b'Yutaka Matsuo'

research

∙ 09/16/2023

GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy

Due to the inherent uncertainty in their deformability during motion, pr...

0 So Kuroki, et al. ∙

research

∙ 07/24/2023

A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis

Pre-trained large language models (LLMs) have recently achieved better g...

0 Izzeddin Gür, et al. ∙

research

∙ 06/14/2023

GenORM: Generalizable One-shot Rope Manipulation with Parameter-Aware Policy

Due to the inherent uncertainty in their deformability during motion, pr...

10 So Kuroki, et al. ∙

research

∙ 06/13/2023

Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model

Text-to-image generative models have attracted rising attention for flex...

0 Xin Zhang, et al. ∙

research

∙ 06/06/2023

DreamSparse: Escaping from Plato's Cave with 2D Frozen Diffusion Model Given Sparse Views

Synthesizing novel view images from a few views is a challenging but pra...

0 Paul Yoo, et al. ∙

research

∙ 05/31/2023

End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization

We address the problem of biased gradient estimation in deep Boltzmann m...

0 Shohei Taniguchi, et al. ∙

research

∙ 05/22/2023

Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice

Mirror descent value iteration (MDVI), an abstraction of Kullback-Leible...

0 Toshinori Kitamura, et al. ∙

research

∙ 05/19/2023

Multimodal Web Navigation with Instruction-Finetuned Foundation Models

The progress of autonomous web navigation has been hindered by the depen...

0 Hiroki Furuta, et al. ∙

research

∙ 12/29/2022

Multimodal Sequential Generative Models for Semi-Supervised Language Instruction Following

Agents that can follow language instructions are expected to be useful i...

0 Kei Akuzawa, et al. ∙

research

∙ 11/28/2022

Realtime Fewshot Portrait Stylization Based On Geometric Alignment

This paper presents a portrait stylization method designed for real-time...

0 Xinrui Wang, et al. ∙

research

∙ 11/28/2022

Collective Intelligence for Object Manipulation with Mobile Robots

While natural systems often present collective intelligence that allows ...

5 So Kuroki, et al. ∙

research

∙ 11/25/2022

A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation

The rise of generalist large-scale models in natural language and vision...

0 Hiroki Furuta, et al. ∙

research

∙ 09/15/2022

Langevin Autoencoders for Learning Deep Latent Variable Models

Markov chain Monte Carlo (MCMC), such as Langevin dynamics, is valid for...

0 Shohei Taniguchi, et al. ∙

research

∙ 08/13/2022

Recognition of All Categories of Entities by AI

Human-level AI will have significant impacts on human society. However, ...

58 Hiroshi Yamakawa, et al. ∙

research

∙ 08/08/2022

Deep Billboards towards Lossless Real2Sim in Virtual Reality

An aspirational goal for virtual reality (VR) is to bring in a rich dive...

1 Naruya Kondo, et al. ∙

research

∙ 07/20/2022

World Robot Challenge 2020 – Partner Robot: A Data-Driven Approach for Room Tidying with Mobile Manipulator

Tidying up a household environment using a mobile manipulator poses vari...

22 Tatsuya Matsushima, et al. ∙

research

∙ 07/05/2022

A survey of multimodal deep generative models

Multimodal learning is a framework for building models that make predict...

0 Masahiro Suzuki, et al. ∙

research

∙ 06/28/2022

Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment

Vision Transformer (ViT) is becoming more popular in image processing. S...

0 Takeshi Kojima, et al. ∙

research

∙ 05/24/2022

Large Language Models are Zero-Shot Reasoners

Pretrained large language models (LLMs) are widely used in many sub-fiel...

0 Takeshi Kojima, et al. ∙

research

∙ 12/01/2021

Tool as Embodiment for Recursive Manipulation

Humans and many animals exhibit a robust capability to manipulate divers...

0 Yuki Noguchi, et al. ∙

research

∙ 11/25/2021

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

Neural Radiance Field (NeRF) is a popular method in data-driven 3D recon...

0 Naruya Kondo, et al. ∙

research

∙ 11/25/2021

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

Domain generalization (DG) is a difficult transfer learning problem aimi...

0 Xin Zhang, et al. ∙

research

∙ 11/19/2021

Generalized Decision Transformer for Offline Hindsight Information Matching

How to extract as much learning signal from each trajectory data has bee...

0 Hiroki Furuta, et al. ∙

research

∙ 10/13/2021

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

An interactive instruction following task has been proposed as a benchma...

0 Kazutoshi Shinoda, et al. ∙

research

∙ 09/10/2021

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

Reproducible benchmarks are crucial in driving progress of machine trans...

