yusuke1997/dblp-id-title huggingface dataset:
Learning Noun-Modifier Semantic Relations with Corpus-based and WordNet-based Features
Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control
Hierarchical Attention Network for Image Captioning
FedCross: Intertemporal Federated Learning Under Evolutionary Games
COGIN: Symbolic Induction with Genetic Algorithms
Multidimensional and Longitudinal Indicators in Population Health
Analyzing Agents that Learn about Agents
POMDP-Based Decision Making for Fast Event Handling in VANETs
Learning to Resolve Natural Language Ambiguities: A Unified Approach
Efficient Enumeration of Markov Equivalent DAGs
Analysis of Utility-Theoretic Heuristics for Intelligent Adaptive Network Routing
Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction
QE-III: A Formal Approach to Natural Language Ouerying
LMLFM: Longitudinal Multi-Level Factorization Machine
Complete Information Pursuit Evasion in Polygonal Environments
MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records
Perpetual Voting: Fairness in Long-Term Decision Making
Toward a Theory of Learning Coherent Concepts
UniCell: Universal Cell Nucleus Classification via Prompt Learning
Teacher Guided Neural Architecture Search for Face Recognition
Attribute-Missing Graph Clustering Network
EventMamba: Enhancing Spatio-Temporal Locality with State Space Models for Event-Based Video Reconstruction
Understanding Unique Behavioral Patterns through Multimodal Analysis of Eye-Hand Coordination in Autistic Children (Student Abstract)
Can We Achieve Open Category Detection with Guarantees?
Data Dependencies on Inequalities
Towards an Intelligent Code Search Engine
Narrative Plan Generation with Self-Supervised Learning
Beyond Test Accuracy: The Effects of Model Compression on CNNs
Frequency-Aware Density Control via Reparameterization for High-Quality Rendering of 3D Gaussian Splatting
Learning Higher-Order Programs through Predicate Invention
The Database Approach to Knowledge Represention
Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests
Multi-Scale Control Signal-Aware Transformer for Motion Synthesis without Phase
NightReID: A Large-Scale Nighttime Person Re-Identification Benchmark
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis
The Master Key Filters Hypothesis: Deep Filters Are General
Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models
Dissertation in Progress: An Empirical Analysis of the Costs and Benefits of Naturalness in Spoken Dialog Systems
Learning Market Parameters Using Aggregate Demand Queries
On the Computation of Paracoherent Answer Sets
Margin of Victory in Tournaments: Structural and Experimental Results
Multi-modal Graph Fusion for Named Entity Recognition with Targeted Visual Guidance
Expert-Informed, User-Centric Explanations for Machine Learning
Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation
A Large-Scale Dataset for Argument Quality Ranking: Construction and Analysis
The Semantic Interpretation of Trust in Multiagent Interactions
A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing
Unsupervised Learning Helps Supervised Neural Word Segmentation
One at a Time: Progressive Multi-Step Volumetric Probability Learning for Reliable 3D Scene Perception
Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract)
Fast and Slow Gradient Approximation for Binary Neural Network Optimization
Tractable Algorithms for Approximate Nash Equilibria in Generalized Graphical Games with Tree Structure
Computer Poker and Imperfect Information, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January 26, 2015
CIGAR: Concurrent and Interleaving Goal and Activity Recognition
Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances
Development of a Human-Agent Interaction System including Norm and Emotion in an Evacuation Situation (Student Abstract)
Self-View Grounding Given a Narrated 360° Video
Making Large Vision Language Models to Be Good Few-Shot Learners
Autonomous Option Invention for Continual Hierarchical Reinforcement Learning and Planning
Learning in Massively Parallel Nets (Panel)
Approximate Multiplication of Sparse Matrices with Limited Space
MaskGEC: Improving Neural Grammatical Error Correction via Dynamic Masking
A Constraint-Based Approach to High-School Timetabling Problems: A Case Study
Combining Logical Abduction and Statistical Induction: Discovering Written Primitives with Human Knowledge
