yusuke1997/dblp-id-title huggingface dataset:
Making Robotic Sense of Incomplete Human Instructions in High-Level Programming for Industrial Robotic Assembly
NeVAE: A Deep Generative Model for Molecular Graphs
Laughing with HAHAcronym, a Computational Humor System
Learning Generalized Plans Using Abstract Counting
Title Learning Latent Subevents in Activity Videos Using Temporal Attention Filters
Sampling Beats Fixed Estimate Predictors for Cloning Stochastic Behavior in Multiagent Systems
Research of Event Reconstruct Based on Multi-View Contrastive Learning (Student Abstract)
Statistical Spatially Inhomogeneous Diffusion Inference
A Hierarchical Approach to Multi-Event Survival Analysis
Learning by Chunking: Summary of a Task and a Model
Oblivious PAC Learning of Concept Hierarchies
Best-Response Planning of Thermostatically Controlled Loads under Power Constraints
New Off-Board Solution for Predicting Vehicles' Intentions in the Highway On-Ramp Using Probabilistic Classifiers (Student Abstract)
RemDet: Rethinking Efficient Model Design for UAV Object Detection
HOGSA: Bimanual Hand-Object Interaction Understanding with 3D Gaussian Splatting Based Data Augmentation
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces
Theory of Mind: A Familiar Aspect of Humanity to Give Machines
Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects
Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition
iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection
Variational Adversarial Kernel Learned Imitation Learning
Distinguishing Homophenes Using Multi-Head Visual-Audio Memory for Lip Reading
CoCoA: A Non-Iterative Approach to a Local Search (A)DCOP Solver
SPEX: A Second-Generation Experiment Design System
Multi-Objective Reinforcement Learning with Continuous Pareto Frontier Approximation
T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking
We Don't Speak the Same Language: Interpreting Polarization through Machine Translation
Label Hallucination for Few-Shot Classification
Top-Down Deep Clustering with Multi-Generator GANs
AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries
MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation
Continuous Conditional Dependency Network for Structured Regression
Concept-Based Feature Generation and Selection for Information Retrieval
Constructing Hierarchical Bayesian Networks With Pooling
A Real-Time Technique for Positioning a Wheelchair-Mounted Robotic Arm for Household Manipulation Tasks
Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval
Living Up To Expectations: Computing Expert Responses
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning
Multimodal Fusion Using Multi-View Domains for Data Heterogeneity in Federated Learning
RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface
A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning
Abstraction of Situation Calculus Concurrent Game Structures
DASK: Distribution Rehearsing via Adaptive Style Kernel Learning for Exemplar-Free Lifelong Person Re-Identification
Bundling Attacks in Judgment Aggregation
An Annotated Corpus of Reference Resolution for Interpreting Common Grounding
GLAD: Improving Latent Graph Generative Modeling with Simple Quantization
Fair Training with Zero Inputs
Greedy-Based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees
Personalized LoRA for Human-Centered Text Understanding
Diagnosing Circuits With State: An Inherently Underconstrained Problem
Author Homepage Discovery in CiteSeerX
Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae
Twitter Summarization Based on Social Network and Sparse Reconstruction
Using Timed Game Automata to Synthesize Execution Strategies for Simple Temporal Networks with Uncertainty
Focus on Local: Finding Reliable Discriminative Regions for Visual Place Recognition
Brain Decoding Using fNIRS
The Multi-Purpose Incremental Learning System AQ15 and Its Testing Application to Three Medical Domains
Policy Search by Target Distribution Learning for Continuous Control
Observe Before Play: Multi-Armed Bandit with Pre-Observations
Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data
The Many Faces of Adversarial Machine Learning
Complexity-Guided Case Discovery for Case Based Reasoning
Leveraging Asynchronous Spiking Neural Networks for Ultra Efficient Event-Based Visual Processing
Robust Causal Graph Representation Learning against Confounding Effects
Cached Iterative Weakening for Optimal Multi-Way Number Partitioning
Virtual Try-On: Real-Time Interactive Hybrid Network with High-Fidelity
ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation
Infer the Whole from a Glimpse of a Part: Keypoint-Based Knowledge Graph for Vehicle Re-Identification
Understanding and Predicting Retractions of Published Work
Semantic Lexicon Induction from Twitter with Pattern Relatedness and Flexible Term Length
