yusuke1997/dblp-id-title huggingface dataset:
Evolutionary Large Language Model for Automated Feature Transformation
SimCS: Simulation for Domain Incremental Online Continual Segmentation
Recovering from Erroneous Inferences
Solving the Find-Path Problem by Good Representation of Free Space
Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks
Cryptographic Limitations on Learning One-Clause Logic Programs
Latent Diffusion-Enhanced Virtual Try-On via Optimized Pseudo-Label Generation
Collaborative Planning with Encoding of Users' High-Level Strategies
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail
Parametric Dual Maximization for Non-Convex Learning Problems
Automatic Text-Based Personality Recognition on Monologues and Multiparty Dialogues Using Attentive Networks and Contextual Embeddings (Student Abstract)
Multi-Label Supervised Contrastive Learning
Integrating Linguistic Knowledge to Sentence Paraphrase Generation
Integrating Neural Pathways for Learning in Deep Reinforcement Learning Models
Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles
Graph of Graphs: A New Knowledge Representation Mechanism for Graph Learning (Student Abstract)
Automated Assessment of Student Self-Explanation in Code Comprehension Using Pre-Trained Language Models
Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues
ADVISOR: A Machine Learning Architecture for Intelligent Tutor Construction
Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes
Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability
Video Diffusion Models Are Strong Video Inpainter
Recognition of Hand Drawn Chemical Diagrams
Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows
Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning
Self-Attention ConvLSTM for Spatiotemporal Prediction
Embodied Language Processing: A New Generation of Language Technology
Conflict Resolution and a Framework for Collaborative Interactive Evolution
Event Recommendation in Event-Based Social Networks
Generating Long Financial Report using Conditional Variational Autoencoders with Knowledge Distillation
Bilateral Gradual Semantics for Weighted Argumentation
Low-Light Image Enhancement Network Based on Multi-Scale Feature Complementation
Robust Combinatorial Auction Protocol against False-Name Bids
Primer AI's Systems for Acronym Identification and Disambiguation
Tactic-Based Motion Modeling and Multi-Sensor Tracking
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
TinyNeRF: Towards 100 x Compression of Voxel Radiance Fields
Achieving Long-Term Fairness in Sequential Decision Making
Learning to Purify Noisy Labels via Meta Soft Label Corrector
Approximating Bribery in Scoring Rules
Preference Planning for Markov Decision Processes
Robust Anomaly Detection in Videos Using Multilevel Representations
Achieving Balanced Representation in School Choice with Diversity Goals
A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators
Modeling Trust Evaluating Agents: Towards a Comprehensive Trust Management for Multi-agent Systems
Quantum Multi-Agent Meta Reinforcement Learning
Reshaping Diverse Planning
Is Your Autonomous Vehicle Safe? Understanding the Threat of Electromagnetic Signal Injection Attacks on Traffic Scene Perception
Video as Conditional Graph Hierarchy for Multi-Granular Question Answering
Leveraging RGB-D Data with Cross-Modal Context Mining for Glass Surface Detection
Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons
Learning by Failing to Explain
Autonomous Robot Skill Acquisition
Internal Activation Revision: Safeguarding Vision Language Models Without Parameter Update
Risk-Aware Scheduling throughout Planning and Execution
An Iterative Method for Reconstructing Convex Polyhedra From External Guassian Images
Online Cross-Modal Hashing for Web Image Retrieval
Automated Design of Affine Maximizer Mechanisms in Dynamic Settings
Synthesis of Orchestrations of Transducers for Manufacturing
SAME: Sample Reconstruction against Model Extraction Attacks
A Proposal-Based Approach for Activity Image-to-Video Retrieval
Nested Monte Carlo Search for Two-Player Games
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation
AsyncFL: Asynchronous Federated Learning Using Majority Voting with Quantized Model Updates (Student Abstract)
Training Temporal Word Embeddings with a Compass
DreaMark: Rooting Watermark in Score Distillation Sampling Generated Neural Radiance Fields
Tree-Clustering Schemes for Constraint-Processing
The Linear Distance Traveling Tournament Problem
Kernelized Online Imbalanced Learning with Fixed Budgets
LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition
DCILP: A Distributed Approach for Large-Scale Causal Structure Learning
Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction
SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection
Efficient Lightweight Image Denoising with Triple Attention Transformer
Quantum Binary Classification (Student Abstract)
MicroFiberDetect: An Application for the Detection of Microfibres in Wastewater Sludge Based on CNNs
Ontology Re-Engineering: A Case Study from the Automotive Industry
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA
Scaling Trends for Data Poisoning in LLMs
Adaptive-Grained Label Distribution Learning
Fast Algorithm for Modularity-Based Graph Clustering
A Multiview-Based Parameter Free Framework for Group Detection
DPLUT: Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors
Representing and Learning Grammars in Answer Set Programming
Towards Analyzing Adversarial Behavior in Clandestine Networks
Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization
Symmetry Breaking Constraints: Recent Results
Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph
Distributed Stochastic Gradient Descent with Event-Triggered Communication
H-DPOP: Using Hard Constraints for Search Space Pruning in DCOP
Panel: Are AI Systems Ready to Be Trusted in Critical Applications? (Will They Ever Be?)
Point-Teaching: Weakly Semi-supervised Object Detection with Point Annotations
Distributed Games: From Mechanisms to Protocols
Disjoint Label Space Transfer Learning with Common Factorised Space
Converge to the Truth: Factual Error Correction via Iterative Constrained Editing
SenseRun: Real-Time Running Routes Recommendation towards Providing Pleasant Running Experiences
Model Selection of Graph Signage Models Using Maximum Likelihood (Student Abstract)
Machine Learning for Intelligent Systems
The Complexity of Constraint Satisfaction in Prolog
Label Efficient Learning by Exploiting Multi-Class Output Codes
Turn-Taking in Discourse and Its Application To The Design of Intelligent Agents
Weakly Supervised Semantic Segmentation Using Superpixel Pooling Network
Neuro-Guided Graph Search for Symbolic Regression (Student Abstract)
Towards a Cognitive Model of Crowd Behavior Based on Social Comparison Theory
BARET: Balanced Attention Based Real Image Editing Driven by Target-Text Inversion
Search and Learn: Improving Semantic Coverage for Data-to-Text Generation
Motif-aware Graph Neural Networks for Networked Time Series Imputation
A Diffusion Model with State Estimation for Degradation-Blind Inverse Imaging
Face Sketch Synthesis From Coarse to Fine
Zero-Shot Event Detection by Multimodal Distributional Semantic Embedding of Videos
Mitigating the Impact of False Negative in Dense Retrieval with Contrastive Confidence Regularization
Preventing Strategic Manipulation in Iterative Auctions: Proxy Agents and Price-Adjustment
RelNN: A Deep Neural Model for Relational Learning
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation
A First-Order Theory of Stanislavskian Scene Analysis
Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence
A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis
Learning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and the Explanations
The Computational Complexity of Structure-Based Causality
Consistency and Set Intersection
On-line Planning and Scheduling: An Application to Controlling Modular Printers
Collective Multiagent Sequential Decision Making Under Uncertainty
Bridging Common Sense Knowledge Bases with Analogy by Graph Similarity
HICAP: An Interactive Case-Based Planning Architecture and its Application to Noncombatant Evacuation Operations
Adaptive Double-Exploration Tradeoff for Outlier Detection
Self-Organization of Innate Face Preferences: Could Genetics Be Expressed through Learning?
SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation
Defending against Backdoor Attacks in Natural Language Generation
Self-Supervised Enhancement of Latent Discovery in GANs
KAM-CoT: Knowledge Augmented Multimodal Chain-of-Thoughts Reasoning
LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction
StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding
Optimal Local Explainer Aggregation for Interpretable Prediction
Inference Fusion with Associative Semantics for Unseen Object Detection
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective
Detecting and Grounding Important Characters in Visual Stories
Style-Content Metric Learning for Multidomain Remote Sensing Object Recognition
Deep Latent Generative Models for Energy Disaggregation
Depthwise Convolution Is All You Need for Learning Multiple Visual Domains
How Not to Stitch Representations to Measure Similarity: Task Loss Matching Versus Direct Matching
Elastic-Link for Binarized Neural Networks
Controller-Guided Partial Label Consistency Regularization with Unlabeled Data
Learning Influence Adoption in Heterogeneous Networks
FunEditor: Achieving Complex Image Edits via Function Aggregation with Diffusion Models
Clustering via Random Walk Hitting Time on Directed Graphs
Final Position Control in Planar Horizontal Arm Movements
Abstract Interpretation of Decision Tree Ensemble Classifiers
Intelligent Recommendations for Citizen Science
Towards High-Fidelity Face Self-Occlusion Recovery via Multi-View Residual-Based GAN Inversion
Reinforced Curriculum Learning on Pre-Trained Neural Machine Translation Models
AltDiffusion: A Multilingual Text-to-Image Diffusion Model
A Low False Negative Filter for Detecting Rare Bird Species from Short Video Segments using a Probable Observation Data Set-based EKF Method
A Framework for Recognizing Multi-Agent Action from Visual Evidence
Multi-to-Single: Reducing Multimodal Dependency in Emotion Recognition Through Contrastive Learning
Random Fourier Features via Fast Surrogate Leverage Weighted Sampling
Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks
Kalman Bayesian Neural Networks for Closed-Form Online Learning
Optimizing Parameter Learning Using Temporal Differences
Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition
Relational Blocking for Causal Discovery
Directed Acyclic Graph Structure Learning from Dynamic Graphs
Flattening the Density Gradient for Eliminating Spatial Centrality to Reduce Hubness
Real-Time Heuristic Search: First Results
Federated Causality Learning with Explainable Adaptive Optimization
Visual Instruction Tuning with Polite Flamingo
Knowledge-driven Scientific Large Language Models
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks
Semantic Scene Concept Learning by an Autonomous Agent
End-to-End Thorough Body Perception for Person Search
Giving Advice about Preferred Actions to Reinforcement Learners Via Knowledge-Based Kernel Regression
Domain Knowledge-Assisted Automatic Diagnosis of Idiopathic Pulmonary Fibrosis (IPF) Using High Resolution Computed Tomography (HRCT) (Student Abstract)
Common Knowledge of Abstract Groups
The Effect of Diversity in Meta-Learning
Transfer Learning Meets Functional Linear Regression: No Negative Transfer Under Posterior Drift
Approximate Vanishing Ideal via Data Knotting
A Goal-Driven Natural Language Interface for Creating Application Integration Workflows
Query Rewriting for Horn-SHIQ Plus Rules
Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization
Impact of Linguistic Analysis on the Semantic Graph Coverage and Learning of Document Extracts
Instruct Where the Model Fails: Generative Data Augmentation via Guided Self-contrastive Fine-tuning
Joint Learning of Set Cardinality and State Distribution
Conditional PSDDs: Modeling and Learning With Modular Knowledge
That's Mine! Learning Ownership Relations and Norms for Robots
Interactive Attention Transfer Network for Cross-Domain Sentiment Classification
MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways
MOSS: End-to-End Dialog System Framework with Modular Supervision
AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers
Social Norms of Cooperation With Costly Reputation Building
Lessons in Neural Network Training: Overfitting May be Harder than Expected
Back to the Future for Consistency-Based Trajectory Tracking
Deep Interest Evolution Network for Click-Through Rate Prediction
Discovering Patterns of Autistic Planning
A General Proof Method for Modal Predicate Logic without the Barcan Formula
Rule Refinement Using the Probabilistic Rule Generator
Towards Explainable Joint Models via Information Theory for Multiple Intent Detection and Slot Filling
