yusuke1997/dblp-id-title huggingface dataset:
Privacy-Preserving Policy Iteration for Decentralized POMDPs
Generating CP-Nets Uniformly at Random
Threat-Removal Strategies for Partial-Order Planning
Verb Class Induction with Partial Supervision
The Utility of Sparse Representations for Control in Reinforcement Learning
An Emotion-Guided Approach to Domain Adaptive Fake News Detection Using Adversarial Learning (Student Abstract)
Twice Class Bias Correction for Imbalanced Semi-supervised Learning
Learning Local Neighboring Structure for Robust 3D Shape Representation
Periodic Multi-Agent Path Planning
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning
Learning Generative Neural Networks for 3D Colorization
Type-augmented Relation Prediction in Knowledge Graphs
Split then Refine: Stacked Attention-guided ResUNets for Blind Single Image Visible Watermark Removal
Spatial Clustering of Citizen Science Data Improves Downstream Species Distribution Models
Exponential Family Graph Embeddings
Semi-Supervised Online Cross-Modal Hashing
Ordered Completion for First-Order Logic Programs on Finite Structures
AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes
Pointwise Circumscription: Preliminary Report
Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study
Audio Visual Attribute Discovery for Fine-Grained Object Recognition
CEMA - Cost-Efficient Machine-Assisted Document Annotations
Learning Not to Regret
Randomized Clustered Nystrom for Large-Scale Kernel Machines
CAiRE: An End-to-End Empathetic Chatbot
Robust Action Gap Increasing with Clipped Advantage Learning
What Can Youth Learn About Artificial Intelligence and Machine Learning in One Hour? Examining How Hour of Code Activities Address the Five Big Ideas of AI
Reducing Search Space in Local Search for Constraint Satisfaction
DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection
Graph Heterogeneous Multi-Relational Recommendation
Modeling the Probabilistic Distribution of Unlabeled Data for One-shot Medical Image Segmentation
Dimensionality and Coordination in Voting: The Distortion of STV
A Multi-Domain Evaluation of Scaling in a General Episodic Memory
Large Margin Metric Learning for Multi-Label Prediction
An End-to-End Solution for Named Entity Recognition in eCommerce Search
Reinforcement Learning of Sequential Price Mechanisms
GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent
Online Multi-Task Learning via Sparse Dictionary Optimization
Case and Constraint-Based Apartment Construction Project Planning System: FASTrak-APT
Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion
PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search
Domain-Shared Group-Sparse Dictionary Learning for Unsupervised Domain Adaptation
Combating Insider Threat in the Open-World Environments: Identification, Monitoring, and Data Augmentation
Using Multimodal Data and AI to Dynamically Map Flood Risk
Integrating Large Language Models and Möbius Group Transformations for Temporal Knowledge Graph Embedding on the Riemann Sphere
Let Your Photos Talk: Generating Narrative Paragraph for Photo Stream via Bidirectional Attention Recurrent Neural Networks
Walk the Talk: Connecting Language, Knowledge, and Action in Route Instructions
Beyond Individualism: Modeling Team Playing Behavior in Robot Soccer through Case-Based Reasoning
Plan Recognition for Airborne Tactical Decision Making
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks
Agent and Task Modeling at Honeywell
Neural Cognitive Diagnosis for Intelligent Education Systems
Concept Conductor: Orchestrating Multiple Personalized Concepts in Text-to-Image Synthesis
Visualization and Adjustment of Evaluation Functions Based on Evaluation Values and Win Probability
Multi-Modal References in Human-Computer Dialogue
PUPS: Point Cloud Unified Panoptic Segmentation
LSDH: A Hashing Approach for Large-Scale Link Prediction in Microblogs
Distributed Constraint Optimization Under Stochastic Uncertainty
Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions
Predictive Student Modeling in Educational Games with Multi-Task Learning
The Automated Vacuum Waste Collection Optimization Problem
Continual General Chunking Problem and SyncMap
Novel Mechanisms for Online Crowdsourcing with Unreliable, Strategic Agents
The Games Computers (and People) Play
Communication-Restricted Exploration for Small Teams
LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning
Multi-Agent Learning with Policy Prediction