Interpretation in Generation
MapExpert: Online HD Map Construction with Simple and Efficient Sparse Map Element Expert
Neurons to Words: A Novel Method for Automated Neural Network Interpretability and Alignment
Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking
Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize
A Logic for Hypothetical Reasoning
Visual and Spatial Factors in a Bayesian Reasoning Framework for the Recognition of Intended Messages in Grouped Bar Charts
SafeInfer: Context Adaptive Decoding Time Safety Alignment for Large Language Models
Selective Perception for Robot Driving
Deep Style Transfer for Line Drawings
RadarMOSEVE: A Spatial-Temporal Transformer Network for Radar-Only Moving Object Segmentation and Ego-Velocity Estimation
Efficient Spatio-Temporal Tactile Object Recognition with Randomized Tiling Convolutional Networks in a Hierarchical Fusion Strategy
Chemical and Textual Embeddings for Drug Repurposing
Improved Metric Distortion via Threshold Approvals
Pattern-Based Variant-Best-Neighbors Respiratory Motion Prediction Using Orthogonal Polynomials Approximation
Context-Aware Safe Medication Recommendations with Molecular Graph and DDI Graph Embedding
CAO: A Fully Automatic Emoticon Analysis System
Repairing Ontologies via Axiom Weakening
PhysDiff: Physiology-based Dynamicity Disentangled Diffusion Model for Remote Physiological Measurement
Integrating Planning and Recognition to Close the Interaction Loop
A Distributed Approach to Summarizing Spaces of Multiagent Schedules
Controlled School Choice with Soft Bounds and Overlapping Types
SVFI: Spiking-Based Video Frame Interpolation for High-Speed Motion
AnchorFace: Boosting TAR@FAR for Practical Face Recognition
Decision-Theoretic Plan Failure Debugging and Repair
Distraction-Aware Feature Learning for Human Attribute Recognition via Coarse-to-Fine Attention Mechanism
Hierarchical Cross-Modality Semantic Correlation Learning Model for Multimodal Summarization
Iterated Phantom Induction: A Little Knowledge Can Go a Long Way
Unsupervised Categorization (Filtering) of Google Images Based on Visual Consistency
Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation
Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks
Target-Aware Tracking with Long-Term Context Attention
Scaling Up Pareto Optimization for Tree Structures with Affine Transformations: Evaluating Hybrid Floating Solar-Hydropower Systems in the Amazon
RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction
Addressing the Technical, Philosophical, and Ethical Issues of Artificial Intelligence Through Active Learning Class Assignments
Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition
Inception LSTM for Next-frame Video Prediction (Student Abstract)
What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models
Certifying Parity Reasoning Efficiently Using Pseudo-Boolean Proofs
Generalized Hidden Parameter MDPs: Transferable Model-Based RL in a Handful of Trials
Extraction of Competing Models using Distant Supervision and Graph Ranking
Reasoning about Partially Observed Actions
Auto-Weighted Multi-View Clustering for Large-Scale Data
Aligning Geometric Spatial Layout in Cross-View Geo-Localization via Feature Recombination
Training Verification-Friendly Neural Networks via Neuron Behavior Consistency
PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering
Identifying, Mitigating, and Anticipating Bias in Algorithmic Decisions
Guiding the One-to-One Mapping in CycleGAN via Optimal Transport
DEC-A*: A Decentralized A* Algorithm
A Layer-Based Sequential Framework for Scene Generation with GANs
Results on Controlling Action with Projective Visualization
Robust Deep Co-Saliency Detection with Group Semantic
An Algorithm to Coordinate Measurements Using Stochastic Human Mobility Patterns in Large-Scale Participatory Sensing Settings
Relative Utility of EBG based Plan Reuse in Partial Ordering vs. Total Ordering Planning
Optimizing Payments in Dominant-Strategy Mechanisms for Multi-Parameter Domains
Deep Time-Stream Framework for Click-through Rate Prediction by Tracking Interest Evolution
Formal Verification of Pure Production System Programs
PegasusN: A Scalable and Versatile Graph Mining System
Error-Correcting Output Codes: A General Method for Improving Multiclass Inductive Learning Programs
Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data
Fuzzy C-means: Differences on Clustering Behavior between High Dimensional and Functional Data (Student Abstract)
Natural Strategic Ability in Stochastic Multi-Agent Systems
Exact ASP Counting with Compact Encodings
A Semantic QA-Based Approach for Text Summarization Evaluation
A Probabilistic Hierarchical Model for Multi-View and Multi-Feature Classification
PROBCONS: Probabilistic Consistency-Based Multiple Alignment of Amino Acid Sequences
Predicting UNIX Command Lines: Adjusting to User Patterns
A Testbed for Learning by Demonstration from Natural Language and RGB-Depth Video
Reverse-Engineering Satire, or "Paper on Computational Humor Accepted despite Making Serious Advances"
Disjunctive Temporal Reasoning in Partially Ordered Models of Time
MIP-Nets: Enabling Information Sharing in Loosely-Coupled Teamwork
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification
A Cognitive Assistant for Visualizing and Analyzing Exoplanets
Domain-Adapted Dependency Parsing for Cross-Domain Named Entity Recognition
Time Series Contrastive Learning with Information-Aware Augmentations
Do We Need a New Large-Scale Quality Assessment Database for Generative Inpainting Based 3D View Synthesis? (Student Abstract)
A Comprehensive Evaluation on Event Reasoning of Large Language Models
Using Benson's Algorithm for Regularization Parameter Tracking
Co-Progression Knowledge Distillation with Knowledge Prototype for Industrial Anomaly Detection
Multi-Party Campaigning
A Constraint Satisfaction Approach to Geospatial Reasoning
Unsupervised Learning of Discourse Structures using a Tree Autoencoder
An Integrated Shell and Methodology for Rapid Development of Knowledge-Based Agents
CLARE: A Joint Approach to Label Classification and Tag Recommendation
Interactive Information Extraction with Constrained Conditional Random Fields
Robust Decision Making under Strategic Uncertainty in Multiagent Environments
Evaluating the Performance of Presumed Payoff Perfect Information Monte Carlo Sampling Against Optimal Strategies
Reinforcement Learning of Coordination in Cooperative Multi-Agent Systems
XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors
AIF-SFDA: Autonomous Information Filter Driven Source-Free Domain Adaptation for Medical Image Segmentation
RES: An Interpretable Replicability Estimation System for Research Publications
Towards Universal Languages for Tractable Ontology Mediated Query Answering
An Empirical Analysis of Terminological Representation Systems
Counting Complexity for Reasoning in Abstract Argumentation
Strong Equivalence for Epistemic Logic Programs Made Easy
ExpCLIP: Bridging Text and Facial Expressions via Semantic Alignment
Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation
Multi-Feature Discrete Collaborative Filtering for Fast Cold-Start Recommendation
Solving a Real-life Nurses Time Tabling and Transportation Problem Using Distributed CSP Techniques
Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs
Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives
Training Set Debugging Using Trusted Items
Friendly Attacks to Improve Channel Coding Reliability
The Übercruncher: Concept Formation by Analogy Discovery
Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data
Self-Supervised Sketch-to-Image Synthesis
Language Model Meets Prototypes: Towards Interpretable Text Classification Models through Prototypical Networks
High Significant Fault Detection in Azure Core Workload Insights
Towards Enabling Learnware to Handle Unseen Jobs
An Unsupervised Framework of Exploring Events on Twitter: Filtering, Extraction and Categorization
Truth, Justice, and Cake Cutting
Gradient-Variation Bound for Online Convex Optimization with Constraints
Representing Actions with an Assumption-Based Truth Maintenance System
QAagent: A Multiagent System for Unit Test Generation via Natural Language Pseudocode (Student Abstract)
On Supporting the Use of Procedures in Office Work
Text Matching as Image Recognition
Scene Text Detection with Supervised Pyramid Context Network
GAN Prior Based Null-Space Learning for Consistent Super-resolution
A Logical Theory of Coordination and Joint Ability
Fair Stable Matchings Under Correlated Preferences (Student Abstract)
Detailed Facial Geometry Recovery from Multi-View Images by Learning an Implicit Function
Positions, Channels, and Layers: Fully Generalized Non-Local Network for Singer Identification
Using Explainable AI and Hierarchical Planning for Outreach with Robots
Similar Modality Enhancement and Action Consistency Learning for Weakly Supervised Temporal Action Localization
LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion
Approximating Revenue-Maximizing Combinatorial Auctions
HVAdam: A Full-Dimension Adaptive Optimizer
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset
Learning to Branch in Mixed Integer Programming
S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment
Learning Semantic Alignment with Global Modality Reconstruction for Video-Language Pre-training towards Retrieval
The 2001 Trading Agent Competition
Cross-Language Latent Relational Search: Mapping Knowledge across Languages
Knowledge Compilation in the Modal Logic S5
Finite-State Controllers Based on Mealy Machines for Centralized and Decentralized POMDPs