Complexity of Manipulating Elections with Few Candidates
Defending from Physically-Realizable Adversarial Attacks through Internal Over-Activation Analysis
An Adaptive Planner Based on Learning of Planning Performance
Recognizing Text Through Sound Alone
FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning
Bridging Training and Execution via Dynamic Directed Graph-Based Communication in Cooperative Multi-Agent Systems
Language-Action Tools for Cognitive Artificial Agents, Papers from the 2011 AAAI Workshop, San Francisco, California, USA, August 7-8, 2011
A Framework for Mining Speech-to-Text Transcripts of the Customer for Automated Problem Remediation
Robust Tracking via Mamba-based Context-aware Token Learning
A Bayesian Metareasoner for Algorithm Selection for Real-Time Bayesian Network Inference Problems
Identifying Reasons for Bias: An Argumentation-Based Approach
Unsupervised Underwater Image Restoration: From a Homology Perspective
Fairness for Robust Log Loss Classification
Isometric Manifold Learning Using Hierarchical Flow
Mixture-of-Attack-Experts with Class Regularization for Unified Physical-Digital Face Attack Detection
Jointly Modeling Deep Video and Compositional Text to Bridge Vision and Language in a Unified Framework
A Qualitative Method to Construct Phase Portraits
Exploration of Unknown Environments Using Deep Reinforcement Learning
Irrelevance and Conditioning in First-Order Probabilistic Logic
SphereDiffusion: Spherical Geometry-Aware Distortion Resilient Diffusion Model
Incremental Sensorimotor Learning with Constant Update Complexity
Representing Smooth Plane Curves for Recognition: Implications for Figure-Ground Reversal
The CRITTER System: Analyzing Digital Circuits by Propagating Behaviors and Specifications
Boosting Sex Identification Performance
Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation
Fact-Driven Logical Reasoning for Machine Reading Comprehension
Curriculum Temperature for Knowledge Distillation
Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning
Becoming Increasingly Reactive
Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms
Open-World Learning for Radically Autonomous Agents
Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning
Auto311: A Confidence-Guided Automated System for Non-emergency Calls
Approximate Linear Programming for Constrained Partially Observable Markov Decision Processes
The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution
A Representation Language Language
Unified Coding for Both Human Perception and Generalized Machine Analytics with CLIP Supervision
Toward Combining Domain Theory and Recipes in Plan Recognition
Domain Generalized Medical Landmark Detection via Robust Boundary-Aware Pre-Training
Continual Causal Abstractions
Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection
Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization
Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning
M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous Driving
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization
Scalable Causal Learning for Predicting Adverse Events in Smart Buildings
Predicting Opioid Overdose Crude Rates with Text-Based Twitter Features (Student Abstract)
Probabilistic Planning with Risk-Sensitive Criterion
SenTag: A Web-Based Tool for Semantic Annotation of Textual Documents
From Past to Future: Rethinking Eligibility Traces
A Value Driven Agent: Instantiation of a Case-Supported Principle-Based Behavior Paradigm
Social Interaction: Multimodal Conversation with Social Agents
Repeated Observation Models
State-Wise Adaptive Discounting from Experience (SADE): A Novel Discounting Scheme for Reinforcement Learning (Student Abstract)
Neural Machine Translation with Byte-Level Subwords
Process Diagnosis System (PDS) - A 30 Year History
Pearl's Causality in a Logical Setting
Ordinal Programmatic Weak Supervision and Crowdsourcing for Estimating Cognitive States (Student Abstract)
Learning to Map Frequent Phrases to Sub-Structures of Meaning Representation for Neural Semantic Parsing
Using Anticipation to Create Believable Behaviour
Robust Complex Behaviour Modeling at 90Hz
VA-AR: Learning Velocity-Aware Action Representations with Mixture of Window Attention
Efficient Self-Supervised Video Hashing with Selective State Spaces
Matching Requests for Agent Services with Differentiated Vocabulary
A Corpus-Based Hybrid Approach to Music Analysis and Composition
Syntactic Skeleton-Based Translation
Pathway Graphical Lasso
How Do We Move: Modeling Human Movement with System Dynamics
A Voting-Based System for Ethical Decision Making
