今日 arXiv 论文集

「今日 arXiv 论文集」是 AI 研习社论文板块推出的全新栏目，每日为你自动抓取arXiv上更新的论文并且按照不同领域分类打包成集，方便社区用户以最快的速度，最便捷的方式一件打包下载学术成果，获取知识养分。

今日更新 arXiv论文集：12 个

今日更新 arXiv论文： 134篇

目录

Neural and Evolutionary Computing 3篇

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Distributed, Parallel, and Cluster Computing 12篇

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Symbolic Computation 1篇

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Multiagent Systems 3篇

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Human-Computer Interaction 5篇

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Computer Science and Game Theory 4篇

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Information Retrieval 1篇

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Machine Learning 39篇

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Computer Vision and Pattern Recognition 22篇

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Artificial Intelligence 25篇

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Robotics 12篇

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Computation and Language 7篇

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Neural and Evolutionary Computing 3篇

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Synaptic Integration of Spatiotemporal Features with a Dynamic Neuromorphic Processor

Neuroevolution of Neural Network Architectures Using CoDeepNEAT and Keras

fastai: A Layered API for Deep Learning

Distributed, Parallel, and Cluster Computing 12篇

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Towards Federated Learning: Robustness Analytics to Data Heterogeneity

Parallel Direct Domain Decomposition Methods (D3M) for Finite Elements

CROFT: A scalable three-dimensional parallel Fast Fourier Transform (FFT) implementation for High Performance Clusters

Energy Efficient Algorithms based on VM Consolidation for Cloud Computing: Comparisons and Evaluations

Batch-dynamic Algorithms via Parallel Change Propagation and Applications to Dynamic Trees

Uniform Linked Lists Contraction

Task-based, GPU-accelerated and Robust Library for Solving Dense Nonsymmetric Eigenvalue Problems

Eigenvector Component Calculation Speedup over NumPy for High Performance Computing

Federated Clustering via Matrix Factorization Models: From Model Averaging to Gradient Sharing

Distributed and Adaptive Fast Multipole Method In Three Dimensions

Symbolic Computation 1篇

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Smooth Points on Semi-algebraic Sets

Multiagent Systems 3篇

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Fast Complete Algorithm for Multiplayer Nash Equilibrium

Multi-Agent Reinforcement Learning and Human Social Factors in Climate Change Mitigation

Learning Graph Influence from Social Interactions

Human-Computer Interaction 5篇

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Dandelion Diagram: Aggregating Positioning and Orientation Data in the Visualization of Classroom Proxemics

C-D Ratio in multi-display environments

A Single RGB Camera Based Gait Analysis with a Mobile Tele-Robot for Healthcare

Can I Trust You? A User Study of Robot Mediation of a Support Group

Ask the Experts: What Should Be on an IoT Privacy and Security Label?

Computer Science and Game Theory 4篇

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EFX Exists for Three Agents

Fast Complete Algorithm for Multiplayer Nash Equilibrium

A Receding-Horizon MDP Approach for Performance Evaluation of Moving Target Defense in Networks

NP Reasoning in the Monotone $μ$-Calculus

Information Retrieval 1篇

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Two Huge Title and Keyword Generation Corpora of Research Articles

Machine Learning 39篇

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Self-explainability as an alternative to interpretability for judging the trustworthiness of artificial intelligences

Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies

PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators

dtControl: Decision Tree Learning Algorithms for Controller Representation

Learning Flat Latent Manifolds with VAEs

Convex Density Constraints for Computing Plausible Counterfactual Explanations

Reward-rational (implicit) choice: A unifying formalism for reward learning

Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network

The Unreasonable Effectiveness of Deep Learning in Artificial Intelligence

Learnable Bernoulli Dropout for Bayesian Deep Learning

Efficient Policy Learning from Surrogate-Loss Classification Reductions

A General Framework to Analyze Stochastic Linear Bandit

Online Learning of the Kalman Filter with Logarithmic Regret

Regret Bounds for Discounted MDPs

Provably Convergent Policy Gradient Methods for Model-Agnostic Meta-Reinforcement Learning

Patternless Adversarial Attacks on Video Recognition Networks

Compressive Learning of Generative Networks

Efficient Structure-preserving Support Tensor Train Machine

Goldilocks Neural Networks

Differentiable Graph Module (DGM) Graph Convolutional Networks

Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles

Ensemble of Sparse Gaussian Process Experts for Implicit Surface Mapping with Streaming Data

Efficient active learning of sparse halfspaces with arbitrary bounded noise

LaProp: a Better Way to Combine Momentum with Adaptive Gradient

Lookahead: a Far-Sighted Alternative of Magnitude-based Pruning

Topologically Densified Distributions

Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence

Weighted Empirical Risk Minimization: Sample Selection Bias Correction based on Importance Sampling

Development of modeling and control strategies for an approximated Gaussian process