Artificial Intelligence and Ethics, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January 25, 2015
Probability-Polarized Optimal Transport for Unsupervised Domain Adaptation
Adversarial Attacks on the Interpretation of Neuron Activation Maximization
DoGA: Enhancing Grounded Object Detection via Grouped Pre-Training with Attributes
Microsummarization of Online Reviews: An Experimental Study
Universal Trading for Order Execution with Oracle Policy Distillation
Reasoning about Political Bias in Content Moderation
Enhancing the Adversarial Robustness via Manifold Projection
Interactive Multi-Consumer Power Cooperatives with Learning and Axiomatic Cost and Risk Disaggregation
Domain-Independent Construction of Pattern Database Heuristics for Cost-Optimal Planning
What Text Analysis Cannot Tell Us: The Importance of Observation in Understanding Creative Teams
A Knowledge-Based Framework for Design
Back to the Future: Toward a Hybrid Architecture for Ad Hoc Teamwork
Alignment-Free RGB-T Salient Object Detection: A Large-Scale Dataset and Progressive Correlation Network
Bringing UMAP Closer to the Speed of Light with GPU Acceleration
Predicting Mortality of Intensive Care Patients via Learning about Hazard
Speeding Up the NSGA-II with a Simple Tie-Breaking Rule
Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games
Parameterized Complexity Results for Plan Reuse
SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network
TGBFormer: Transformer-GraphFormer Blender Network for Video Object Detection
Using Clustering Methods for Discovering Event Structures
A Set of Control Points Conditioned Pedestrian Trajectory Prediction
Machine Reading: A "Killer App" for Statistical Relational AI
Connection Machine Stereomatching
Deep Collective Inference
Knowledge-based Interactive Selling of Financial Services with FSAdvisor
VProChart: Answering Chart Question Through Visual Perception Alignment Agent and Programmatic Solution Reasoning
Hekateros: A Desktop 5 Degree-of-Freedom Robot Arm for the Small-Scale Manipulation Robot Chess Challenge
Semantics- and Syntax-Related Subvectors in the Skip-Gram Embeddings (Student Abstract)
Pengi: An Implementation of a Theory of Activity
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation
Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation
GAN Ensemble for Anomaly Detection
A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students' Formative Assessment Responses in Science
Angry Birds as a Challenge for Artificial Intelligence
Fast Iterative Combinatorial Auctions via Bayesian Learning
Understanding the Semantic Content of Sparse Word Embeddings Using a Commonsense Knowledge Base
When to Stop? That Is the Question
Knowledge Intensive Exception Spaces
Rules and Precedents as Complementary Warrants
Parameterized Complexity of Small Decision Tree Learning
Beyond Flickr: Not All Image Tagging Is Created Equal
Exploring Stroke-Level Modifications for Scene Text Editing
Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning
Multimedia Data for the Visually Impaired
Zero-Shot and Few-Shot Classification of Biomedical Articles in Context of the COVID-19 Pandemic
Manufacturing Processes Recognition of Machined Mechanical Parts using SVMs
The Shape of Art History in the Eyes of the Machine
Recognizing Plans with Loops Represented in a Lexicalized Grammar
Evaluating Search Methods Analytically
UP-Restorer: When Unrolling Meets Prompts for Unified Image Restoration
Exponential-Family Harmoniums with Neural Sufficient Statistics
Occupancy Grid Models for Robot Mapping in Changing Environments
Strong Mediated Equilibrium
Quantitative Extensions of the Condorcet Jury Theorem with Strategic Agents
Machine Learning for Entity Coreference Resolution: A Retrospective Look at Two Decades of Research
Revising Imprecise Probabilistic Beliefs in the Framework of Probabilistic Logic Programming
Nonexistence of Voting Rules That Are Usually Hard to Manipulate
Panel: AI and Education
Ensemble Semi-supervised Entity Alignment via Cycle-Teaching
Mulitmodal Interaction for Distributed Interactive Simulation
Influential Exemplar Replay for Incremental Learning in Recommender Systems
Promoting Counterfactual Robustness through Diversity
Interpretable Sequence Classification via Discrete Optimization
Epitomic Image Super-Resolution
RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments
Boosted Wrapper Induction
Evaluating Temporal Plans in Incomplete Domains
Learning from an Infant's Visual Experience
Structural Knowledge Discovery in Chemical and Spatio-Temporal Databases
Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation
A Mechanism Design Approach to Measure Awareness
TransNFCM: Translation-Based Neural Fashion Compatibility Modeling
Do Convolutional Networks Need to Be Deep for Text Classification?
Building Collaborative Strategies via Imitation
Cross-Lingual Entity Linking for Web Tables
Factual Knowledge For Developing Concurrent Programs
Strong Explanations in Abstract Argumentation
TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs
SA-BNN: State-Aware Binary Neural Network
URNet: User-Resizable Residual Networks with Conditional Gating Module
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided Inversion
Reinforcement Learning Explainability via Model Transforms (Student Abstract)
Word2Vec4Kids: Interactive Challenges to Introduce Middle School Students to Word Embeddings
Developing and Deploying Knowledge on a Global Scale
Shadow Generation with Decomposed Mask Prediction and Attentive Shadow Filling
Light-T2M: A Lightweight and Fast Model for Text-to-motion Generation
Window Loss for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation
Game-Theoretic Unlearnable Example Generator
Fostering Epistemic Insights into AI Ethics through a Constructionist Pedagogy: An Interdisciplinary Approach to AI Literacy
Hierarchical Double Dirichlet Process Mixture of Gaussian Processes
A Non-Convex Optimization Approach to Correlation Clustering
A Belief-Function Logic
VECA: A New Benchmark and Toolkit for General Cognitive Development
HodgeRank With Information Maximization for Crowdsourced Pairwise Ranking Aggregation
Solving a Supply Chain Optimization Problem Collaboratively
Explaining Propagators for String Edit Distance Constraints
Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions
Combining Inference and Search for the Propositional Satisfiability Problem
Parallel Restarted Search
Exploring Tuning Characteristics of Ventral Stream's Neurons for Few-Shot Image Classification
The Consistent Labeling Problem in Temporal Reasoning
Compact, Convex Upper Bound Iteration for Approximate POMDP Planning
Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models
Toward a Theoretical Understanding of Why and When Decision Tree Pruning Algorithms Fail
Congestion Games with Distance-Based Strict Uncertainty
Skin Cancer Detection and Tracking Using Data Synthesis and Deep Learning
EasySM: A Data-Driven Intelligent Decision Support System for Server Merge
Instance-Level Facial Attributes Transfer with Geometry-Aware Flow
An Analysis of Transformational Analogy: General Framework and Complexity
A Simple, Fast, and Safe Mediator for Congestion Management
Space Efficient Evaluation of ASP Programs with Bounded Predicate Arities
F³Net: Fusion, Feedback and Focus for Salient Object Detection
Progressive EM for Latent Tree Models and Hierarchical Topic Detection
Maintenance of Social Commitments in Multiagent Systems
Understanding Emotional Body Expressions via Large Language Models
Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks
Enabling Linked Data Publication with the Datalift Platform
Maximizing Revenue with Limited Correlation: The Cost of Ex-Post Incentive Compatibility
Revisiting Classifier: Transferring Vision-Language Models for Video Recognition
Accurate and Interpretable Factorization Machines
NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction
Demystify the Gravity Well in the Optimization Landscape (Student Abstract)
A New Algorithm for Optimal Bin Packing
On the Problem of Covering a 3-D Terrain
Word Embedding Based Correlation Model for Question/Answer Matching
Leveraging Large Vision-Language Model as User Intent-Aware Encoder for Composed Image Retrieval
Abstract Preference Frameworks - a Unifying Perspective on Separability and Strong Equivalence
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) (Student Abstract)