yusuke1997/dblp-id-title huggingface dataset:
Toward Social Media Opinion Mining for Sustainability Research
Policy-Guided Heuristic Search with Guarantees
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks
Consistent and Specific Multi-View Subspace Clustering
Measuring Fine-Grained Urban Air Temperature with Satellite Imagery
The Synthy Approach for End to End Web Services Composition: Planning with Decoupled Causal and Resource Reasoning
Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization
SPARQA: Skeleton-Based Semantic Parsing for Complex Questions over Knowledge Bases
Causal Concept Identification in Open World Environments
End-to-End United Video Dehazing and Detection
CFEVER: A Chinese Fact Extraction and VERification Dataset
Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming
SOCIALGYM 2.0: Simulator for Multi-Robot Learning and Navigation in Shared Human Spaces
A Data-Driven Approach to Question Subjectivity Identification in Community Question Answering
Every Bit Helps: Achieving the Optimal Distortion with a Few Queries
Materializing and Persisting Inferred and Uncertain Knowledge in RDF Datasets
Deep Fusion Clustering Network
Symbolic Search for Optimal Total-Order HTN Planning
Automatic Construction of Evaluation Sets and Evaluation of Document Similarity Models in Large Scholarly Retrieval Systems
How AI Wins Friends and Influences People in Repeated Games With Cheap Talk
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes
Generating Hard SAT/CSP Instances Using Expander Graphs
TPBOSCourier: A Transportation Procurement System (for the Procurement of Courier Services)
A Variational Approach to Edge Detection
Boosting the Transferability of Video Adversarial Examples via Temporal Translation
Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations
Bidding in Smart Grid PDAs: Theory, Analysis and Strategy
Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint)
UWSpeech: Speech to Speech Translation for Unwritten Languages
Playing Lottery Tickets with Vision and Language
Minimum Robust Multi-Submodular Cover for Fairness
Policy Search with High-Dimensional Context Variables
Multimodal Fusion of EEG and Musical Features in Music-Emotion Recognition
On Multi-Robot Area Coverage
Closed Form Solution to the Structure from Motion Problem from Line Correspondences
AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation
Bridging the Gap between Source Code and Requirements Using GPT (Student Abstract)
QPEN: Quantum Projection and Quantum Entanglement Enhanced Network for Cross-Lingual Aspect-Based Sentiment Analysis
Activity Recognition through Goal-Based Segmentation
Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning
Regret Minimisation in Multi-Armed Bandits Using Bounded Arm Memory
SciEval: A Multi-Level Large Language Model Evaluation Benchmark for Scientific Research
Active Search in Intensionally Specified Structured Spaces
kFOIL: Learning Simple Relational Kernels
Finding Most Compatible Phylogenetic Trees over Multi-State Characters
M-sense: Modeling Narrative Structure in Short Personal Narratives Using Protagonist's Mental Representations
Finding Maximally Satisfiable Terminologies for the Description Logic ALC
A Framework of Online Learning with Imbalanced Streaming Data
SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding
Using Dialog-Level Knowledge Sources to Improve Speech Recognition
A Domain-Independent Agent Architecture for Adaptive Operation in Evolving Open Worlds
Accounting for Price Dependencies in Simultaneous Sealed-Bid Auctions
Towards Global Video Scene Segmentation with Context-Aware Transformer
Adaptive Modeling and Planning for Reactive Agents
Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation
Long-Tail Cross Modal Hashing
Contextual Parameter Generation for Knowledge Graph Link Prediction
Deep Portfolio Optimization via Distributional Prediction of Residual Factors
Extreme k-Center Clustering
Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation
Cost-Based Query Optimization via AI Planning
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach
Information Sharing for Care Coordination
Exploiting Symmetries in MUS Computation
Exploring Semantic Consistency and Style Diversity for Domain Generalized Semantic Segmentation
Robust Bidirectional Search via Heuristic Improvement
Long-Term Fair Decision Making through Deep Generative Models
On the Cost of Demographic Parity in Influence Maximization
Dynamic Budget Throttling in Repeated Second-Price Auctions
