yusuke1997/dblp-id-title huggingface dataset:
Robust Online Matching with User Arrival Distribution Drift
AUC Maximization for Low-Resource Named Entity Recognition
SUF: Stabilized Unconstrained Fine-Tuning for Offline-to-Online Reinforcement Learning
Distributionally Robust Counterfactual Risk Minimization
Fine-Grained Perception in Panoramic Scenes: A Novel Task, Dataset, and Method for Object Importance Ranking
An Inherently Explainable Model for Video Activity Interpretation
Co-GCN for Multi-View Semi-Supervised Learning
Architectural Mechanisms for Situated Natural Language Understanding in Uncertain and Open Worlds
Differentially Describing Groups of Graphs
A Unified Pretraining Framework for Passage Ranking and Expansion
GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM
An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing
Out of Length Text Recognition with Sub-String Matching
Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks
A Benchmark and Asymmetrical-Similarity Learning for Practical Image Copy Detection
Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
Unsupervised Region-Based Image Editing of Denoising Diffusion Models
Learning Adjustment Sets from Observational and Limited Experimental Data
Fairness Shields: Safeguarding against Biased Decision Makers
A Demonstration of the "Circuit Fix-it Shoppe"
Adaptive Knowledge Transfer for Multiple Instance Learning in Image Classification
Collaborative Models for Referring Expression Generation in Situated Dialogue
Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization
IdProv: Identity-Based Provenance for Synthetic Image Generation (Student Abstract)
Learning to Manipulate Under Limited Information
Deriving Properties of Belief Update from Theories of Action
Demystifying the Chinese Social Credit System: A Case Study on AI-Powered Control Systems in China
Learning CPG Sensory Feedback with Policy Gradient for Biped Locomotion for a Full-Body Humanoid
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning
Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference
Tracking Idea Flows between Social Groups
Combining Local Search and Backtracking Techniques for Constraint Satisfaction
Pose as a Modality: A Psychology-Inspired Network for Personality Recognition with a New Multimodal Dataset
Multi-Agent Learning in Non-Cooperative Domains
Towards Continual Knowledge Graph Embedding via Incremental Distillation
WebVLN: Vision-and-Language Navigation on Websites
MLVCNN: Multi-Loop-View Convolutional Neural Network for 3D Shape Retrieval
Towards Versatile Pedestrian Detector with Multisensory-Matching and Multispectral Recalling Memory
An Evolutionary Algorithm Based Framework for Task Allocation in Multi-Robot Teams
Advancements in AI for Reasoning with Complex Data
Multi-Target Detection and Recognition by UAVs Using Online POMDPs
Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning
AI-Empowered Decision Support for COVID-19 Social Distancing
Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks
Better Generalized Few-Shot Learning Even without Base Data
Proceedings of the 6th National Conference on Artificial Intelligence. Seattle, WA, USA, July 1987
Inference-Based Deterministic Messaging For Multi-Agent Communication
Boundary Enhanced Neural Span Classification for Nested Named Entity Recognition
A Fixed-Point Approach to Unified Prompt-Based Counting
An Optimal Transport-based Latent Mixer for Robust Multi-modal Learning
Emergent Quantized Communication
Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans
KPNet: Towards Minimal Face Detector
Acquiring Knowledge from Pre-Trained Model to Neural Machine Translation
Controlling Communication in Distributed Planning Using Irrelevance Reasoning
On Effort in AI Research: A Description Along Two Dimensions
Semi-Discrete Social Recommendation (Student Abstract)
Projection-free Online Learning in Dynamic Environments
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection
DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts
SymChaff: A Structure-Aware Satisfiability Solver
Active Reward Learning from Multiple Teachers
Investigating Inner Properties of Multimodal Representation and Semantic Compositionality With Brain-Based Componential Semantics
Digital Twin-Driven Teat Localization and Shape Identification for Dairy Cow (Student Abstract)
Heterogeneous Graph Structure Learning for Graph Neural Networks
Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation
Latent Space Evolution under Incremental Learning with Concept Drift (Student Abstract)
Scholarly Big Data: AI Perspectives, Challenges, and Ideas, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January, 2015
Neural Simile Recognition with Cyclic Multitask Learning and Local Attention
Understanding Annotator Perception: Modeling Psychological Inference from First- and Third-Person Annotations (Student Abstract)
Residual Neural Processes
A Novel Model for Imbalanced Data Classification
Learning to Address Health Inequality in the United States with a Bayesian Decision Network
Towards a Unified Framework for Syntactic Inconsistency Measures
UniMuMo: Unified Text, Music, and Motion Generation
Asynchronous Doubly Stochastic Sparse Kernel Learning
Amodal Scene Analysis via Holistic Occlusion Relation Inference and Generative Mask Completion
Detecting Cyberattack Entities from Audit Data via Multi-View Anomaly Detection with Feedback
Cascade Network with Guided Loss and Hybrid Attention for Finding Good Correspondences
Evolutionary Machine Learning for RTS Game StarCraft
A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders
AutoSTL: Automated Spatio-Temporal Multi-Task Learning
PoseMamba: Monocular 3D Human Pose Estimation with Bidirectional Global-Local Spatio-Temporal State Space Model
Learning Adversarially Robust Sparse Networks via Weight Reparameterization
Analysis of Privacy Loss in Distributed Constraint Optimization
Probabilistic Plan Graph Heuristic for Probabilistic Planning
Towards Safe and Resilient Autonomy in Multi-Robot Systems
KID-Review: Knowledge-Guided Scientific Review Generation with Oracle Pre-training
Small Language Model Can Self-Correct
An Iterative Algorithm for Synthesizing Invariants
Unsupervised Multi-Manifold Clustering by Learning Deep Representation
Progress and Limitations of Deep Networks to Recognize Objects in Unusual Poses
Learning and Planning under Uncertainty for Conservation Decisions
Online Non-Monotone DR-Submodular Maximization
Inductive Graph Neural Networks for Spatiotemporal Kriging
The Promise of Serverless Computing within Peer-to-Peer Architectures for Distributed ML Training
Solving Transition-Independent Multi-Agent MDPs with Sparse Interactions
The Use of Intelligently Controlled Simulation to Predict a Machine's Long-Term Behavior
A New Approach to Tracking 3D Objects in 2D Image Sequences
Compositional Inversion for Stable Diffusion Models
Improved Algorithms for Optimal Winner Determination in Combinatorial Auctions and Generalizations
GraphGAN: Graph Representation Learning With Generative Adversarial Nets
Preferential Semantics for Goals
Distributed Situation Awareness for Multi-agent Mission in Dynamic Environments: A Case Study of Multi-UAVs Wildfires Searching
ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs
Functionality in Neural Nets
Real-Time Symbolic Dynamic Programming
Unveiling the Knowledge of CLIP for Training-Free Open-Vocabulary Semantic Segmentation
Multimodal Interaction-Aware Trajectory Prediction in Crowded Space
CPM: Context-Aware Power Management in WLANs
Robust Loss Functions under Label Noise for Deep Neural Networks
Learning Sparse Task Relations in Multi-Task Learning
When Suboptimal Rules
CP-Rec: Contextual Prompting for Conversational Recommender Systems
Refined Characterizations of Approval-Based Committee Scoring Rules
A Scalable and Effective Alternative to Graph Transformers
Self-Supervised Acquisition of Vowels in American English
An Analysis of Approval-Based Committee Rules for 2D-Euclidean Elections
A Representation of Action Structures
Hack and Kluge
Transfer Learning for Efficient Iterative Safety Validation
TETRIS: Towards Exploring the Robustness of Interactive Segmentation
Item-Level Social Influence Prediction with Probabilistic Hybrid Factor Matrix Factorization
Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution
A Cyclic Weighted Median Method for L1 Low-Rank Matrix Factorization with Missing Entries
Quick Shaving
Hierarchical Reinforcement Learning for Course Recommendation in MOOCs
Progress and Challenges in Research on Cognitive Architectures
Making Natural Language Reasoning Explainable and Faithful
Comparing Vision Transformers and Convolutional Nets for Safety Critical Systems
TIELT: A Testbed for Gaming Environments
A Theoretical Analysis of the Repetition Problem in Text Generation
Bounding the Support Size in Extensive Form Games with Imperfect Information
