yusuke1997/dblp-id-title huggingface dataset:
Continual Treatment Effect Estimation: Challenges and Opportunities
Learning Trees and Rules with Set-Valued Features
Rolling-Unet: Revitalizing MLP's Ability to Efficiently Extract Long-Distance Dependencies for Medical Image Segmentation
Efficient Constrained K-center Clustering with Background Knowledge
Attention-via-Attention Neural Machine Translation
Axiomatic Characterization of Game-Theoretic Network Centralities
Large Scale Diagnosis Using Associations between System Outputs and Components
Improved Limited Discrepancy Search
RepeatLeakage: Leak Prompts from Repeating as Large Language Model Is a Good Repeater
Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison
Compiling Circumscriptive Theories into Logic Programs
Adapting Bias by Gradient Descent: An Incremental Version of Delta-Bar-Delta
UniAP: Towards Universal Animal Perception in Vision via Few-Shot Learning
A Compact Implicit Neural Representation for Efficient Storage of Massive 4D Functional Magnetic Resonance Imaging
Omnidirectional Image Super-resolution via Bi-projection Fusion
Relative Entropy Policy Search
Graph Correspondence Transfer for Person Re-Identification
Invisible Backdoor Attack against 3D Point Cloud Classifier in Graph Spectral Domain
Frivolous Units: Wider Networks Are Not Really That Wide
Integrating Inference and Experimental Design for Contextual Behavioral Model Learning
Analogical Processing: A Simulation and Empirical Corroboration
Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos
Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling
Self-Reference, Knowledge, Belief, and Modality
Advice-Guided Reinforcement Learning in a non-Markovian Environment
Analogy Training Multilingual Encoders
A Framework for Multistream Regression With Direct Density Ratio Estimation
Solving DisCSPs with Penalty Driven Search
AdaptivePose: Human Parts as Adaptive Points
Instance-Wise Laplace Mechanism via Deep Reinforcement Learning (Student Abstract)
News Content Completion with Location-Aware Image Selection
Weighted Fairness Notions for Indivisible Items Revisited
A Relational Representation of Modification
DL-Lite: Tractable Description Logics for Ontologies
Mining Entity Synonyms with Efficient Neural Set Generation
Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference
Top-Down RST Parsing Utilizing Granularity Levels in Documents
Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization
Best-First Frontier Search with Delayed Duplicate Detection
Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling
Disciple-RKF/COG: Agent Teaching by Subject Matter Experts
ContactGen: Contact-Guided Interactive 3D Human Generation for Partners
Information Set Generation in Partially Observable Games
Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering
Extending Compact-Table to Negative and Short Tables
Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment
Multiple Sequence Alignment Using Anytime A *
ER: Equivariance Regularizer for Knowledge Graph Completion
Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting
Selecting Proper Multi-Class SVM Training Methods
Prediction Sharing Across Time and Contexts
A Generalized Strategy Eliminability Criterion and Computational Methods for Applying It
Information-Theoretic Understanding of Population Risk Improvement with Model Compression
Boosting Complementary Hash Tables for Fast Nearest Neighbor Search
Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks
A Trace-restricted Kronecker-Factored Approximation to Natural Gradient
Multi-Scale Games: Representing and Solving Games on Networks with Group Structure
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces
Top-k Ranking Bayesian Optimization
Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding
Integrating a Spatial Reasoner with a Resolution Theorem-Prover
What Is a Good Question? Assessing Question Quality via Meta-Fact Checking
Confounding-Robust Deferral Policy Learning
Weighted Poisson-disk Resampling on Large-Scale Point Clouds
Automatic Sample-by-sample Model Selection Between Two Off-the-shelf Classifiers
Multi-Agent Path Finding for Large Agents
Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks
What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception
Contrastive Learning with the Feature Reconstruction Amplifier
DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction
Online Classification Using a Voted RDA Method
Efficient License Plate Recognition via Holistic Position Attention
DPCL-Diff：Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning
Syntax-Aware Neural Semantic Role Labeling
UbuntuWorld 1.0 LTS - A Platform for Automated Problem Solving & Troubleshooting in the Ubuntu OS
SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation
Learning in Multi-Agent Systems
Achieving Lightweight Super-Resolution for Real-Time Computer Graphics
Explainable Survival Analysis with Convolution-Involved Vision Transformer
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model
Multi-aspect Self-guided Deep Information Bottleneck for Multi-modal Clustering
Defining and Representing Activity Context for Systems Analysis
GENNAPE: Towards Generalized Neural Architecture Performance Estimators
Heavy-Tailed Analogues of the Covariance Matrix for ICA
RELOOP: A Python-Embedded Declarative Language for Relational Optimization
ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning
Learning Meta Model for Zero- and Few-Shot Face Anti-Spoofing
Label Ranking by Directly Optimizing Performance Measures
Goal-Oriented Dialogue Policy Learning from Failures
SPAC: Sparse Partitioning and Adaptive Core Tensor Pruning Model for Knowledge Graph Completion
Towards Understanding Future: Consistency Guided Probabilistic Modeling for Action Anticipation
mmFAS: Multimodal Face Anti-Spoofing Using Multi-Level Alignment and Switch-Attention Fusion
QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning
HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding
Compact RGBD Surface Models Based on Sparse Coding
Deep Spatial Adaptive Network for Real Image Demosaicing
Congestion Graphs for Automated Time Predictions
Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks
Explainable Metaphor Identification Inspired by Conceptual Metaphor Theory
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning
Dynamic Programming for Predict+Optimise
CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration
Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges
Parameter-Efficient Model Adaptation for Vision Transformers
Generating Synthetic Data for Unsupervised Federated Learning of Cross-Modal Retrieval
Tiebreaking Strategies for A* Search: How to Explore the Final Frontier
Transportability of Causal Effects: Completeness Results
Abductive Markov Logic for Plan Recognition
SimRP: Syntactic and Semantic Similarity Retrieval Prompting Enhances Aspect Sentiment Quad Prediction
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network
Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning
Wasserstein Distributionally Robust Inverse Multiobjective Optimization
Responsibility in Extensive Form Games
Learning to Extract Coherent Summary via Deep Reinforcement Learning
Energy-Efficient Automatic Train Driving by Learning Driving Patterns
Multiwinner Elections With Diversity Constraints
Contract Enactment in Virtual Organizations: A Commitment-Based Approach
Fast Planning in Domains with Derived Predicates: An Approach Based on Rule-Action Graphs and Local Search
I AM A.I. Gradient Descent - an Open-Source Digital Game for Inquiry-Based CLIL Learning
Comprehending and Generating Apt Metaphors: A Web-driven, Case-based Approach to Figurative Language
DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion
Affective Computing and Applications of Image Emotion Perceptions
Real-time Alert Correlation Using Stream Data Mining Techniques
Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation
Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks
EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression
Learning Integrated Holism-Landmark Representations for Long-Term Loop Closure Detection
TS2Vec: Towards Universal Representation of Time Series
Unsupervised Deep Learning for Phase Retrieval via Teacher-Student Distillation
A Semi-Supervised Network Embedding Model for Protein Complexes Detection
A Latent-Variable Model for Intrinsic Probing
Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics
Generating Useful Network-based Features for Analyzing Social Networks
DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness
The Geometry of Visual Coordination
LPCG: A Self-conditional Architecture for Labeled Point Cloud Generation
Supporting AI Literacy Teaching Through the Development of Assessments for Classroom Use
Continual Learning in an Open and Dynamic World
M2Doc: A Multi-Modal Fusion Approach for Document Layout Analysis
Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions
On Grounded Planning for Embodied Tasks with Language Models
D*Lite
A Tractable First-Order Probabilistic Logic
Planning with Hidden Parameter Polynomial MDPs
Spiking NeRF: Representing the Real-World Geometry by a Discontinuous Representation
UTTSExam: A University Examination Timetable Scheduler
An Efficient Higher-Order Consistency Algorithm for Table Constraints
Tracking User-Preference Varying Speed in Collaborative Filtering
Increasing Threshold Search for Best-Valued Agents
Spectrum Curricula: Design and Initial Results
Hyperbolic Interaction Model for Hierarchical Multi-Label Classification
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting
Addressing a Question Answering Challenge by Combining Statistical Methods with Inductive Rule Learning and Reasoning
Counterfactuals for the Future
Lifting Rationality Assumptions in Binary Aggregation
Number Theoretic Accelerated Learning of Physics-Informed Neural Networks
The Complexity of Bribery in Elections
Visual Adversarial Examples Jailbreak Aligned Large Language Models
Search Algorithms for m Best Solutions for Graphical Models
From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes
Formal Semantics and Formally Verified Validation for Temporal Planning
Corpus-Driven Knowledge Acquisition for Discourse Analysis
BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents
VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis
LOL - Laugh Out Loud
Towards Action Representation within the Framework of Conceptual Spaces: Preliminary Results
Training-Time Attacks against K-nearest Neighbors
Cost-Effective Incentive Allocation via Structured Counterfactual Inference
Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation
Neural Network based Constraint Satisfaction in Ontology Mapping
Using Symmetries to Lift Satisfiability Checking
Responsibility Attribution in Parameterized Markovian Models
Social-DPF: Socially Acceptable Distribution Prediction of Futures
Composable Modular Reinforcement Learning
Determining the 3-D Motion of a Rigid Surface Patch Without Correspondence under Perspective Projection
Revised Dependencydirected Backtracking for Default Reasoning
Towards Task Understanding in Visual Settings
Scenario-Based Robust Optimization of Tree Structures
The Computational Gauntlet of Human-Like Learning
Adaptive Hardness Negative Sampling for Collaborative Filtering
CP as a General-Purpose Constraint-Language
JPV-Net: Joint Point-Voxel Representations for Accurate 3D Object Detection
A Modular Action Description Language
ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression
A Pre-Training Based Personalized Dialogue Generation Model with Persona-Sparse Data
PHFormer: Multi-Fragment Assembly Using Proxy-Level Hybrid Transformer
Open Government Data for Tackling Corruption - A Perspective
Pattern Discovery in Protein Networks Reveals High-Confidence Predictions of Novel Interactions
Context-Aware Self-Attention Networks
With False Friends Like These, Who Can Notice Mistakes?
