yusuke1997/dblp-id-title huggingface dataset:
Action Recognition From Skeleton Data via Analogical Generalization Over Qualitative Representations
Improved MLP Point Cloud Processing with High-Dimensional Positional Encoding
A Student-Teacher Architecture for Dialog Domain Adaptation Under the Meta-Learning Setting
FedABC: Targeting Fair Competition in Personalized Federated Learning
Inference-Driven Semantic Analysis
Topological Mapping with Weak Sensory Data
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans
Cleaning the Null Space: A Privacy Mechanism for Predictors
Multi-Player Game Approach to Solving Multi-Entity Problems
Learning Relations by Pathfinding
Are Features Equally Representative? A Feature-Centric Recommendation
Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components
Reinforcement Learning for Branch-and-Bound Optimisation Using Retrospective Trajectories
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31 - August 4, 1994, Volume 2
Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display Camera
Running the Table: An AI for Computer Billiards
Sampling and Counting Acyclic Orientations in Chordal Graphs (Student Abstract)
Towards Safe AI: Sandboxing DNNs-Based Controllers in Stochastic Games
Emergency Department Online Patient-Caregiver Scheduling
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes
Avoiding Failure via Pre-Planned Responses and Time-Bounded Planning
PrivateSNN: Privacy-Preserving Spiking Neural Networks
Adaptive Convolutional ReLUs
Mixed-Initiative Exception-Based Learning for Knowledge Base Refinement
ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection
Maximizing the Benefits of Parallel Search Using Machine Learning
Rethinking U-Net: Task-Adaptive Mixture of Skip Connections for Enhanced Medical Image Segmentation
Best-Buddy GANs for Highly Detailed Image Super-resolution
Best-First AND/OR Search for Graphical Models
Low-Distortion Social Welfare Functions
Aggregating Electric Cars to Sustainable Virtual Power Plants: The Value of Flexibility in Future Electricity Markets
Advancing Retrosynthesis with Retrieval-Augmented Graph Generation
A General Method for Reducing the Complexity of Relational Inference and its Application to MCMC
Strategic Network Creation for Enabling Greedy Routing
Using Domain-Configurable Search Control for Probabilistic Planning
Revisiting Item Promotion in GNN-Based Collaborative Filtering: A Masked Targeted Topological Attack Perspective
Neural Spline Search for Quantile Probabilistic Modeling
AI-Driven Personalized Fall Prevention for Older Adults
The DEFACTO System: Training Tool for Incident Commanders
Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test
Bi-Kronecker Functional Decision Diagrams: A Novel Canonical Representation of Boolean Functions
Calliope: Mobile Manipulation From Commodity Components
Learning Flexibly Distributional Representation for Low-quality 3D Face Recognition
Type-Aware Anchor Link Prediction across Heterogeneous Networks Based on Graph Attention Network
The Marchitecture: A Cognitive Architecture for a Robot Baby
Discrete Curvature Graph Information Bottleneck
Unsupervised Paraphrasing under Syntax Knowledge
Hypergraph Label Propagation Network
Robot Team Exploration with Communication Restrictions
A Multiprocessor Architecture for Production System Matching
Multi-fingered Hand Grasps with Visuo-Tactile Fusion via Multi-Agent Deep Reinforcement Learning
A New Dataset and Boundary-Attention Semantic Segmentation for Face Parsing
Probabilistic-Logic Bots for Efficient Evaluation of Business Rules Using Conversational Interfaces
DialogueRNN: An Attentive RNN for Emotion Detection in Conversations
OpenViewer: Openness-Aware Multi-View Learning
MSR: A Multifaceted Self-Retrieval Framework for Microscopic Cascade Prediction
Towards Audio-Visual Navigation in Noisy Environments: A Large-Scale Benchmark Dataset and an Architecture Considering Multiple Sound-Sources
Decentralised Control of Micro-Storage in the Smart Grid
Exploration via Epistemic Value Estimation
Domain-Specific Heuristics in Answer Set Programming
SEAL: Systematic Error Analysis for Value ALignment
Parameterized Approximation Algorithms for K-center Clustering and Variants
Model-Based Offline Reinforcement Learning with Local Misspecification
Capturing Human Route Preferences From Track Information: New Results
Assessing Ethical Thinking about AI
Truncated Incremental Search: Faster Replanning by Exploiting Suboptimality