QUICKXPLAIN: Preferred Explanations and Relaxations for Over-Constrained Problems
Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks
MaskViM: Domain Generalized Semantic Segmentation with State Space Models
Large Scale Spectral Clustering with Landmark-Based Representation
Universal Features Guided Zero-Shot Category-Level Object Pose Estimation
Imitation Learning from Observation
Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering
Online Markov Decision Processes Configuration with Continuous Decision Space
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction
InstantPainting: Expanding GANs for Efficient Text-Conditioned Image Generation Platform
Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates
Deepfake Video Detection via Facial Action Dependencies Estimation
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning
A Socially Relevant Focused AI Curriculum Designed for Female High School Students
The STRIPS Assumption for Planning Under Uncertainty
Nonmanipulable Randomized Tournament Selections
GraphER: Token-Centric Entity Resolution with Graph Convolutional Neural Networks
Neural Conformal Control for Time Series Forecasting
Inference Graphs: Combining Natural Deduction and Subsumption Inference in a Concurrent Reasoner
Avoiding Tests for Subsumption
Towards Bridging Sample Complexity and Model Capacity
Towards Reusable Network Components by Learning Compatible Representations
Sequential Incremental-Value Auctions
FedSum: Data-Efficient Federated Learning Under Data Scarcity Scenario for Text Summarization
Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds
Crops Selection for Optimal Soil Planning using Multiobjective Evolutionary Algorithms
Relaxed Survey Propagation: A Sum-Product Algorithm for Max-SAT
3D Crowd Counting via Multi-View Fusion with 3D Gaussian Kernels
Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning
A Generalized Student-t Based Approach to Mixed-Type Anomaly Detection
Joint Inference over a Lightly Supervised Information Extraction Pipeline: Towards Event Coreference Resolution for Resource-Scarce Languages
Boosting Point Clouds Rendering via Radiance Mapping
A Calculus for Computing Structured Justifications for Election Outcomes
Bidirectional Search That Is Guaranteed to Meet in the Middle
Spherical Pseudo-Cylindrical Representation for Omnidirectional Image Super-resolution
Modelling Familiarity for Intelligent Personalized Social Mobilization
Using the Shapley Value to Analyze Algorithm Portfolios
Qualitative Reasoning With Higher-Order Derivatives
The Discovery of the Causes of Leprosy: A Computational Analysis
Certifying the True Error: Machine Learning in Coq with Verified Generalization Guarantees
Hey, Siri! Why Are You Biased against Women? (Student Abstract)
Learning and Representation Change
Multi-Document Summarization Based on Two-Level Sparse Representation Model
A Conversational Model of Multimodal Interaction in Information Systems
BEVStereo: Enhancing Depth Estimation in Multi-View 3D Object Detection with Temporal Stereo
Truthful Cake Sharing
Market Design for Drone Traffic Management
Attention Biasing and Context Augmentation for Zero-Shot Control of Encoder-Decoder Transformers for Natural Language Generation
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks
Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program
Constraint-Theorems on the Prototypification of Shape
Distributed Representation of Syntactic Structure by Tensor Product Representation and Non-Linear Compression
Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent Confounding
Semi-Supervised Ensemble Ranking
Structural Information Guided Multimodal Pre-training for Vehicle-Centric Perception
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference
Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract)
Proportional Decisions in Perpetual Voting
Greedy Linear Value-Approximation for Factored Markov Decision Processes
AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning
Hypothesis Exploration for Malware Detection Using Planning
Quantificational Logic of Context
Giving Advice to People in Path Selection Problems
What's Hot in Intelligent User Interfaces
Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models
A Unified Framework for Planning and Execution-Monitoring of Mobile Robots
To Max or Not to Max: Online Learning for Speeding Up Optimal Planning
Finding Answers and Generating Explanations for Complex Biomedical Queries
When Do Envy-Free Allocations Exist?
