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2010 – 2019
- 2019
[i4]Tsu-Jui Fu, Yuta Tsuboi, Sosuke Kobayashi, Yuta Kikuchi:
Learning from Observation-Only Demonstration for Task-Oriented Language Grounding via Self-Examination. ViGIL@NeurIPS 2019- 2018
- [c17]Motoki Sato, Hiroki Ouchi, Yuta Tsuboi:
Addressee and Response Selection for Multilingual Conversation. COLING 2018: 3631-3644 - [c16]Jun Hatori, Yuta Kikuchi, Sosuke Kobayashi, Kuniyuki Takahashi, Yuta Tsuboi, Yuya Unno, Wilson Ko, Jethro Tan:
Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions. ICRA 2018: 3774-3781 - [i3]Motoki Sato, Hiroki Ouchi, Yuta Tsuboi:
Addressee and Response Selection for Multilingual Conversation. CoRR abs/1808.03915 (2018) - [i2]Riku Arakawa, Sosuke Kobayashi, Yuya Unno, Yuta Tsuboi, Shin-ichi Maeda:
DQN-TAMER: Human-in-the-Loop Reinforcement Learning with Intractable Feedback. CoRR abs/1810.11748 (2018) - 2017
- [i1]Jun Hatori, Yuta Kikuchi, Sosuke Kobayashi, Kuniyuki Takahashi, Yuta Tsuboi, Yuya Unno, Wilson Ko, Jethro Tan:
Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions. CoRR abs/1710.06280 (2017) - 2016
- [c15]Hiroki Ouchi, Yuta Tsuboi:
Addressee and Response Selection for Multi-Party Conversation. EMNLP 2016: 2133-2143 - 2014
- [c14]Yuta Tsuboi:
Neural Networks Leverage Corpus-wide Information for Part-of-speech Tagging. EMNLP 2014: 938-950 - 2013
- [c13]Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima:
Clustering Crowds. AAAI 2013: 1120-1127 - [c12]Masaki Ohno, Yuta Tsuboi, Hiroshi Kanayama, Katsumasa Yoshikawa:
IBM Team at NTCIR-10 RITE2: Textual Entailment Using Temporal Dimension Reduction. NTCIR 2013 - 2012
- [c11]Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima:
A Convex Formulation for Learning from Crowds. AAAI 2012: 73-79 - [c10]Hiroshi Kajino, Yuta Tsuboi, Issei Sato, Hisashi Kashima:
Learning from Crowds and Experts. HCOMP@AAAI 2012 - 2011
- [j3]Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori:
Statistical outlier detection using direct density ratio estimation. Knowl. Inf. Syst. 26(2): 309-336 (2011) - [c9]Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Okazaki:
Fast Newton-CG Method for Batch Learning of Conditional Random Fields. AAAI 2011: 489-494 - [c8]Yuta Tsuboi, Hiroshi Kanayama, Masaki Ohno, Yuya Unno:
Syntactic Difference Based Approach for NTCIR-9 RITE Task. NTCIR 2011 - 2010
- [c7]Risa Nishiyama, Yuta Tsuboi, Yuya Unno, Hironori Takeuchi:
Feature-Rich Information Extraction for the Technical Trend-Map Creation. NTCIR 2010: 318-324
2000 – 2009
- 2009
- [j2]Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama:
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. Inf. Media Technol. 4(2): 529-546 (2009) - [j1]Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama:
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. J. Inf. Process. 17: 138-155 (2009) - 2008
- [c6]Yuta Tsuboi, Hisashi Kashima, Shinsuke Mori, Hiroki Oda, Yuji Matsumoto:
Training Conditional Random Fields Using Incomplete Annotations. COLING 2008: 897-904 - [c5]Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori:
Inlier-Based Outlier Detection via Direct Density Ratio Estimation. ICDM 2008: 223-232 - [c4]Yuta Tsuboi, Hisashi Kashima:
A new objective function for sequence labeling. ICPR 2008: 1-4 - [c3]Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama:
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. SDM 2008: 443-454 - 2004
- [c2]Hisashi Kashima, Yuta Tsuboi:
Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs. ICML 2004 - 2003
- [c1]Kaoru Yamamoto, Taku Kudo, Yuta Tsuboi, Yuji Matsumoto:
Learning Sequence-to-Sequence Correspondences from Parallel Corpora via Sequential Pattern Mining. ParallelTexts@NAACL-HLT 2003
Coauthor Index
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