yusuke1997/dblp-id-title huggingface dataset:
Learning Decision Lists Using Homogeneous Rules
Physarum Powered Differentiable Linear Programming Layers and Applications
Automatic OBDD-Based Generation of Universal Plans in Non-Deterministic Domains
Heuristic Search Comes of Age
SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains
Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification
Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion
Fair and Efficient Allocations under Lexicographic Preferences
Deep Modeling of Group Preferences for Group-Based Recommendation
Complementary Discrimination Learning: A Duality Between Generalization and Discrimination
Formal Verification of Tree Ensembles against Real-World Composite Geometric Perturbations
A Planner for Reasoning about Knowledge and Action
First Line of Defense: A Robust First Layer Mitigates Adversarial Attacks
LORE: Logical Location Regression Network for Table Structure Recognition
On the Power of Convolution-Augmented Transformer
Multimodal Keyless Attention Fusion for Video Classification
Approximating Optimal Labelings for Temporal Connectivity
FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning
An Approach to the Representation of Iterative Situations
Situation Calculus as Answer Set Programming
Aligning and Prompting Anything for Zero-Shot Generalized Anomaly Detection
Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems
KnowGL: Knowledge Generation and Linking from Text
A Simple and Yet Fairly Effective Defense for Graph Neural Networks
Ranking Tweets by Labeled and Collaboratively Selected Pairs with Transitive Closure
Development of Outdoor Navigation for a Robotic Wheelchair System
An Efficient Simulation-Based Approach to Ambulance Fleet Allocation and Dynamic Redeployment
Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation
Transaction Costs-Aware Portfolio Optimization via Fast Lowner-John Ellipsoid Approximation
Decision-Theoretic Planning for Intelligent User Interfaces
Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation
Improving Lives of Indebted Farmers Using Deep Learning: Predicting Agricultural Produce Prices Using Convolutional Neural Networks
Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation
An Evaluation of Approaches to Train Embeddings for Logical Inference (Student Abstract)
Delving into the Local: Dynamic Inconsistency Learning for DeepFake Video Detection
Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip Attacks
Spectral Clustering of Biological Sequence Data
Learning Adversarial Markov Decision Processes with Delayed Feedback
Deep Movement Primitives: Toward Breast Cancer Examination Robot
Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach
Plurality Voting Under Uncertainty
FG-EmoTalk: Talking Head Video Generation with Fine-Grained Controllable Facial Expressions
Differentiated Distribution Recovery for Neural Text Generation
Collaborative Topic Ranking: Leveraging Item Meta-Data for Sparsity Reduction
TipMaster: A Knowledge Base of Authoritative Local News Sources on Social Media
Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime
Personalized Adaptive Meta Learning for Cold-start User Preference Prediction
Unsupervised Feature Selection by Heuristic Search with Provable Bounds on Suboptimality
Social Tag: Finding the Person with the Pink Hat
Phragmén's Voting Methods and Justified Representation
Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks
Decomposing Temporal Equilibrium Strategy for Coordinated Distributed Multi-Agent Reinforcement Learning
Practical First-Order Argumentation
Self-Modeling Agents and Reward Generator Corruption
Plan Libraries for Plan Recognition: Do We Really Know What They Model?
Plan Understanding, Narrative Comprehension, and Story Schemas
Multiple Agents from the Bottom Up: The Interaction Lab's Robot Competition Effort
A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint)
The Semantics of Variables in Action Descriptions
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding
Mind Individual Information! Principal Graph Learning for Multimedia Recommendation
Numerical Relation Extraction with Minimal Supervision
RGB-D Salient Object Detection via 3D Convolutional Neural Networks
Introduction to the Special Track on Artificial Intelligence and COVID-19 (Abstract Reprint)
Slice-and-Pack: Tailoring Deep Models for Customized Requirements
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment
Exploring Activation Patterns of Parameters in Language Models
Some Requirements for a Computer-Based Legal Consultant
Computer Vision Research at the University of Massachusetts
Revealing the Proximate Long-Tail Distribution in Compositional Zero-Shot Learning
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes
Untangle: A New Ontology for Card Catalog Systems
The Pyramid Match: Efficient Learning with Partial Correspondences
Adversarial-Learned Loss for Domain Adaptation
Adversarial Localized Energy Network for Structured Prediction
Deep Learning from Crowds
VQTalker: Towards Multilingual Talking Avatars Through Facial Motion Tokenization
Distributed Learning with Strategic Users: A Repeated Game Approach
Plan-and-Write: Towards Better Automatic Storytelling
Automated Conversation Review to Surface Virtual Assistant Misunderstandings: Reducing Cost and Increasing Privacy
Reliability Exploration with Self-Ensemble Learning for Domain Adaptive Person Re-identification
Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback
Partial-Label Regression
Mathematical Domain Reasoning Tasks in Natural Language Tutorial Dialog on Proofs
On the ERM Principle With Networked Data