Regret Bounds for Noise-Free Bayesian Optimization

Structure-Property Maps with Kernel Principal Covariates Regression

Sparse Recovery With Non-Linear Fourier Features

Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent

Improved Consistency Regularization for GANs

Large Scale Tensor Regression using Kernels and Variational Inference

List-Decodable Subspace Recovery via Sum-of-Squares

Machine-Learning-Based Diagnostics of EEG Pathology

x-vectors meet emotions: A study on dependencies between emotion and speaker recognition

Active Learning for Sound Event Detection

Computer Vision and Pattern Recognition 22篇

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Rembrandts and Robots: Using Neural Networks to Explore Authorship in Painting

AlignNet: A Unifying Approach to Audio-Visual Alignment

Detect and Correct Bias in Multi-Site Neuroimaging Datasets

Intra-Camera Supervised Person Re-Identification

Learning light field synthesis with Multi-Plane Images: scene encoding as a recurrent segmentation task

Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis

Hierarchical Auto-Regressive Model for Image Compression Incorporating Object Saliency and a Deep Perceptual Loss

Towards Precise Intra-camera Supervised Person Re-identification

Bi-Directional Generation for Unsupervised Domain Adaptation

Analysis Of Multi Field Of View Cnn And Attention Cnn On H&E Stained Whole-slide Images On Hepatocellular Carcinoma

End-to-End Face Parsing via Interlinked Convolutional Neural Networks

Uniform Interpolation Constrained Geodesic Learning on Data Manifold

Deep-HR: Fast Heart Rate Estimation from Face Video Under Realistic Conditions

A Visual-inertial Navigation Method for High-Speed Unmanned Aerial Vehicles

MFFW: A new dataset for multi-focus image fusion

Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space

Progressive Object Transfer Detection

Improving Place Recognition Using Dynamic Object Detection

Learning spatio-temporal representations with temporal squeeze pooling

Object Detection as a Positive-Unlabeled Problem

Validating uncertainty in medical image translation

Finding novelty with uncertainty

Artificial Intelligence 25篇

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Self-explainability as an alternative to interpretability for judging the trustworthiness of artificial intelligences

Recursed is not Recursive: A Jarring Result

Using Automated Theorem Provers for Mistake Diagnosis in the Didactics of Mathematics

A Bayesian Approach to Conversational Recommendation Systems

Service Selection using Predictive Models and Monte-Carlo Tree Search

Approximate MMAP by Marginal Search

Mech-Elites: Illuminating the Mechanic Space of GVGAI

Bi-objective Optimization of Biclustering with Binary Data

Public Bayesian Persuasion: Being Almost Optimal and Almost Persuasive

Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies

Component Analysis for Visual Question Answering Architectures

Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models

PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators

Real-Time Semantic Background Subtraction

dtControl: Decision Tree Learning Algorithms for Controller Representation

Joint Embedding in Named Entity Linking on Sentence Level

A Zero-Shot based Fingerprint Presentation Attack Detection System

Learning Flat Latent Manifolds with VAEs

Convex Density Constraints for Computing Plausible Counterfactual Explanations

The {0,1}-knapsack problem with qualitative levels

Reward-rational (implicit) choice: A unifying formalism for reward learning

Utilizing BERT Intermediate Layers for Aspect Based Sentiment Analysis and Natural Language Inference

Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network

The Unreasonable Effectiveness of Deep Learning in Artificial Intelligence

ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems

Robotics 12篇

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A Single RGB Camera Based Gait Analysis with a Mobile Tele-Robot for Healthcare

Can I Trust You? A User Study of Robot Mediation of a Support Group

Fast Generation of High Fidelity RGB-D Images by Deep-Learning with Adaptive Convolution

Recreating Bat Behavior on Quad-rotor UAVs-A Simulation Approach

GRASPA 1.0: GRASPA is a Robot Arm graSping Performance benchmArk

On Rearrangement of Items Stored in Stacks

Fast Planning Over Roadmaps via Selective Densification

Robust Vision-based Obstacle Avoidance for Micro Aerial Vehicles in Dynamic Environments

Force-Sensor-Less Bilateral Teleoperation Control of Dissimilar Master-Slave System with Arbitrary Scaling

Computing the racing line using Bayesian optimization

Dynamically Reconfigurable Discrete Distributed Stiffness for Inflated Beam Robots

Branch-and-Bound Method for Just-in-Time Optimization of Radar Search Patterns

Computation and Language 7篇

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Adjusting Image Attributes of Localized Regions with Low-level Dialog

Constructing a Highlight Classifier with an Attention Based LSTM Neural Network

Attentional Speech Recognition Models Misbehave on Out-of-domain Utterances

DeepMutation: A Neural Mutation Tool

On Layer Normalization in the Transformer Architecture

Superbloom: Bloom filter meets Transformer

A Non-Intrusive Correction Algorithm for Classification Problems with Corrupted Data