Predicting Engagement Breakdown in HRI Using Thin-Slices of Facial Expressions
Hard Constrained Semi-Markov Decision Processes
PUMA: Performance Unchanged Model Augmentation for Training Data Removal
Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems
Debiased Novel Category Discovering and Localization
Online Boosting Algorithms for Anytime Transfer and Multitask Learning
Sentiment Lexicon Enhanced Attention-Based LSTM for Sentiment Classification
Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement
On the Proximity of Markets with Integral Equilibria
Decision Making under Uncertainty: Operations Research Meets AI (Again)
SECRET: Self-Consistent Pseudo Label Refinement for Unsupervised Domain Adaptive Person Re-identification
Knowledge Formation and Dialogue Using the KRAKEN Toolset
Causally Aware Generative Adversarial Networks for Light Pollution Control
Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer
An Analysis of Error Recovery and Sensory Integration for Dynamic Planners
Generalized Value Iteration Networks: Life Beyond Lattices
Adaptive Shortcut Debiasing for Online Continual Learning
Novel View Synthesis Under Large-Deviation Viewpoint for Autonomous Driving
Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing
InteractEva: A Simulation-Based Evaluation Framework for Interactive AI Systems
Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns
Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains
Robust Multi-Object Detection Based on Data Augmentation with Realistic Image Synthesis for Point-of-Sale Automation
Reinforcement Learning of Causal Variables Using Mediation Analysis
Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification
SCANS: Mitigating the Exaggerated Safety for LLMs via Safety-Conscious Activation Steering
Generating qualitatively Different Plans througt Metatheoretic Biases
Fast Compressive Phase Retrieval under Bounded Noise
SAFIRE: Segment Any Forged Image Region
Generation of Attributes for Learning Algorithms
OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting
Detect Overlapping Communities via Ranking Node Popularities
Efficient Online Crowdsourcing with Complex Annotations
A Novel Framework for Robustness Analysis of Visual QA Models
Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection
Multi-Instance Multi-Label Class Discovery: A Computational Approach for Assessing Bird Biodiversity
Lifting Model Sampling for General Game Playing to Incomplete-Information Models
Accurate Detection of Weld Seams for Laser Welding in Real-World Manufacturing
Possible Winners in Noisy Elections
Common Sense Retrieval
Spanning the Spectrum of Hatred Detection: A Persian Multi-Label Hate Speech Dataset with Annotator Rationales
Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors
Prompting Segmentation with Sound Is Generalizable Audio-Visual Source Localizer
Path to Automating Ocean Health Monitoring
Denoising Dictionary Learning Against Adversarial Perturbations
Belief Functions on Distributive Lattices
Learning Mixtures of MLNs
Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing
Ethical Dilemmas for Adaptive Persuasion Systems
Progressive Multi-View Human Mesh Recovery with Self-Supervision
Unsupervised Meta-Learning of Figure-Ground Segmentation via Imitating Visual Effects
VersaFusion: A Versatile Diffusion-Based Framework for Fine-Grained Image Editing and Enhancement
Doc2Dial: A Framework for Dialogue Composition Grounded in Documents
Deep Learning for Style Transfer and Experimentation with Audio Effects and Music Creation
Predicting User Behavior in Smart Spaces with LLM-Enhanced Logs and Personalized Prompts
Ontology-Based Query Answering for Probabilistic Temporal Data
Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts
Computing Cost-Optimal Definitely Discriminating Tests
Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs
Generating Image Captions in Arabic Using Root-Word Based Recurrent Neural Networks and Deep Neural Networks
Hierarchical Graph Capsule Network
Dynamic Controllability of Disjunctive Temporal Networks: Validation and Synthesis of Executable Strategies
Continuous State POMDPs for Object Manipulation Tasks
A Theory for Qualitative Spatial Reasoning Based on Order Relations
Intelligent Automated Grid Generation for Numerical Simulations
Multi-Entity Dependence Learning With Rich Context via Conditional Variational Auto-Encoder
Designing Reactive Robot Controllers with LTLMoP
Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition
Size Adaptive Selection of Most Informative Features
SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks
Towards Robust Visual Understanding: from Recognition to Reasoning
An Instance-Based State Representation for Network Repair
To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability
Provably Secure Federated Learning against Malicious Clients
Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption
Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments
Learning Sentiment-Specific Word Embedding via Global Sentiment Representation
Horizontal Pyramid Matching for Person Re-Identification
Iterative Delegations in Liquid Democracy with Restricted Preferences
Using Frame Semantics for Knowledge Extraction from Twitter
The Complexity of Recognizing Incomplete Single-Crossing Preferences
Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces
In2NeCT: Inter-class and Intra-class Neural Collapse Tuning for Semantic Segmentation of Imbalanced Remote Sensing Images
TSVC: Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval
Gated Orthogonal Recurrent Units: On Learning to Forget
Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization
Choices Are Not Independent: Stackelberg Security Games with Nested Quantal Response Models
Temporal Anomaly Detection: Calibrating the Surprise
A First-Order Logic of Probability and Only Knowing in Unbounded Domains
Probabilistic Reasoning Across the Causal Hierarchy
3DHumanEdit: Multi-modal Body Part-aware Conditioning Information Integration for 3D Human Manipulation
An Algebraic Prolog for Reasoning about Possible Worlds
A Deep Learning-Based Face Mask Detector for Autonomous Nano-Drones (Student Abstract)
Improved PAC-Bayesian Bounds for Linear Regression
Disentangling Tabular Data Towards Better One-Class Anomaly Detection
Generative-Based Fusion Mechanism for Multi-Modal Tracking
Orthant-Wise Passive Descent Algorithms for Training L 1 -Regularized Models
Incremental Reinforcement Learning with Dual-Adaptive ε-Greedy Exploration
Divergence-Guided Simultaneous Speech Translation
Making CP-Nets (More) Useful
SSLFusion: Scale and Space Aligned Latent Fusion Model for Multimodal 3D Object Detection
Deep Bayesian Quadrature Policy Optimization
Causality in Flux: Continual Adaptation of Causal Knowledge via Evidence Matching
TRQ: Ternary Neural Networks With Residual Quantization
T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering
A Feasible Nonconvex Relaxation Approach to Feature Selection
ChromaFusionNet (CFNet): Natural Fusion of Fine-Grained Color Editing
Distribution Matching for Rationalization
Runtime Decision Making Under Uncertainty in Autonomous Vehicles
A Machine with Short-Term, Episodic, and Semantic Memory Systems
Simultaneous Heuristic Search for Conjunctive Subgoals
StructInf: Mining Structural Influence from Social Streams
Modelling Diversity of Solutions
Appearance-Based Obstacle Detection with Monocular Color Vision
Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose
Frame-Level Label Refinement for Skeleton-Based Weakly-Supervised Action Recognition
Spatial Scaffolding for Sociable Robot Learning
Learning Step Size Controllers for Robust Neural Network Training
Default Reasoning as Likelihood Reasoning
Agent Architectures for Flexible, Practical Teamwork
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning?
SUIT: A Supervised User-Item Based Topic Model for Sentiment Analysis
Rception: Wide and Deep Interaction Networks for Machine Reading Comprehension (Student Abstract)
Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization
What Is It You Really Want of Me? Generalized Reward Learning with Biased Beliefs about Domain Dynamics
Using Partitions and Superstrings for Lossless Compression of Pattern Databases
Leveraging Wikipedia Characteristics for Search and Candidate Generation in Question Answering
Learning Human-Understandable Strategies
Comparing Action-Query Strategies in Semi-Autonomous Agents
Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model
Unsupervised Word Sense Disambiguation Using Markov Random Field and Dependency Parser
SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning
Fairness and Explainability: Bridging the Gap towards Fair Model Explanations
Generalized Zero-Shot Learning for Point Cloud Segmentation with Evidence-Based Dynamic Calibration
Global Climate Model Tracking Using Geospatial Neighborhoods
Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration)
Imagined Visual Representations as Multimodal Embeddings
Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation
The Role of Dimensionality Reduction in Classification
Goal and Responsibility Allocation in Sensible Agent-Based Systems
Modeling Eye Movements when Reading Microblogs
Efficient Management of Very Large Ontologies
Synthetic Robot Language Development
RUNA: Object-Level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
Learning Better Representations Using Auxiliary Knowledge
Minimal Social Laws
Frame Selection in Parsing
Scientific Ranking over Heterogeneous Academic Hypernetwork
Procedural Text Understanding via Scene-Wise Evolution
Belief Network Inference in Dynamic Environments
Counting Knot Mosaics with ALLSAT (Student Abstract)
Stable Learning via Sparse Variable Independence
Doc2Bot: Document grounded Bot Framework