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
目录
Machine Learning 48篇
一键打包下载： https://paper.yanxishe.com/packages/904?from=tttt0227
Computer Vision and Pattern Recognition 23篇
一键打包下载： https://paper.yanxishe.com/packages/900?from=tttt0227
Computation and Language 16篇
一键打包下载： https://paper.yanxishe.com/packages/909?from=tttt0227
Robotics 16篇
一键打包下载： https://paper.yanxishe.com/packages/908?from=tttt0227
Human-Computer Interaction 10篇
一键打包下载： https://paper.yanxishe.com/packages/902?from=tttt0227
Artificial Intelligence 19篇
一键打包下载： https://paper.yanxishe.com/packages/898?from=tttt0227
Neural and Evolutionary Computing 5篇
一键打包下载： https://paper.yanxishe.com/packages/907?from=tttt0227
Multimedia 2篇
一键打包下载： https://paper.yanxishe.com/packages/906?from=tttt0227
Multiagent Systems 4篇
一键打包下载： https://paper.yanxishe.com/packages/905?from=tttt0227
Information Retrieval 1篇
一键打包下载： https://paper.yanxishe.com/packages/903?from=tttt0227
Distributed, Parallel, and Cluster Computing 11篇
一键打包下载： https://paper.yanxishe.com/packages/901?from=tttt0227
Computer Science and Game Theory 5篇
一键打包下载： https://paper.yanxishe.com/packages/899?from=tttt0227
Machine Learning 48篇
一键打包下载：https://paper.yanxishe.com/packages/904?from=tttt0227
Problems with Shapley-value-based explanations as feature importance measures
Turning 30: New Ideas in Inductive Logic Programming
AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms
Counterfactual fairness: removing direct effects through regularization
Injecting Domain Knowledge in Neural Networks: a Controlled Experiment on a Constrained Problem
Forming Diverse Teams from Sequentially Arriving People
Efficient exploration of zero-sum stochastic games
On Feature Normalization and Data Augmentation
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
Breaking Batch Normalization for better explainability of Deep Neural Networks through Layer-wise Relevance Propagation
Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction
G-Learner and GIRL: Goal Based Wealth Management with Reinforcement Learning
A Deep Learning Framework for Simulation and Defect Prediction Applied in Microelectronics
Fault Diagnosis in Microelectronics Attachment via Deep Learning Analysis of 3D Laser Scans
Reinforcement Learning Framework for Deep Brain Stimulation Study
Freeze Discriminator: A Simple Baseline for Fine-tuning GANs
Optimal Gradient Quantization Condition for Communication-Efficient Distributed Training
The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization
Relevant-features based Auxiliary Cells for Energy Efficient Detection of Natural Errors
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks
Adaptive Distributed Stochastic Gradient Descent for Minimizing Delay in the Presence of Stragglers
Towards an Efficient and General Framework of Robust Training for Graph Neural Networks
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees
Diversity-Based Generalization for Neural Unsupervised Text Classification under Domain Shift
General Framework for Binary Classification on Top Samples
Human Apprenticeship Learning via Kernel-based Inverse Reinforcement Learning
Robust Estimation, Prediction and Control with Linear Dynamics and Generic Costs
Sequence-to-Sequence Imputation of Missing Sensor Data
Teaching the Old Dog New Tricks: Supervised Learning with Constraints
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration
(De)Randomized Smoothing for Certifiable Defense against Patch Attacks
Understanding and Mitigating the Tradeoff Between Robustness and Accuracy
Searching for Winograd-aware Quantized Networks
Gödel's Sentence Is An Adversarial Example But Unsolvable
Novel Change of Measure Inequalities and PAC-Bayesian Bounds
Coherent Gradients: An Approach to Understanding Generalization in Gradient Descent-based Optimization
A General Method for Robust Learning from Batches
Causal Inference With Selectively-Deconfounded Data
Gaussian Hierarchical Latent Dirichlet Allocation: Bringing Polysemy Back
Missing Data Imputation for Classification Problems
Statistical Adaptive Stochastic Gradient Methods
Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks
Regression with Deep Learning for Sensor Performance Optimization
Performance Analysis of Combine Harvester using Hybrid Model of Artificial Neural Networks Particle Swarm Optimization