Out-of-Distribution Detection with Likelihoods Assigned by Deep Generative Models Using Multimodal Prior Distributions
Language Model Priming for Cross-Lingual Event Extraction
Bidirectional Integration of Pipeline Models
Using MaxSAT for Efficient Explanations of Tree Ensembles
RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sector
Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling
Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse
Joint Commonsense and Relation Reasoning for Image and Video Captioning
Learning Concept Prerequisite Relation via Global Knowledge Relation Optimization
Query Abduction for ELH Ontologies
PMAL: Open Set Recognition via Robust Prototype Mining
Fusing Social Networks with Deep Learning for Volunteerism Tendency Prediction
Generalizing across Temporal Domains with Koopman Operators
DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature
Zero-Shot Task Adaptation with Relevant Feature Information
Understanding and Predicting Multiple Risky Behaviors from Social Media
Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs
Hyperbolic Graph Diffusion Model
A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning
Human Guided Linear Regression With Feature-Level Constraints
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion
Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation
Equivalence in Argumentation Frameworks with a Claim-Centric View - Classical Results with Novel Ingredients
Nonparametric Stochastic Contextual Bandits
Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training
3DPGS: 3D Probabilistic Graph Search for Archaeological Piece Grouping
Interpretable and Differentially Private Predictions
The Emergence of Ordered Belief from Initial Ignorance
Symmetry-Aware Marginal Density Estimation
AutoMV: An Autonomous Agent Framework for Real Estate Marketing Video Generation
Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI
Robust Policy Learning via Offline Skill Diffusion
Combinatorial Creativity for Procedural Content Generation via Machine Learning
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control
Multimodal Propaganda Processing
A Direct Evolutionary Feature Extraction Algorithm for Classifying High Dimensional Data
Distributed Randomized Sketching Kernel Learning
Selfish Creation of Social Networks
Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal Knowledge
Box2Poly: Memory-Efficient Polygon Prediction of Arbitrarily Shaped and Rotated Text
A Label Dependence-Aware Sequence Generation Model for Multi-Level Implicit Discourse Relation Recognition
Constrained Intelligent Action: Planning Under the Influence of a Master Agent
Commonsense Arithmetic Reasoning
Dual Conditioned Motion Diffusion for Pose-Based Video Anomaly Detection
PenDer: Incorporating Shape Constraints via Penalized Derivatives
Parsing Embedded Clauses with Distributed Neural Networks
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint)
Robust Optimal Classification Trees against Adversarial Examples
Adaptive Modeling for Risk-Aware Decision Making
Efficient Attribute (α, β)-Core Detection in Large Bipartite Graphs (Student Abstract)
The Implicit Regularization of Momentum Gradient Descent in Overparametrized Models
Examining Patterns of Influenza Vaccination in Social Media
ASP-Driven Emergency Planning for Norm Violations in Reinforcement Learning
Improving Pareto Front Learning via Multi-Sample Hypernetworks
Joint Extraction and Labeling via Graph Propagation for Dictionary Construction
Submodular Optimization over Streams with Inhomogeneous Decays
Reasoning with Cardinal Directions: An Efficient Algorithm
On Manipulablity of Random Serial Dictatorship in Sequential Matching with Dynamic Preferences
GLADDER: Combining Gesture and Geometric Sketch Recognition
Language Models for Semantic Extraction and Filtering in Video Action Recognition
Knowledge Graph Completion with Adaptive Sparse Transfer Matrix
Computer Interpretation of Human Stick Figures
Repair Is Nearly Generation: Multilingual Program Repair with LLMs
Explainable Shapley-Based Allocation (Student Abstract)
Hybrid CNN-Transformer Feature Fusion for Single Image Deraining
Outlier Aware Network Embedding for Attributed Networks
DISTANCE-SAT: Complexity and Algorithms
Role of Optimizer on Network Fine-tuning for Adversarial Robustness (Student Abstract)
Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback
Learning From Unannotated QA Pairs to Analogically Disambiguate and Answer Questions
OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples
Mobile-based Clock Drawing Test for Detecting Early Signs of Dementia
Forgetting and Unfolding for Existential Rules
Warmstarting of Model-Based Algorithm Configuration
BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings
MNER-QG: An End-to-End MRC Framework for Multimodal Named Entity Recognition with Query Grounding
Structural Pruning via Spatial-aware Information Redundancy for Semantic Segmentation
Probabilistic Semantics for Qualitative Influences
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing
STraj: Self-training for Bridging the Cross-Geography Gap in Trajectory Prediction
Conformant Planning Heuristics Based on Plan Reuse in Belief States
Complex Emotional Intelligence Learning Using Deep Neural Networks (Student Abstract)
Subspace Differential Privacy
Multi-Objective Russian Doll Search
An LP-Based Approach for Goal Recognition as Planning
Reactive Planning in a Motivated Behavioral Architecture
Unsupervised Part-Based Weighting Aggregation of Deep Convolutional Features for Image Retrieval
FR²Seg: Continual Segmentation Across Multiple Sites via Fourier Style Replay and Adaptive Consistency Regularization
Sketch Worksheets in STEM Classrooms: Two Deployments
Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector
UMIE: Unified Multimodal Information Extraction with Instruction Tuning
Volatile Multi-Armed Bandits for Guaranteed Targeted Social Crawling
Visual Relation Detection using Hybrid Analogical Learning
Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret
Mining User Consumption Intention from Social Media Using Domain Adaptive Convolutional Neural Network
Searching for Optimal Off-Line Exploration Paths in Grid Environments for a Robot with Limited Visibility
Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans
Anytime Approximate Modal Reasoning
Efficient Quantization for Neural Networks with Binary Weights and Low Bitwidth Activations
Data Driven Profiling of Dynamic System Behavior using Hidden Markov Model based Combined Unsupervised and Supervised Classification
Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning
Semantic-guided Reinforced Region Embedding for Generalized Zero-Shot Learning
De-biased Teacher: Rethinking IoU Matching for Semi-supervised Object Detection
Memory Fusion Network for Multi-view Sequential Learning
Approximately Stable Matchings With Budget Constraints
Visually Grounded Commonsense Knowledge Acquisition
Filtering Bounded Knapsack Constraints in Expected Sublinear Time
Building a Community Memory for Intelligent Tutoring Systems
Exploring Implicit Feedback for Open Domain Conversation Generation
Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration
Dynamic Multi-Interest Graph Neural Network for Session-Based Recommendation
Developing a Postgraduate Program for AI in Medicine with Kern's Six-Step Curriculum Development Approach in Singapore
Social Laws For Agent Modeling
EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization
Generating Triples With Adversarial Networks for Scene Graph Construction
A Control Dichotomy for Pure Scoring Rules
Context Transitions: User Identification and Comparison of Mobile Device Motion Data
Utility-Directed Planning
Scientific Article Search System Based on Discourse Facet Representation
Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis
Value of Information Based on Decision Robustness
RRL: Recommendation Reverse Learning
Probing Natural Language Inference Models through Semantic Fragments
Covering Number as a Complexity Measure for POMDP Planning and Learning
Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations
Training-and-Prompt-Free General Painterly Harmonization via Zero-Shot Disentenglement on Style and Content References
Grammar Filtering for Syntax-Guided Synthesis
Learning Space-Time Crop Yield Patterns with Zigzag Persistence-Based LSTM: Toward More Reliable Digital Agriculture Insurance
Analogical Inference over a Common Sense Database
Integrating a Closed World Planner with an Open World Robot: A Case Study
Differential Assessment of Black-Box AI Agents
Does Robin Hood Use a Lightsaber?: Automated Planning for Storytelling
Cross-Sentence Gloss Consistency for Continuous Sign Language Recognition
Large Language Models Are Read/Write Policy-Makers for Simultaneous Generation
Phrase Type Sensitive Tensor Indexing Model for Semantic Composition
