yusuke1997/dblp-id-title huggingface dataset:
Monitoring Food Safety by Detecting Patterns in Consumer Complaints
Sustaining Economic Exploitation of Complex Ecosystems in Computational Models of Coupled Human-Natural Networks
A Hierarchical Planner that Generates Its Own Hierarchies
An Oral Exam for Measuring a Dialog System's Capabilities
Learning Interpretable Models for Coupled Networks Under Domain Constraints
Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval
Automated, Interpretable, and Scalable Scientific Machine Learning
Causal-Driven Skill Prerequisite Structure Discovery
AI Driven Accounts Payable Transformation
Semi-Supervised Dimension Reduction for Multi-Label Classification
Forming Coalitions in the Face of Uncertain Rewards
A Nearly-Black-Box Online Algorithm for Joint Parameter and State Estimation in Temporal Models
Asynchronous Bidirectional Decoding for Neural Machine Translation
Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume
Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction
Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping Assistant
Accelerating and Improving AlphaZero Using Population Based Training
Convergence to Equilibria in Plurality Voting
Formalizing Dependency Directed Backtracking and Explanation Based Learning in Refinement Search
A SAT+CAS Method for Enumerating Williamson Matrices of Even Order
Argument Molecules: A Functional Representation of Argument Structure
Favorite-Candidate Voting for Eliminating the Least Popular Candidate in a Metric Space
DAST: Unsupervised Domain Adaptation in Semantic Segmentation Based on Discriminator Attention and Self-Training
Sparse Variational Student-t Processes
InstanceFormer: An Online Video Instance Segmentation Framework
A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility
Scalable Spatiotemporal Graph Neural Networks
Expressing Arbitrary Reward Functions as Potential-Based Advice
A Change-Detection Based Framework for Piecewise-Stationary Multi-Armed Bandit Problem
Detecting Suspicious Timber Trades
Learning Artificial Intelligence: Insights into How Youth Encounter and Build Understanding of AI Concepts
ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection
LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model
Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks
i-Algebra: Towards Interactive Interpretability of Deep Neural Networks
Carburacy: Summarization Models Tuning and Comparison in Eco-Sustainable Regimes with a Novel Carbon-Aware Accuracy
Global Mixup: Eliminating Ambiguity with Clustering
Using Multiple Representations to Simultaneously Learn Computational Thinking and Middle School Science
Emergence-Inspired Multi-Granularity Causal Learning
Unsupervised Fake News Detection on Social Media: A Generative Approach
BlogVox: Learning Sentiment Classifiers
A Probabilistic Soft Logic Based Approach to Exploiting Latent and Global Information in Event Classification
Externalizing Internal State
A Value Theory of Meta-Learning Algorithms
Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training
EF2X Exists for Four Agents
Visual Tactile Fusion Object Clustering
Tractable Reasoning in First-Order Knowledge Bases with Disjunctive Information
A Context-Based Framework for Default Logics
Defining and Identifying the Legal Culpability of Side Effects using Causal Graphs
Verifying that Agents Implement a Communication Language
An Investigation of Sensitivity on Bagging Predictors: An Empirical Approach
DDViT: Double-Level Fusion Domain Adapter Vision Transformer (Student Abstract)
Towards Domain Invariant Single Image Dehazing
Learning other Agents' Preferences in Multiagent Negotiation
Market Pricing for Data Streams
Some Tractable Combinatorial Auctions
DISPUTool 2.0: A Modular Architecture for Multi-Layer Argumentative Analysis of Political Debates
Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision
Constructive Adaptive User Interfaces - Composing Music Based on Human Feelings
Learning With Incomplete Labels
A Collaborative Interface for Editing Large Knowledge Bases
Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks
Modeling User Perception of Interaction Opportunities in Collaborative Human-Computer Settings
Self-Paced Curriculum Learning
ShadowFormer: Global Context Helps Shadow Removal
A Unified Degradation-Robust Approach to SSL and UDA for 3D Medical Images
DBA: Dynamic Multi-Armed Bandit Algorithm
Enhancing Multi-View Classification Reliability with Adaptive Rejection
Combining Preference Elicitation with Local Search and Greedy Search for Matroid Optimization
Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion
VE-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment
Bridging the Gap: Enhancing LLM Performance for Low-Resource African Languages with New Benchmarks, Fine-Tuning, and Cultural Adjustments
Latent Dependency Forest Models
Focusing Generalizations of Belief Propagation on Targeted Queries
Towards Reproducible, Automated, and Scalable Anomaly Detection
FlexiTex: Enhancing Texture Generation via Visual Guidance
Mind Your Language: Abuse and Offense Detection for Code-Switched Languages
Almost Cost-Free Communication in Federated Best Arm Identification
Behavioral Learning in Security Games: Threat of Multi-Step Manipulative Attacks
Plan Reordering and Parallel Execution - A Parameterized Complexity View
TextNAS: A Neural Architecture Search Space Tailored for Text Representation
Exploring Commonality and Individuality for Multi-Modal Curriculum Learning
The Senior Transportation Problem
Comparison of Clustering Metrics and Unsupervised Learning Algorithms on Genome-Wide Gene Expression Level Data
PAC Reinforcement Learning With an Imperfect Model
AIM: Let Any Multimodal Large Language Models Embrace Efficient In-Context Learning
The Regularized EM Algorithm
Combinatorial Auctions with k- wise Dependent Valuations
Iteratively Enhanced Semidefinite Relaxations for Efficient Neural Network Verification
Online MDP with Prototypes Information: A Robust Adaptive Approach
Building a Parser That can Afford to Interact with Semantics
Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context
AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series
Learning Pattern-Based Extractors from Natural Language and Knowledge Graphs: Applying Large Language Models to Wikipedia and Linked Open Data
Efficient Indoor Depth Completion Network Using Mask-adaptive Gated Convolution
Representation Learning of Knowledge Graphs with Entity Descriptions
Justified Representation in Approval-Based Committee Voting
Beyond Trees: Analysis and Convergence of Belief Propagation in Graphs with Multiple Cycles
Critical Forgetting-Based Multi-Scale Disentanglement for Deepfake Detection
Intelligent Output Interface for Intelligent Medical Search Engine
Indirect Reciprocity and Costly Assessment in Multiagent Systems
A Regularized Linear Dynamical System Framework for Multivariate Time Series Analysis
Fast Hierarchical Goal Schema Recognition
First-Order Automata
Temporal Planning with Intermediate Conditions and Effects
Mechanism Design for Multi-Type Housing Markets
Group-Wise Dynamic Dropout Based on Latent Semantic Variations
The Complexity of Reasoning with FODD and GFODD
Using an Annotated Language Corpus as a Virtual Stochastic Grammar
Unsupervised Editing for Counterfactual Stories
A Signal-Symbol Approach to Change Detection
From Gambits to Assurances: Game-Theoretic Integration of Safety and Learning for Interactive Robotics
Generating Explanations of Device Behavior Using Compositional Modeling and Causal Ordering
Region-Based Optimization in Continual Learning for Audio Deepfake Detection
SYNTEL TM : Knowledge Programming Using Functional Representations
RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning
Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its Predictions
Stochastic Local Search for POMDP Controllers
Semi-Supervised Matrix Completion for Cross-Lingual Text Classification
Data Monitoring for Large Scale Public Health Data
Towards Transferable Adversarial Attacks on Vision Transformers
Mind the Gap: Polishing Pseudo Labels for Accurate Semi-supervised Object Detection
Towards an Integrated Robot with Multiple Cognitive Functions
Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation
Referring Expression Comprehension Using Language Adaptive Inference
Controlling Selection Bias in Causal Inference
Context-Specific Representation Abstraction for Deep Option Learning
Support Vector-based Estimation of Multilinear Games for Feature Selection and Explanation
The Relationship between Architectures and Example-Retrieval Times
Transferable Curriculum for Weakly-Supervised Domain Adaptation
Controllable Mind Visual Diffusion Model
Clustering Interval-Censored Time-Series for Disease Phenotyping
Structured Probabilistic Models: Bayesian Networks and Beyond
Source Traces for Temporal Difference Learning
WAIS: Word Attention for Joint Intent Detection and Slot Filling
Near-Optimal Active Learning of Multi-Output Gaussian Processes
MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-Based Image Captioning
Instance-Based Online Learning of Deterministic Relational Action Models
Dempster-Shafer Theoretic Learning of Indirect Speech Act Comprehension Norms
Collaboratively-Built Knowledge Sources and Artificial Intelligence, Papers from the 2010 AAAI Workshop, Atlanta, Georgia, USA, July 11, 2010
Cross-Modal Attention Network for Temporal Inconsistent Audio-Visual Event Localization
COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks
Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits
Toward Operational Safety Verification of AI-Enabled CPS (Student Abstract)
Memory-Efficient Reversible Spiking Neural Networks
InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting
Adaptive Abstraction of Constraint-Based Models for Self-Diagnosis and Planning
Active Learning with Query Generation for Cost-Effective Text Classification
Compressing POMDPs Using Locality Preserving Non-Negative Matrix Factorization
NavBot: The Navigational Search-and-Rescue Robot
Realizing AI for Impact: Towards Participatory Human-AI Collaboration for Water Conservation and Reproductive Health
Learning Systems of Concepts with an Infinite Relational Model
Acting Beyond Learning: Imagination-Assisted Decision-Making in the Visual-based Multi-Agent Cooperative Scenarios
Fake News Detection System Using XLNet Model with Topic Distributions: CONSTRAINT@AAAI2021 Shared Task
G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint)
Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances
DLPaper2Code: Auto-Generation of Code From Deep Learning Research Papers
Generative Label Enhancement with Gaussian Mixture and Partial Ranking
Unsupervised Self-Prior Embedding Neural Representation for Iterative Sparse-View CT Reconstruction
Enhancing Robustness in Incremental Learning with Adversarial Training
Soft Target-Enhanced Matching Framework for Deep Entity Matching
DarkFeat: Noise-Robust Feature Detector and Descriptor for Extremely Low-Light RAW Images
Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework
UVAGaze: Unsupervised 1-to-2 Views Adaptation for Gaze Estimation
Optimal Packing of High-Precision Rectangles
Negation, Contrast and Contradiction in Text Processing
Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting
Classifying Cue Phrases in Text and Speech Using Machine Learning
Enhancing Pseudo Label Quality for Semi-supervised Domain-Generalized Medical Image Segmentation
Learning Discriminative Piecewise Linear Models with Boundary Points
VisRec: A Semi-Supervised Approach to Visibility Data Reconstruction in Radio Astronomy
Data Driven Resource Allocation for Distributed Learning
PR + RQ ALMOST EQUAL TO PQ: Transliteration Mining Using Bridge Language
Compressed Least-Squares Regression on Sparse Spaces
Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs
One-Shot Talking Face Generation from Single-Speaker Audio-Visual Correlation Learning
Answering Regular Path Queries over SQ Ontologies
RETALIATE: Learning Winning Policies in First-Person Shooter Games
On Interruptible Pure Exploration in Multi-Armed Bandits
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with K -Means Features
VIGC: Visual Instruction Generation and Correction
Accelerated Training for Massive Classification via Dynamic Class Selection
Non-Classical Planning for Robotic Applications
PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning
Towards a Unified Approach to Concept Learning
A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering
Active Token Mixer
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles
Predicting Prices in the Power TAC Wholesale Energy Market
Audio-Oriented Multimodal Machine Comprehension via Dynamic Inter- and Intra-modality Attention
A Bias towards Relevance: Recognizing Plans where Goal Minimization Fails
Interaction-Based Invention: Designing Novel Devices from First Principles
PROLEARN: Towards a Prolog Interpreter that Learns
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
Teaching Big Data Analytics Skills with Intelligent Workflow Systems
DARI: Distance Metric and Representation Integration for Person Verification
Stratified Rule-Aware Network for Abstract Visual Reasoning
Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples
Producing and Improving Time Tables by Means of Constraint and Multi-agent Systems
Addressing Class Imbalance in Federated Learning
Efficient Markov Logic Inference for Natural Language Semantics
Can We Trust Fair-AI?
Shipping Departments vs. Shipping Pacemakers: Using Thematic Analysis to Improve Tagging Accuracy
Solving Everyday Physical Reasoning Problems by Analogy Using Sketches
The Impact of Time on the Accuracy of Sentiment Classifiers Created from a Web Log Corpus
Learning Universal Adversarial Perturbation by Adversarial Example
Settlement Analysis Expert (SAX): Modeling Complex Business Logic in the Development of Enterprise Solutions
Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model
Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks
BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference
VIVO: Visual Vocabulary Pre-Training for Novel Object Captioning
Active Dual Collaborative Filtering with Both Item and Attribute Feedback
Hierarchy Prediction in Online Communities
Preference Elicitation as Average-Case Sorting
Numerical Behavior Envelopes for Qualitative Models
Diverse and Stable 2D Diffusion Guided Text to 3D Generation with Noise Recalibration
Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics
Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention
Loads-n-Limits and Release-n-Sequence: The "Brains" behind WEPS
Intelligent Email: Aiding Users with AI
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation
Extracting CCGs for Plan Recognition in RTS Games
Inferring Emotion from Large-scale Internet Voice Data: A Semi-supervised Curriculum Augmentation based Deep Learning Approach
Clustering Ensemble Meets Low-rank Tensor Approximation
VVRec: Reconstruction Attacks on DL-based Volumetric Video Upstreaming via Latent Diffusion Model with Gamma Distribution
Individual Fairness in Kidney Exchange Programs
An Architecture and Formalism for Handling Modular Ontologies
Two Case Studies in Cost-Sensitive Concept Acquisition
Semantic Cities, Papers from the 2012 AAAI Workshop, Toronto, Ontario, Canada, July 22-23, 2012
ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-Order Optimization
Thou Shalt Love Thy Neighbor as Thyself When Thou Playest: Altruism in Game Theory
Graph Pointer Neural Networks
Alleviating Dual Biases in Recommendation (Student Abstract)
Enhancing Nearest Neighbor Based Entropy Estimator for High Dimensional Distributions via Bootstrapping Local Ellipsoid
A Decision Theoretic Model for Stress Recognition and User Assistance
Forward Estimation for Game-Tree Search
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling
Video Summarization Using Denoising Diffusion Probabilistic Model
BIRD: Engineering an Efficient CNF-XOR SAT Solver and Its Applications to Approximate Model Counting
Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes
Bridging the Gap for Test-Time Multimodal Sentiment Analysis
Asynchronous Distributed Semi-Stochastic Gradient Optimization
A Relevance-Based Compilation Method for Conformant Probabilistic Planning
Analysis of Pure Literal Elimination Rule for Non-uniform Random (MAX) k-SAT Problem with an Arbitrary Degree Distribution
Towards Better Understanding the Clothing Fashion Styles: A Multimodal Deep Learning Approach
Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models
Fast and Data Efficient Reinforcement Learning from Pixels via Non-parametric Value Approximation
Semi-factual Explanations in AI
Assessing the Impact of Population Data Domain Differences on Transfer Learning in P300-based Brain-Computer Interfaces (Student Abstract)
DeRDaVa: Deletion-Robust Data Valuation for Machine Learning
Learning to Hash on Structured Data
The Deep Space Network Scheduling Problem
Generalized A* for Cyclic AND/OR Graphs
A Sparse Dictionary Learning Framework to Discover Discriminative Source Activations in EEG Brain Mapping
Vertical Domain Text Classification: Towards Understanding IT Tickets Using Deep Neural Networks
SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images
The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019
Forward-Chaining Planning in Nondeterministic Domains
HogRider: Champion Agent of Microsoft Malmo Collaborative AI Challenge
A Fuzzy Set Approach to Representing Spatio-Temporal and Environmental Context: Preliminary Considerations
Visual Prompts and Graphical Design: A Framework for Exploring the Design Space of 2-D Charts and Graphs
President's Panel: Past Present and Future Presidents Look at the Past Present and Future
Range Image Interpretation of Mail Pieces with Superquadrics
Variable Kernel Density Estimation in High-Dimensional Feature Spaces
Beyond Pixel and Object: Part Feature as Reference for Few-Shot Video Object Segmentation
Goal-Driven Autonomy in a Navy Strategy Simulation
Predicting the Influence of Fake and Real News Spreaders (Student Abstract)
Integrating Planning and Acting in a Case-Based Framework
Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision
Estimation of Local Average Treatment Effect by Data Combination
Object-level Geometric Structure Preserving for Natural Image Stitching
A Minimax Robust Approach for Learning to Assist Users with Pointing Tasks
An Information-Theoretic Quantification of Discrimination with Exempt Features
A Graph-Based Method for Improving GSAT
FakeDiffer: Distributional Disparity Learning on Differentiated Reconstruction for Face Forgery Detection
Low Computation Vision-Based Navigation for a Martian Rover
Keywords-Guided Abstractive Sentence Summarization
Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution
Optimal Testing of Structured Knowledge
Inference in Text Understanding
Co-Dream: Collaborative Dream Synthesis over Decentralized Models
Invariant Representations with Stochastically Quantized Neural Networks
Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective
Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams
Combining Global Relevance Information with Local Contextual Clues for Event-Oriented Information Extraction
AutoGraph: Optimizing DNN Computation Graph for Parallel GPU Kernel Execution
Benchmarking Uncertainty Estimation Methods for Deep Learning With Safety-Related Metrics
Learning Hidden Curved Exponential Family Models to Infer Face-to-Face Interaction Networks from Situated Speech Data
Efficient Federated Learning via Clients-to-Server Knowledge Distillation (Student Abstract)
A First Practical Algorithm for High Levels of Relational Consistency
REMOTE: Reinforced Motion Transformation Network for Semi-supervised 2D Pose Estimation in Videos
A Probabilistic Approach to Knowledge Translation
Beyond Accuracy: On the Effects of Fine-Tuning Towards Vision-Language Model's Prediction Rationality
Goal Recognition in Incomplete STRIPS Domain Models
Complexity and Expressive Power of Disjunction and Negation in Limit Datalog
Energy Constraints on Deformable Models: Recovering Shape and Non-Rigid Motion
Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks
Power in Liquid Democracy
Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework
Steps from Explanation Planning to Model Construction Dialogues
Manipulation and Bribery in Preference Reasoning under Pareto Principle
Safe Temporal Planning for Urban Driving
Upgrading Design Systems
LLM Attributor: Interactive Visual Attribution for LLM Generation
Limited-Supervised Multi-Label Learning with Dependency Noise
KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding
Learning to Transform Natural to Formal Languages
Spectral Distribution Aware Image Generation
Deep Blue Versus Kasparov: The Significance for Artificial Intelligence, Collected Papers from the 1997 AAAI Workshop
Learning from Highly Flexible Tutorial Instruction
Suicide Risk Assessment via Temporal Psycholinguistic Modeling (Student Abstract)
Guiding Search in Continuous State-Action Spaces by Learning an Action Sampler From Off-Target Search Experience
BERTicsson: A Recommender System For Troubleshooting
Towards Automatic Boundary Detection for Human-AI Collaborative Hybrid Essay in Education
Improving Question Generation with Sentence-Level Semantic Matching and Answer Position Inferring
A One-shot Dynamic Coordination Algorithm for Distributed Sensor Networks
Learning Entity and Relation Embeddings for Knowledge Graph Completion
Geometry-Driven Self-Supervised Method for 3D Human Pose Estimation
Extending Tournament Solutions
Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders
Stable Service Placement on Dynamic Peer-to-Peer Networks: A Heuristic for the Distributed k- Center Problem
Multi-Scale Distillation from Multiple Graph Neural Networks
Scalable Decentralized Algorithms for Online Personalized Mean Estimation
Enhanced Regularizers for Attributional Robustness
TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts
Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval
Complexity Results for Compressing Optimal Paths
Belief Maintenance: An Integrated Approach to Uncertainty Management