yusuke1997/dblp-id-title huggingface dataset:
A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing
Unsupervised Feature Selection on Networks: A Generative View
Building Causal Graphs from Medical Literature and Electronic Medical Records
BAM: Benchmarking Argument Mining on Scientific Documents
Swissnoise: Online Polls with Game-Theoretic Incentives
Compressed Heterogeneous Graph for Abstractive Multi-Document Summarization
LREN: Low-Rank Embedded Network for Sample-Free Hyperspectral Anomaly Detection
Bounded Forgetting
Improving Model-Based Diagnosis through Algebraic Analysis: The Petri Net Challenge
One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace
DUCK: A Drone-Urban Cyber-Defense Framework Based on Pareto-Optimal Deontic Logic Agents
Semantic Tagging at the Sense Level
Thought-Path Contrastive Learning via Premise-Oriented Data Augmentation for Logical Reading Comprehension
Power up! Robust Graph Convolutional Network via Graph Powering
Practical Algorithms for Multi-Stage Voting Rules with Parallel Universes Tiebreaking
Self-Paced Two-dimensional PCA
A Novel Embedding Method for News Diffusion Prediction
Negotiation on Data Allocation in Multi-Agent Environments
Constrained Coalition Formation
Automated Generation of Tracking Plans for a Network of Communications Antennas
Pizza Sharing Is PPA-Hard
Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant
SustaInno: Toward a Searchable Repository of Sustainability Innovations
Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation
Fair and Efficient Memory Sharing: Confronting Free Riders
Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule Learning
Frequency Domain Disentanglement for Arbitrary Neural Style Transfer
CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models
Augmentation-Free Self-Supervised Learning on Graphs
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations
Orderly Subspace Clustering
Deep Radial-Basis Value Functions for Continuous Control
Qsco: A Quantum Scoring Module for Open-Set Supervised Anomaly Detection
Learnware Specification via Label-Aware Neural Embedding
Develop AI Teaching and Learning Resources for Compulsory Education in China
Heuristic Voting as Ordinal Dominance Strategies
Mapping Image Properties into Shape Constraints: Skewed Symmetry and Affine-Tramsfornable Patterns, and the Shape-from-Texture Paradigm
Automated Action Abstraction of Imperfect Information Extensive-Form Games
Unsupervised Neural Machine Translation with SMT as Posterior Regularization
A Framework for Outlier Description Using Constraint Programming
Unsupervised Bilingual Lexicon Induction from Mono-Lingual Multimodal Data
Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation
Temporal-Enhanced Convolutional Network for Person Re-Identification
Anytime Local Search for Distributed Constraint Optimization
Goal Recognition as Reinforcement Learning
Scalable Partial Explainability in Neural Networks via Flexible Activation Functions (Student Abstract)
Bayes-Relational Learning of Opponent Models from Incomplete Information in No-Limit Poker
SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal
On Shallow Planning Under Partial Observability
Instance-level Semisupervised Multiple Instance Learning
Sampling for Beyond-Worst-Case Online Ranking
Conceptual Indexing: Practical Large-Scale AI for Efficient Information Access
Learning to Reason
On the Softmax Bottleneck of Recurrent Language Models
Adaptation-Guided Case Base Maintenance
Controversial Users Demand Local Trust Metrics: An Experimental Study on Epinions.com Community
Region-Based Global Reasoning Networks
Tools for Assembling Modular Ontologies in Ontolingua
A Strategic Metagame Player for General Chesslike Games
Colour Passing Revisited: Lifted Model Construction with Commutative Factors
PromptDet: A Lightweight 3D Object Detection Framework with LiDAR Prompts
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning
A New Algorithm for Computing Theory Prime Implicates Compilations
On Declarative Modeling of Structured Pattern Mining
A Layered Approach to People Detection in 3D Range Data
Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation
Model AI Assignments 2021
Estimating Reflectance Layer from a Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning
Amata: An Annealing Mechanism for Adversarial Training Acceleration
Vector Quantization-Based Regularization for Autoencoders
Teaching-to-Learn and Learning-to-Teach for Multi-label Propagation