A study of resting-state EEG biomarkers for depression recognition
Recalibrating 3D ConvNets with Project & Excit
Computer Vision and Pattern Recognition 23篇
一键打包下载：https://paper.yanxishe.com/packages/900?from=tttt0227
Toward fast and accurate human pose estimation via soft-gated skip connections
Model Watermarking for Image Processing Networks
DDet: Dual-path Dynamic Enhancement Network for Real-World Image Super-Resolution
Ground Texture Based Localization Using Compact Binary Descriptors
See, Attend and Brake: An Attention-based Saliency Map Prediction Model for End-to-End Driving
MagnifierNet: Towards Semantic Regularization and Fusion for Person Re-identification
Freeze Discriminator: A Simple Baseline for Fine-tuning GANs
Online Semantic Exploration of Indoor Maps
Applying Rule-Based Context Knowledge to Build Abstract Semantic Maps of Indoor Environments
Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstruction
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
Cross-layer Feature Pyramid Network for Salient Object Detection
Circle Loss: A Unified Perspective of Pair Similarity Optimization
Optimal least-squares solution to the hand-eye calibration problem
Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective
Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis
Fully-automated Body Composition Analysis in Routine CT Imaging Using 3D Semantic Segmentation Convolutional Neural Networks
ScopeFlow: Dynamic Scene Scoping for Optical Flow
MPM: Joint Representation of Motion and Position Map for Cell Tracking
FPConv: Learning Local Flattening for Point Convolution
Hierarchical Conditional Relation Networks for Video Question Answering
Globally Optimal Contrast Maximisation for Event-based Motion Estimation
Computation and Language 16篇
一键打包下载：https://paper.yanxishe.com/packages/909?from=tttt0227
On Feature Normalization and Data Augmentation
Semantic Relatedness for Keyword Disambiguation: Exploiting Different Embeddings
A more abstractive summarization model
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
Detecting Asks in SE attacks: Impact of Linguistic and Structural Knowledge
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification
Small-Footprint Open-Vocabulary Keyword Spotting with Quantized LSTM Networks
BERT Can See Out of the Box: On the Cross-modal Transferability of Text Representations
MuST-Cinema: a Speech-to-Subtitles corpus
Label-guided Learning for Text Classification
Event Detection with Relation-Aware Graph Convolutional Neural Networks
End-to-end Emotion-Cause Pair Extraction via Learning to Link
Multimodal Transformer with Pointer Network for the DSTC8 AVSD Challenge
Exploring BERT Parameter Efficiency on the Stanford Question Answering Dataset v2.0
Parsing Early Modern English for Linguistic Search
Automating Discovery of Dominance in Synchronous Computer-Mediated Communication
Robotics 16篇
一键打包下载：https://paper.yanxishe.com/packages/908?from=tttt0227
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
Human Perception-Optimized Planning for Comfortable VR-Based Telepresence
Least Squares Optimization: from Theory to Practice
Safe Optimal Control under Parametric Uncertainties
Non-Gaussian Chance-Constrained Trajectory Planning for Autonomous Vehicles in the Presence of Uncertain Agents
Learning Machines from Simulation to Real World
Denoising IMU Gyroscopes with Deep Learning for Open-Loop Attitude Estimation
Alternating Minimization Based Trajectory Generation for Quadrotor Aggressive Flight
Feasible Computationally Efficient Path Planning for UAV Collision Avoidance
Estimating Human Teleoperator Posture Using Only a Haptic-Input Device
Optimisation of Body-ground Contact for Augmenting Whole-Body Loco-manipulation of Quadruped Robots
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training
Fast Loop Closure Detection via Binary Content
Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements
Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving Images
Experiments with Tractable Feedback in Robotic Planning under Uncertainty: Insights over a wide range of noise regimes
Human-Computer Interaction 10篇
一键打包下载：https://paper.yanxishe.com/packages/902?from=tttt0227
Role of Intrinsic Motivation in User Interface Design to Enhance Worker Performance in Amazon MTurk
What do crowd workers think about creative work?