Adapting Honeypot Configurations to Detect Evolving Exploits
Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search
DR-Prolog: A System for Reasoning with Rules and Ontologies on the Semantic Web
Accelerated Sparse Linear Regression via Random Projection
Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty
DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation
A Complexity Analysis of Space-Bounded Learning Algorithms for the Constraint Satisfaction Problem
Using a Trust Model in Decision Making for Supply Chain Management
ERCI: An Explainable Experience Replay Approach with Causal Inference for Deep Reinforcement Learning
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels
Exploiting a Thesaurus-Based Semantic Net for Knowledge-Based Search
Complexity of Deliberative Coalition Formation
Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction
Exploiting Sentence Embedding for Medical Question Answering
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning
Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space
RepRev: Mitigating the Negative Effects of Misreported Ratings
Deep Apprenticeship Learning for Playing Video Games
Adversarial Training Reduces Information and Improves Transferability
Nonlinear Optimization and Symbolic Dynamic Programming for Parameterized Hybrid Markov Decision Processes
Generating Trading Agent Strategies
Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing
Reborn Filters: Pruning Convolutional Neural Networks with Limited Data
GeCC: Generalized Contrastive Clustering with Domain Shifts Modeling
Learning Augmented Methods for Matching: Improving Invasive Species Management and Urban Mobility
Bivariate Beta-LSTM
A Scalable Parallel Algorithm for Balanced Sampling (Student Abstract)
Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering
Local Discriminant Hyperalignment for Multi-Subject fMRI Data Alignment
On Acting Together
Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention
Counting Maximal Satisfiable Subsets
SnapNETS: Automatic Segmentation of Network Sequences with Node Labels
Generalized Arc Consistency Algorithms for Table Constraints: A Summary of Algorithmic Ideas
Basis Function Discovery Using Spectral Clustering and Bisimulation Metrics
Proposed Interestingness Measure for Characteristic Rules
MUCD: Unsupervised Point Cloud Change Detection via Masked Consistency
Improving ECG Classification Using Generative Adversarial Networks
Adaptive Sampling with Optimal Cost for Class-Imbalance Learning
Effective Integration of Weighted Cost-to-Go and Conflict Heuristic within Suboptimal CBS
RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing
Learning to Handle Inconsistency for Multi-Source Integration
Structural Correspondence Learning for Cross-Lingual Sentiment Classification with One-to-Many Mappings
Estimating α-Rank by Maximizing Information Gain
Tracking Occluded Objects and Recovering Incomplete Trajectories by Reasoning About Containment Relations and Human Actions
Look Around Before Locating: Considering Content and Structure Information for Visual Grounding
Gradient Boosting for Sequence Alignment
A Nested Bi-level Optimization Framework for Robust Few Shot Learning
Private Model Compression via Knowledge Distillation
Personalized Healthcare for Patients Access to Price Transparency
Job-Shop Scheduling: An Investigation in Constraint-Directed Reasoning
Embodied Visual Active Learning for Semantic Segmentation
Modelling Autobiographical Memory Loss across Life Span
An Imperfect Algorithm for Coalition Structure Generation
Assistive AI for Coping with Memory Loss
On Optimizing Interventions in Shared Autonomy
Spoofing the Limit Order Book: An Agent-Based Model
Reinforcement Learning with Parameterized Actions
Knowledge-Based Simulation of a Glass Annealing Process: An AI Application in the Glass Industry
Optimization of Hierarchical Regression Model with Application to Optimizing Multi-Response Regression K-ary Trees
SKILL: A System for Skill Identification and Normalization
A Characterization of the Single-Peaked Single-Crossing Domain
One More Check: Making "Fake Background" Be Tracked Again
Measurement Maximizing Adaptive Sampling with Risk Bounding Functions
Deploying AI Methods for Mental Health in Singapore: From Mental Wellness to Serious Mental Health Conditions
A Position-Biased PageRank Algorithm for Keyphrase Extraction
Indefinite and GCWA Inference in Indefinite Deductive Databases
