yusuke1997/dblp-id-title huggingface dataset:
Multistream Classification with Relative Density Ratio Estimation
Improving Search through Diversity
Automatically Acquiring Domain Knowledge For Adaptive Game AI Using Evolutionary Learning
SSC-VAE: Structured Sparse Coding Based Variational Autoencoder for Detail Preserved Image Reconstruction
Algorithm Selection in Bilateral Negotiation
RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs
Second-Order Quantified Boolean Logic
Safety Validation of Learning-Based Autonomous Systems: A Multi-Fidelity Approach
Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM
Learning Concept Embeddings for Query Expansion by Quantum Entropy Minimization
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
Improving Automatic VQA Evaluation Using Large Language Models
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction
On Inheritance Hierarchies With Exceptions
Planned Protest Modeling in News and Social Media
RoPaSS: Robust Watermarking for Partial Screen-Shooting Scenarios
Formally Verified Approximate Policy Iteration
Modeling Status Theory in Trust Prediction
Bridge 2D-3D: Uncertainty-aware Hierarchical Registration Network with Domain Alignment
You Shouldn't Trust Me: Learning Models Which Conceal Unfairness From Multiple Explanation Methods
Robust Image Hashing Based on Contrastive Masked Autoencoder with Weak-Strong Augmentation Alignment
Top-Down Abstraction Learning Using Prediction as a Supervisory Signal
Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction
Enhancing Large Language Model Performance with Gradient-Based Parameter Selection
Migration as Submodular Optimization
Knowledge Bridging for Empathetic Dialogue Generation
Visualization Techniques for Topic Model Checking
A Hybrid Learning Approach for Better Recognition of Visual Objects
Self-Emergence of Structures in Gene Expression Programming
Learning Parameterized Task Structure for Generalization to Unseen Entities
Exact Lifted Inference with Distinct Soft Evidence on Every Object
Multi-clue Consistency Learning to Bridge Gaps Between General and Oriented Object in Semi-supervised Detection
Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach
Anticipating Future Relations via Graph Growing for Action Prediction
GAN-Based Unpaired Chinese Character Image Translation via Skeleton Transformation and Stroke Rendering
Outlier Ranking for Large-Scale Public Health Data
LaSSL: Label-Guided Self-Training for Semi-supervised Learning
How Do Position Encodings Affect Length Generalization? Case Studies On In-Context Function Learning
Cerebella: Automatic Generation of Nonverbal Behavior for Virtual Humans
GenCo: Generative Co-training for Generative Adversarial Networks with Limited Data
Off-Policy Proximal Policy Optimization
Graph-Wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning
Sample-Adaptive Multiple Kernel Learning
Collaborative Filtering with Localised Ranking
CryoDomain: Sequence-free Protein Domain Identification from Low-resolution Cryo-EM Density Maps
Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks
Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training
Safe Linear Stochastic Bandits
On Testing of Uniform Samplers
Enhancing Masked Time-Series Modeling via Dropping Patches
CLIP-MSM: A Multi-Semantic Mapping Brain Representation for Human High-Level Visual Cortex
Competing for Resources: Estimating Adversary Strategy for Effective Plan Generation
Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis
RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems
What Should be Computed in Low Level Vision Systems
Unsupervised Active Learning via Subspace Learning
Treating Expert Knowledge as Common Sense
Swift-Mapping: Online Neural Implicit Dense Mapping in Urban Scenes
Proceedings of the 9th National Conference on Artificial Intelligence, Anaheim, CA, USA, July 14-19, 1991, Volume 2
External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection
Zero-shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion Model
Sequential Decision Making in Stochastic Games with Incomplete Preferences over Temporal Objectives
On Multiset Selection With Size Constraints
Is Intractability of Non-Monotonic Reasoning a Real Drawback?
SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning
Classification Using an Online Genetic Algorithm
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension
Utilizing Vision-Language Models for Detection of Leaf-Based Diseases in Tomatoes
Supermodels and Robustness
RA-GAR: A Richly Annotated Benchmark for Gait Attribute Recognition
Learning Disentangled Classification and Localization Representations for Temporal Action Localization
Real-Time Indoor Localization in Smart Homes Using Semi-Supervised Learning
FLIC: Fast Linear Iterative Clustering With Active Search
Reproduce, Replicate, Reevaluate. The Long but Safe Way to Extend Machine Learning Methods
Decentralized Planning in Stochastic Environments with Submodular Rewards
Motion-adaptive Transformer for Event-based Image Deblurring
Evaluate Geometry of Radiance Fields with Low-Frequency Color Prior
Improved Fixed-Parameter Bounds for Min-Sum-Radii and Diameters k-Clustering and Their Fair Variants
Democratizing Constraint Satisfaction Problems through Machine Learning
JoTA: Aligning Multilingual Job Taxonomies through Word Embeddings (Student Abstract)
Uncertainty Regularized Evidential Regression
Intra and Inter Parser-Prompted Transformers for Effective Image Restoration
Computational Thinking with Computer Vision: Developing AI Competency in an Introductory Computer Science Course
Federated Label-Noise Learning with Local Diversity Product Regularization
Easy and Hard Testbeds for Real-Time Search Algorithms
HUANG: A Robust Diffusion Model-based Targeted Adversarial Attack Against Deep Hashing Retrieval
Multi-Attribute Proportional Representation
Long-Term EEG Partitioning for Seizure Onset Detection
Robust Estimation of 3-D Line Segments from Satellite Images for Model Building and Change Detection
Logic Programming in Assumption-Based Argumentation Revisited - Semantics and Graphical Representation
Preemptive Detection of Unsafe Motion Liable for Hazard
Metric Embedded Discriminative Vocabulary Learning for High-Level Person Representation
CF-DETR: Coarse-to-Fine Transformers for End-to-End Object Detection
A Bucket Elimination Approach for Determining Strong Controllability of Temporal Plans with Uncontrollable Choices
Market-Based Algorithms for Allocating Complex Tasks
Security Games with Limited Surveillance
Evolving Solutions to Community-Structured Satisfiability Formulas
Concurrency Debugging with MaxSMT
Neural Analogical Matching
Scaling Offline Evaluation of Reinforcement Learning Agents through Abstraction
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning
When to Use Which Neural Network? Finding the Right Neural Network Architecture for a Research Problem
Uncertainty-Aware Multi-View Representation Learning
OzoMorph: Demonstrating Colored Multi-Agent Path Finding on Real Robots
Distributed Community Detection via Metastability of the 2-Choices Dynamics
MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling
RealPlan: Decoupling Causal and Resource Reasoning in Planning
Meta-Auxiliary Learning for Adaptive Human Pose Prediction
Natural Language Acquisition and Grounding for Embodied Robotic Systems
Filming a Terrain under Uncertainty Using Temporal and Probahilistic Reasoning
Machine Learning and Its Application at Nooksack Falls Hydroelectric Station
HKIA SAS: A Constraint-Based Airport Stand Allocation System Developed with Software Components
Parallel Asynchronous Stochastic Variance Reduction for Nonconvex Optimization
CADI - An Intelligent, Multimedia Tutor for Cardiac Auscultation
Ensemble Forecasting for Disease Outbreak Detection
Transductive Bounds for the Multi-Class Majority Vote Classifier
AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization
Two-Price Equilibrium
Multi-Source Neural Variational Inference
Making Better Recommendations with Online Profiling Agents
Nonlinear Pairwise Layer and Its Training for Kernel Learning
An Implicit Trust Region Approach to Behavior Regularized Offline Reinforcement Learning
ISP-Teacher: Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection
HomoMatcher: Achieving Dense Feature Matching with Semi-Dense Efficiency by Homography Estimation
Two Birds with One Stone: Investigating Invertible Neural Networks for Inverse Problems in Morphology
Learning to Explore and Build Maps
Beyond Mechanical Turk: Using Techniques from Meta Learning to Compare Crowdsourcing Platforms Across Languages
Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise
Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning
Holistic Adversarial Robustness of Deep Learning Models
Facility Location Games With Fractional Preferences
A Layer Selection Approach to Test Time Adaptation
History Matters: Temporal Knowledge Editing in Large Language Model
Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks
Cluster-guided Contrastive Class-imbalanced Graph Classification
An Explainable Artificial Intelligence System for Small-unit Tactical Behavior
Generalized Debiased Semi-Supervised Hashing for Large-Scale Image Retrieval