A Local Non-Negative Pursuit Method for Intrinsic Manifold Structure Preservation
Inter-Temporal Incentives in Security Information Sharing Agreements
Bayesian Optimization Meets Search Based Optimization: A Hybrid Approach for Multi-Fidelity Optimization
Concepts From Time Series
AWDRAT: A Cognitive Middleware System for Information Survivability
Conceptualized and Contextualized Gaussian Embedding
CEE-Net: Complementary End-to-End Network for 3D Human Pose Generation and Estimation
Diversified Dynamical Gaussian Process Latent Variable Model for Video Repair
Towards Fairer Centroids in K-means Clustering
Automatic Building and Labeling of HD Maps with Deep Learning
Collective Information
Modeling Deep Learning Based Privacy Attacks on Physical Mail
Interpretable Graph Capsule Networks for Object Recognition
Crossing Boundaries: Multi-Level Introspection in a Complex Robotic Architecture for Automatic Performance Improvements
Modeling Bounded Rationality of Agents During Interactions
Principle-Based Interpretation of Natural Language Quantifiers
Learning to Count Isomorphisms with Graph Neural Networks
Refining Tournament Solutions via Margin of Victory
Reinforcement Learning and Data-Generation for Syntax-Guided Synthesis
PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning
Generative Adversarial Network for Abstractive Text Summarization
Interpolating Graph Pair to Regularize Graph Classification
Optimal and Efficient Binary Questioning for Accelerated Annotation
Dempster-Shafer and Bayesian Network for CAD-Based Feature Extraction: A Comparative Investigation and Analysis
Reliable Multi-View Clustering
Solving Advanced Argumentation Problems with Answer-Set Programming
Criticality-Based Advice in Reinforcement Learning (Student Abstract)
Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates
Generalisation through Negation and Predicate Invention
An Architecture for Hybrid Planning and Execution
Graph Neural Network to Dilute Outliers for Refactoring Monolith Application
Semi-supervised Medical Image Segmentation through Dual-task Consistency
Adaptive Planning with Evidence Based Prediction for Improved Fluency in Routine Human-Robot Collaborative Tasks
Representation Learning Based Predicate Invention on Knowledge Graphs
Enhancing the Privacy of Predictors
Comparing Symbolic Models of Language via Bayesian Inference (Student Abstract)
Dynamic Knowledge Graph Alignment
Two New Local Search Strategies for Minimum Vertex Cover
Project Scheduling in Complex Business Environments
Scaling Up: Distributed Machine Learning with Cooperation
Automated Workflow Synthesis
Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks
Effective Approaches for Partial Satisfaction (Over-Subscription) Planning
TB-HSU: Hierarchical 3D Scene Understanding with Contextual Affordances
Combining Multiple Concurrent Physiological Streams to Assessing Patients Condition
Why Do Children Misunderstand Reversible Passives? The CHILD Program Learns to Understand Passive Sentences
A Machine Learning Method for EV Range Prediction with Updates on Route Information and Traffic Conditions
TapNet: Multivariate Time Series Classification with Attentional Prototypical Network
Verb Pattern: A Probabilistic Semantic Representation on Verbs
Monitoring Plan Optimality Using Landmarks and Domain-Independent Heuristics
Intelligent Command Control for VLSI CAD Systems
Stable Feature Selection from Brain sMRI
The Next Best Solution
Adaptive Co-attention Network for Named Entity Recognition in Tweets
LLaVA Needs More Knowledge: Retrieval Augmented Natural Language Generation with Knowledge Graph for Explaining Thoracic Pathologies
AMOM: Adaptive Masking over Masking for Conditional Masked Language Model
Learning to Anticipate and Avoid Planning Problems through the Explanation of Failures
SOFIA's Choice: An AI Approach to Scheduling Airborne Astronomy Observations
Code Representation Learning Using Prüfer Sequences (Student Abstract)
CAFE: Adaptive VDI Workload Prediction with Multi-Grained Features
Achieving Speed-Accuracy Balance in Vision-based 3D Occupancy Prediction via Geometric-Semantic Disentanglement
TEINet: Towards an Efficient Architecture for Video Recognition
Faithful to the Original: Fact Aware Neural Abstractive Summarization
Solving QBF Instances with Nested SAT Solvers
Learning to Connect Language and Perception
Toward A Collaborative AI Framework for Assistive Dementia Care
Duplicate Question Identification by Integrating FrameNet With Neural Networks
A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues
Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations
Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions
A Model for Aggregating Contributions of Synergistic Crowdsourcing Workflows
Artificial Intelligence for Artificial Artificial Intelligence
Diversified Interactive Recommendation with Implicit Feedback
Efficient Decentralized Stochastic Gradient Descent Method for Nonconvex Finite-Sum Optimization Problems
Sleep-Like Unsupervised Replay Improves Performance When Data Are Limited or Unbalanced (Student Abstract)
Cross-PCR: A Robust Cross-Source Point Cloud Registration Framework
Cloud Resource Management Using Constraints Acquisition and Planning
Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits
Transductive Zero-Shot Learning via Visual Center Adaptation
Modeling Attention and Memory for Auditory Selection in a Cocktail Party Environment
Task Contamination: Language Models May Not Be Few-Shot Anymore
Contrastive Attention Networks for Attribution of Early Modern Print
No Modes Left Behind: Capturing the Data Distribution Effectively Using GANs
Safe Search for Stackelberg Equilibria in Extensive-Form Games
Tuning-Free Inversion-Enhanced Control for Consistent Image Editing
Separating Wheat from Chaff: Joining Biomedical Knowledge and Patient Data for Repurposing Medications
Novelty vs. Potential Heuristics: A Comparison of Hardness Measures for Satisficing Planning
An Introduction to Rule-Based Feature and Object Perception for Middle School Students
Approximating OWL-DL Ontologies
Modelling and Solving Online Optimisation Problems
A Problem-Solver for Making Advice Operational
Learning Perceptual Causality from Video
Continual Learning Using a Kernel-Based Method Over Foundation Models
Compose with Me: Collaborative Music Inpainter for Symbolic Music Infilling
Synthetic Depth Transfer for Monocular 3D Object Pose Estimation in the Wild
Sequence to Sequence Reward Modeling: Improving RLHF by Language Feedback
Local Search for Optimal Global Map Generation Using Mid-Decadal Landsat Images
Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark
On the utility of Plan-space (Causal) Encodings
Voting on Multiattribute Domains with Cyclic Preferential Dependencies
Linguistic Fingerprints of Internet Censorship: The Case of Sina Weibo
Solving the Inferential Frame Problem in the General Game Description Language
On Undisputed Sets in Abstract Argumentation
DuMLP-Pin: A Dual-MLP-Dot-Product Permutation-Invariant Network for Set Feature Extraction
JFB: Jacobian-Free Backpropagation for Implicit Networks
Towards Certificated Model Robustness Against Weight Perturbations
Toplogical Data Analysis Detects and Classifies Sunspots (Student Abstract)
Bridge Diffusion Model: Bridge Chinese Text-to-Image Diffusion Model with English Communities
Combining Real-Time Segmentation and Classification of Rehabilitation Exercises with LSTM Networks and Pointwise Boosting
Telepath: Understanding Users from a Human Vision Perspective in Large-Scale Recommender Systems
DTMT: A Novel Deep Transition Architecture for Neural Machine Translation
Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer
GAAMA 2.0: An Integrated System That Answers Boolean and Extractive Questions
UNIPoint: Universally Approximating Point Processes Intensities
DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification
Reliable Propagation-Correction Modulation for Video Object Segmentation
Validation of Hierarchical Plans via Parsing of Attribute Grammars
Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation
Linking Social Networks on the Web with FOAF: A Semantic Web Case Study
Graduate Employment Prediction with Bias
ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction
Siamese BERT-Based Model for Web Search Relevance Ranking Evaluated on a New Czech Dataset
TRM: Computing Reputation Score by Mining Reviews
A Distillation Approach to Data Efficient Individual Treatment Effect Estimation
Towards Safe Policy Learning under Partial Identifiability: A Causal Approach
Metacognition in Software Agents Using Classifier Systems
Jim: A Platform for Affective AI in an Interdisciplinary Setting
Population Aware Diffusion for Time Series Generation
Robot Navigation with a Polar Neural Map
Minimally Invasive Randomization fro Collecting Unbiased Preferences from Clickthrough Logs
A Parameterized Complexity Analysis of Generalized CP-Nets
A Logic of Implicit and Explicit Belief
Understanding Over Participation in Simple Contests
Robust Execution on Contingent, Temporally Flexible Plans
Gradient-Based Optimization for Bayesian Preference Elicitation
Bounding the False Discovery Rate in Local Bayesian Network Learning
SemLa: A Visual Analysis System for Fine-Grained Text Classification
EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering
Learning to Interact With Learning Agents
Parameterized Complexity of Caching in Networks
Learning Face Hallucination in the Wild
Argument Mining from Speech: Detecting Claims in Political Debates
Dynamic Structure Pruning for Compressing CNNs
Slashpack: An Integrated Tool for Gathering and Managing Hypertext Data
Memory-Reduced Meta-Learning with Guaranteed Convergence