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2020 – today
- 2023
[j44]Yutaka Matsuo, Ryutaro Ichise, Yoji Kiyota:
New Generation Computing Becomes the Official Journal of the Japanese Society for Artificial Intelligence. New Gener. Comput. 41(1): 1-2 (2023)- [j43]Takeshi Kojima
, Yusuke Iwasawa, Yutaka Matsuo:
Robustifying Vision Transformer Without Retraining from Scratch Using Attention-Based Test-Time Adaptation. New Gener. Comput. 41(1): 5-24 (2023) - [j42]Bo Yang, Jianming Wu, Kazushi Ikeda, Gen Hattori, Masaru Sugano, Yusuke Iwasawa, Yutaka Matsuo:
Deep Learning Pipeline for Spotting Macro- and Micro-expressions in Long Video Sequences Based on Action Units and Optical Flow. Pattern Recognit. Lett. 165: 63-74 (2023) - [j41]So Kuroki, Tatsuya Matsushima, Jumpei Arima, Hiroki Furuta, Yutaka Matsuo, Shixiang Shane Gu, Yujin Tang:
Collective Intelligence for 2D Push Manipulations With Mobile Robots. IEEE Robotics Autom. Lett. 8(5): 2820-2827 (2023) - [c156]Kazutoshi Shinoda, Yuki Takezawa, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo:
Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following. MMM (2) 2023: 635-646 - [i51]Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo:
Multimodal Sequential Generative Models for Semi-Supervised Language Instruction Following. CoRR abs/2301.00676 (2023) - [i50]Hiroki Furuta, Ofir Nachum, Kuang-Huei Lee, Yutaka Matsuo, Shixiang Shane Gu, Izzeddin Gur:
Multimodal Web Navigation with Instruction-Finetuned Foundation Models. CoRR abs/2305.11854 (2023) - [i49]Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Ménard, Mohammad Gheshlaghi Azar, Rémi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvári, Wataru Kumagai, Yutaka Matsuo:
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice. CoRR abs/2305.13185 (2023) - 2022
- [j40]Tadahiro Taniguchi, Takayuki Nagai, Shingo Shimoda, Angelo Cangelosi, Yiannis Demiris, Yutaka Matsuo, Kenji Doya, Tetsuya Ogata, Lorenzo Jamone, Yukie Nagai, Emre Ugur, Daichi Mochihashi, Yuuya Unno, Kazuo Okanoya, Takashi Hashimoto:
Special issue on Symbol Emergence in Robotics and Cognitive Systems (I). Adv. Robotics 36(1-2): 1-2 (2022) - [j39]Tadahiro Taniguchi, Takayuki Nagai, Shingo Shimoda, Angelo Cangelosi, Yiannis Demiris, Yutaka Matsuo, Kenji Doya, Tetsuya Ogata, Lorenzo Jamone, Yukie Nagai, Emre Ugur, Daichi Mochihashi, Yuuya Unno, Kazuo Okanoya, Takashi Hashimoto:
Special issue on symbol emergence in robotics and cognitive systems (II). Adv. Robotics 36(5-6): 217-218 (2022) - [j38]Masahiro Suzuki, Yutaka Matsuo:
A survey of multimodal deep generative models. Adv. Robotics 36(5-6): 261-278 (2022) - [j37]Tatsuya Matsushima, Yuki Noguchi, Jumpei Arima, Toshiki Aoki, Yuki Okita, Yuya Ikeda, Koki Ishimoto, Shohei Taniguchi, Yuki Yamashita, Shoichi Seto, Shixiang Shane Gu, Yusuke Iwasawa, Yutaka Matsuo:
World robot challenge 2020 - partner robot: a data-driven approach for room tidying with mobile manipulator. Adv. Robotics 36(17-18): 850-869 (2022) - [j36]Simon Speth, Artur Gonçalves, Bastien Rigault, Satoshi Suzuki, Mondher Bouazizi, Yutaka Matsuo, Helmut Prendinger:
Deep learning with RGB and thermal images onboard a drone for monitoring operations. J. Field Robotics 39(6): 840-868 (2022) - [j35]Hitoshi Nakanishi, Masahiro Suzuki, Yutaka Matsuo:
Fixing the Train-test Objective Discrepancy: Iterative Image Inpainting for Unsupervised Anomaly Detection. J. Inf. Process. 30: 495-504 (2022) - [j34]Masayuki Numao, Yutaka Matsuo, Yoji Kiyota:
Renewal of the Major Fields of New Generation Computing Vol. 40 (2022). New Gener. Comput. 40(1): 1-3 (2022) - [j33]Yutaka Matsuo, Yann LeCun, Maneesh Sahani, Doina Precup, David Silver, Masashi Sugiyama, Eiji Uchibe, Jun Morimoto:
Deep learning, reinforcement learning, and world models. Neural Networks 152: 267-275 (2022) - [j32]Bo Yang, Jianming Wu, Kazushi Ikeda, Gen Hattori, Masaru Sugano, Yusuke Iwasawa, Yutaka Matsuo:
Face-mask-aware Facial Expression Recognition based on Face Parsing and Vision Transformer. Pattern Recognit. Lett. 164: 173-182 (2022) - [j31]Kento Doi, Ryuhei Hamaguchi, Yusuke Iwasawa, Masaki Onishi, Yutaka Matsuo, Ken Sakurada:
Detecting Object-Level Scene Changes in Images with Viewpoint Differences Using Graph Matching. Remote. Sens. 14(17): 4225 (2022) - [j30]Tasweer Ahmad, Marc Cavazza, Yutaka Matsuo, Helmut Prendinger:
Detecting Human Actions in Drone Images Using YoloV5 and Stochastic Gradient Boosting. Sensors 22(18): 7020 (2022) - [c155]Itsuki Okimura, Machel Reid, Makoto Kawano, Yutaka Matsuo:
On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing. Insights@ACL 2022: 88-93 - [c154]Francis Zheng, Edison Marrese-Taylor, Yutaka Matsuo:
Improving Jejueo-Korean Translation With Cross-Lingual Pretraining Using Japanese and Korean. WAT@COLING 2022: 44-50 - [c153]Angelo Coluccia, Alessio Fascista, Arne Schumann, Lars Sommer, Anastasios Dimou, Dimitrios Zarpalas, Nabin Sharma, Mrunalini Nalamati, Ogulcan Eryuksel, Kamil Anil Ozfuttu, Fatih Cagatay Akyon, Kadir Sahin, Efe Buyukborekci, Devrim Cavusoglu, Sinan Altinuc, Daitao Xing, Halil Utku Unlu, Nikolaos Evangeliou, Anthony Tzes, Abhijeet Nayak, Mondher Bouazizi, Tasweer Ahmad, Artur Gonçalves, Bastien Rigault, Raghvendra Jain, Yutaka Matsuo, Helmut Prendinger, Edmond Jajaga, Veton Rushiti, Blerant Ramadani, Daniel Pavleski:
Drone-vs-Bird Detection Challenge at ICIAP 2021. ICIAP Workshops 2022: 410-421 - [c152]Abhijeet Nayak, Mondher Bouazizi, Tasweer Ahmad, Artur Gonçalves, Bastien Rigault, Raghvendra Jain, Yutaka Matsuo, Helmut Prendinger:
Evaluation of Fully Convolutional One-Stage Object Detection for Drone Detection. ICIAP Workshops 2022: 434-445 - [c151]Hiroki Furuta, Yutaka Matsuo, Shixiang Shane Gu:
Generalized Decision Transformer for Offline Hindsight Information Matching. ICLR 2022 - [c150]Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa:
Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment. IJCAI 2022: 1009-1016 - [c149]Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, Yusuke Iwasawa:
Large Language Models are Zero-Shot Reasoners. NeurIPS 2022 - [c148]Shohei Taniguchi, Yusuke Iwasawa, Wataru Kumagai, Yutaka Matsuo:
Langevin Autoencoders for Learning Deep Latent Variable Models. NeurIPS 2022 - [i48]Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, Yusuke Iwasawa:
Large Language Models are Zero-Shot Reasoners. CoRR abs/2205.11916 (2022) - [i47]Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa:
Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment. CoRR abs/2206.13951 (2022) - [i46]Masahiro Suzuki, Yutaka Matsuo:
A survey of multimodal deep generative models. CoRR abs/2207.02127 (2022) - [i45]Tatsuya Matsushima, Yuki Noguchi, Jumpei Arima, Toshiki Aoki, Yuki Okita, Yuya Ikeda, Koki Ishimoto, Shohei Taniguchi, Yuki Yamashita, Shoichi Seto, Shixiang Shane Gu, Yusuke Iwasawa, Yutaka Matsuo:
World Robot Challenge 2020 - Partner Robot: A Data-Driven Approach for Room Tidying with Mobile Manipulator. CoRR abs/2207.10106 (2022) - [i44]Hiroshi Yamakawa, Yutaka Matsuo:
Recognition of All Categories of Entities by AI. CoRR abs/2208.06590 (2022) - [i43]Naruya Kondo, So Kuroki, Ryosuke Hyakuta, Yutaka Matsuo, Shixiang Shane Gu, Yoichi Ochiai:
Deep Billboards towards Lossless Real2Sim in Virtual Reality. CoRR abs/2208.08861 (2022) - [i42]Shohei Taniguchi, Yusuke Iwasawa, Wataru Kumagai, Yutaka Matsuo:
Langevin Autoencoders for Learning Deep Latent Variable Models. CoRR abs/2209.07036 (2022) - [i41]Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo, Shixiang Shane Gu:
A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation. CoRR abs/2211.14296 (2022) - [i40]So Kuroki, Tatsuya Matsushima, Jumpei Arima, Yutaka Matsuo, Shixiang Shane Gu, Yujin Tang:
Collective Intelligence for Object Manipulation with Mobile Robots. CoRR abs/2211.15136 (2022) - [i39]Xinrui Wang, Zhuoru Li, Xiao Zhou, Yusuke Iwasawa, Yutaka Matsuo:
Realtime Fewshot Portrait Stylization Based On Geometric Alignment. CoRR abs/2211.15549 (2022) - 2021
- [j29]Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo:
Information-theoretic regularization for learning global features by sequential VAE. Mach. Learn. 110(8): 2239-2266 (2021) - [j28]Hiromi Nakagawa, Yusuke Iwasawa, Yutaka Matsuo:
Graph-based knowledge tracing: Modeling student proficiency using graph neural networks. Web Intell. 19(1-2): 87-102 (2021) - [c147]Edison Marrese-Taylor, Machel Reid, Yutaka Matsuo:
Variational Inference for Learning Representations of Natural Language Edits. AAAI 2021: 13552-13560 - [c146]Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo:
Making Use of Latent Space in Language GANs for Generating Diverse Text without Pre-training. EACL (Student Research Workshop) 2021: 175-182 - [c145]Machel Reid, Junjie Hu, Graham Neubig, Yutaka Matsuo:
AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages. EMNLP (1) 2021: 1306-1320 - [c144]Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo:
Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers. EMNLP (Findings) 2021: 4081-4090 - [c143]Makoto Kawano, Wataru Kumagai, Akiyoshi Sannai, Yusuke Iwasawa, Yutaka Matsuo:
Group Equivariant Conditional Neural Processes. ICLR 2021 - [c142]Tatsuya Matsushima, Hiroki Furuta, Yutaka Matsuo, Ofir Nachum, Shixiang Gu:
Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization. ICLR 2021 - [c141]Hiroki Furuta, Tatsuya Matsushima, Tadashi Kozuno, Yutaka Matsuo, Sergey Levine, Ofir Nachum, Shixiang Shane Gu:
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning. ICML 2021: 3541-3552 - [c140]Tetsuro Kakeshita, Kazuo Ishii, Yoshiharu Ishikawa, Hitoshi Matsubara, Yutaka Matsuo, Tsuyoshi Murata, Miyuki Nakano, Takako Nakatani, Haruhiko Okumura, Naoko Takahashi, Norimitsu Takahashi, Gyo Uchida, Eriko Uematsu, Satoshi Saeki, Hiroshi Kato:
Development of IPSJ Data Science Curriculum Standard. OCCE 2021: 156-167 - [c139]Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo:
Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning. L4DC 2021: 73-86 - [c138]Yusuke Iwasawa, Yutaka Matsuo:
Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization. NeurIPS 2021: 2427-2440 - [c137]Hiroki Furuta, Tadashi Kozuno, Tatsuya Matsushima, Yutaka Matsuo, Shixiang Shane Gu:
Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning. NeurIPS 2021: 9828-9842 - [i38]Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo:
Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers. CoRR abs/2101.00234 (2021) - [i37]Takumi Watanabe, Hiroki Takahashi, Goh Sato, Yusuke Iwasawa, Yutaka Matsuo, Ikuko Eguchi Yairi:
Wheelchair Behavior Recognition for Visualizing Sidewalk Accessibility by Deep Neural Networks. CoRR abs/2101.03724 (2021) - [i36]Makoto Kawano, Wataru Kumagai, Akiyoshi Sannai, Yusuke Iwasawa, Yutaka Matsuo:
Group Equivariant Conditional Neural Processes. CoRR abs/2102.08759 (2021) - [i35]Hiroki Furuta, Tatsuya Matsushima, Tadashi Kozuno, Yutaka Matsuo, Sergey Levine, Ofir Nachum, Shixiang Shane Gu:
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning. CoRR abs/2103.12726 (2021) - [i34]Hiroki Furuta, Tadashi Kozuno, Tatsuya Matsushima, Yutaka Matsuo, Shixiang Shane Gu:
Identifying Co-Adaptation of Algorithmic and Implementational Innovations in Deep Reinforcement Learning: A Taxonomy and Case Study of Inference-based Algorithms. CoRR abs/2103.17258 (2021) - [i33]Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo:
Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-RL. CoRR abs/2105.06660 (2021) - [i32]Masahiro Suzuki, Takaaki Kaneko, Yutaka Matsuo:
Pixyz: a library for developing deep generative models. CoRR abs/2107.13109 (2021) - [i31]Machel Reid, Junjie Hu, Graham Neubig, Yutaka Matsuo:
AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages. CoRR abs/2109.04715 (2021) - [i30]Kazutoshi Shinoda, Yuki Takezawa, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo:
Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following. CoRR abs/2110.07031 (2021) - [i29]Hiroki Furuta, Yutaka Matsuo, Shixiang Shane Gu:
Generalized Decision Transformer for Offline Hindsight Information Matching. CoRR abs/2111.10364 (2021) - [i28]Xin Zhang, Yusuke Iwasawa, Yutaka Matsuo, Shixiang Shane Gu:
Amortized Prompt: Lightweight Fine-Tuning for CLIP in Domain Generalization. CoRR abs/2111.12853 (2021) - [i27]Naruya Kondo, Yuya Ikeda, Andrea Tagliasacchi, Yutaka Matsuo, Yoichi Ochiai, Shixiang Shane Gu:
VaxNeRF: Revisiting the Classic for Voxel-Accelerated Neural Radiance Field. CoRR abs/2111.13112 (2021) - [i26]Yuki Noguchi, Tatsuya Matsushima, Yutaka Matsuo, Shixiang Shane Gu:
Tool as Embodiment for Recursive Manipulation. CoRR abs/2112.00359 (2021) - 2020
- [j27]Tatsuya Matsushima, Naruya Kondo, Yusuke Iwasawa, Kaoru Nasuno, Yutaka Matsuo:
Modeling Task Uncertainty for Safe Meta-Imitation Learning. Frontiers Robotics AI 7: 606361 (2020) - [j26]Takumi Watanabe, Hiroki Takahashi, Yusuke Iwasawa, Yutaka Matsuo, Ikuko Eguchi Yairi:
Weakly Supervised Learning for Evaluating Road Surface Condition from Wheelchair Driving Data. Inf. 11(1): 2 (2020) - [j25]Masayuki Numao, Yutaka Matsuo, Shinnosuke Seki:
Renewal of the Major Fields of New Generation Computing Vol. 38 (2020). New Gener. Comput. 38(1): 1-3 (2020) - [j24]Yutaka Matsuo:
Special Features of Deep Learning and Symbol Emergence. New Gener. Comput. 38(1): 5-6 (2020) - [c136]Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo:
VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling. EMNLP (1) 2020: 6331-6344 - [c135]Keiichi Ochiai, Yusuke Fukazawa, Wataru Yamada, Hiroyuki Manabe, Yutaka Matsuo:
Gravity of Location-Based Service: Analyzing the Effects for Mobility Pattern and Location Prediction. ICWSM 2020: 476-487 - [c134]Yusuke Iwasawa, Kei Akuzawa, Yutaka Matsuo:
Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective. IJCAI 2020: 1955-1962 - [c133]Edison Marrese-Taylor, Pablo Loyola, Jorge A. Balazs, Yutaka Matsuo:
Learning to Describe Editing Activities in Collaborative Environments: A Case Study on GitHub and Wikipedia. PACLIC 2020: 188-198 - [i25]Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo:
Combining Pretrained High-Resource Embeddings and Subword Representations for Low-Resource Languages. CoRR abs/2003.04419 (2020) - [i24]Edison Marrese-Taylor, Machel Reid, Yutaka Matsuo:
Variational Inference for Learning Representations of Natural Language Edits. CoRR abs/2004.09143 (2020) - [i23]Kenya Sakka, Kotaro Nakayama, Nisei Kimura, Taiki Inoue, Yusuke Iwasawa, Ryohei Yamaguchi, Yoshimasa Kawazoe, Kazuhiko Ohe, Yutaka Matsuo:
Character-level Japanese Text Generation with Attention Mechanism for Chest Radiography Diagnosis. CoRR abs/2004.13846 (2020) - [i22]Edison Marrese-Taylor, Cristian Rodriguez Opazo, Jorge A. Balazs, Stephen Gould, Yutaka Matsuo:
A Multi-modal Approach to Fine-grained Opinion Mining on Video Reviews. CoRR abs/2005.13362 (2020) - [i21]Tatsuya Matsushima, Hiroki Furuta, Yutaka Matsuo, Ofir Nachum, Shixiang Gu:
Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization. CoRR abs/2006.03647 (2020) - [i20]Kento Doi, Ryuhei Hamaguchi, Shun Iwase, Rio Yokota, Yutaka Matsuo, Ken Sakurada:
Epipolar-Guided Deep Object Matching for Scene Change Detection. CoRR abs/2007.15540 (2020) - [i19]Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo:
VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling. CoRR abs/2010.03124 (2020)
2010 – 2019
- 2019
- [j23]Rúben Geraldes, Artur Goncalves, Tin Lai, Mathias Villerabel, Wenlong Deng, Ana Salta, Kotaro Nakayama, Yutaka Matsuo, Helmut Prendinger:
UAV-Based Situational Awareness System Using Deep Learning. IEEE Access 7: 122583-122594 (2019) - [j22]Juan Jose Rubio, Takahiro Kashiwa, Teera Laiteerapong, Wenlong Deng, Kohei Nagai, Sergio Escalera, Kotaro Nakayama, Yutaka Matsuo, Helmut Prendinger:
Multi-class structural damage segmentation using fully convolutional networks. Comput. Ind. 112 (2019) - [j21]Ikuko Eguchi Yairi, Hiroki Takahashi, Takumi Watanabe, Kouya Nagamine, Yusuke Fukushima, Yutaka Matsuo, Yusuke Iwasawa:
Estimating Spatiotemporal Information from Behavioral Sensing Data of Wheelchair Users by Machine Learning Technologies. Inf. 10(3): 114 (2019) - [j20]Masayuki Numao, Yutaka Matsuo, Kouzou Ohara, Fujio Toriumi:
Renewal of the Major Fields from New Generation Computing Vol. 37 (2019). New Gener. Comput. 37(1): 1-3 (2019) - [c132]Edison Marrese-Taylor, Pablo Loyola, Yutaka Matsuo:
An Edit-centric Approach for Wikipedia Article Quality Assessment. W-NUT@EMNLP 2019: 381-386 - [c131]Shizuma Kubo, Yusuke Iwasawa, Masahiro Suzuki, Yutaka Matsuo:
UVTON: UV Mapping to Consider the 3D Structure of a Human in Image-Based Virtual Try-On Network. ICCV Workshops 2019: 3105-3108 - [c130]Hirono Okamoto, Masahiro Suzuki, Itto Higuchi, Shohei Ohsawa, Yutaka Matsuo:
Dual Space Learning with variational Autoencoders. DGS@ICLR 2019 - [c129]Jorge A. Balazs, Yutaka Matsuo:
Gating Mechanisms for Combining Character and Word-level Word Representations: an Empirical Study. NAACL-HLT (Student Research Workshop) 2019: 110-124 - [c128]Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo:
Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization. ECML/PKDD (2) 2019: 315-331 - [c127]Hiromi Nakagawa, Yusuke Iwasawa, Yutaka Matsuo:
Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network. WI 2019: 156-163 - [i18]Jorge A. Balazs, Yutaka Matsuo:
Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study. CoRR abs/1904.05584 (2019) - [i17]Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo:
Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization. CoRR abs/1904.12543 (2019) - [i16]Edison Marrese-Taylor, Pablo Loyola, Yutaka Matsuo:
An Edit-centric Approach for Wikipedia Article Quality Assessment. CoRR abs/1909.08880 (2019) - 2018
- [j19]Masayuki Numao, Yutaka Matsuo, Ayumi Shinohara, Masaki Suwa:
Renewal of the Major Fields from New Generation Computing Vol. 36 (2018). New Gener. Comput. 36(2): 91-93 (2018) - [c126]Edison Marrese-Taylor, Ai Nakajima, Yutaka Matsuo, Yuichi Ono:
Learning to Automatically Generate Fill-In-The-Blank Quizzes. NLP-TEA@ACL 2018: 152-156 - [c125]Nishanth Koganti, Abdul Rahman Abdul Ghani, Yusuke Iwasawa, Kotaro Nakayama, Yutaka Matsuo:
Virtual Reality as a User-friendly Interface for Learning from Demonstrations. CHI Extended Abstracts 2018 - [c124]Hiromi Nakagawa, Yusuke Iwasawa, Yutaka Matsuo:
End-to-End Deep Knowledge Tracing by Learning Binary Question-Embedding. ICDM Workshops 2018: 334-342 - [c123]Abdul Rahman Abdul Ghani, Nishanth Koganti, Alfredo Solano, Yusuke Iwasawa, Kotaro Nakayama, Yutaka Matsuo:
Designing Efficient Neural Attention Systems Towards Achieving Human-level Sharp Vision. ICLR (Workshop) 2018 - [c122]Yusuke Iwasawa, Kotaro Nakayama, Yutaka Matsuo:
Censoring Representations with Multiple-Adversaries over Random Subspaces. ICLR (Workshop) 2018 - [c121]Shohei Ohsawa, Kei Akuzawa, Tatsuya Matsushima, Gustavo Bezerra, Yusuke Iwasawa, Hiroshi Kajino, Seiya Takenaka, Yutaka Matsuo:
Neuron as an Agent. ICLR (Workshop) 2018 - [c120]Hiroaki Shioya, Yusuke Iwasawa, Yutaka Matsuo:
Extending Robust Adversarial Reinforcement Learning Considering Adaptation and Diversity. ICLR (Workshop) 2018 - [c119]Joji Toyama, Yusuke Iwasawa, Kotaro Nakayama, Yutaka Matsuo:
Expert-based reward function training: the novel method to train sequence generators. ICLR (Workshop) 2018 - [c118]Pablo Loyola, Edison Marrese-Taylor, Jorge A. Balazs, Yutaka Matsuo, Fumiko Satoh:
Content Aware Source Code Change Description Generation. INLG 2018: 119-128 - [c117]Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo:
Expressive Speech Synthesis via Modeling Expressions with Variational Autoencoder. INTERSPEECH 2018: 3067-3071 - [c116]Edison Marrese-Taylor, Suzana Ilic, Jorge A. Balazs, Helmut Prendinger, Yutaka Matsuo:
IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets. SemEval@NAACL-HLT 2018: 537-540 - [c115]Suzana Ilic, Edison Marrese-Taylor, Jorge A. Balazs, Yutaka Matsuo:
Deep contextualized word representations for detecting sarcasm and irony. WASSA@EMNLP 2018: 2-7 - [c114]Jorge A. Balazs, Edison Marrese-Taylor, Yutaka Matsuo:
IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations. WASSA@EMNLP 2018: 50-56 - [i15]Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo:
Improving Bi-directional Generation between Different Modalities with Variational Autoencoders. CoRR abs/1801.08702 (2018) - [i14]Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo:
Expressive Speech Synthesis via Modeling Expressions with Variational Autoencoder. CoRR abs/1804.02135 (2018) - [i13]Edison Marrese-Taylor, Suzana Ilic, Jorge A. Balazs, Yutaka Matsuo, Helmut Prendinger:
IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets. CoRR abs/1804.08094 (2018) - [i12]Edison Marrese-Taylor, Ai Nakajima, Yutaka Matsuo, Yuichi Ono:
Learning to Automatically Generate Fill-In-The-Blank Quizzes. CoRR abs/1806.04524 (2018) - [i11]Jorge A. Balazs, Edison Marrese-Taylor, Yutaka Matsuo:
IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations. CoRR abs/1808.08672 (2018) - [i10]Suzana Ilic, Edison Marrese-Taylor, Jorge A. Balazs, Yutaka Matsuo:
Deep contextualized word representations for detecting sarcasm and irony. CoRR abs/1809.09795 (2018) - 2017
- [c113]Pablo Loyola, Edison Marrese-Taylor, Yutaka Matsuo:
A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes. ACL (2) 2017: 287-292 - [c112]Mohammadamin Barekatain, Miquel Martí, Hsueh-Fu Shih, Samuel Murray, Kotaro Nakayama, Yutaka Matsuo, Helmut Prendinger:
Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection. CVPR Workshops 2017: 2153-2160 - [c111]Edison Marrese-Taylor, Yutaka Matsuo:
Replication issues in syntax-based aspect extraction for opinion mining. EACL (Student Research Workshop) 2017: 23-32 - [c110]