02.26 arXiv 每日論文集 198 篇 02.26 更新

今日 arXiv 論文集

「今日 arXiv 論文集」是 AI 研習社論文板塊推出的全新欄目,每日為你自動抓取arXiv上更新的論文並且按照不同領域分類打包成集,方便社區用戶以最快的速度,最便捷的方式一件打包下載學術成果,獲取知識養分。

今日更新 arXiv論文集:13個


目錄

Machine Learning 53篇

一鍵打包下載:https://paper.yanxishe.com/packages/891?from=tttt0226

Computer Vision and Pattern Recognition 25篇

一鍵打包下載:https://paper.yanxishe.com/packages/887?from=tttt0226

Robotics 15篇

一鍵打包下載:https://paper.yanxishe.com/packages/895?from=tttt0226

Computation and Language 23篇

一鍵打包下載:https://paper.yanxishe.com/packages/897?from=tttt0226

Neural and Evolutionary Computing 9篇

一鍵打包下載:https://paper.yanxishe.com/packages/894?from=tttt0226

Artificial Intelligence 27篇

一鍵打包下載:https://paper.yanxishe.com/packages/885?from=tttt0226

Symbolic Computation 1篇

一鍵打包下載:https://paper.yanxishe.com/packages/896?from=tttt0226

Multimedia 2篇

一鍵打包下載:https://paper.yanxishe.com/packages/893?from=tttt0226

Multiagent Systems 5篇

一鍵打包下載:https://paper.yanxishe.com/packages/892?from=tttt0226

Information Retrieval 8篇

一鍵打包下載:https://paper.yanxishe.com/packages/890?from=tttt0226

Human-Computer Interaction 4篇

一鍵打包下載:https://paper.yanxishe.com/packages/889?from=tttt0226

Distributed, Parallel, and Cluster Computing 15篇

一鍵打包下載:https://paper.yanxishe.com/packages/888?from=tttt0226

Computer Science and Game Theory 11篇

一鍵打包下載:https://paper.yanxishe.com/packages/886?from=tttt0226


Machine Learning 53篇


arXiv 每日論文集 198 篇 02.26 更新


一鍵打包下載:https://paper.yanxishe.com/packages/891?from=tttt0226

From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI

Markov Logic Networks with Complex Weights: Expressivity, Liftability and Fourier Transforms

Injective Domain Knowledge in Neural Networks for Transprecision Computing

The Pragmatic Turn in Explainable Artificial Intelligence (XAI)

LogicGAN: Logic-guided Generative Adversarial Networks

Clustering and Classification with Non-Existence Attributes: A Sentenced Discrepancy Measure Based Technique

Lagrangian Decomposition for Neural Network Verification

The Early Phase of Neural Network Training

Learning Certified Individually Fair Representations

Adaptive Propagation Graph Convolutional Network

SupRB: A Supervised Rule-based Learning System for Continuous Problems

Rhythm, Chord and Melody Generation for Lead Sheets using Recurrent Neural Networks

Learning from Positive and Unlabeled Data with Arbitrary Positive Shift

Multi-objective Consensus Clustering Framework for Flight Search Recommendation

FR-Train: A mutual information-based approach to fair and robust training

The Archimedean trap: Why traditional reinforcement learning will probably not yield AGI

Batch Normalization Biases Deep Residual Networks Towards Shallow Paths

Learning Structured Distributions From Untrusted Batches: Faster and Simpler

Neural Message Passing on High Order Paths

Closing the convergence gap of SGD without replacement

DeepPlume: Very High Resolution Real-Time Air Quality Mapping

Semi-Supervised Neural Architecture Search

On the Sample Complexity of Adversarial Multi-Source PAC Learning

Supervised Deep Similarity Matching

The Two Regimes of Deep Network Training

A Model-Based Derivative-Free Approach to Black-Box Adversarial Examples: BOBYQA

FSinR: an exhaustive package for feature selection

Self-Adaptive Training: beyond Empirical Risk Minimization

Fair Bandit Learning with Delayed Impact of Actions

Q-learning with Uniformly Bounded Variance: Large Discounting is Not a Barrier to Fast Learning

Prediction with Corrupted Expert Advice

Using Machine Learning to predict extreme events in the Hénon map

Testing Goodness of Fit of Conditional Density Models with Kernels

Informative Gaussian Scale Mixture Priors for Bayesian Neural Networks

Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks

Handling the Positive-Definite Constraint in the Bayesian Learning Rule

ConBO: Conditional Bayesian Optimization

Near-linear Time Gaussian Process Optimization with Adaptive Batching and Resparsification

ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning

Investigating the interaction between gradient-only line searches and different activation functions

Neuron Shapley: Discovering the Responsible Neurons

Optimistic bounds for multi-output prediction

VFlow: More Expressive Generative Flows with Variational Data Augmentation

Amortised Learning by Wake-Sleep

Partially Observed Dynamic Tensor Response Regression

A New Unified Deep Learning Approach with Decomposition-Reconstruction-Ensemble Framework for Time Series Forecasting

