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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...
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06/19/2023
Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics
Identifying the relationship between healthcare attributes, lifestyles, ...
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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...
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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...
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09/28/2021
Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency
Deep learning models for semantic segmentation rely on expensive, large-...
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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 ...
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06/02/2020
Meta Learning as Bayes Risk Minimization
Meta-Learning is a family of methods that use a set of interrelated task...
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11/19/2019
MANGA: Method Agnostic Neural-policy Generalization and Adaptation
In this paper we target the problem of transferring policies across mult...
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09/20/2019
Reconnaissance and Planning algorithm for constrained MDP
Practical reinforcement learning problems are often formulated as constr...
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08/13/2019
Einconv: Exploring Unexplored Tensor Decompositions for Convolutional Neural Networks
Tensor decomposition methods are one of the primary approaches for model...
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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...
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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...
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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...
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07/04/2018
BayesGrad: Explaining Predictions of Graph Convolutional Networks
Recent advances in graph convolutional networks have significantly impro...
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05/16/2018
Neural Multi-scale Image Compression
This study presents a new lossy image compression method that utilizes t...
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02/21/2018
Clipped Action Policy Gradient
Many continuous control tasks have bounded action spaces and clip out-of...
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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...
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06/30/2017
Neural Sequence Model Training via α-divergence Minimization
We propose a new neural sequence model training method in which the obje...
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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...
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09/03/2015
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias
A common strategy for sparse linear regression is to introduce regulariz...
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07/02/2015
Distributional Smoothing with Virtual Adversarial Training
We propose local distributional smoothness (LDS), a new notion of smooth...
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04/22/2015
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood
Factorized information criterion (FIC) is a recently developed approxima...
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12/22/2014