Constraint-Based Sequential Pattern Mining with Decision Diagrams
Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models
Strong Introspection
Temporal Conjunctive Query Answering via Rewriting
Symbolic Probabilistic Inference in Belief Networks
DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification
Semi-Supervised Sequence Modeling with Syntactic Topic Models
Sequential Mode Estimation with Oracle Queries
WeditGAN: Few-Shot Image Generation via Latent Space Relocation
SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack
Commitment to Correlated Strategies
RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling
Episodic Policy Gradient Training
Identification and Classification of Textual Aggression in Social Media: Resource Creation and Evaluation
A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract)
Gated-Attention Architectures for Task-Oriented Language Grounding
Meta Learning for Image Captioning
Risk-Aware Continuous Control with Neural Contextual Bandits
Double Forward Propagation for Memorized Batch Normalization
Fast Gradient Descent for Drifting Least Squares Regression, with Application to Bandits
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks
Experimentation-Driven Operator Learning
A Novel Approach for Longitudinal Modeling of Aging Health and Predicting Mortality Rates
Chance-Constrained Scheduling via Conflict-Directed Risk Allocation
UniMS: A Unified Framework for Multimodal Summarization with Knowledge Distillation
A Survey of Learning Criteria Going beyond the Usual Risk (Abstract Reprint)
Separate but Equal: Equality in Belief Propagation for Single Cycle Graphs
KA-CAPTCHA: An Opportunity for Knowledge Acquisition on the Web
Mechanism Design for Scheduling with Uncertain Execution Time
Dynamic Reward-Based Dueling Deep Dyna-Q: Robust Policy Learning in Noisy Environments
Semantic Grouping Network for Video Captioning
Handwritten Mathematical Expression Recognition via Attention Aggregation Based Bi-directional Mutual Learning
Model-Based Diagnosis of Planning Failures
DiffusionREC: Diffusion Model with Adaptive Condition for Referring Expression Comprehension
Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformation
STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction
Mechanism Design for Aggregated Demand Prediction in the Smart Grid
Recurrent Poisson Process Unit for Speech Recognition
Symmetiy Constraint Inference in Assembly Planning: Automatic Assembly Configuration Specification
Context-Transformer: Tackling Object Confusion for Few-Shot Detection
Incorporating Mental Simulation for a More Effective Robotic Teammate
Visual Odometry Using Commodity Optical Flow
Adversarial Goal Generation for Intrinsic Motivation
Large Scale Cross-Category Analysis of Consumer Review Content on Sales Conversion Leveraging Deep Learning
Personalisation of Exercises in VRET
MetaSeer.STEM: Towards Automating Meta-Analyses
Poker-CNN: A Pattern Learning Strategy for Making Draws and Bets in Poker Games Using Convolutional Networks
Recurrent Partial Kernel Network for Efficient Optical Flow Estimation
Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning
Organizing and Searching the World Wide Web of Facts - Step One: The One-Million Fact Extraction Challenge
Network Satisfaction for Symmetric Relation Algebras with a Flexible Atom
Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning
Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data
Swoogle: Searching for Knowledge on the Semantic Web
Noise-Tolerant Range Analysis for Autonomous Navigation
Web Service Composition as Planning, Revisited: In Between Background Theories and Initial State Uncertainty
Stratified Negation in Datalog with Metric Temporal Operators
Fast Sparse Decision Tree Optimization via Reference Ensembles
Accelerated Combinatorial Search for Outlier Detection with Provable Bound on Sub-Optimality
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise
Modeling Contextual Factors of Click Rates
Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints
Hypernetworks for Zero-Shot Transfer in Reinforcement Learning
Social-Aware Group Display Configuration in VR Conference
Recurrent Neural Networks with Auxiliary Labels for Cross-Domain Opinion Target Extraction
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning
Strategyproof Classification under Constant Hypotheses: A Tale of Two Functions
Stochastic Node Caching for Memory-bounded Search
The Application of Natural Language Models to Intelligent Multimedia
Heterogeneous Test-Time Training for Multi-Modal Person Re-identification
Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification