RIMS Conference Papers

Recent Items

Collection's Items (Sorted by Submit Date in Descending order): 201 to 220 of 3120

201
Bayesian Hierarchical Clustering with Exponential Family: Small-Variance Asymptotics and Reducibility

Lee, Juhoresearcher; Choi, Seungjin, 18th International Conference on Artificial Intelligence and Statistics (AISTATS), pp.581 - 589, Artificial Intelligence and Statistics, 2015-05-11

202
Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks

Yi, Joonyoung; Lee, Juhyuk; Kim, Kwang Joon; Hwang, Sung Juresearcher; Yang, Eunhoresearcher, Eighth International Conference on Learning Representations, ICLR 2020, International Conference on Learning Representations, 2020-04-27

203
Evolution of Real-world Hypergraphs: Patterns and Models without Oracles

Kook, Yunbum; Ko, Jihoon; Shin, Kijungresearcher, ICDM 2020: 20th IEEE International Conference on Data Mining, pp.272 - 281, IEEE Computer Society, 2020-11-19

204
Analyzing the Role of Model Uncertainty for Electronic Health Records

Dusenberry, Michael W.; Tran, Dustin; Choi, Edwardresearcher; Kemp, Jonas; Nixon, Jeremy; Jerfel, Ghassen; Heller, Katherine; et al, 2020 ACM Conference on Health, Inference, and Learning, CHIL 2020, pp.204 - 213, Association for Computing Machinery, Inc, 2020-04

205
Homotopic approach of free-final-time continuous-low-thrust trajectory optimization

Lee, Jin Seongresearcher; Ahn, Jaemyungresearcher, 2020 AAS/AIAA Astrodynamics Specialist Virtual Lake Tahoe Conference, American Astronautical Society, 2020-08-11

206
Paraphrase diversification using counterfactual debiasing

Park, Sunghyun; Hwang, Seung-Won; Chen, Fuxiang; Choo, Jaegulresearcher; Ha, Jung-Woo; Kim, Sunghun; Yim, Jinyeong, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Annual Conference on Innovative Applications of Artificial Intelligence, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, pp.6883 - 6891, AAAI Press, 2019-01

207
AILA: Attentive Interactive Labeling Assistant for Document Classification through Attention-based Deep Neural Networks

Choi, Minsuk; Park, Cheonbok; Yang, Soyoung; Kim, Yonggyu; Choo, Jaegulresearcher; Hong, Sungsoo, 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019, Association for Computing Machinery, 2019-05

208
Coloring with limited data: Few-shot colorization via memory augmented networks

Yoo, Seungjoo; Bahng, Hyojin; Chung, Sunghyo; Lee, Junsoo; Chang, Jaehyuk; Choo, Jaegulresearcher, 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019, pp.11275 - 11284, IEEE Computer Society, 2019-06

209
Image-to-image translation via group-wise deep whitening-and-coloring transformation

Cho, Wonwoong; Choi, Sungha; Park, David Keetae; Shin, Inkyu; Choo, Jaegulresearcher, 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019, pp.10631 - 10639, IEEE Computer Society, 2019-06

210
SANVis: Visual Analytics for Understanding Self-Attention Networks

Park, Cheonbok; Na, Inyoup; Jo, Yongjang; Shin, Sungbok; Yoo, Jaehyo; Kwon, Bum Chul; Zhao, Jian; et al, 2019 IEEE Visualization Conference, VIS 2019, pp.146 - 150, Institute of Electrical and Electronics Engineers Inc., 2019-10

211
Recommender system using sequential and global preference via attention mechanism and topic modeling

Kang, Kyeongpil; Park, Junwoo; Kim, Wooyoung; Choe, Hojung; Choo, Jaegulresearcher, 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, pp.1543 - 1552, Association for Computing Machinery, 2019-11

212
Exception of Dominant Interfering Beam: Low Complex Beam Scheduling in Mmwave Networks

Kim, Eunkyung; Kwak, Jeongho; Chong, Songresearcher, 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020, Institute of Electrical and Electronics Engineers Inc., 2020-05-28

213
효율적인 평생학습 알고리즘의 모델기반 강화학습 적용에 관한 연구

이병준; 이종민; 장영수; 최윤선; 김기응researcher, 2020 한국소프트웨어종합학술대회 (KSC2020), 한국정보과학회, 2020-12-22

214
Learning the Graphical Structure of Electronic Health Records using Graph Convolutional Transformer

Choi, Yoonjaeresearcher; Xu, Zhen; Li, Yujia; Dusenberry, Michael W.; Flores, Gerardo; Xue, Emily; Dai, Andrew M, 34th AAAI Conference on Artificial Intelligence, AAAI, 2020-02-10

215
Convergence Rates of Gradient Descent and MM Algorithms for Bradley-Terry Models

Vojnovic, Milan; Yun, Seyoungresearcher; Kaifang Zhou, 23rd International Conference on Artificial Intelligence and Statistics (AISTATS), AISTATS, 2020-08-27

216
Adversarial Neural Pruning with Latent Vulnerability Suppression

Madaan, Divyam; Shin, Jinwooresearcher; Hwang, Sung Juresearcher, 37th International Conference on Machine Learning, ICML 2020, ICML, 2020-07-15

217
Meta Variance Transfer: Learning to Augment from The Others

Park, Seong-Jin; Han, Seungju; Baek, Jiwon; Kim, Insoo; Song, Juhwan; Lee, Hae Beom; Han, Jae-Joon; et al, 37th International Conference on Machine Learning, ICML 2020, ICML, 2020-07-13

218
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures

Ryu, Jeongun; Shin, Jaewoong; Lee, Hae Beom; Hwang, Sung Juresearcher, Thirty-fourth Conference on Neural Information Processing Systems, NeurIPS 2020, NeurIPS, 2020-12-06

219
Adversarial Self-Supervised Contrastive Learning

Kim, Minseon; Tack, Jihoon; Hwang, Sung Juresearcher, Thirty-fourth Conference on Neural Information Processing Systems, NeurIPS 2020, NeurIPS, 2020-12-06

220
Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning

Kim, Youngsung; Shin, Jinwooresearcher; Yang, Eunhoresearcher; Hwang, Sung Juresearcher, Thirty-fourth Conference on Neural Information Processing Systems, NeurIPS 2020, NeurIPS, 2020-12-07

rss_1.0 rss_2.0 atom_1.0