Toward dynamical crowd control to prevent hazardous situations
Optimizing User Interface Layouts via Gradient Descent
On-Orbit Operations Simulator for Workload Measurement during Telerobotic Training
The Effects Of Technology Driven Information Categories On Performance In Electronic Trading Markets
A Visual Analytics System for Multi-model Comparison on Clinical Data Predictions
Human Perception-Optimized Planning for Comfortable VR-Based Telepresence
Estimating Human Teleoperator Posture Using Only a Haptic-Input Device
Artificial Intelligence 19篇
一键打包下载：https://paper.yanxishe.com/packages/898?from=tttt0227
Problems with Shapley-value-based explanations as feature importance measures
Turning 30: New Ideas in Inductive Logic Programming
AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms
Counterfactual fairness: removing direct effects through regularization
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms
Injecting Domain Knowledge in Neural Networks: a Controlled Experiment on a Constrained Problem
Forming Diverse Teams from Sequentially Arriving People
Declarative Memory-based Structure for the Representation of Text Data
A Double Q-Learning Approach for Navigation of Aerial Vehicles with Connectivity Constraint
Efficient exploration of zero-sum stochastic games
Neural Lyapunov Model Predictive Control
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
Breaking Batch Normalization for better explainability of Deep Neural Networks through Layer-wise Relevance Propagation
Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction
Reinforcement Learning Framework for Deep Brain Stimulation Study
Data Augmentation for Personal Knowledge Graph Population
Planning for Compilation of a Quantum Algorithm for Graph Coloring
Facets of the PIE Environment for Proving, Interpolating and Eliminating on the Basis of First-Order Logic
Teaching the Old Dog New Tricks: Supervised Learning with Constraints
Neural and Evolutionary Computing 5篇
一键打包下载：https://paper.yanxishe.com/packages/907?from=tttt0227
An Assignment Problem Formulation for Dominance Move Indicator
Separating the Effects of Batch Normalization on CNN Training Speed and Stability Using Classical Adaptive Filter Theory
Non-Volatile Memory Array Based Quantization- and Noise-Resilient LSTM Neural Networks
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity
Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent
Multimedia 2篇
一键打包下载：https://paper.yanxishe.com/packages/906?from=tttt0227
A Comparative Evaluation of Temporal Pooling Methods for Blind Video Quality Assessment
Rate Distortion Optimized Joint Bit Allocation between Geometry and Color for Video-based 3D Point Cloud Compression
Multiagent Systems 4篇
一键打包下载：https://paper.yanxishe.com/packages/905?from=tttt0227
Inducing Equilibria in Networked Public Goods Games through Network Structure Modification
Toward dynamical crowd control to prevent hazardous situations
RMB-DPOP: Refining MB-DPOP by Reducing Redundant Inferences
Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic
Information Retrieval 1篇
一键打包下载：https://paper.yanxishe.com/packages/903?from=tttt0227
Abstractive Snippet Generation
Distributed, Parallel, and Cluster Computing 11篇
一键打包下载：https://paper.yanxishe.com/packages/901?from=tttt0227
A$^3$: Accelerating Attention Mechanisms in Neural Networks with Approximation
Combining Learning and Optimization for Transprecision Computing
Near Optimal Task Graph Scheduling with Priced Timed Automata and Priced Timed Markov Decision Processes
Distributed Edge Coloring in Time Quasi-Polylogarithmic in Delta
Analysis of Amnesiac Flooding
Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition
Optimal Gradient Quantization Condition for Communication-Efficient Distributed Training
Efficient and Simple Algorithms for Fault Tolerant Spanners
Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization
Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework
Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art
Computer Science and Game Theory 5篇
一键打包下载：https://paper.yanxishe.com/packages/899?from=tttt0227
Hedonic Seat Arrangement Problems
Fair and Truthful Mechanisms for Dichotomous Valuations
Binary Scoring Rules that Incentivize Precision
Double-Spend Counterattacks: Threat of Retaliation in Proof-of-Work Systems
Inducing Equilibria in Networked Public Goods Games through Network Structure Modification
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