Location-Sensitive User Profiling Using Crowdsourced Labels
Improved English to Russian Translation by Neural Suffix Prediction
Disjunctive Program Synthesis: A Robust Approach to Programming by Example
Non-Linear Similarity Learning for Compositionality
Efficient Anomaly Detection of Irregular Sequences in Ct-Echo Model Space
Analysis of the Internal Representations in Neural Networks for Machine Intelligence
Reasoning about Intended Actions
Investigating Contingency Awareness Using Atari 2600 Games
Towards More Creative Case-Based Design Systems
Measuring the Uncertainty of Differences for Contrasting Groups
Maintaining Cooperation in Noisy Environments
Extending Continuous Time Bayesian Networks
Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation
MATWA: A Web Toolkit for Matching Under Preferences
Analytical-Chemistry-Informed Transformer for Infrared Spectra Modeling
MALA: Cross-Domain Dialogue Generation with Action Learning
Model Counting and Sampling via Semiring Extensions
Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation
Discovering Functional Formulas through Changing Representation Base
A Controllable Model of Grounded Response Generation
Disentangled Spatiotemporal Graph Generative Models
Maximum Margin Multi-Dimensional Classification
Advice Provision in Multiple Prospect Selection Problems
Correlated Cascades: Compete or Cooperate
On the Effectiveness of Linear Models for One-Class Collaborative Filtering
Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks
Inter-Club Kidney Exchange
Cross-Lingual Learning With Distributed Representations
Multi-Agent Reinforcement Learning Controller to Maximize Energy Efficiency for Multi-Generator Industrial Wave Energy Converter
PAG2ADMG: A Novel Methodology to Enumerate Causal Graph Structures
BigCQ: Generating a Synthetic Set of Competency Questions Formalized into SPARQL-OWL (Student Abstract)
NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization
Efficient Benchmarking of Hyperparameter Optimizers via Surrogates
A Variant of Concurrent Constraint Programming on GPU
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes
Overcoming Language Priors in VQA via Decomposed Linguistic Representations
Task Aligned Generative Meta-learning for Zero-shot Learning
Large Occluded Human Image Completion via Image-Prior Cooperating
Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee
Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis
Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection
Exploring the Use of Shatter for AllSAT Through Ramsey-Type Problems
SkipDiff: Adaptive Skip Diffusion Model for High-Fidelity Perceptual Image Super-resolution
Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection
Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks
AI-Assisted Controls Change Management for Cybersecurity in the Cloud
Learning from Mistakes: Self-correct Adversarial Training for Chinese Unnatural Text Correction
Efficient Automatic CASH via Rising Bandits
Counterfactual Explanations of Machine Learning Predictions: Opportunities and Challenges for AI Safety
fGOT: Graph Distances Based on Filters and Optimal Transport
Leveraging Domain Knowledge in Multitask Bayesian Network Structure Learning
Relational Classification of Biological Cells in Microscopy Images
Riemann-based Multi-scale Attention Reasoning Network for Text-3D Retrieval
A Fast Path Planner for a Car-Like Indoor Mobile Robot
Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs
Text Compression as a Test for Artificial Intelligence
WildFake: A Large-Scale and Hierarchical Dataset for AI-Generated Images Detection
Learning Second-Order Attentive Context for Efficient Correspondence Pruning
All-in Text: Learning Document, Label, and Word Representations Jointly
Learning Generalized Segmentation for Foggy-Scenes by Bi-directional Wavelet Guidance
Continual Variational Autoencoder via Continual Generative Knowledge Distillation
Interpretable Failure Detection with Human-Level Concepts
Effective and Efficient Representation Learning for Flight Trajectories
Bayesian Unification of Sound Source Localization and Separation with Permutation Resolution
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Performance of a System to Locate Address Blocks on Mail Pieces
AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training
System Integration of Knowledge-Based Maintenance Aids
