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Tool as Embodiment for Recursive Manipulation


Dec 01, 2021
Yuki Noguchi, Tatsuya Matsushima, Yutaka Matsuo, Shixiang Shane Gu


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VaxNeRF: Revisiting the Classic for Voxel-Accelerated Neural Radiance Field


Nov 25, 2021
Naruya Kondo, Yuya Ikeda, Andrea Tagliasacchi, Yutaka Matsuo, Yoichi Ochiai, Shixiang Shane Gu


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Amortized Prompt: Lightweight Fine-Tuning for CLIP in Domain Generalization


Nov 25, 2021
Xin Zhang, Yusuke Iwasawa, Yutaka Matsuo, Shixiang Shane Gu


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Generalized Decision Transformer for Offline Hindsight Information Matching


Nov 23, 2021
Hiroki Furuta, Yutaka Matsuo, Shixiang Shane Gu

* Website: https://sites.google.com/view/generalizeddt and Code: https://github.com/frt03/generalized_dt 

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Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following


Oct 13, 2021
Kazutoshi Shinoda, Yuki Takezawa, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo

* NILLI workshop at EMNLP 2021 

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AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages


Sep 10, 2021
Machel Reid, Junjie Hu, Graham Neubig, Yutaka Matsuo

* EMNLP 2021 

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Pixyz: a library for developing deep generative models


Jul 28, 2021
Masahiro Suzuki, Takaaki Kaneko, Yutaka Matsuo

* Work in progress 

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Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-RL


May 14, 2021
Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo

* accepted to L4DC2021 

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Identifying Co-Adaptation of Algorithmic and Implementational Innovations in Deep Reinforcement Learning: A Taxonomy and Case Study of Inference-based Algorithms


Mar 31, 2021
Hiroki Furuta, Tadashi Kozuno, Tatsuya Matsushima, Yutaka Matsuo, Shixiang Shane Gu

* The implementation is available at: https://github.com/frt03/inference-based-rl 

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Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning


Mar 23, 2021
Hiroki Furuta, Tatsuya Matsushima, Tadashi Kozuno, Yutaka Matsuo, Sergey Levine, Ofir Nachum, Shixiang Shane Gu


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Group Equivariant Conditional Neural Processes


Feb 17, 2021
Makoto Kawano, Wataru Kumagai, Akiyoshi Sannai, Yusuke Iwasawa, Yutaka Matsuo


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Wheelchair Behavior Recognition for Visualizing Sidewalk Accessibility by Deep Neural Networks


Jan 11, 2021
Takumi Watanabe, Hiroki Takahashi, Goh Sato, Yusuke Iwasawa, Yutaka Matsuo, Ikuko Eguchi Yairi

* 15 pages, 6 figures, and 1 table; accepted at 2ND International Workshop on Deep Learning for Human Activity Recognition, held in conjunction with IJCAI-PRICAI 2020, January 2021; will be published at Springer Communications in Computer and Information Science (CCIS) proceedings 

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Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers


Jan 01, 2021
Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo

* Work in progress 

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VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling


Oct 07, 2020
Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo

* EMNLP 2020, 10 Pages 

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Epipolar-Guided Deep Object Matching for Scene Change Detection


Jul 30, 2020
Kento Doi, Ryuhei Hamaguchi, Shun Iwase, Rio Yokota, Yutaka Matsuo, Ken Sakurada

* 8 pages, 4 figures 

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Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization


Jun 23, 2020
Tatsuya Matsushima, Hiroki Furuta, Yutaka Matsuo, Ofir Nachum, Shixiang Gu


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A Multi-modal Approach to Fine-grained Opinion Mining on Video Reviews


May 28, 2020
Edison Marrese-Taylor, Cristian Rodriguez-Opazo, Jorge A. Balazs, Stephen Gould, Yutaka Matsuo

* Second Grand Challenge and Workshop on Multimodal Language ACL 2020 

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Variational Inference for Learning Representations of Natural Language Edits


May 18, 2020
Edison Marrese-Taylor, Machel Reid, Yutaka Matsuo

* 5th Workshop on Representation Learning for NLP (RepL4NLP-2020) 

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Character-level Japanese Text Generation with Attention Mechanism for Chest Radiography Diagnosis


Apr 06, 2020
Kenya Sakka, Kotaro Nakayama, Nisei Kimura, Taiki Inoue, Yusuke Iwasawa, Ryohei Yamaguchi, Yosimasa Kawazoe, Kazuhiko Ohe, Yutaka Matsuo

* 8 pages, 3 figures, 2 tables 

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Combining Pretrained High-Resource Embeddings and Subword Representations for Low-Resource Languages


Mar 11, 2020
Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo

* To appear at ICLR (International Conference of Learning Representations) 2020 Africa NLP Workshop 

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An Edit-centric Approach for Wikipedia Article Quality Assessment


Sep 19, 2019
Edison Marrese-Taylor, Pablo Loyola, Yutaka Matsuo

* Accepted at the W-NUT Workshop, EMNLP 2019 

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Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization


Apr 29, 2019
Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo

* under review at ECMLPKDD 

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Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study


Apr 11, 2019
Jorge A. Balazs, Yutaka Matsuo

* Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop 

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Deep contextualized word representations for detecting sarcasm and irony


Sep 26, 2018
Suzana Ilić, Edison Marrese-Taylor, Jorge A. Balazs, Yutaka Matsuo

* To appear in WASSA 2018 

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IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations


Sep 01, 2018
Jorge A. Balazs, Edison Marrese-Taylor, Yutaka Matsuo

* Accepted as a system description paper for the Implicit Emotion Shared Task of WASSA 2018 (EMNLP) 

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Expressive Speech Synthesis via Modeling Expressions with Variational Autoencoder


Jun 27, 2018
Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo

* Accepted by Interspeech 2018 

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Learning to Automatically Generate Fill-In-The-Blank Quizzes


Jun 12, 2018
Edison Marrese-Taylor, Ai Nakajima, Yutaka Matsuo, Ono Yuichi

* 5th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA), collocated with ACL 2018 
* 5 pages 

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