On the Computational Complexity of Plan Verification, (Bounded) Plan-Optimality Verification, and Bounded Plan Existence
Early-Bird GCNs: Graph-Network Co-optimization towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets
Efficient Mirror Detection via Multi-Level Heterogeneous Learning
Towards Perceptual Image Dehazing by Physics-Based Disentanglement and Adversarial Training
CARe: An Ontology for Representing Context of Activity-Aware Healthcare Environments
A Switching Planner for Combined Task and Observation Planning
Defending against Backdoors in Federated Learning with Robust Learning Rate
Computing Stackelberg Equilibria in Discounted Stochastic Games
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
Coupled-View Deep Classifier Learning from Multiple Noisy Annotators
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation
Algorithms for Estimating Trends in Global Temperature Volatility
Robust Test-Time Adaptation for Zero-Shot Prompt Tuning
Operator Mutexes and Symmetries for Simplifying Planning Tasks
The Scheduling of Rail at Union Pacific Railroad
Cooperative Knowledge Distillation: A Learner Agnostic Approach
A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation
Linguistic Properties Matter for Implicit Discourse Relation Recognition: Combining Semantic Interaction, Topic Continuity and Attribution
Generalizing Partial Order and Dynamic Backtracking
A Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search
Subjective Mapping
Detecting and Tracking Communal Bird Roosts in Weather Radar Data
Learning Dynamic Similarity by Bidirectional Hierarchical Sliding Semantic Probe for Efficient Text Video Retrieval
Lazy Defenders Are Almost Optimal against Diligent Attackers
Nonmyopic Informative Path Planning in Spatio-Temporal Models
Learning and Applying Competitive Strategies
Minimum Intervention Cover of a Causal Graph
Personalized Sleep Staging Leveraging Source-free Unsupervised Domain Adaptation
Least-Cost Flaw Repair: A Plan Refinement Strategy for Partial-Order Planning
Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy
FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering
Dynamic Abstraction Planning
Towards a Theory of AI Personhood
Intelligent Agents in Computer Games
STViT: Improving Self-Supervised Multi-Camera Depth Estimation with Spatial-Temporal Context and Adversarial Geometry Regularization (Student Abstract)
Detail-Preserving Transformer for Light Field Image Super-resolution
Time-Aware Random Walk Diffusion to Improve Dynamic Graph Learning
FoMo: Multi-Modal, Multi-Scale and Multi-Task Remote Sensing Foundation Models for Forest Monitoring
Potential-Aware Imperfect-Recall Abstraction with Earth Mover's Distance in Imperfect-Information Games
ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization
Algorithms and Complexity for Reasoning about Time
Continual HTN Robot Task Planning in Open-Ended Domains: A Case Study
On Performance Estimation in Automatic Algorithm Configuration
Decompose the Sounds and Pixels, Recompose the Events
GRIP: Graph Representation of Immune Repertoire Using Graph Neural Network and Transformer
Declarative Camera Control for Automatic Cinematography
On the Run-time Behaviour of Stochastic Local Search Algorithms for SAT
MINIMAL: Mining Models for Universal Adversarial Triggers
Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation
Near-Optimal MNL Bandits Under Risk Criteria
Learning to Predict Intent from Gaze During Robotic Hand-Eye Coordination
Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets
Quantifying Political Polarization through the Lens of Machine Translation and Vicarious Offense
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA
Planning with Abstraction
UN-DETR: Promoting Objectness Learning via Joint Supervision for Unknown Object Detection
Learning With Options That Terminate Off-Policy
Inferring Causal Directions in Errors-in-Variables Models
Prevailing in the Dark: Information Walls in Strategic Games
RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction
Modeling Continuous Motion for 3D Point Cloud Object Tracking
Image Block Augmentation for One-Shot Learning
Computing Divergences between Discrete Decomposable Models
Large Scale Constrained Linear Regression Revisited: Faster Algorithms via Preconditioning
Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs
Machine Learning-Powered Combinatorial Clock Auction
Dynamic Malware Analysis with Feature Engineering and Feature Learning
Mesh-Based Autoencoders for Localized Deformation Component Analysis
Evolution of Node Behavior in Link Prediction
Analogical Image Translation for Fog Generation
Formalizing Hierarchical Clustering as Integer Linear Programming
Ensembles of Locally Independent Prediction Models
Large-Scale Multi-View Spectral Clustering via Bipartite Graph
Stable Model Semantics for Description Logic Terminologies
Ensuring Reasoning Consistency in Hierarchical Architectures
DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching
A Lightweight Sparse Interaction Network for Time Series Forecasting
A Robust and Scalable Stacked Ensemble for Day-Ahead Forecasting of Distribution Network Losses
Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning
Evaluating LLM Reasoning in the Operations Research Domain with ORQA
Multi-span Style Extraction for Generative Reading Comprehension
Partial Satisfaction Planning under Time Uncertainty with Control on When Objectives Can Be Aborted
A Reinforcement Learning Approach to Strategic Belief Revelation with Social Influence
A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models
Scalable Graph Embedding for Asymmetric Proximity
DevianceNet: Learning to Predict Deviance from a Large-Scale Geo-Tagged Dataset
CCRank: Parallel Learning to Rank with Cooperative Coevolution
Covariate-Shift Generalization via Random Sample Weighting
MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing
Cumulative Effects of Concurrent Actions on Numeric-Valued Fluents
Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification
Efficient Maximization in Solving POMDPs
Recurrent Transition Hierarchies for Continual Learning: A General Overview
Over-MAP: Structural Attention Mechanism and Automated Semantic Segmentation Ensembled for Uncertainty Prediction
Grey-Box Bayesian Optimization for Sensor Placement in Assisted Living Environments
Identifying Bottlenecks in Practical SAT-Based Model Finding for First-Order Logic Ontologies with Datasets
Multi-Action Dialog Policy Learning from Logged User Feedback
On the Structure of Synergies in Cooperative Games
On the Relationship Between Logic Programming and Nonmonotonic Reasoning
Creating a Mars Target Encyclopedia by Extracting Information from the Planetary Science Literature
A Better Algorithm for Societal Tradeoffs
Node Selection Query Languages for Trees
Multi-Agent Path Finding with Delay Probabilities
Connecting Language to Images: A Progressive Attention-Guided Network for Simultaneous Image Captioning and Language Grounding
Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting
Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting
Graph-Based Transformer with Cross-Candidate Verification for Semantic Parsing
DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer's Disease
Improvement-Focused Causal Recourse (ICR)
Optical Flow Estimation from a Single Motion-blurred Image
Disentangling Reafferent Effects by Doing Nothing
Defying Imbalanced Forgetting in Class Incremental Learning
Domain-centric ADAS Datasets
Cyclically Disentangled Feature Translation for Face Anti-spoofing
Navigation for Everyday Life
CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG
CORE: Automatic Molecule Optimization Using Copy & Refine Strategy
Adaptive Model-Based Diagnostic Mechanism Using a Hierarchical Model Scheme
Fair Division Through Information Withholding
Local Relation Learning for Face Forgery Detection
Maximizing Influence Spread through a Dynamic Social Network (Student Abstract)
Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification
Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization
Ensemble Feature Weighting Based on Local Learning and Diversity
Towards Comprehensive Recommender Systems: Time-Aware Unified Recommendations Based on Listwise Ranking of Implicit Cross-Network Data
Improved POMDP Tree Search Planning with Prioritized Action Branching
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods
A General Planning-Based Framework for Goal-Driven Conversation Assistant
Spectral Rotation versus K-Means in Spectral Clustering
Small is Beautiful: A Brute-Force Approach to Learning First-Order Formulas
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
Coordination for Multi-Robot Exploration and Mapping
Background-Mixed Augmentation for Weakly Supervised Change Detection
Multi-Level Head-Wise Match and Aggregation in Transformer for Textual Sequence Matching
Attribute Propagation Network for Graph Zero-Shot Learning
A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations
Composite Social Network for Predicting Mobile Apps Installation
On Policy Learning in Restricted Policy Spaces
Event-Image Fusion Stereo Using Cross-Modality Feature Propagation
Balanced Self-Paced Learning for AUC Maximization
Rethinking Two-Stage Referring Expression Comprehension: A Novel Grounding and Segmentation Method Modulated by Point
MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale
An Ensemble of Linearly Combined Reinforcement-Learning Agents
Decentralized Approximate Bayesian Inference for Distributed Sensor Network
Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites
Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes
Physical Impossibility Instead of Fault Models
Evidential Reasoning with Temporal Aspects
A Many-Objective Problem Where Crossover Is Provably Indispensable
Adversarial Robustness for Face Recognition: How to Introduce Ensemble Diversity among Feature Extractors?