VIoTGPT: Learning to Schedule Vision Tools Towards Intelligent Video Internet of Things
Plan, Activity, and Intent Recognition, Papers from the 2011 AAAI Workshop, San Francisco, California, USA, August 07, 2011
SAS: Self-Augmentation Strategy for Language Model Pre-training
Using Auxiliary Variables and Implied Constraints to Model Non-Binary Problems
Change or Not: A Simple Approach for Plug and Play Language Models on Sentiment Control
The Crystallographer's Assistant
Shallow-UWnet: Compressed Model for Underwater Image Enhancement (Student Abstract)
Knowledge Graph Grounded Goal Planning for Open-Domain Conversation Generation
Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges
Balancing Humans and Machines: A Study on Integration Scale and Its Impact on Collaborative Performance
Phoneme-Level Feature Discrepancies: A Key to Detecting Sophisticated Speech Deepfakes
ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models
A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models
Learning Feature Representations for Keyphrase Extraction
Proceedings of the 7th National Conference on Artificial Intelligence, St. Paul, MN, USA, August 21-26, 1988
ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks
Graph Few-Shot Learning via Knowledge Transfer
The Price of Connectivity in Fair Division
Using Options to Accelerate Learning of New Tasks According to Human Preferences
Predictive Agent-Based Modeling of Natural Disasters Using Machine Learning
Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption
Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning
On Finding Optimal Polytrees
Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation
Action-Based Imperative Programming with YAGI
Improvement of Multi-AUV Cooperation through Teammate Verification
Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility
Anchor DETR: Query Design for Transformer-Based Detector
Visual Grammars for Visual Languages
Pareto Ensemble Pruning
From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables
SEPT: Towards Scalable and Efficient Visual Pre-training
Semi-Supervised Clustering with Limited Background Knowledge
Hybrid Attentive Answer Selection in CQA With Deep Users Modelling
Semantic Parsing in Task-Oriented Dialog with Recursive Insertion-Based Encoder
Identifying Direct Causal Effects in Linear Models
Multi-Cycle Query Caching in Agent Programming
Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers
PanTop: Pandemic Topic Detection and Monitoring System (Student Abstract)
ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data
Ranking with Recursive Neural Networks and Its Application to Multi-Document Summarization
Acceleration of Large Transformer Model Training by Sensitivity-Based Layer Dropping
Weighted Envy-Freeness for Submodular Valuations
Adversarial Learning from Crowds
SVM-Based Deep Stacking Networks
Quasi-Monotonic Segmentation of State Variable Behavior for Reactive Control
An Experimental Study of Advice in Sequential Decision-Making Under Uncertainty
Interpretation of Neural Networks Is Fragile
Subset Selection by Pareto Optimization with Recombination
Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward
LDMVFI: Video Frame Interpolation with Latent Diffusion Models
The Persistence of Derived Information
Moving Target Search with Intelligence
Learning Coarse-to-Fine Structured Feature Embedding for Vehicle Re-Identification
Multi-Armed Bandit with Budget Constraint and Variable Costs
Model-Based Monitoring and Diagnosis of Systems with Software-Extended Behavior
Crowd-Level Abnormal Behavior Detection via Multi-Scale Motion Consistency Learning
Towards Real-Time Approximate Counting
PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification
Knowledge-Driven Distractor Generation for Cloze-Style Multiple Choice Questions
Constraints & Agents: Collected Papers from the 1997 AAAI Workshop, Providence, RI, USA, July 27, 1997
Reference Based LSTM for Image Captioning
HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders
Zero-Shot Scene Change Detection
Localized K-Flats
Linear Equations with Min and Max Operators: Computational Complexity
Distances Between Top-Truncated Elections of Different Sizes
Automatic Bayesian Density Analysis
Justifying All Differences Using Pseudo-Boolean Reasoning
Sequential Joint Dependency Aware Human Pose Estimation with State Space Model
Joint Character-Level Word Embedding and Adversarial Stability Training to Defend Adversarial Text
Reasoning Under Inconsistency Based on Implicitly-Specified Partial Qualitative Probability Relations: A Unified Framework
Learning to Pivot as a Smart Expert
Transferring the Contamination Factor between Anomaly Detection Domains by Shape Similarity
Global Context-Aware Progressive Aggregation Network for Salient Object Detection
Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks
Reachability Analysis of Neural Network Control Systems
ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization
The Frame Problem and Knowledge-Producing Actions
SUMI-IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints
LTLf Synthesis on First-Order Agent Programs in Nondeterministic Environments
What Is Believed Is What Is Explained (Sometimes)
An Implementation of the Contract Net Protocol Based on Marginal Cost Calculations
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles
Local Centroids Structured Non-Negative Matrix Factorization
MineObserver 2.0: A Deep Learning & In-Game Framework for Assessing Natural Language Descriptions of Minecraft Imagery
Computing Game-Theoretic Solutions and Applications to Security
Learning to Solve NP-Complete Problems: A Graph Neural Network for Decision TSP
CoDTS: Enhancing Sparsely Supervised Collaborative Perception with a Dual Teacher-Student Framework
Generating Coherent Summaries with Textual Aspects
Backprop-Free Reinforcement Learning with Active Neural Generative Coding
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders
Efficient Bounds in Heuristic Search Algorithms for Stochastic Shortest Path Problems
Discovering Spammers in Social Networks
ChildrEN SafEty and Rescue (CENSER) System for Trafficked Children from Brothels in India
A Metalinguistic Approach to the Construction of Knowledge Base Refinement Systems
Proceedings of the Workshop on Artificial Intelligence Safety 2022 (SafeAI 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022), Virtual, February, 2022
Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network
Session Based Click Features for Recency Ranking
Latent Space Explanation by Intervention
A Causal Debiasing Framework for Unsupervised Salient Object Detection
LSTD: A Low-Shot Transfer Detector for Object Detection
Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs
Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs
Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction
A Program Model and Knowledge Base for Computer Aided Program Synthesis
Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering
RPM-Oriented Query Rewriting Framework for E-commerce Keyword-Based Sponsored Search (Student Abstract)
Prototypical Calibrating Ambiguous Samples for Micro-Action Recognition
Nonmonotonic Inheritance and Generic Reflexives
A2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes
Multi-Task Recurrent Modular Networks
Preferences over Sets
How Human Centered AI Will Contribute Towards Intelligent Gaming Systems
Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis
As Pseudo-Label Free as Possible: Leveraging Adaptive Feature Generation for Sparsely Annotated Object Detection
Amazon PARS at Memotion 2.0 2022: Multi-modal Multi-task Learning for Memotion 2.0 Challenge (short paper)
Asymmetric Learning for Spectral Graph Neural Networks
Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks
Finding Semantic Inconsistencies in UMLS using Answer Set Programming
Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming
MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug-Drug Interaction Prediction
An Adaptive Noise Mechanism for WalkSAT
Hermes: Supporting Argumentative Discourse in Multi-Agent Decision Making
Inferring Same-As Facts from Linked Data: An Iterative Import-by-Query Approach
Chaotic Time Series Prediction Using a Photonic Reservoir Computer with Output Feedback
HiTKG: Towards Goal-Oriented Conversations via Multi-Hierarchy Learning
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification
InteDisUX: Intepretation-Guided Discriminative User-Centric Explanation for Time Series
Identifying Contributing Factors of Occupant Thermal Discomfort in a Smart Building
Social Recommendation via Graph-Level Counterfactual Augmentation
How Important Is Weight Symmetry in Backpropagation?
Modeling Issues in Multimedia Car-Driver Interaction
A Paragraph-level Multi-task Learning Model for Scientific Fact-Verification
Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence