Shin-ichi Maeda | DeepAI

AI Chat

Featured Co-authors

Adrien Gaidon
70 publications
Hisashi Kashima
40 publications
Rares Ambrus
34 publications
Homanga Bharadhwaj
25 publications
Yuki Saito
22 publications
Nontawat Charoenphakdee
19 publications
Kohei Hayashi
19 publications
Hai Nguyen
17 publications
Masanori Koyama
17 publications
Sosuke Kobayashi
15 publications
Kuniyuki Takahashi
13 publications

∙ 09/15/2023

Two-fingered Hand with Gear-type Synchronization Mechanism with Magnet for Improved Small and Offset Objects Grasping: F2 Hand

A problem that plagues robotic grasping is the misalignment of the objec...

0 Naoki Fukaya, et al. ∙

∙ 06/19/2023

Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics

Identifying the relationship between healthcare attributes, lifestyles, ...

0 Kenta Oono, et al. ∙

∙ 06/14/2022

F3 Hand: A Versatile Robot Hand Inspired by Human Thumb and Index Fingers

It is challenging to grasp numerous objects with varying sizes and shape...

0 Naoki Fukaya, et al. ∙

∙ 05/14/2022

F1 Hand: A Versatile Fixed-Finger Gripper for Delicate Teleoperation and Autonomous Grasping

Teleoperation is often limited by the ability of an operator to react an...

0 Guilherme Maeda, et al. ∙

∙ 09/28/2021

Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency

Deep learning models for semantic segmentation rely on expensive, large-...

4 Aditya Ganeshan, et al. ∙

∙ 05/27/2021

Uncertainty-Aware Self-Supervised Target-Mass Grasping of Granular Foods

Food packing industry workers typically pick a target amount of food by ...

0 Kuniyuki Takahashi, et al. ∙

∙ 06/02/2020

Meta Learning as Bayes Risk Minimization

Meta-Learning is a family of methods that use a set of interrelated task...

0 Shin-ichi Maeda, et al. ∙

∙ 11/19/2019

MANGA: Method Agnostic Neural-policy Generalization and Adaptation

In this paper we target the problem of transferring policies across mult...

23 Homanga Bharadhwaj, et al. ∙

∙ 09/20/2019

Reconnaissance and Planning algorithm for constrained MDP

Practical reinforcement learning problems are often formulated as constr...

5 Shin-ichi Maeda, et al. ∙

∙ 08/13/2019

Einconv: Exploring Unexplored Tensor Decompositions for Convolutional Neural Networks

Tensor decomposition methods are one of the primary approaches for model...

8 Kohei Hayashi, et al. ∙

∙ 05/24/2019

Robustness to Adversarial Perturbations in Learning from Incomplete Data

What is the role of unlabeled data in an inference problem, when the pre...

0 Amir Najafi, et al. ∙

∙ 02/04/2019

Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks

Recently, Graph Neural Networks (GNNs) are trending in the machine learn...

20 Katsuhiko Ishiguro, et al. ∙

∙ 10/28/2018

DQN-TAMER: Human-in-the-Loop Reinforcement Learning with Intractable Feedback

Exploration has been one of the greatest challenges in reinforcement lea...

0 Riku Arakawa, et al. ∙

∙ 07/04/2018

BayesGrad: Explaining Predictions of Graph Convolutional Networks

Recent advances in graph convolutional networks have significantly impro...

0 Hirotaka Akita, et al. ∙

∙ 05/16/2018

Neural Multi-scale Image Compression

This study presents a new lossy image compression method that utilizes t...

0 Ken Nakanishi, et al. ∙

∙ 02/21/2018

Clipped Action Policy Gradient

Many continuous control tasks have bounded action spaces and clip out-of...

0 Yasuhiro Fujita, et al. ∙

∙ 11/28/2017

Semi-supervised learning of hierarchical representations of molecules using neural message passing

With the rapid increase of compound databases available in medicinal and...

0 Hai Nguyen, et al. ∙

∙ 06/30/2017

Neural Sequence Model Training via α-divergence Minimization

We propose a new neural sequence model training method in which the obje...

0 Sotetsu Koyamada, et al. ∙

∙ 04/13/2017

Virtual Adversarial Training: a Regularization Method for Supervised and Semi-supervised Learning

We propose a new regularization method based on virtual adversarial loss...

0 Takeru Miyato, et al. ∙

∙ 09/03/2015

Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias

A common strategy for sparse linear regression is to introduce regulariz...

0 Yohei Kondo, et al. ∙

∙ 07/02/2015

Distributional Smoothing with Virtual Adversarial Training

We propose local distributional smoothness (LDS), a new notion of smooth...

0 Takeru Miyato, et al. ∙

∙ 04/22/2015

Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood

Factorized information criterion (FIC) is a recently developed approxima...

0 Kohei Hayashi, et al. ∙

∙ 12/22/2014

A Bayesian encourages dropout

Dropout is one of the key techniques to prevent the learning from overfi...

0 Shin-ichi Maeda, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world