Overcoming Catastrophic Forgetting by Neuron-Level Plasticity Control
Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise
BEVDepth: Acquisition of Reliable Depth for Multi-View 3D Object Detection
A Unifying Hierarchy of Valuations with Complements and Substitutes
Asynchronous Federated Clustering with Unknown Number of Clusters
Tackling Mental Health by Integrating Unobtrusive Multimodal Sensing
ReLISH: Reliable Label Inference via Smoothness Hypothesis
Symmetry-Breaking Constraints for Grid-Based Multi-Agent Path Finding
Do Capacity Constraints Constrain Coalitions?
Reinforced Multi-teacher Knowledge Distillation for Efficient General Image Forgery Detection and Localization
Connectionism, Rule Following, and Symbolic Manipulation
Profit-Driven Team Grouping in Social Networks
Zero-Shot Image Captioning with Multi-type Entity Representations
Diagnosing Multiple Interacting Defects with Combination Descriptions
Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers
Weakly Supervised Collective Feature Learning From Curated Media
LCollision: Fast Generation of Collision-Free Human Poses using Learned Non-Penetration Constraints
From Lab to Internship and Back Again: Learning Autonomous Systems through Creating a Research and Development Ecosystem
Unsupervised Feature Learning through Divergent Discriminative Feature Accumulation
Can We Predict the Election Outcome from Sampled Votes?
Improving Hybrid Vehicle Fuel Efficiency Using Inverse Reinforcement Learning
An Expressive Auction Design for Online Display Advertising
s-ID: Causal Effect Identification in a Sub-population
Fast Conditional Density Estimation for Quantitative Structure-Activity Relationships
Reshaping State-Space Search: From Dominance to Contrastive Analysis
Active Preference Elicitation for Planning
A Cross-Entropy Method that Optimizes Partially Decomposable Problems: A New Way to Interpret NMR Spectra
SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection
Recommender Systems: Attack Types and Strategies
Exact Sampling with Integer Linear Programs and Random Perturbations
Modular Learning in Neural Networks
A Radical-Aware Attention-Based Model for Chinese Text Classification
Design and Implementation of the CALO Query Manager
Multimodal Poisson Gamma Belief Network
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
Up to 100x Faster Data-Free Knowledge Distillation
UofA-Truth at Factify 2022 : A Simple Approach to Multi-Modal Fact-Checking
Towards Runtime Analysis of Population-Based Co-evolutionary Algorithms on Sparse Binary Zero-Sum Game
Script and Language Identification in Degraded and Distorted Document Images
Regularizing Attention Networks for Anomaly Detection in Visual Question Answering
Getting from Here to There: Interactive Planning and Agent Execution for Optimizing Travel
Plan, Activity, and Intent Recognition, Papers from the 2010 AAAI Workshop, Atlanta, Georgia, USA, July 12, 2010
Building Brains for Rooms: Designing Distributed Software Agents
Left-Corner Unification-Based Natural Language Processing
PARCS: A Deployment-Oriented AI System for Robust Parcel-Level Cropland Segmentation of Satellite Images
Let's Learn Their Language? A Case for Planning with Automata-Network Languages from Model Checking
Long Short-Term Memory with Dynamic Skip Connections