Kernel interpolation with continuous volume sampling

SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm

Polarizing Front Ends for Robust CNNs

Knot Selection in Sparse Gaussian Processes

Computer Vision and Pattern Recognition 25篇

一鍵打包下載:https://paper.yanxishe.com/packages/887?from=tttt0226

Maximum Entropy on the Mean: A Paradigm Shift for Regularization in Image Deblurring

Boosting rare benthic macroinvertebrates taxa identification with one-class classification

Suppressing Uncertainties for Large-Scale Facial Expression Recognition

Joint Learning of Assignment and Representation for Biometric Group Membership

Comparing View-Based and Map-Based Semantic Labelling in Real-Time SLAM

Anatomy-aware 3D Human Pose Estimation in Videos

Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval

PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling

Automatic Estimation of Sphere Centers from Images of Calibrated Cameras

Mnemonics Training: Multi-Class Incremental Learning without Forgetting

ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network

Learning Attentive Pairwise Interaction for Fine-Grained Classification

3DSSD: Point-based 3D Single Stage Object Detector

Improving STDP-based Visual Feature Learning with Whitening

When Relation Networks meet GANs: Relation GANs with Triplet Loss

Semantic Flow for Fast and Accurate Scene Parsing

DeepSign: Deep On-Line Signature Verification

SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation

Robotics 15篇

一鍵打包下載:https://paper.yanxishe.com/packages/895?from=tttt0226

Robot Perception of Static and Dynamic Objects with an Autonomous Floor Scrubber

Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset

An RLS-Based Instantaneous Velocity Estimator for Extended Radar Tracking

Gaussian-Process-based Robot Learning from Demonstration

Actively Mapping Industrial Structures with Information Gain-Based Planning on a Quadruped Robot

Guided Constrained Policy Optimization for Dynamic Quadrupedal Robot Locomotion

Emulating duration and curvature of coral snake anti-predator thrashing behaviors using a soft-robotic platform

On the Forward and Backward Motion of Milli-Bristle-Bots

Estimation-aware model predictive path-following control for a general 2-trailer with a car-like tractor

VisionGuard: Runtime Detection of Adversarial Inputs to Perception Systems

Nonmyopic Gaussian Process Optimization with Macro-Actions

Particle Filter Based Monocular Human Tracking with a 3D Cardbox Model and a Novel Deterministic Resampling Strategy

Computation and Language 23篇

一鍵打包下載:https://paper.yanxishe.com/packages/897?from=tttt0226

Resources for Turkish Dependency Parsing: Introducing the BOUN Treebank and the BoAT Annotation Tool

Discriminative Adversarial Search for Abstractive Summarization

Low-Resource Knowledge-Grounded Dialogue Generation

Semi-Supervised Speech Recognition via Local Prior Matching

Word Embeddings Inherently Recover the Conceptual Organization of the Human Mind

Fixed Encoder Self-Attention Patterns in Transformer-Based Machine Translation

Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation

Predicting Subjective Features from Questions on QA Websites using BERT

GRET: Global Representation Enhanced Transformer

Do Multi-Hop Question Answering Systems Know How to Answer the Single-Hop Sub-Questions?

Fill in the BLANC: Human-free quality estimation of document summaries

Unsupervised Question Decomposition for Question Answering

Exploiting Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network

Incorporating Effective Global Information via Adaptive Gate Attention for Text Classification

Machine Translation System Selection from Bandit Feedback

Markov Chain Monte-Carlo Phylogenetic Inference Construction in Computational Historical Linguistics

Efficient Sentence Embedding via Semantic Subspace Analysis

Emergent Communication with World Models

Training Question Answering Models From Synthetic Data

Neural and Evolutionary Computing 9篇

一鍵打包下載:https://paper.yanxishe.com/packages/894?from=tttt0226

Learning Fitness Functions for Genetic Algorithms

Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks

Structural Combinatorial of Network Information System of Systems based on Evolutionary Optimization Method

Dynamic Systems Simulation and Control Using Consecutive Recurrent Neural Networks

Computer-inspired Quantum Experiments

Variance Loss in Variational Autoencoders

Crossing the Reality Gap with Evolved Plastic Neurocontrollers

Learning to Continually Learn

Artificial Intelligence 27篇

一鍵打包下載:https://paper.yanxishe.com/packages/885?from=tttt0226

From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI

KBSET -- Knowledge-Based Support for Scholarly Editing and Text Processing with Declarative LaTeX Markup and a Core Written in SWI-Prolog

Markov Logic Networks with Complex Weights: Expressivity, Liftability and Fourier Transforms

Cognitive Argumentation and the Suppression Task

Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational Embeddings

Optimizing Traffic Lights with Multi-agent Deep Reinforcement Learning and V2X communication