Beyond Black-Boxes: Teaching Complex Machine Learning Ideas through Scaffolded Interactive Activities
Unsupervised Action Segmentation via Fast Learning of Semantically Consistent Actoms
Shape-Oriented Convolution Neural Network for Point Cloud Analysis
Efficient Approximate Value Iteration for Continuous Gaussian POMDPs
Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation
The Shifting Terminological Space: An Impediment to Evolvability
Preprocessing for Propositional Model Counting
Optimizing Resilience in Large Scale Networks
A Dynamic Window Neural Network for CCG Supertagging
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball
Learning Multimodal Word Representation via Dynamic Fusion Methods
Towards Learnable Anchor for Deep Multi-View Clustering
Partition Search
C-NTPP: Learning Cluster-Aware Neural Temporal Point Process
Modelling Student Acquisition of Problem-Solving Skills
Boolean Functions with Ordered Domains in Answer Set Programming
A Self-Modifying Theorem Prover
The Efficiency of the HyperPlay Technique Over Random Sampling
Learning Economic Indicators by Aggregating Multi-Level Geospatial Information
Federated Learning with Heterogeneous LLMs: Integrating Small Student Client Models with a Large Hungry Model
Iterative Combinatorial Auctions: Theory and Practice
An Efficient and Complete Approach for Cooperative Path-Finding
Linear Decoding of Morphology Relations in Language Models (Student Abstract)
Strategy-Based Warm Starting for Regret Minimization in Games
GLH-Water: A Large-Scale Dataset for Global Surface Water Detection in Large-Size Very-High-Resolution Satellite Imagery
Learning-Augmented Online Algorithm for Two-Level Ski-Rental Problem
Efficient Robustness Evaluation via Constraint Relaxation
Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field
Visual Event Classification via Force Dynamics
Realtime Generation of Audible Textures Inspired by a Video Stream
Framework for Prototyping Expert Systems for Financial Applications
Behavioral Aggregation Within Complex Situations: A Case Study Involving Dynamic Equilibria
Sparse Matrix-Variate t Process Blockmodels
FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-from-gradients
Tracking Down Misguiding Terms for Locating Bugs in Deep Learning-Based Software (Student Abstract)
ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning
Classification Problem Solving
TAPAS: Train-Less Accuracy Predictor for Architecture Search
Explicitly Guided Difficulty-Controllable Visual Question Generation
Tensorized Projection for High-Dimensional Binary Embedding
Guiding a Harsh-Environments Robust Detector via RAW Data Characteristic Mining
Generating Medical Case Reports with the Linguistic String Parser
TopicFM: Robust and Interpretable Topic-Assisted Feature Matching
Common Sense Bias Modeling for Classification Tasks
Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition
Two-Level Transformer and Auxiliary Coherence Modeling for Improved Text Segmentation
Learning Graph-Structured Sum-Product Networks for Probabilistic Semantic Maps
Chinese Zero Pronoun Resolution: An Unsupervised Approach Combining Ranking and Integer Linear Programming
Dominating Manipulations in Voting with Partial Information
Some Algorithm Design Methods
Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method
A New Technique Enables Dynamic Replanning and Rescheduling of Aeromedical Evacuation
Adapting a Kidney Exchange Algorithm to Align With Human Values
Solving Distributed Constraint Optimization Problems Using Logic Programming
Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks
Structure Aware L1 Graph for Data Clustering
User Group Oriented Temporal Dynamics Exploration
Condensed Memory Networks for Clinical Diagnostic Inferencing
SAGA-ML: An Active Learning System for Semiautomated Gameplay Analysis
CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness
Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality
PlanVerb: Domain-Independent Verbalization and Summary of Task Plans
Can You Answer This? - Exploring Zero-Shot QA Generalization Capabilities in Large Language Models (Student Abstract)
Catch Me If You Can: Pursuit and Capture in Polygonal Environments with Obstacles
Transferable Video Moment Localization by Moment-Guided Query Prompting
DD-PREF: A Language for Expressing Preferences over Sets
Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice
Aerodynamic Coefficients Prediction via Cross-Attention Fusion and Physical-Informed Training
Conditional Generative Model Based Predicate-Aware Query Approximation
