yusuke1997/dblp-id-title huggingface dataset:
Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks
Low-Light Video Enhancement with Synthetic Event Guidance
An Effective Algorithm for Project Scheduling with Arbitrary Temporal Constraints
The Induction and Transfer of Declarative Bias
Iterative Continuous Convolution for 3D Template Matching and Global Localization
Correct for Whom? Subjectivity and the Evaluation of Personalized Image Aesthetics Assessment Models
Attention-Based Transformation from Latent Features to Point Clouds
Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition
Help Me Heal: A Reinforced Polite and Empathetic Mental Health and Legal Counseling Dialogue System for Crime Victims
Simple Bayesian Classifiers Do Not Assume Independence
Video Compression Artifact Reduction by Fusing Motion Compensation and Global Context in a Swin-CNN Based Parallel Architecture
A Propagator Design Framework for Constraints over Sequences
Learning Causal Models for Noisy Biological Data Mining: An Application to Ovarian Cancer Detection
Explaining Image Classifiers Generating Exemplars and Counter-Exemplars from Latent Representations
Improving Rule-Based Systems Through Case-Based Reasoning
SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis
Label Smoothing for Emotion Detection (Student Abstract)
Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization
Compilation of Aggregates in ASP Systems
End-to-End Pipeline for Trigger Detection on Hit and Track Graphs
Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis
HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning
Empirical Bounds on Linear Regions of Deep Rectifier Networks
Context-Aware Analysis of Group Submissions for Group Anomaly Detection and Performance Prediction
The Impact of Balancing on Problem Hardness in a Highly Structured Domain
Activity Planning for a Lunar Orbital Mission
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment
Economic Possibilities for Our Children: Artificial Intelligence and the Future of Work, Education, and Leisure
Mapping Action Language BC to Logic Programs: A Characterization by Postulates
Training a Resilient Q-network against Observational Interference
Simulating Creativity in Jazz Performance
I Am Guessing You Can't Recognize This: Generating Adversarial Images for Object Detection Using Spatial Commonsense (Student Abstract)
Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring
Integrating Rules in Term Subsumption Knowledge Representation Servers
New Worst-Case Upper Bound for #2-SAT and #3-SAT with the Number of Clauses as the Parameter
Election Control in Social Networks via Edge Addition or Removal
Online Ensemble Learning
Tackling Vision Language Tasks through Learning Inner Monologues
YTCommentQA: Video Question Answerability in Instructional Videos
Progressive Rademacher Sampling
Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism
Iterative Utterance Segmentation for Neural Semantic Parsing
Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition
ARDIAS: AI-Enhanced Research Management, Discovery, and Advisory System
Reasoning About Grasping
Resolving Over-Constrained Probabilistic Temporal Problems through Chance Constraint Relaxation
Point Cloud Semantic Segmentation with Sparse and Inhomogeneous Annotations
Cupid: Commitments in Relational Algebra
A New Approach to Rule Interest Measures
Robust Execution Strategies for Probabilistic Temporal Planning
Classifying and Recovering from Sensing Failures in Autonomous Mobile Robots
Zero-Cost Operation Scoring in Differentiable Architecture Search
Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucinations
Conformal Prediction for Partial Label Learning
A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments
Defining Human Values for Value Learners
From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets
Comprehensive Visual Grounding for Video Description
Learning Structured Embeddings of Knowledge Bases
Safebot: A Safe Collaborative Chatbot
A Neural Network Approach to Verb Phrase Ellipsis Resolution
Joint Entity and Relation Extraction with a Hybrid Transformer and Reinforcement Learning Based Model
Ontologies and Representations of Matter
Causal Pathways of Rational Action
Hypergraph Neural Architecture Search
Efficiently Enhancing Long-term Series Forecasting via Ultra-long Lookback Windows
Multiparty Proactive Communication: A Perspective for Evolving Shared Mental Models
Smooth Deep Image Generator from Noises
Patched Line Segment Learning for Vector Road Mapping
Byzantine-Robust Decentralized Learning via Remove-then-Clip Aggregation
RRL: Regional Rotate Layer in Convolutional Neural Networks
SharpSSAT: A Witness-Generating Stochastic Boolean Satisfiability Solver
Relaxation Search: A Simple Way of Managing Optional Clauses
Tandem Inference: An Out-of-Core Streaming Algorithm for Very Large-Scale Relational Inference
Consensus Adversarial Domain Adaptation
PantheonRL: A MARL Library for Dynamic Training Interactions
Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs
FedProto: Federated Prototype Learning across Heterogeneous Clients
Solving 4x5 Dots-And-Boxes
MS-HGAT: Memory-Enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction
A Stackelberg Game Model for Botnet Traffic Exfiltration
Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning
MultiADD: A Multiagent Active Design Document Model to Support Group Design
Soft Facial Landmark Detection by Label Distribution Learning
Joint Object and Pose Recognition Using Homeomorphic Manifold Analysis
Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction
Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks
IPUS: An Architecture for Integrated Signal Processing and Signal Interpretation in Complex Environments
Skolem Functions and Equality in Automated Deduction
Learning Together Securely: Prototype-Based Federated Multi-Modal Hashing for Safe and Efficient Multi-Modal Retrieval
Learning Mixture of Domain-Specific Experts via Disentangled Factors for Autonomous Driving
A Cognitively Plausible Approach to Understanding Complex Syntax
TrustUQA: A Trustful Framework for Unified Structured Data Question Answering
Cirbo: A New Tool for Boolean Circuit Analysis and Synthesis
NeuroNavigator: A Hippocampus-Inspired Cognitive Architecture for Spiking Network Implementation
Implicit Coordination in Crowded Multi-Agent Navigation
SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation
SimCTC: A Simple Contrast Learning Method of Text Clustering (Student Abstract)
Coarse Correlation in Extensive-Form Games
User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization
SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical Data
Subjective Trust Inference in Composite Services
Semantic Inference at the Lexical-Syntactic Level
Multi-Channel Convolutional Neural Networks with Adversarial Training for Few-Shot Relation Classification (Student Abstract)
Maximum Causal Entropy Correlated Equilibria for Markov Games
Viewing Traffic Signal Control as a Market-Driven Economy
Reject Decoding via Language-Vision Models for Text-to-Image Synthesis
Technology of Active Objects
When AWGN-Based Denoiser Meets Real Noises
Heterogeneous-Branch Collaborative Learning for Dialogue Generation
On Machine Learning towards Predictive Sales Pipeline Analytics
A General Formal Framework for Pathfinding Problems with Multiple Agents
Negotiation and Conflict Resolution in Non-Cooperative Domains
SHUNIT: Style Harmonization for Unpaired Image-to-Image Translation
Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax
Transfer Learning via Dimensionality Reduction
Editing Boolean Classifiers: A Belief Change Perspective
Cellular Network Traffic Scheduling With Deep Reinforcement Learning
A Multivariate Complexity Analysis of Lobbying in Multiple Referenda
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains
Traffic Intersections of the Future
Viral Clustering: A Robust Method to Extract Structures in Heterogeneous Datasets
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling
Ad Hoc Attribute-Value Prediction
Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits
Convergence Properties of (μ + λ) Evolutionary Algorithms
Equity Promotion in Online Resource Allocation
FlowFace: Semantic Flow-Guided Shape-Aware Face Swapping
Topical Phrase Extraction from Clinical Reports by Incorporating both Local and Global Context
Enhanced Multi-Relationships Integration Graph Convolutional Network for Inferring Substitutable and Complementary Items
Learning by Transferring from Unsupervised Universal Sources
Measuring Plan Diversity: Pathologies in Existing Approaches and A New Plan Distance Metric
Dynamic Sampling Network for Semantic Segmentation
Reactive Dialectic Search Portfolios for MaxSAT
What criminal and civil law tells us about Safe RL techniques to generate law-abiding behaviour
Expected Gains from Parallelizing Constraint Solving for Hard Problems
Lock-Free Optimization for Non-Convex Problems
Towards Learning and Explaining Indirect Causal Effects in Neural Networks
Count What You Want: Exemplar Identification and Few-Shot Counting of Human Actions in the Wild
Autonomous Subgoal Discovery and Hierarchical Abstraction for Reinforcement Learning Using Monte Carlo Method
TransPath: Learning Heuristics for Grid-Based Pathfinding via Transformers
Leveraging Observations in Bandits: Between Risks and Benefits
Multi-modal User Intent Classification Under the Scenario of Smart Factory (Student Abstract)
Proposal-Free Video Grounding with Contextual Pyramid Network
Measuring Synergy from Benevolence in a Network Organization
Efficient Active Fusion for Decision-Making via VOI Approximation
Zero-Resource Neural Machine Translation with Multi-Agent Communication Game
Graph-Based Cross-Domain Knowledge Distillation for Cross-Dataset Text-to-Image Person Retrieval
Data Perturbation for Escaping Local Maxima in Learning
Qualitative Reasoning with Modelica Models
MAPF Scenario: Software for Evaluating MAPF Plans on Real Robots
A Sharper Generalization Bound for Divide-and-Conquer Ridge Regression
Gradient Descent with Proximal Average for Nonconvex and Composite Regularization
Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification
RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications
MDPGT: Momentum-Based Decentralized Policy Gradient Tracking
Data-Driven Ranking and Visualization of Products by Competitiveness
Using Specialists to Accelerate General Reasoning
Improving Convergence of CMA-ES Through Structure-Driven Discrete Recombination
Teaching Undergraduate Artificial Intelligence Classes: An Experiment with an Attendance Requirement
Prediction-Based Adaptive Variable Ordering Heuristics for Constraint Satisfaction Problems
What's in a Fuzzy Set?
Understanding Emerging Spatial Entities
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting
Offline and Online Optical Flow Enhancement for Deep Video Compression
DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks
On the Synthesis of Useful Social Laws for Artificial Agent Societies (Preliminary Report)
"Small-World" Networks of Mobile Robots
Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification
VModel: A Visual Qualitative Modeling Environment for Middle-School Students
General Policies, Representations, and Planning Width
Semantic Convergence: Harmonizing Recommender Systems via Two-Stage Alignment and Behavioral Semantic Tokenization
Efficient Probabilistic Inference for Dynamic Relational Models
A Modal Logic for Beliefs and Pro Attitudes
Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination
ReactGPT: Understanding of Chemical Reactions via In-Context Tuning
PAC Optimal Planning for Invasive Species Management: Improved Exploration for Reinforcement Learning from Simulator-Defined MDPs
NeuralFlix: A Simple While Effective Framework for Semantic Decoding of Videos from Non-invasive Brain Recordings
PPCP: Efficient Probabilistic Planning with Clear Preferences in Partially-Known Environments
Is Discourse Role Important for Emotion Recognition in Conversation?
Temporal Streaming Batch Principal Component Analysis for Time Series Classification (Student Abstract)
MixUp as Locally Linear Out-of-Manifold Regularization
Unsupervised Learning of Human Behaviours
CR-SAM: Curvature Regularized Sharpness-Aware Minimization
Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching
TAXI: A Taxonomic Assistant
CommonKADS Models for Knowledge-Based Planning
Reasoning MPE to Multiply Connected Belief Networks Using Message Passing
Organizing Memory and Keeping it Organized
Geometric Inductive Biases for Identifiable Unsupervised Learning of Disentangled Representations
Music-Inspired Texture Representation
Mitigating Political Bias in Language Models through Reinforced Calibration
Approximate and Exact Enumeration of Rule Models
Teaching Machines to Extract Main Content for Machine Reading Comprehension
Latent Space Editing in Transformer-Based Flow Matching
Examining Political Trustworthiness through Text-Based Measures of Ideology
Capsule Graph Neural Network for Multi-Label Image Recognition (Student Abstract)
Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning
GroundVLP: Harnessing Zero-Shot Visual Grounding from Vision-Language Pre-training and Open-Vocabulary Object Detection
Semi-supervised 3D Object Detection with PatchTeacher and PillarMix
Boosting in the Limit: Maximizing the Margin of Learned Ensembles
Facilitating Human-Wildlife Cohabitation through Conflict Prediction
DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation
Deep Recurrent Survival Analysis
Differential Performance Debugging With Discriminant Regression Trees
Deep Reinforcement Learning for Syntactic Error Repair in Student Programs
Sparse Adversarial Perturbations for Videos
More the Merrier: Towards Multi-Emotion and Intensity Controllable Response Generation
Unimodal Thompson Sampling for Graph-Structured Arms
Debate Helps Weak-to-Strong Generalization
Fair Representation Learning with Maximum Mean Discrepancy Distance Constraint (Student Abstract)
Case-Based Similarity Assessment: Estimating Adaptability from Experience
ATOL: A Framework for Automated Analysis and Categorization of the Darkweb Ecosystem
Spot the Error: Non-autoregressive Graphic Layout Generation with Wireframe Locator
Bayesian Inference without Point Estimates
RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions
Few Shot Network Compression via Cross Distillation
First-Order Federated Bilevel Learning
Domain Generalizable Person Search Using Unreal Dataset
Improving Generative Moment Matching Networks with Distribution Partition
Algorithms for Strong Nash Equilibrium with More than Two Agents
Remote Management of Boundary Protection Devices with Information Restrictions
Multi-Objective Molecular Design Through Learning Latent Pareto Set
Autonomous Agents: An Advanced Course on AI Integration and Deployment
Intelligent Control of Life Support Systems for Space Habitats
The Role of Heuristics and Biases during Complex Choices with an AI Teammate
Instructor Rating Markets
Video Saliency Detection via Dynamic Consistent Spatio-Temporal Attention Modelling
Cost-Sensitive Semi-Supervised Support Vector Machine
Rough Resolution: A Refinement of Resolution to Remove Large Literals
Multi-Label Few-Shot ICD Coding as Autoregressive Generation with Prompt
Random Intersection Graphs and Missing Data
Deterministic Mini-batch Sequencing for Training Deep Neural Networks
Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games
Schema Selection and Stochastic Inference in Modular Environments
SMILe: Shuffled Multiple-Instance Learning
Feature Recognition Using Correlated Information Contained in Multiple Neighborboods
High Dimension Action Spaces in Robot Skill Learning
Rationality and its Roles in Reasoning (Extended Abstract)
Time for AI (Ethics) Maturity Model Is Now
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update
"Levels of help, levels of delegation and agent modeling"
No Task Left Behind: Multi-Task Learning of Knowledge Tracing and Option Tracing for Better Student Assessment
A Cost-Directed Planner: Preliminary Report
Capabilities for Better ML Engineering
Depth and Flow From Motion Energy
Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement
Federated Binary Matrix Factorization Using Proximal Optimization
An Interactive Explanatory AI System for Industrial Quality Control
CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series
Extracting Adverse Drug Reactions from Social Media
Class Incremental Learning for Task-Oriented Dialogue System with Contrastive Distillation on Internal Representations (Student Abstract)
Monte Carlo Tree Search in the Presence of Transition Uncertainty
TSDF-Based Efficient Motion-Compensated Temporal Interpolation for 3D Dynamic Sequences
Less Is More: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation
Efficient Optimal Approximation of Discrete Random Variables for Estimation of Probabilities of Missing Deadlines
Doubly Robust Covariate Shift Correction
Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering
A Logic of Situated Know-How
Bison Hacks the Yard: Assisting Underrepresented Students Overcome Impostor Syndrome with Augmented Reality and Artificial Intelligence
Iterative Counterfactual Data Augmentation
Operationalising Rawlsian Ethics for Fairness in Norm Learning Agents
TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection
Learning Diffusions without Timestamps
Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols
Speeding Up the RUL¯ Dynamic-Controllability-Checking Algorithm for Simple Temporal Networks with Uncertainty
MultiAct: Long-Term 3D Human Motion Generation from Multiple Action Labels
Clustering by Mining Density Distributions and Splitting Manifold Structure
Generating Counterfactual Explanations Under Temporal Constraints
A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs
Symbolic Functional Decomposition: A Reconfiguration Approach
Unravelling Expressive Delegations: Complexity and Normative Analysis
Random Walk Decay Centrality
*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task
SWBNet: A Stable White Balance Network for sRGB Images
A Synthetic Approach to Temporal Information Processing
Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services
Sentence Simplification Capabilities of Transfer-Based Models
QGen Studio: An Adaptive Question-Answer Generation, Training and Evaluation Platform
ARIA: Asymmetry Resistant Instance Alignment
Induction of Causal Relationships From a Time-Oriented Clinical Database: An Overview of the RX Project
Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks
Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions
Large-Scale Analogical Reasoning
Explaining Neural Matrix Factorization with Gradient Rollback
Learning Robust Rationales for Model Explainability: A Guidance-Based Approach
Randomized Generation of Adversary-aware Fake Knowledge Graphs to Combat Intellectual Property Theft
Geodesic-HOF: 3D Reconstruction Without Cutting Corners
Associate Latent Encodings in Learning from Demonstrations
Beyond Speech: Generalizing D-Vectors for Biometric Verification
Engineering Works Scheduling for Hong Kong's Rail Network
SCALM: Detecting Bad Practices in Smart Contracts Through LLMs
A Set-Theoretic Framework for the Processing of Uncertain Knowledge
Semantic Representation Using Explicit Concept Space Models
Transforming Healthcare: A Comprehensive Approach to Mitigating Bias and Fostering Empathy through AI-Driven Augmented Reality
Characterizing Diagnoses
A Novel Mountain Driving Unity Simulated Environment for Autonomous Vehicles
High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models
Foundations of Assumption-based Truth Maintenance Systems: Preliminary Report
Conditional Loss and Deep Euler Scheme for Time Series Generation
An Adaptive Gradient Method for Online AUC Maximization
Towards Large-Scale Collaborative Planning: Answering High-Level Search Queries Using Human Computation
Query Answering in Circumscriptive and Closed-World Theories
Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation
Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games
DeepCollaboration: Collaborative Generative and Discriminative Models for Class Incremental Learning
Analysis of One-to-One Matching Mechanisms via SAT Solving: Impossibilities for Universal Axioms
Batch Normalization Is Blind to the First and Second Derivatives of the Loss
Encoding Constraints as Binary Constraint Networks Satisfying BTP
New Mini-Bucket Partitioning Heuristics for Bounding the Probability of Evidence
Assessing Relevance with Extensionally Defined Principles and Cases
Improving Factual Error Correction by Learning to Inject Factual Errors
Automating the Underwriting of Insurance Applications
Revisiting Consistent Hashing with Bounded Loads
Learning Instance Specific Distance for Multi-Instance Classification
Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain
FEEL: Featured Event Embedding Learning
Discovering Relevant Hashtags for Health Concepts: A Case Study of Twitter
Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference
Treasures in Discarded Weights for LLM Quantization
Non-Linear Label Ranking for Large-Scale Prediction of Long-Term User Interests
Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information
Learning in FOL with a Similarity Measure
Myths and Legends in Learning Classification Rules
Reinforcement Mechanism Design for Fraudulent Behaviour in e-Commerce
YES/MVS: A Continuous Real Time Expert System
Randomized Wagering Mechanisms
Learning Verified Safe Neural Network Controllers for Multi-Agent Path Finding
XLM-K: Improving Cross-Lingual Language Model Pre-training with Multilingual Knowledge
Multi-View Clustering in Latent Embedding Space
Symmetry in Solutions
Generative Model-Based Feature Knowledge Distillation for Action Recognition
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples
Some Advances in Transformation-Based Part of Speech Tagging
Well-Classified Examples Are Underestimated in Classification with Deep Neural Networks
Empowering Educators in AI: Insights from Co-Designing an AI Microcredential with and for K-12 Educators
Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction
Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks
RoboCup@Home - Benchmarking Domestic Service Robots
Embodied, Intelligent Communication for Multi-Agent Cooperation
Approximation and Parameterized Complexity of Minimax Approval Voting