Signature in Counterparts, a Formal Treatment

Automatic Cost Function Learning with Interpretable Compositional Networks

Conceptual Game Expansion

The Pragmatic Turn in Explainable Artificial Intelligence (XAI)

LogicGAN: Logic-guided Generative Adversarial Networks

Clustering and Classification with Non-Existence Attributes: A Sentenced Discrepancy Measure Based Technique

Lagrangian Decomposition for Neural Network Verification

Learning Certified Individually Fair Representations

Adaptive Propagation Graph Convolutional Network

The Knowledge Graph Track at OAEI -- Gold Standards, Baselines, and the Golden Hammer Bias

Rhythm, Chord and Melody Generation for Lead Sheets using Recurrent Neural Networks

Learning from Positive and Unlabeled Data with Arbitrary Positive Shift

Multi-objective Consensus Clustering Framework for Flight Search Recommendation

FR-Train: A mutual information-based approach to fair and robust training

Neuron Shapley: Discovering the Responsible Neurons

VFlow: More Expressive Generative Flows with Variational Data Augmentation

Symbolic Computation 1篇

一鍵打包下載:https://paper.yanxishe.com/packages/896?from=tttt0226

Fast in-place algorithms for polynomial operations: division, evaluation, interpolation

Multimedia 2篇

一鍵打包下載:https://paper.yanxishe.com/packages/893?from=tttt0226

Multi-Representation Knowledge Distillation For Audio Classification

DECIBEL: Improving Audio Chord Estimation for Popular Music by Alignment and Integration of Crowd-Sourced Symbolic Representations

Multiagent Systems 5篇

一鍵打包下載:https://paper.yanxishe.com/packages/892?from=tttt0226

My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits

A characterization of proportionally representative committees

iLQGames.jl: Rapidly Designing and Solving Differential Games in Julia

Optimal strategies in the Fighting Fantasy gaming system: influencing stochastic dynamics by gambling with limited resource

APAC-Net: Alternating the Population and Agent Control via Two Neural Networks to Solve High-Dimensional Stochastic Mean Field Games

Information Retrieval 8篇

一鍵打包下載:https://paper.yanxishe.com/packages/890?from=tttt0226

ArcText: An Unified Text Approach to Describing Convolutional Neural Network Architectures

Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning

Relaxing Relationship Queries on Graph Data

Deep Multimodal Image-Text Embeddings for Automatic Cross-Media Retrieval

Semantic, Efficient, and Secure Search over Encrypted Cloud Data

A Nepali Rule Based Stemmer and its performance on different NLP applications

Interpretable Crowd Flow Prediction with Spatial-Temporal Self-Attention

Human-Computer Interaction 4篇

一鍵打包下載:https://paper.yanxishe.com/packages/889?from=tttt0226

Imagining Data-Objects for Reflective Self-Tracking

Emosaic: Visualizing Affective Content of Text at Varying Granularity

Path Outlines: Browsing Path-Based Summaries of Linked Open Datasets

ORCSolver: An Efficient Solver for Adaptive GUI Layout with OR-Constraints

Distributed, Parallel, and Cluster Computing 15篇

一鍵打包下載:https://paper.yanxishe.com/packages/888?from=tttt0226

Specializing Coherence, Consistency, and Push/Pull for GPU Graph Analytics

Communication Contention Aware Scheduling of Multiple Deep Learning Training Jobs

Optimizing High Performance Markov Clustering for Pre-Exascale Architectures

Distributed Quantum Proofs for Replicated Data

Quantized Push-sum for Gossip and Decentralized Optimization over Directed Graphs

Improved MPC Algorithms for MIS, Matching, and Coloring on Trees and Beyond

Performance / Complexity Trade-offs of the Sphere Decoder Algorithm for Massive MIMO Systems

Evaluation of Automatic FPGA Offloading for Loop Statements of Applications

TFApprox: Towards a Fast Emulation of DNN Approximate Hardware Accelerators on GPU

Graph Computing based Distributed State Estimation with PMUs

Parallel Clique Counting and Peeling Algorithms

Communication-Efficient Decentralized Learning with Sparsification and Adaptive Peer Selection

Overlap Local-SGD: An Algorithmic Approach to Hide Communication Delays in Distributed SGD

Robust Numerical Tracking of One Path of a Polynomial Homotopy on Parallel Shared Memory Computers

Computer Science and Game Theory 11篇

一鍵打包下載:https://paper.yanxishe.com/packages/886?from=tttt0226

Spatial-Temporal Moving Target Defense: A Markov Stackelberg Game Model

A Probabilistic Approach to Voting, Allocation, Matching, and Coalition Formation

Optimal Advertising for Information Products

A Bridge between Polynomial Optimization and Games with Imperfect Recall

My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits

A characterization of proportionally representative committees

Feedback game on Eulerian graphs

How Good Is a Strategy in a Game With Nature?

Online Stochastic Max-Weight Matching: prophet inequality for vertex and edge arrival models

Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games

FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC


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