0 Machel Reid, et al. ∙

research

∙ 07/28/2021

Pixyz: a library for developing deep generative models

With the recent rapid progress in the study of deep generative models (D...

0 Masahiro Suzuki, et al. ∙

research

∙ 05/14/2021

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

There is considerable interest in designing meta-reinforcement learning ...

0 Kei Akuzawa, et al. ∙

research

∙ 03/31/2021

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

Recently many algorithms were devised for reinforcement learning (RL) wi...

7 Hiroki Furuta, et al. ∙

research

∙ 03/23/2021

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

Progress in deep reinforcement learning (RL) research is largely enabled...

13 Hiroki Furuta, et al. ∙

research

∙ 02/17/2021

Group Equivariant Conditional Neural Processes

We present the group equivariant conditional neural process (EquivCNP), ...

0 Makoto Kawano, et al. ∙

research

∙ 01/11/2021

Wheelchair Behavior Recognition for Visualizing Sidewalk Accessibility by Deep Neural Networks

This paper introduces our methodology to estimate sidewalk accessibiliti...

0 Takumi Watanabe, et al. ∙

research

∙ 01/01/2021

Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers

The advent of the Transformer can arguably be described as a driving for...

0 Machel Reid, et al. ∙

research

∙ 10/07/2020

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

In this paper, we tackle the task of definition modeling, where the goal...

0 Machel Reid, et al. ∙

research

∙ 07/30/2020

Epipolar-Guided Deep Object Matching for Scene Change Detection

This paper describes a viewpoint-robust object-based change detection ne...

1 Kento Doi, et al. ∙

research

∙ 06/05/2020

Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization

Most reinforcement learning (RL) algorithms assume online access to the ...

10 Tatsuya Matsushima, et al. ∙

research

∙ 05/27/2020

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

Despite the recent advances in opinion mining for written reviews, few w...

13 Edison Marrese-Taylor, et al. ∙

research

∙ 04/20/2020

Variational Inference for Learning Representations of Natural Language Edits

Document editing has become a pervasive component of production of infor...

0 Edison Marrese-Taylor, et al. ∙

research

∙ 03/09/2020

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

The contrast between the need for large amounts of data for current Natu...

0 Machel Reid, et al. ∙

research

∙ 09/19/2019

An Edit-centric Approach for Wikipedia Article Quality Assessment

We propose an edit-centric approach to assess Wikipedia article quality ...

0 Edison Marrese-Taylor, et al. ∙

research

∙ 04/29/2019

Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization

Learning domain-invariant representation is a dominant approach for doma...

8 Kei Akuzawa, et al. ∙

research

∙ 04/11/2019

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

In this paper we study how different ways of combining character and wor...

18 Jorge A. Balazs, et al. ∙

research

∙ 09/26/2018

Deep contextualized word representations for detecting sarcasm and irony

Predicting context-dependent and non-literal utterances like sarcastic a...

0 Suzana Ilic, et al. ∙

research

∙ 08/27/2018

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

In this paper we describe our system designed for the WASSA 2018 Implici...

0 Jorge A. Balazs, et al. ∙

research

∙ 06/12/2018

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

In this paper we formalize the problem automatic fill-in-the-blank quest...

0 Edison Marrese-Taylor, et al. ∙

research

∙ 04/22/2018

IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets

In this paper we introduce our system for the task of Irony detection in...

0 Edison Marrese-Taylor, et al. ∙

research

∙ 04/06/2018

Expressive Speech Synthesis via Modeling Expressions with Variational Autoencoder

Recent advances in neural autoregressive models have improve the perform...

0 Kei Akuzawa, et al. ∙

research

∙ 01/26/2018

Improving Bi-directional Generation between Different Modalities with Variational Autoencoders

We investigate deep generative models that can exchange multiple modalit...

0 Masahiro Suzuki, et al. ∙

research

∙ 08/18/2017

EmoAtt at EmoInt-2017: Inner attention sentence embedding for Emotion Intensity

In this paper we describe a deep learning system that has been designed ...

0 Edison Marrese-Taylor, et al. ∙

research

∙ 08/08/2017

Mining fine-grained opinions on closed captions of YouTube videos with an attention-RNN

Video reviews are the natural evolution of written product reviews. In t...

0 Edison Marrese-Taylor, et al. ∙

research

∙ 07/11/2017

Refining Raw Sentence Representations for Textual Entailment Recognition via Attention

In this paper we present the model used by the team Rivercorners for the...

0 Jorge A. Balazs, et al. ∙

Yutaka Matsuo

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