
Visual Explanation using Attention Mechanism in ActorCriticbased Deep Reinforcement Learning
Deep reinforcement learning (DRL) has great potential for acquiring the ...
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An FPGABased OnDevice Reinforcement Learning Approach using Online Sequential Learning
DQN (Deep QNetwork) is a method to perform Qlearning for reinforcement...
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Likelihood Assignment for OutofDistribution Inputs in Deep Generative Models is Sensitive to Prior Distribution Choice
Recent work has shown that deep generative models assign higher likeliho...
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Incremental Class Discovery for Semantic Segmentation with RGBD Sensing
This work addresses the task of open world semantic segmentation using R...
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Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks
We propose Absum, which is a regularization method for improving adversa...
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A Neural Network Based Ondevice Learning Anomaly Detector for Edge Devices
Semisupervised anomaly detection is referred as an approach to identify...
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Fast Soft Color Segmentation
We address the problem of soft color segmentation, defined as decomposin...
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SLAMInspired Simultaneous Contextualization and Interpreting for Incremental Conversation Sentences
Distributed representation of words has improved the performance for man...
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Virtual Blood Vessels in Complex Background using Stereo Xray Images
We propose a fully automatic system to reconstruct and visualize 3D bloo...
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A Survey of Calibration Methods for Optical SeeThrough HeadMounted Displays
Optical seethrough headmounted displays (OST HMDs) are a major output ...
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Adaptive Learning in Cartesian Product of Reproducing Kernel Hilbert Spaces
We propose a novel adaptive learning algorithm based on iterative orthog...
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Radicallevel Ideograph Encoder for RNNbased Sentiment Analysis of Chinese and Japanese
The character vocabulary can be very large in nonalphabetic languages s...
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Estimation for highfrequency data under parametric market microstructure noise
In this paper, we propose a general class of noiserobust estimators bas...
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Software Defined Media: Virtualization of AudioVisual Services
Internetnative audiovisual services are witnessing rapid development. ...
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The bbranching problem in digraphs
In this paper, we introduce the concept of bbranchings in digraphs, whi...
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Revisiting the Vector Space Model: Sparse Weighted NearestNeighbor Method for Extreme MultiLabel Classification
Machine learning has played an important role in information retrieval (...
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MultiPass Streaming Algorithms for Monotone Submodular Function Maximization
We consider maximizing a monotone submodular function under a cardinalit...
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Fast and Accurate Semantic Mapping through Geometricbased Incremental Segmentation
We propose an efficient and scalable method for incrementally building a...
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Anticipating Traffic Accidents with Adaptive Loss and Largescale Incident DB
In this paper, we propose a novel approach for traffic accident anticipa...
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Sigsoftmax: Reanalysis of the Softmax Bottleneck
Softmax is an output activation function for modeling categorical probab...
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LaKe: An Energy Efficient, Low Latency, Accelerated KeyValue Store
Keyvalue store is a popular type of cloud computing applications. The p...
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Metric on Nonlinear Dynamical Systems with Koopman Operators
The development of a metric for structural data is a longterm problem i...
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Causal Bandits with Propagating Inference
Bandit is a framework for designing sequential experiments. In each expe...
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Continuoustime Value Function Approximation in Reproducing Kernel Hilbert Spaces
Motivated by the success of reinforcement learning (RL) for discretetim...
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Identification and Bayesian inference for heterogeneous treatment effects under nonignorable assignment condition
We provide a sufficient condition for the identification of heterogeneou...
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Bayesian Inference of Selfintention Attributed by Observer
Most of agents that learn policy for tasks with reinforcement learning (...
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Autonomous SelfExplanation of Behavior for Interactive Reinforcement Learning Agents
In cooperation, the workers must know how coworkers behave. However, an...
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MultipleInstance Learning by Boosting Infinitely Many Shapeletbased Classifiers
We propose a new formulation of MultipleInstance Learning (MIL). In typ...
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On Quasi Ordinal Diagram Systems
The purposes of this note are the following two; we first generalize Oka...
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Extracting Success from IBM's 20Qubit Machines Using ErrorAware Compilation
NISQ (Noisy, IntermediateScale Quantum) computing requires error mitiga...
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Asymptotic Distribution of the Score Test for Detecting Marks in Hawkes Processes
The asymptotic distribution of the score test of the null hypothesis tha...
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Quantum Random Numbers generated by the Cloud Superconducting Quantum Computer
A cloud quantum computer is similar to a random number generator in that...
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Nonzerosum Stackelberg Budget Allocation Game for Computational Advertising
Computational advertising has been studied to design efficient marketing...
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Shortest Reconfiguration of Perfect Matchings via Alternating Cycles
Motivated by adjacency in perfect matching polytopes, we study the short...
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SAX Navigator: Time Series Exploration through Hierarchical Clustering
Comparing many long time series is challenging to do by hand. Clustering...
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An Efficient Gibbs Sampling Algorithm for Bayesian Graphical LASSO Models with the Positive Definite Constraint on the Precision Matrix
Wang (2012) proposed a novel Gibbs sampling algorithm for Bayesian analy...
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An OnDevice Federated Learning Approach for Cooperative Anomaly Detection
Most edge AI focuses on prediction tasks on resourcelimited edge device...
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Detecting Temporal Correlation via Quantum Random Number Generation
All computing devices, including quantum computers, must exhibit that fo...
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Speech Paralinguistic Approach for Detecting Dementia Using Gated Convolutional Neural Network
We propose a noninvasive and costeffective method to automatically det...
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Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?
Despite the success of language models using neural networks, it remains...
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Logical Inferences with Comparatives and Generalized Quantifiers
Comparative constructions pose a challenge in Natural Language Inference...
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Theory and Algorithms for Shapeletbased MultipleInstance Learning
We propose a new formulation of MultipleInstance Learning (MIL), in whi...
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An FPGA Acceleration and Optimization Techniques for 2D LiDAR SLAM Algorithm
An efficient hardware design of Simultaneous Localization and Mapping (S...
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Alleviating the Burden of Labeling: Sentence Generation by Attention Branch EncoderDecoder Network
Domestic service robots (DSRs) are a promising solution to the shortage ...
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Alleviating Oversegmentation Errors by Detecting Action Boundaries
We propose an effective framework for the temporal action segmentation t...
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Market Pricing for Matroid Rank Valuations
In this paper, we study the problem of maximizing social welfare in comb...
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Entropyregularized optimal transport on multivariate normal and qnormal distributions
Distance and divergence of the probability measures play a central role ...
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Reproducing kernel Hilbert C*module and kernel mean embeddings
Kernel methods have been among the most popular techniques in machine le...
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An Overflow/UnderflowFree FixedPoint BitWidth Optimization Method for OSELM Digital Circuit
Currently there has been increasing demand for realtime training on res...
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Keio University
Keio University is a leading research university committed to excellence and innovation in education, research and medicine. It is located in central Tokyo.