020, pp.307 - 321, USENIX Association, 2020-07-16

644
Exploring Unlabeled Faces for Novel Attribute Discovery

Bahng, Hyojin; Chung, Sunghyo; Yoo, Seungjoo; Choo, Jaegul, IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, pp.5820 - 5829, IEEE Computer Society, 2020-06

645
Reference-based sketch image colorization using augmented-self reference and dense semantic correspondence

Lee, Junsoo; Kim, Eungyeup; Lee, Yunsung; Kim, Dongjun; Chang, Jaehyuk; Choo, Jaegul, IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, pp.5800 - 5809, IEEE Computer Society, 2020-06

646
Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks

Choi, Sungha; Kim, Joanne T.; Choo, Jaegul, IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, pp.9370 - 9380, IEEE Computer Society, 2020-06

647
Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix

Han, Insu; Avron, Haim; Shin, Jinwoo, Thirty-seventh International Conference on Machine Learning, ICML 2020, pp.3942 - 3951, International Conference on Machine Learning, 2020-07-15

648
Learning What to Defer for Maximum Independent Sets

Ahn, Sungsoo; SEO, YOUNGGYO; Shin, Jinwoo, Thirty-seventh International Conference on Machine Learning, ICML 2020, pp.122 - 132, International Conference on Machine Learning, 2020-07-15

649
Lookahead: A Far-sighted Alternative of Magnitude-based Pruning

Park, Sejun; Lee, Jaeho; Mo, Sangwoo; Shin, Jinwoo, Eighth International Conference on Learning Representations, ICLR 2020, International Conference on Learning Representations, 2020-04-27

650
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances

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

651
Learning from Failure: De-biasing Classifier from Biased Classifier

Nam, Jun Hyun; Cha, Hyuntak; Ahn, Sungsoo; Lee, Jaeho; Shin, Jinwoo, 34th Conference on Neural Information Processing Systems (NeurIPS) 2020, Neural Information Processing Systems, 2020-12-07

652
Self-supervised Label Augmentation via Input Transformations

Lee, Hankook; Hwang, Sung Ju; Shin, Jinwoo, 37th International Conference on Machine Learning, ICML 2020, ICML 2020 committee, 2020-07-15

653
M2m: Imbalanced Classification via Major-to-minor Translation

Jaehyung, Kim; Jeong, Jongheon; Shin, Jinwoo, IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, IEEE Computer Society, 2020-06-16

654
Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients

Lee, Jongmin; Jeon, Wonseok; Kim, Geon-Hyeong; Kim, Kee-Eung, 34th AAAI Conference on Artificial Intelligence (AAAI 2020), pp.4561 - 4568, Association for the Advancement of Artificial Intelligence, 2020-02-10

655
Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues

Jang, Youngsoo; Lee, Jongmin; Kim, Kee-Eung, 34th AAAI Conference on Artificial Intelligence (AAAI 2020), pp.7994 - 8001, Association for the Advancement of Artificial Intelligence, 2020-02-11

656
Batch Reinforcement Learning with Hyperparameter Gradients

Lee, Jongmin; Lee, Byung-Jun; Vrancx, Peter; Kim, Dongho; Kim, Kee-Eung, The 37th International Conference on Machine Learning (ICML 2020), pp.5681 - 5691, International Conference on Machine Learning, 2020-07-16

657
Reinforcement Learning for Control with Multiple Frequencies

Lee, Jongmin; Lee, Byung-Jun; Kim, Kee-Eung, Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020), Neural information processing systems foundation, 2020-12-10

658
Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs

Kye, Seong Min; Jung, Youngmoon; Lee, Hae Beom; Hwang, Sung Ju; Kim, Hoi-Rin, Interspeech 2020, pp.2982 - 2986, ISCA, 2020-10-28

659
Variational Inference for Sequential Data with Future Likelihood Estimates

Kim, Geon-Hyeong; Jang, Youngsoo; Yang, Hongseok; Kim, Kee-Eung, The 37th International Conference on Machine Learning (ICML 2020), pp.5252 - 5261, ICML Organisation, 2020-07-16

660
Speech Enhancement using Adaptive Mean Median Deviation and EMD Technique

Dubey, Shikha; Singh, Ashish Kumar; Singh, Manoj Kumar, 2019 IEEE International Conference on Signals and Systems, ICSigSys 2019, pp.34 - 39, IEEE, 2019-07

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