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off
On-Policy Algorithms for Continual Reinforcement Learning (Student Abstract)
Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference
Structured Inference Networks for Nonlinear State Space Models
StoryWeaver: A Unified World Model for Knowledge-Enhanced Story Character Customization
GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction
AtLoc: Attention Guided Camera Localization
Quantifying Incentive Compatibility of Ranking Systems
A Pattern-Based Approach to Recognizing Time Expressions
Exploratory Combinatorial Optimization with Reinforcement Learning
An Ontology for Transitions in Physical Dynamic Systems
Fine-Grained Search Space Classification for Hard Enumeration Variants of Subset Problems
ASP-Based Declarative Process Mining
Channel Pruning Guided by Classification Loss and Feature Importance
Int2Planner: An Intention-based Multi-modal Motion Planner for Integrated Prediction and Planning
S2CycleDiff: Spatial-Spectral-Bilateral Cycle-Diffusion Framework for Hyperspectral Image Super-resolution
Multi-Agent Path Finding on Strongly Biconnected Digraphs
Reducing the Dimensionality of Data Streams using Common Sense
Representation Search through Generate and Test
On Fairness in Decision-Making under Uncertainty: Definitions, Computation, and Comparison
Learning Rational Subgoals from Demonstrations and Instructions
Rule-Guided Compositional Representation Learning on Knowledge Graphs
A Comparison of Two Approaches to Splitting Default Theories
Universality of Real Minimal Complexity Reservoir
Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms
Distribution Aware VoteNet for 3D Object Detection
On the Importance of Word Order Information in Cross-lingual Sequence Labeling
Cost-Accuracy Aware Adaptive Labeling for Active Learning
Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic
Unified Knowledge Maintenance Pruning and Progressive Recovery with Weight Recalling for Large Vision-Language Models
Qualitative Spatio-Temporal Stream Reasoning with Unobservable Intertemporal Spatial Relations Using Landmarks
Greedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints
FISR: Deep Joint Frame Interpolation and Super-Resolution with a Multi-Scale Temporal Loss
How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection
Joint-Label Learning by Dual Augmentation for Time Series Classification
Divide-Solve-Combine: An Interpretable and Accurate Prompting Framework for Zero-shot Multi-Intent Detection
Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks
SAT-Based Strategy Extraction in Reachability Games
Towards Chunking as a General Learning Mechanism
CoMRoS: Cooperative Mobile Robots Stuttgart
Improving Human-Robot Interaction for Remote Robot Operation
MVReward: Better Aligning and Evaluating Multi-View Diffusion Models with Human Preferences
Collective Intelligence and Braess' Paradox
Trace Ratio Optimization With Feature Correlation Mining for Multiclass Discriminant Analysis
Resource Sharing for Control of Wildland Fires
Predicting Satisfiability at the Phase Transition
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting
Compact Spectral Bases for Value Function Approximation Using Kronecker Factorization
Automated Regression Testing Using Constraint Programming
Transferable Adversarial Face Attack with Text Controlled Attribute
Obtaining Calibrated Probabilities with Personalized Ranking Models
Non-Intersection of Trajectories in Qualitative Phase Space: A Global Constraint for Qualitative Simulation
MA-Net: Rethinking Neural Unit in the Light of Astrocytes
Relational Markov Decision Processes: Promise and Prospects
Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions
A Blind Block Term Decomposition of High Order Tensors
Dual Distribution Alignment Network for Generalizable Person Re-Identification
Gesture Annotation With a Visual Search Engine for Multimodal Communication Research
End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation
Feature Generation and Hypothesis Verification for Reliable Face Anti-spoofing
Indexical Knowledge in Robot Plans
An Architectural Approach to Statistical Relational AI
Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation
Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems
GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling
On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling
Output Encoding by Compressed Sensing for Cell Detection with Deep Convnet
Stronger and Transferable Node Injection Attacks
Maximizing Activity in Ising Networks via the TAP Approximation
Pruning Techniques in Search and Planning
Pushing the Power of Stochastic Greedy Ordering Schemes for Inference in Graphical Models
Kernel Cross-Correlator
CLIP-PCQA: Exploring Subjective-Aligned Vision-Language Modeling for Point Cloud Quality Assessment
Human-Aware Plan Recognition
Robust Visual Recognition with Class-Imbalanced Open-World Noisy Data
Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos
Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution
Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking
Enhancing Semi-supervised Domain Adaptation via Effective Target Labeling
MotifGPL: Motif-Enhanced Graph Prototype Learning for Deciphering Urban Social Segregation
KPT: Keyword-Guided Pre-training for Grounded Dialog Generation
Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
Story Ending Generation with Incremental Encoding and Commonsense Knowledge
GEQCA: Generic Qualitative Constraint Acquisition
Treatment Effect Estimation to Guide Model Optimization in Continual Learning
SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation
Extension Variables in QBF Resolution
Learning by Observation and Practice: A Framework for Automatic Acquisition of Planning Operators
Equilibria in Epidemic Containment Games
Optimal Classification Trees for Continuous Feature Data Using Dynamic Programming with Branch-and-Bound
Adversarial Alignment for Source Free Object Detection
Analysis of Physiological Behavior Using a Causal Model Based on First Principles
Statistical Model-driven Similarity Hashing: Bridging Modalities for Efficient Unsupervised Retrieval
Classifying Learner Engagement through Integration of Multiple Data Sources
Backdoor Decomposable Monotone Circuits and Propagation Complete Encodings
Exploring Diverse Representations for Open Set Recognition
An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning
pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning
AutoText: An End-to-End AutoAI Framework for Text
An Online Presentation Slide Assessment System Using Visual and Semantic Segmentation Features
Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation
Accountability Layers: Explaining Complex System Failures by Parts
UFPMP-Det: Toward Accurate and Efficient Object Detection on Drone Imagery
Offline Safe Reinforcement Learning Using Trajectory Classification
The Complexity of Global Constraints
Artificial Intelligence as an Experimental Science (Abstract)
Nested Named Entity Recognition with Partially-Observed TreeCRFs
Large Graph Hashing with Spectral Rotation
EAN: An Efficient Attention Module Guided by Normalization for Deep Neural Networks
Learning Vector Autoregressive Models With Latent Processes
Application-Embedded Retrieval from Distributed Free-Text Collections
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks
Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction
From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking
VeriCompress: A Tool to Streamline the Synthesis of Verified Robust Compressed Neural Networks from Scratch
Is Poisoning a Real Threat to DPO? Maybe More So Than You Think
Context-Aware Graph Convolution Network for Target Re-identification
Model Induction: A New Source of CSP Model Redundancy
FLAME: Free-Form Language-Based Motion Synthesis & Editing
SigMaNet: One Laplacian to Rule Them All
Mixture of Online and Offline Experts for Non-Stationary Time Series
General Partial Label Learning via Dual Bipartite Graph Autoencoder
Estimating Average Causal Effects from Patient Trajectories
Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs
CAR-Transformer: Cross-Attention Reinforcement Transformer for Cross-Lingual Summarization
Diagnosing and Improving Topic Models by Analyzing Posterior Variability
Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks
Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance
Low-Rank Semidefinite Programming for the MAX2SAT Problem
An Expert System for Chorale Harmonization
Listwise Learning to Rank Based on Approximate Rank Indicators
Contrastive Masked Autoencoders for Self-Supervised Video Hashing
Multidisciplinary Workshop on Advances in Preference Handling, Papers from the 2014 AAAI Workshop, MPREF@AAAI, July 28, 2014, Quebec City, Canada
Learning Fully Dense Neural Networks for Image Semantic Segmentation
Comprehension-Driven Generation of Meta-Technical Utterances in Math Tutoring