Understanding Catastrophic Overfitting in Single-step Adversarial Training
Learning Goal-Oriented Hierarchical Tasks from Situated Interactive Instruction
Exploiting Relationship for Complex-scene Image Generation
Expectile Matrix Factorization for Skewed Data Analysis
DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching
CFGNN: Cross Flow Graph Neural Networks for Question Answering on Complex Tables
Three Dimensions of Design Development
Weakly Supervised Semantic Segmentation for Driving Scenes
An Empirical Evaluation of Knowledge Compilation by Theory Approximation
Ambiguity and Constraint in Mathematical Expression Recognition
Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision Boundary
Training on the Test Set: Mapping the System-Problem Space in AI
Effective Generalization of Relational Descriptions
Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation
Similarity Preserving Deep Asymmetric Quantization for Image Retrieval
Hand-Model-Aware Sign Language Recognition
Value-Function-Based Transfer for Reinforcement Learning Using Structure Mapping
DIARC: A Testbed for Natural Human-Robot Interaction
Exploiting Symmetries in POMDPs for Point-Based Algorithms
Integrated AI in Space: The Autonomous Sciencecraft on Earth Observing One
Compressed Conditional Mean Embeddings for Model-Based Reinforcement Learning
The Historical Development of Computer Chess and its Impact on Artificial Intelligence
Placing Objects in Gesture Space: Toward Incremental Interpretation of Multimodal Spatial Descriptions
Towards international standards for evaluating machine learning
Alternative Baselines for Low-Shot 3D Medical Image Segmentation - An Atlas Perspective
Using Reinforcement Learning to Iteratively Construct Road Networks from Satellite Images and GPS Data
Learning Lexicographic Preference Trees From Positive Examples
ROIFormer: Semantic-Aware Region of Interest Transformer for Efficient Self-Supervised Monocular Depth Estimation
Approximate Knowledge Compilation: The First Order Case
EnColor: Improving Visual Accessibility with a Deep Encoder-Decoder Image Corrector for Color Vision Deficient Individuals
Scalable Knowledge Refactoring Using Constrained Optimisation
Households, The Homeless and Slums Towards a Standard for Representing City Shelter Open Data
MIDCA: A Metacognitive, Integrated Dual-Cycle Architecture for Self-Regulated Autonomy
Ordering Relations in Human and Machine Planning
Background Suppression Network for Weakly-Supervised Temporal Action Localization
Zero-Shot Learning With Attribute Selection
Consistent Linear Speedups to a First Solution in Parallel State-Space Search
A Context-Enriched Neural Network Method for Recognizing Lexical Entailment
Learning Ontologies from the Web for Microtext Processing
Multi-Path Feedback Recurrent Neural Networks for Scene Parsing
The Hybrid Nested/Hierarchical Dirichlet Process and its Application to Topic Modeling with Word Differentiation
Learning Models of Macrobehavior in Complex Adaptive Systems
Attentive Neural Point Processes for Event Forecasting
Shakeout: A New Regularized Deep Neural Network Training Scheme
Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning
Machine Learning for Automatic Mapping of Planetary Surfaces
Temporal Logic Explanations for Dynamic Decision Systems Using Anchors and Monte Carlo Tree Search (Abstract Reprint)
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning
Toward Operational Safety Verification Via Hybrid Automata Mining Using I/O Traces of AI-Enabled CPS
Toward Understanding the Influence of Individual Clients in Federated Learning
Discussion about Constraint Programming Bin Packing Models
AT-BERT: Adversarial Training BERT for Acronym Identification Winning Solution for SDU@AAAI-21
XCotton: Advancing AI-Enabled Hardware/Software Integrated System for Foreign Fiber Cleaning
Exact Recoverability of Robust PCA via Outlier Pursuit with Tight Recovery Bounds
Macroscopic Models of Clique Tree Growth for Bayesian Networks
PointCFormer: A Relation-Based Progressive Feature Extraction Network for Point Cloud Completion
Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis
An ADMM Based Framework for AutoML Pipeline Configuration
A Unified Model for Document-Based Question Answering Based on Human-Like Reading Strategy
Leveraging Title-Abstract Attentive Semantics for Paper Recommendation
Prototypical Partial Optimal Transport for Universal Domain Adaptation
Robust Active Learning Using Crowdsourced Annotations for Activity Recognition
Automatic Emphatic Information Extraction from Aligned Acoustic Data and Its Application on Sentence Compression
Bayesian Calibration for Monte Carlo Localization
A Deep Learning Approach Towards Multimodal Stress Detection
TCBB Scheme: Applications to Single Machine Job Sequencing Problems
Invariant Logic: A Calculus for Problem Reformulation
Semi-Supervised AUC Optimization Without Guessing Labels of Unlabeled Data
Robust Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents
Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens
Generalized Adjustment Under Confounding and Selection Biases
Pixel Is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection
When a Decision Tree Learner Has Plenty of Time
Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model
Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators
Optimization and Controlled Systems: A Case Study on Thermal Aware Workload Dispatching
Enhancing Bilingual Lexicon Induction via Bi-directional Translation Pair Retrieving
Category Dictionary Guided Unsupervised Domain Adaptation for Object Detection
Structure Comparison and Semantic Interpretation of Differences
Comparing Sample-Wise Learnability across Deep Neural Network Models
In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting
Advice Provision for Energy Saving in Automobile Climate Control Systems
A Unified Multi-Scenario Attacking Network for Visual Object Tracking
Causal Effect Identification in Cluster DAGs
Community-Based Question Answering via Heterogeneous Social Network Learning
Combating Mode Collapse via Offline Manifold Entropy Estimation
Solving Epistemic Logic Programs Using Generate-and-Test with Propagation
Group-Aware Threshold Adaptation for Fair Classification
Explanation, Irrelevance, and Statistical Independence
MITA: An Information Extraction Approach to Analysis of Free-Form Text in Life Insurance Applications
User-Specific Learning for Recognizing a Singer's Intended Pitch
Computing Rational Decisions In Extensive Games With Limited Foresight
The Feature Selection Problem: Traditional Methods and a New Algorithm
Using Formal Meta-Data Descriptions for Automated Ecological Modeling
Using k-Way Co-Occurrences for Learning Word Embeddings
Measuring Cross-Modal Interactions in Multimodal Models
Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract)
AI, Ethics, and Society, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 13, 2016
Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications
Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images
RepFace: Refining Closed-Set Noise with Progressive Label Correction for Face Recognition
Visual Concept Reasoning Networks
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation
Learning Personalized End-to-End Goal-Oriented Dialog
Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies
Transfer Reinforcement Learning with Shared Dynamics
Combating Sampling Bias: A Self-Training Method in Credit Risk Models
Generating Chinese Ci with Designated Metrical Structure
Generating Character Descriptions for Automatic Summarization of Fiction
General Acyclicity and Cyclicity Notions for the Disjunctive Skolem Chase
ContextHOI: Spatial Context Learning for Human-Object Interaction Detection
Attention-Based Transactional Context Embedding for Next-Item Recommendation
Towards Faster Planning with Continuous Resources in Stochastic Domains
Probabilistic Reasoning and Learning for Trustworthy AI
Unleashing the Power of Visual Foundation Models for Generalizable Semantic Segmentation
Proving the Correctness of Digital Hardware Designs
Crowdsensing Air Quality with Camera-Enabled Mobile Devices
Characterizing Non-Intermittent Faults
Refining HTN Methods via Task Insertion with Preferences
Point-Based Approaches to Qualitative Temporal Reasoning
Universe Points Representation Learning for Partial Multi-Graph Matching
Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision
Gated Convolutional Networks with Hybrid Connectivity for Image Classification
Dynamic-Width Speculative Beam Decoding for LLM Inference
TALIB: An IC Layout Design Assistant
Hierarchical Online Instance Matching for Person Search
On Vectorization of Deep Convolutional Neural Networks for Vision Tasks
SQLFixAgent: Towards Semantic-Accurate Text-to-SQL Parsing via Consistency-Enhanced Multi-Agent Collaboration
Adversarial Purification with the Manifold Hypothesis
The Bernstein Mechanism: Function Release under Differential Privacy
Measuring Dependence with Matrix-based Entropy Functional
Moral Permissibility of Action Plans
Planning Over Multi-Agent Epistemic States: A Classical Planning Approach
Robust Multi-View Subspace Learning through Dual Low-Rank Decompositions
Complexity of K-Tree Structured Constraint Satisfaction Problems
Extending the Mathematics in Qualitative Process Theory
Proportional Representation in Practice: Quantifying Proportionality in Ordinal Elections
Is it all a cluster game? - Exploring Out-of-Distribution Detection based on Clustering in the Embedding Space
Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits
Online Graph Pruning for Pathfinding On Grid Maps
Knowledge-Infused Learning for Developing a Mental Health Diagnostic Copilot in Healthcare Systems
Learning Generalized Medical Image Segmentation from Decoupled Feature Queries
Importance Weighting Can Help Large Language Models Self-Improve
Parameter Estimation for Relational Kalman Filtering
Post-Analysis of Learned Rules
CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems
Towards Optimal Discrete Online Hashing with Balanced Similarity
Coordination and Adaptation in Impromptu Teams
Generalization Analysis for Deep Contrastive Representation Learning
What Do Multiwinner Voting Rules Do? An Experiment Over the Two-Dimensional Euclidean Domain
On the Relationship between Lexical Semantics and Syntax for the Inference of Context-Free Grammars
The Formalization of AI Risk Management and Safety Standards
Comparing Cognitive and Computational Models of Narrative Structure
Geometric Relationship between Word and Context Representations
SqueezedText: A Real-Time Scene Text Recognition by Binary Convolutional Encoder-Decoder Network
IPO: Interior-Point Policy Optimization under Constraints
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation
Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention
Reasoning about Evidence in Causal Explanations
Almost Envy-freeness, Envy-rank, and Nash Social Welfare Matchings
A Cognitive Hierarchy Model Applied to the Lemonade Game
Panini-Net: GAN Prior Based Degradation-Aware Feature Interpolation for Face Restoration
How Incomplete Is Your Semantic Web Reasoner?
Fortune Teller: Predicting Your Career Path
Wasserstein Adversarial Transformer for Cloud Workload Prediction
TAMER: Tree-Aware Transformer for Handwritten Mathematical Expression Recognition
GenAuction: A Generative Auction for Online Advertising
On the Completeness of Lifted Variable Elimination
Multivariate Conditional Outlier Detection and Its Clinical Application
Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-identification
The Goldilocks Zone: Towards Better Understanding of Neural Network Loss Landscapes
Class-Wise Adaptive Self Distillation for Federated Learning on Non-IID Data (Student Abstract)
Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations
Extended Isomap for Pattern Classification
Controlling Neural Machine Translation Formality with Synthetic Supervision
Learned Behaviors of Multiple Autonomous Agents in Smart Grid Markets
Learning Model-Based Privacy Protection under Budget Constraints
Simultaneous Optimization of Bid Shading and Internal Auction for Demand-Side Platforms
Fair and Efficient Allocations of Chores under Bivalued Preferences
Smart Charging of Electric Vehicles using Reinforcement Learning
Uncertainty in Preference Elicitation and Aggregation
FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning
Unbiased Multivariate Correlation Analysis
Zero-Sum Games between Mean-Field Teams: Reachability-Based Analysis under Mean-Field Sharing
A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning
Economic Hierarchical Q-Learning
Truthful Mechanisms without Money for Non-Utilitarian Heterogeneous Facility Location
Mereological Semantics for Bio-Ontologies
TrackGo: A Flexible and Efficient Method for Controllable Video Generation
Improving Label Noise Robustness with Data Augmentation and Semi-Supervised Learning (Student Abstract)
Efficient-UCBV: An Almost Optimal Algorithm Using Variance Estimates
SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation
A Context Aware Approach for Generating Natural Language Attacks
Towards Realistic Semi-supervised Medical Image Classification
Self-Correcting Models for Model-Based Reinforcement Learning
Capturing Semantic Correlation for Item Recommendation in Tagging Systems
Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition
Robust Ordinal Embedding from Contaminated Relative Comparisons
A Network View of Human Ingestion and Health: Instrumental Artificial Intelligence
Online ARIMA Algorithms for Time Series Prediction