A Mutually Enhanced Bidirectional Approach for Jointly Mining User Demand and Sentiment (Student Abstract)
Social Cognition: Memory Decay and Adaptive Information Filtering for Robust Information Maintenance
Hierarchical Policy Search via Return-Weighted Density Estimation
FRIH: Fine-Grained Region-Aware Image Harmonization
Inexact Matching of Ontology Graphs Using Expectation-Maximization
Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition
Neural Architectures for Biological Inter-Sentence Relation Extraction
On the Approximation of Nash Equilibria in Sparse Win-Lose Games
Adaptive Dataset Quantization
Overestimation Learning with Guarantees
Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training
Progressive Boundary Refinement Network for Temporal Action Detection
A Fractal Analogy Approach to the Raven's Test of Intelligence
A New Proof of Tractability for ORD-Horn Relations
Armstrong's Axioms and Navigation Strategies
Navigational Plans For Data Integration
Structure Learning for Headline Generation
Optimizing IT FinOps and Sustainability through Unsupervised Workload Characterization
Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding
Fixpoint 3-Valued Semantics for Autoepistemic Logic
Using Closed Captions as Supervision for Video Activity Recognition
Dual Self-Paced Cross-Modal Hashing
Causal Learning versus Reinforcement Learning for Knowledge Learning and Problem Solving
SAGA: A Submodular Greedy Algorithm for Group Recommendation
Cross-Domain Knowledge Transfer Using Structured Representations
The Goal/Subgoal Knowledge Representation for Real-Time Process Monitoring
Controlling the Amount of Verbatim Copying in Abstractive Summarization
Latent Dirichlet Allocation for Unsupervised Activity Analysis on an Autonomous Mobile Robot
LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning
Learning from the Wisdom of Crowds: Exploiting Similar Sessions for Session Search
How Good is Almost Perfect?
xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition
Optimal Projection Guided Transfer Hashing for Image Retrieval
(De)Composition of Situation Calculus Theories
Over-Constrained Systems
Strategic Information Disclosure to People with Multiple Alternatives
ScaleMatch: Multi-scale Consistency Enhancement for Semi-supervised Semantic Segmentation
The Semantics of Event Prevention
Exploiting Parallelism for Hard Problems in Abstract Argumentation
Action-Agnostic Point-Level Supervision for Temporal Action Detection
Context-Based Contrastive Learning for Scene Text Recognition
Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-Means, and Heat Kernel
Sorted Neighborhood for the Semantic Web
PixelLink: Detecting Scene Text via Instance Segmentation
TelTrans: Applying Multi-Type Telecom Data to Transportation Evaluation and Prediction via Multifaceted Graph Modeling
A Diffusion-Based Pre-training Framework for Crystal Property Prediction
Search Action Sequence Modeling With Long Short-Term Memory for Search Task Success Evaluation
Reward-Biased Maximum Likelihood Estimation for Neural Contextual Bandits: A Distributional Learning Perspective
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling
Computing Contingent Plans Using Online Replanning
Probabilistic Learning in Bayesian and Stochastic Neural Networks
Crash to Not Crash: Learn to Identify Dangerous Vehicles Using a Simulator
GenPlan: Generative Sequence Models as Adaptive Planners
LTLf/LDLf Non-Markovian Rewards
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning
Neural Control and Certificate Repair via Runtime Monitoring
A Nonparametric Bayesian Model of Multi-Level Category Learning
Storytelling from an Image Stream Using Scene Graphs
Leveraging Large Language Models for Wind Energy Assessment
On the Relationship Between State-Dependent Action Costs and Conditional Effects in Planning
Selecting Text Spans for Document Summaries: Heuristics and Metrics
Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction
Teaching AI Ethics Using Science Fiction
f-Aware Conflict Prioritization & Improved Heuristics For Conflict-Based Search
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces
Very Hard Electoral Control Problems
MemoryBank: Enhancing Large Language Models with Long-Term Memory
Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-Smoothness in Deep GNNs
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization
Certifying Fairness of Probabilistic Circuits
Can Generative Models Improve Self-Supervised Representation Learning?
Dealing with Infinite Loops, Underestimation, and Overestimation of Depth-First Proof-Number Search
Joint Anaphoricity Detection and Coreference Resolution with Constrained Latent Structures
Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled Yet Hard-to-Learn Samples in Noisy Data
MTVHunter: Smart Contracts Vulnerability Detection Based on Multi-Teacher Knowledge Translation
On the Transitivity of Hypernym-Hyponym Relations in Data-Driven Lexical Taxonomies
Domain-Specific Knowledge Acquisition Using WordNet
A Polynomial-Time Algorithm for Action Graph Games
Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks
Bi-Objective Continual Learning: Learning 'New' While Consolidating 'Known'
Recognition of In-Field Frog Chorusing Using Bayesian Nonparametric Microphone Array Processing
Commonsense Knowledge Base Completion with Structural and Semantic Context
TreeEval: Benchmark-Free Evaluation of Large Language Models through Tree Planning
Controlling Inequality Reasoning in a TMS-Based Analog Diagnosis System
An Experiment in the Design of Software Agents
CCLISP™ on the iPSC™ Concurrent Computer
Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition
Understanding and Improving Optimization in Predictive Coding Networks
Tell Me What They're Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-Object Interaction
Transferable Semi-Supervised Semantic Segmentation
Circuit Minimization with QBF-Based Exact Synthesis
Geometry-Aware Face Completion and Editing
Perceiving Stroke-Semantic Context: Hierarchical Contrastive Learning for Robust Scene Text Recognition
Introducing Machine Learning Concepts by Training a Neural Network to Recognize Hand Gestures
LaViP: Language-Grounded Visual Prompting
Visual Consensus Modeling for Video-Text Retrieval
Stochastic Graphical Bandits with Adversarial Corruptions
TRACE-CS: A Synergistic Approach to Explainable Course Scheduling Using LLMs and Logic
Using Communication to Reduce Locality in Multi-Robot Learning
Fast Computing of Dung Semantics in Acyclic Probabilistic Argumentation Frameworks
The Automated Acquisition of Suggestions from Tweets
Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models
Syntax-Directed Attention for Neural Machine Translation
Hedonic Coalition Formation in Networks
EnsNet: Ensconce Text in the Wild
RLLTE: Long-Term Evolution Project of Reinforcement Learning
HireNet: A Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews
The Value of Paraphrase for Knowledge Base Predicates
Homomorphisms of Lifted Planning Tasks: The Case for Delete-Free Relaxation Heuristics
FedMut: Generalized Federated Learning via Stochastic Mutation
On the Convergence of an Adaptive Momentum Method for Adversarial Attacks
Hierarchical A*: Searching Abstraction Hierarchies Efficiently
Self-Correcting Robot Manipulation via Gaussian-Splatted Foresight
Stress-Testing of Multimodal Models in Medical Image-Based Report Generation
Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay
A Maximum Entropy Approach to Information Extraction from Semi-Structured and Free Text
Strategic Behavior when Allocating Indivisible Goods Sequentially
Procedural Level Generation with Diffusion Models from a Single Example
Minimum Majority Classification and Boosting
Instance-Wise Dynamic Sensor Selection for Human Activity Recognition
Learning to Predict User Operations for Adaptive Scheduling
Path-Adaptive Matting for Efficient Inference Under Various Computational Cost Constraints
TableSense: Spreadsheet Table Detection with Convolutional Neural Networks
Fair Sampling in Diffusion Models through Switching Mechanism
End-User Feature Labeling via Locally Weighted Logistic Regression
Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood
Tightly Coupled Cooperation among Independent Agents
DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo
Robust Non-Negative Dictionary Learning
A Critique of the Smooth Inverse Frequency Sentence Embeddings (Student Abstract)
Acquiring Domain Specific Knowledge and Coreference Cues for Coreference Resolution
Contributing Dimension Structure of Deep Feature for Coreset Selection
Semi-Supervised Clustering Framework for Fine-grained Scene Graph Generation
Remote Supervisory Control of a Humanoid Robot
Parameterized Complexity of Envy-Free Resource Allocation in Social Networks
Self-Attention Attribution: Interpreting Information Interactions Inside Transformer
Bayesian Nonparametric Multi-Optima Policy Search in Reinforcement Learning
Single Player Monte-Carlo Tree Search Based on the Plackett-Luce Model
Spectral Learning of Predictive State Representations with Insufficient Statistics
Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision
Security Games with Arbitrary Schedules: A Branch and Price Approach
An alpha-approximation Protocol for the Generalized Mutual Assignment Problem
Preface: The Beyond NP Workshop
Enhancing Healthcare Predictions with Deep Learning Models
Languages for Learning and Mining
Optimize & Reduce: A Top-Down Approach for Image Vectorization
Word Learning With Hierarchy-Guided Inference
Optimal Sparse Recovery with Decision Stumps
Regional Tree Regularization for Interpretability in Deep Neural Networks
Self-Supervised Category-Level 6D Object Pose Estimation with Deep Implicit Shape Representation
Learning Subject-Aware Cropping by Outpainting Professional Photos
Robust Execution of Probabilistic Temporal Plans
Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems
Learning Deep Latent Space for Multi-Label Classification
SAUI: Scale-Aware Unseen Imagineer for Zero-Shot Object Detection
Learning Better Name Translation for Cross-Lingual Wikification
Disarmament Games
SoF: Soft-Cluster Matrix Factorization for Probabilistic Clustering
Towards Chemical Universal Turing Machines
Automatically Testing Functional Properties of Code Translation Models
Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets
The Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, Saturday, February 4-9, 2017, San Francisco, California, USA
Human Spatial Relational Reasoning: Processing Demands, Representations, and Cognitive Model
See Through Their Minds: Learning Transferable Brain Decoding Models from Cross-Subject fMRI
Loop Formulas for Circumscription
COSINE: Community-Preserving Social Network Embedding From Information Diffusion Cascades
Max-Min Grouped Bandits
Single-Loop Federated Actor-Critic across Heterogeneous Environments
Rewards Structure in Games: Learning a Compact Representation for Action Space
Semi-Supervised Learning with Very Few Labeled Training Examples
Finite Sample Analyses for TD(0) With Function Approximation
Necessarily Optimal One-Sided Matchings
Eliminating the Weakest Link: Making Manipulation Intractable?
Temporal Video Analyzer (TVAN): Efficient Temporal Video Analysis for Robust Video Description and Search
Splitting a Default Theory
Coordinating Hundreds of Cooperative, Autonomous Vehicles in Warehouses
Autonomous Exploration: An Integrated Systems Approach
Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs
Comparing Minimax and Product in a Variety of Games
Multi-Sacle Dynamic Coding Improved Spiking Actor Network for Reinforcement Learning
Execution of Temporal Plans with Uncertainty
Inductive Learning For Abductive Diagnosis
Table-to-Text Generation by Structure-Aware Seq2seq Learning
SD-MVS: Segmentation-Driven Deformation Multi-View Stereo with Spherical Refinement and EM Optimization
User-Controllable Arbitrary Style Transfer via Entropy Regularization
Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests
Knowledge Level and Inductive Uses of Chunking (EBL)
On the Optimal Bit Complexity of Circulant Binary Embedding
Extending CP-Nets with Stronger Conditional Preference Statements
Counterfactual Reasoning in Observational Studies
CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning
Advice Provision for Choice Selection Processes with Ranked Options
Analysis of Joint Multilingual Sentence Representations and Semantic K-Nearest Neighbor Graphs
Question Calibration and Multi-Hop Modeling for Temporal Question Answering
Semantically Guiding a First-Order Theorem Prover with a Soft Model
Learning to Extract Symbolic Knowledge from the World Wide Web
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization
Intuitive Representation of Decision Trees Using General Rules and Exceptions
TCI-Former: Thermal Conduction-Inspired Transformer for Infrared Small Target Detection
Who is Watching You Eat?
Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow
Empirical Evaluation of a Reinforcement Learning Spoken Dialogue System
Non-Model-Based Search Guidance for Set Partitioning Problems
Small-Variance Asymptotics for Dirichlet Process Mixtures of SVMs
Learning Real-World Image De-weathering with Imperfect Supervision
Dynamic Key-Value Memory Enhanced Multi-Step Graph Reasoning for Knowledge-Based Visual Question Answering
A Dual-Way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linking
Privacy-Preserving V2X Collaborative Perception Integrating Unknown Collaborators
RSPT: Reconstruct Surroundings and Predict Trajectory for Generalizable Active Object Tracking
Automating the Generation of Coordinated Multimedia Explanations
Multi-Modal Generative Adversarial Networks Make Realistic and Diverse but Untrustworthy Predictions When Applied to Ill-posed Problems
Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets
Bagging, Boosting, and C4.5
Distributionally Robust Optimization with Probabilistic Group
Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers
Improving Twitter Sentiment Classification Using Topic-Enriched Multi-Prototype Word Embeddings
Adaptive Proximal Average Approximation for Composite Convex Minimization
Hierarchical Skill Learning for High-Level Planning
Neural Programming Language
Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling
Table-to-Text: Describing Table Region With Natural Language
Fast Nonsmooth Regularized Risk Minimization with Continuation
OctOcc: High-Resolution 3D Occupancy Prediction with Octree
Fast Approximate Nearest Neighbor Search via k-Diverse Nearest Neighbor Graph
Learning 2D Invariant Affordance Knowledge for 3D Affordance Grounding
Assessing the Robustness of Cremer-McLean with Automated Mechanism Design
LUNA: Localizing Unfamiliarity Near Acquaintance for Open-Set Long-Tailed Recognition
Searching for Common Sense: Populating Cyc™ from the Web
An Event Reconstruction Tool for Conflict Monitoring Using Social Media
Emergent Linguistic Rules from inducing Decision Trees: Disambiguating Discourse Clue Words
Practical Federated Gradient Boosting Decision Trees
LATTE: Latent Type Modeling for Biomedical Entity Linking
Multi-View Unsupervised Column Subset Selection via Combinatorial Search (Student Abstract)
Generation of Hard Non-Clausal Random Satisfiability Problems
Balancing Lexicographic Fairness and a Utilitarian Objective with Application to Kidney Exchange
Imagination Machines: A New Challenge for Artificial Intelligence
Fractal Autoencoders for Feature Selection
Classification Driven Detection of Opportunistic Bids in TAC-SCM
Blended Planning and Acting: Preliminary Approach, Research Challenges
Bayesian Distributional Policy Gradients
Error-Aware Density Isomorphism Reconstruction for Unsupervised Cross-Domain Crowd Counting
Building Large-Scale and Corporate-Wide Case-Based Systems: Integration of the Organizational and Machine Executable Algorithms
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018
A Systematic Evaluation of Object Detection Networks for Scientific Plots
Timelines with Temporal Uncertainty
Model AI Assignments 2017
PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning
Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System
LoNe Sampler: Graph Node Embeddings by Coordinated Local Neighborhood Sampling
MegActor-Sigma: Unlocking Flexible Mixed-Modal Control in Portrait Animation with Diffusion Transformer
Leveraging Ontologies to Improve Model Generalization Automatically with Online Data Sources
Evaluating Preference-based Search Tools: A Tale of Two Approaches
On the Decidability of Role Mappings between Modular Ontologies
The Adapter-Bot: All-In-One Controllable Conversational Model
Query Answering in DL-Lite with Datatypes: A Non-Uniform Approach
Learning Adaptive Forecasting Models from Irregularly Sampled Multivariate Clinical Data
Contextualized Non-Local Neural Networks for Sequence Learning
Efficient Neutrino Oscillation Parameter Inference with Gaussian Process
Easychair as a Pedagogical Tool: Engaging Graduate Students in the Reviewing Process
Compatibility Family Learning for Item Recommendation and Generation
Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy
Corrigibility
Organizations of Self-Interested Agents
Multistrategy Learning: A Case Study
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction
Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning
Recommending Travel Packages Upon Distributed Knowledge
Zero-Shot Sketch-Based Image Retrieval via Graph Convolution Network
First-Order Convex Fitting and Its Application to Economics and Optimization