Leveraging Lexical Substitutes for Unsupervised Word Sense Induction
MUSE: Mamba Is Efficient Multi-scale Learner for Text-video Retrieval
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-training
A Belief Revision Framework for Revising Epistemic States with Partial Epistemic States
DeepGemini: Verifying Dependency Fairness for Deep Neural Network
Towards Open-Vocabulary Remote Sensing Image Semantic Segmentation
Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach
Invariant Action Effect Model for Reinforcement Learning
Learning Disentangled Attribute Representations for Robust Pedestrian Attribute Recognition
Underwater Organism Color Fine-Tuning via Decomposition and Guidance
Multi Machine Scheduling: An Agent-Based Approach
To Swap or Not to Swap? Exploiting Dependency Word Pairs for Reordering in Statistical Machine Translation
Achieving Maximin Share and EFX/EF1 Guarantees Simultaneously
Knowledge Embedding in the Description System Omega
STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis
Rethinking the Bottom-Up Framework for Query-Based Video Localization
HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors
Exploring Faithful Rationale for Multi-Hop Fact Verification via Salience-Aware Graph Learning
Search Performance of Multi-Agent Plan Recognition in a General Model
Decentralized Multi-Agent Linear Bandits with Safety Constraints
What Do You Mean 'Why?': Resolving Sluices in Conversations
Anisotropic Fourier Features for Neural Image-Based Rendering and Relighting
Radial Restraint: A Semantically Clean Approach to Bounded Rationality for Logic Programs
Black-Box Test-Time Prompt Tuning for Vision-Language Models
Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints
MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models
Contextual representation of self-disclosure and supportiveness in short text
Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems
Gated Neural Networks for Option Pricing: Rationality by Design
SMT-Based Reasoning for Uncertain Hybrid Domains
DrugHash: Hashing Based Contrastive Learning for Virtual Screening
A New Method for Consequence Finding and Compilation in Restricted Languages
A Local Monte Carlo Tree Search Approach in Deterministic Planning
LLM Agents Can Be Choice-Supportive Biased Evaluators: An Empirical Study
A Spatio-temporal Cluster-aware Supervised Learning Framework for Predicting County-level Drug Overdose Deaths
DyS: A Framework for Mixture Models in Quantification
A Comparison of Supervised Learning Algorithms for Telerobotic Control Using Electromyography Signals
Doubly Contrastive Learning for Source-Free Domain Adaptive Person Search
Comparison of Clustering Techniques for Residential Energy Behavior Using Smart Meter Data
Parallel Higher Order Alternating Least Square for Tensor Recommender System
GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting
Sublinear Search Spaces for Shortest Path Planning in Grid and Road Networks
Toward Autonomous Learning of an Ontology of Tool Affordances by a Robot
Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification
Invariant Information Bottleneck for Domain Generalization
Tense Interpretation in the Context of Narrative
Automated Verification of Social Laws in Numeric Settings
Instructable Intelligent Personal Agent
On the Complexity of Sum-of-Products Problems over Semirings
DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification
What Would You Like to Drink? Recognising and Planning with Social States in a Robot Bartender Domain
Optimal Neighborhood Kernel Clustering with Multiple Kernels
Partitioning Friends Fairly
Deriving a Web-Scale Common Sense Fact Database
Constrained Coclustering for Textual Documents
Plug-and-Play Domain Adaptation for Cross-Subject EEG-based Emotion Recognition
Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates
BIG: A Resource-Bounded Information Gathering Agent
Underwater Ranker: Learn Which Is Better and How to Be Better
DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks
Neural Sentence Ordering Based on Constraint Graphs
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning
A High-Efficiency Federated Learning Method Using Complementary Pruning for D2D Communication (Student Abstract)
Slim Embedding Layers for Recurrent Neural Language Models
Framework and Schema for Semantic Web Knowledge Bases
A Variational Learning Algorithm for the Abstract Hidden Markov Model
Accurate Structured-Text Spotting for Arithmetical Exercise Correction
ChiMerge: Discretization of Numeric Attributes
Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View
Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets
Crowdsourcing with Meta-Knowledge Transfer (Student Abstract)
Dependent Bigram Identification
Time-Inconsistent Planning: Simple Motivation Is Hard to Find
Told You That Will Not Work: Optimal Corrections to Planning Domains Using Counter-Example Plans
Tsallis Regularized Optimal Transport and Ecological Inference
Length-Lex Ordering for Set CSPs
eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation
TAILOR: Teaching with Active and Incremental Learning for Object Registration
Compression-Aware Computing for Scalable and Sustainable AI
Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers
Terrace-based Food Counting and Segmentation
Multi-Task Learning in Heterogeneous Feature Spaces
Mesoscopic Insights: Orchestrating Multi-Scale & Hybrid Architecture for Image Manipulation Localization
Effective Clustering of scRNA-seq Data to Identify Biomarkers without User Input
Hierarchical Chunking in Classifier Systems
Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling
Adversary for Social Good: Protecting Familial Privacy through Joint Adversarial Attacks
Maestoso: An Intelligent Educational Sketching Tool for Learning Music Theory
PerformanceNet: Score-to-Audio Music Generation with Multi-Band Convolutional Residual Network
Quality-Diversity Generative Sampling for Learning with Synthetic Data
Multi-Objective Influence Diagrams with Possibly Optimal Policies
Critical Firms Prediction for Stemming Contagion Risk in Networked-Loans through Graph-Based Deep Reinforcement Learning
On the Social Welfare of Mechanisms for Repeated Batch Matching
Human Intelligence Needs Artificial Intelligence
QADiver: Interactive Framework for Diagnosing QA Models
Reducing Query Answering to Satisfiability in Nonmonotonic Logics
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search
Perceiving Group Themes from Collective Social and Behavioral Information
Tractable Probabilistic Knowledge Bases with Existence Uncertainty
Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning
Risk-Sensitive Planning with One-Switch Utility Functions: Value Iteration
Large-Scale Parallel Breadth-First Search
Counting-Based Reliability Estimation for Power-Transmission Grids
Novel Ordering-Based Approaches for Causal Structure Learning in the Presence of Unobserved Variables
Salient Frequency-aware Exemplar Compression for Resource-constrained Online Continual Learning
Peeking Behind the Ordinal Curtain: Improving Distortion via Cardinal Queries
FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation
Rethinking Reverse Distillation for Multi-Modal Anomaly Detection
Non-exponential Reward Discounting in Reinforcement Learning
A Quadratic Propagator for the Inter-Distance Constraint
Finding State Similarities for Faster Planning
Walking on Minimax Paths for k-NN Search
A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations
Why Things Go Wrong: A Formal Theory of Causal Reasoning
The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure
Semi-Supervised Learning under Class Distribution Mismatch
Are Vision-Language Transformers Learning Multimodal Representations? A Probing Perspective
GTDE: Grouped Training with Decentralized Execution for Multi-agent Actor-Critic
Automated Modeling for Answering Prediction Questions: Selecting the Time Scale and System Boundary
Semi-Supervised Learning to Perceive Children's Affective States in a Tablet Tutor
Robust Subspace Clustering via Thresholding Ridge Regression
Learning to Prevent Failure States for a Dynamically Balancing Robot
Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning
Knowledge Guided Semi-supervised Learning for Quality Assessment of User Generated Videos
Non-I.I.D. Multi-Instance Dimensionality Reduction by Learning a Maximum Bag Margin Subspace
Experimental Results on the Crossover Point in Satisfiability Problems
Information-Theoretic Domain Adaptation Under Severe Noise Conditions
Implicit Stochastic Gradient Descent for Training Physics-Informed Neural Networks
MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network
HFF-Tracker: A Hierarchical Fine-grained Fusion Tracker for Referring Multi-Object Tracking
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
Parallel Materialisation of Datalog Programs in Centralised, Main-Memory RDF Systems
Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification
Domain-Constraint Transfer Coding for Imbalanced Unsupervised Domain Adaptation
Learning Representation and Control in Continuous Markov Decision Processes
Neural TSP Solver with Progressive Distillation
XClusters: Explainability-First Clustering
FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint)
Temporal and Information Flow Based Event Detection from Social Text Streams
ECLAIR: Enhanced Clarification for Interactive Responses in an Enterprise AI Assistant
Latent Space Simulation for Carbon Capture Design Optimization
End-to-End Transformer Based Model for Image Captioning
Enhancing Multimodal Large Language Models Complex Reason via Similarity Computation
Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization
Mobile Robot Navigation and Control: A Case Study
Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral Transformations
Hierarchical Knowledge Squeezed Adversarial Network Compression
Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach
Scaling Up Influence Functions
Self-Distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach
Weak Supervision for Fake News Detection via Reinforcement Learning
Classification of Malware by Using Structural Entropy on Convolutional Neural Networks
Using Pattern Databases to Find Macro Operators
Optimal Attack and Defense for Reinforcement Learning
Label Confusion Learning to Enhance Text Classification Models
Supervised Topic Model with Consideration of User and Item
Random Erasing Data Augmentation
Mining Context-Aware Significant Travel Sequences from Geotagged Social Media
Discovering Agents (Abstract Reprint)
Count-Based Exploration with the Successor Representation
Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition
Semi-Distantly Supervised Neural Model for Generating Compact Answers to Open-Domain Why Questions
Melodic Phrase Attention Network for Symbolic Data-based Music Genre Classification (Student Abstract)
Improving Domain-independent Cloud-Based Speech Recognition with Domain-Dependent Phonetic Post-Processing
FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance
Knowledge Representation Languages and Predicate Calculus: How to Have Your Cake and Eat It Too
Differentially Private and Fair Classification via Calibrated Functional Mechanism
Learning Subjective Adjectives from Corpora
On the Discovery and Utility of Precedence Constraints in Temporal Planning
The Generalized Theory of Model Preference
Within-problem Learning for Efficient Lower Bound Computation in Max-SAT Solving
ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification
Query Complexity of Tournament Solutions
Bootstrapping Training-Data Representations for Inductive Learning: A Case Study in Molecular Biology
Compiling Bayesian Network Classifiers into Decision Graphs
Simplifying Bayesian Belief Nets while Preserving MPE or MPGE Ordering
Adding Constraints to Bayesian Inverse Problems
Exploring Answer Stance Detection with Recurrent Conditional Attention
ProsodyFM: Unsupervised Phrasing and Intonation Control for Intelligible Speech Synthesis
Utilitarians Without Utilities: Maximizing Social Welfare for Graph Problems Using Only Ordinal Preferences
Empower Sequence Labeling with Task-Aware Neural Language Model
DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding
Leverage the Explainability of Transformer Models to Improve the DNA 5-Methylcytosine Identification (Student Abstract)
H^2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis
An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data
Tighter Value Function Bounds for Bayesian Reinforcement Learning
High Dimensional Level Set Estimation with Bayesian Neural Network
String Shuffling over a Gap between Parsing and Plan Recognition
A Deep Cascade Model for Multi-Document Reading Comprehension
Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning
Flexible 3D Lane Detection by Hierarchical Shape Matching
Tool Use for Autonomous Agents
The Ostomachion Process
Taming Binarized Neural Networks and Mixed-Integer Programs
PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers
Conquering Adversary Behavioral Uncertainty in Security Games: An Efficient Modeling Robust Based Algorithm
Steiner Tree Problems with Side Constraints Using Constraint Programming
Least General Generalizations in Description Logic: Verification and Existence
Clustering Longitudinal Clinical Marker Trajectories from Electronic Health Data: Applications to Phenotyping and Endotype Discovery
Understanding and Enhancing Robustness of Concept-Based Models
Modeling Happiness Using One-Class Autoencoder
Selecting Portfolios Directly Using Recurrent Reinforcement Learning (Student Abstract)
Online Task Assignment in Crowdsourcing Markets
DropLoss for Long-Tail Instance Segmentation
Countrywide Automated Property Evaluation System - CAPES
A Production System for Learning Plans From an Expert
Reformulation of Global Constraints in Answer Set Programming
Behavior Is Everything: Towards Representing Concepts with Sensorimotor Contingencies
A Wireframe-Based Approach for Classifying and Acquiring Proficiency in the American Sign Language (Student Abstract)
T-distributed Spherical Feature Representation for Imbalanced Classification
Stable Model Counting and Its Application in Probabilistic Logic Programming
LRANet: Towards Accurate and Efficient Scene Text Detection with Low-Rank Approximation Network
NEUROCRYPT: Coercion-Resistant Implicit Memory Authentication (Student Abstract)
Exploiting Time-Series Image-to-Image Translation to Expand the Range of Wildlife Habitat Analysis
Limited Query Graph Connectivity Test
Semantic Graph Construction for Weakly-Supervised Image Parsing
Fair Division with Prioritized Agents
Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery
Bounded Treewidth as a Key to Tractability of Knowledge Representation and Reasoning
Asynchronous Teacher Guided Bit-wise Hard Mining for Online Hashing
WalkRanker: A Unified Pairwise Ranking Model With Multiple Relations for Item Recommendation
Incentive Networks
Causal and Plausible Reasoning in Expert Systems
CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models
A Multi-View Fusion Neural Network for Answer Selection
Emergent Coordination through the Use of Cooperative State-Changing Rules
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE
Vector Field Oriented Diffusion Model for Crystal Material Generation
Mitigating Reporting Bias in Semi-supervised Temporal Commonsense Inference with Probabilistic Soft Logic
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series
PUnifiedNER: A Prompting-Based Unified NER System for Diverse Datasets
Deep Learning Quadcopter Control via Risk-Aware Active Learning
Multi-Label Manifold Learning
Constraint Satisfaction Techniques for Combinatorial Problems
Mighty Thymio for University-Level Educational Robotics
Mixed Discrete-Continuous Planning with Convex Optimization
Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation
Leveraging Features and Networks for Probabilistic Tensor Decomposition
A Unified Framework for Representing Logic Program Updates
Pairwise HITS: Quality Estimation from Pairwise Comparisons in Creator-Evaluator Crowdsourcing Process
Robustness to Missing Features using Hierarchical Clustering with Split Neural Networks (Student Abstract)
Automatically Generating Algebra Problems
Learning to Select from Multiple Options
Causal Discovery in Hawkes Processes by Minimum Description Length
AI Projects for Computer Science Capstone Classes (Extended Abstract)
Weakly-Supervised Mirror Detection via Scribble Annotations
Learn How to See: Collaborative Embodied Learning for Object Detection and Camera Adjusting
Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation
DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series
A New Architecture for Automated Modelling
Combining Symbolic Learning Techniques and Statistical Regression Analysis
On Swap Convexity of Voting Rules
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks
Unsupervised Learning of HTNs in Complex Adversarial Domains
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators
Unsupervised Extractive Summarization with Learnable Length Control Strategies
Equilibrium Finding in Normal-Form Games via Greedy Regret Minimization
Soundness and Completeness of a Logic Programming Approach to Default Logic
An Interpretable Joint Graphical Model for Fact-Checking From Crowds
Improving Local Search Algorithms via Probabilistic Configuration Checking
Learning Generalizable and Composable Abstractions for Transfer in Reinforcement Learning
Inter-image Contrastive Consistency for Multi-Person Pose Estimation
Learning Motion-Robust Remote Photoplethysmography through Arbitrary Resolution Videos
FLAME: Learning to Navigate with Multimodal LLM in Urban Environments
Mix-and-Match Tuning for Self-Supervised Semantic Segmentation
Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference
Happiness Ingredients Detection using Multi-Task Deep Learning
Computing Equilibria with Two-Player Zero-Sum Continuous Stochastic Games with Switching Controller