In Defense of Large Qualitative Calculi
Backforward Propagation (Student Abstract)
A Simple Yet Effective Subsequence-Enhanced Approach for Cross-Domain NER
Novel Density-Based Clustering Algorithms for Uncertain Data
SDGMNet: Statistic-Based Dynamic Gradient Modulation for Local Descriptor Learning
Complex Event Detection via Event Oriented Dictionary Learning
A Temporal Motif Mining Approach to Unsupervised Energy Disaggregation: Applications to Residential and Commercial Buildings
Asymmetric Joint Learning for Heterogeneous Face Recognition
Hierarchical Classification Based on Label Distribution Learning
Weakly Supervised Learning of Part Selection Model with Spatial Constraints for Fine-Grained Image Classification
SMIL: Multimodal Learning with Severely Missing Modality
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder
Decoupled Optimisation for Long-Tailed Visual Recognition
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming
Inferring Interpersonal Relations in Narrative Summaries
Polynomially Bounded Logic Programs with Function Symbols: A New Decidable
Adaptive Hybrid System Architecture for Forecasting
Reduce and Re-Lift: Bootstrapped Lifted Likelihood Maximization for MAP
Split Moves for Monte-Carlo Tree Search
CG-GAN: An Interactive Evolutionary GAN-Based Approach for Facial Composite Generation
Predicting Text Quality for Scientific Articles
Freebase: A Shared Database of Structured General Human Knowledge
Clustering - What Both Theoreticians and Practitioners Are Doing Wrong
Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games
Synchronization and Diversity of Solutions
Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator
A Model for Concurrent Actions Having Temporal Extent
Automatic Configuration of Sequential Planning Portfolios
Monitoring Discussion of Vaccine Adverse Events in the Media: Opportunities from the Vaccine Sentimeter
Query Rewriting for Ontology-Mediated Conditional Answers
LATTE: Improving Latex Recognition for Tables and Formulae with Iterative Refinement
Separator-Based Pruned Dynamic Programming for Steiner Tree
Predicting ICU Mortality Risk by Grouping Temporal Trends from a Multivariate Panel of Physiologic Measurements
Creating Abstractions Using Relevance Reasoning
COMM: Concentrated Margin Maximization for Robust Document-Level Relation Extraction
Partial Correlation-Based Attention for Multivariate Time Series Forecasting
Spatio-Temporal Consistency as a Means to Identify Unlabeled Objects in a Continuous Data Field
FIRM: Flexible Interactive Reflection ReMoval
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
Approximate Inference of Outcomes in Probabilistic Elections
Learning Investment Functions for Controlling the Utility of Control Knowledge
Knowledge Graph Embedding by Translating on Hyperplanes
Knowledge Inversion
A Fraud Resilient Medical Insurance Claim System
Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space
Mapping Between Semantic Representations Using Horn Clauses
What's Hot in Case-Based Reasoning
ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems
Cross-Class Feature Augmentation for Class Incremental Learning
Formulating Template Consistency in Inductive Logic Programming as a Constraint Satisfaction Problem
Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning
FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration
Nurse Scheduling using Constraint Logic Programming
Can Agent Development Affect Developer's Strategy?
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms
Moving Up the Information Food Chain: Deploying Softbots on the World Wide Web
Real-Time Evolution of Neural Networks in the NERO Video Game
On Learning High Dimensional Structured Single Index Models
Reasoning on Knowledge Graphs with Debate Dynamics
A Campus-Wide University Examination Timetabling Application
Indexing Stories as Social Advice
On the Complexity of Inductively Learning Guarded Clauses
Learning Temporal Resolution in Spectrogram for Audio Classification
Forecasting Bimanual Object Manipulation Sequences from Unimanual Observations
Diagnosis Based on Description of Structure and Function
FACS: Fast Code-based Algorithm for Coalition Structure Generation (Student Abstract)
Linear-Space Best-First Search: Summary of Results
Incremental Planning to Control a Blackboard-based Problem Solver
Data-Parallel Computing Meets STRIPS
AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture
Anytime Nonparametric A
Modeling Metacognitive and Cognitive Processes in Data Science Problem Solving (Student Abstract)
Maximum A Posteriori Inference in Sum-Product Networks
To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based Location Regression
Graph-Based Tri-Attention Network for Answer Ranking in CQA
An Innovative Genetic Algorithm for the Quantum Circuit Compilation Problem
Design Sketch for a Million-Element NETL Machine
Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework
Neural Relational Inference with Efficient Message Passing Mechanisms
Instance Selection: A Bayesian Decision Theory Perspective
Collaborative Learning across Heterogeneous Systems with Pre-Trained Models
Ghost Noise for Regularizing Deep Neural Networks
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
Problem Features that Influence the Design of Expert Systems
GO Hessian for Expectation-Based Objectives
Extracting Urban Microclimates from Electricity Bills
DiffAIL: Diffusion Adversarial Imitation Learning
AI for Equitable, Data-Driven Decisions in Public Health
Non-Axiomatic Reasoning System (Version 4.1)
Transfer Learning with Graph Co-Regularization
FriendsQA: A New Large-Scale Deep Video Understanding Dataset with Fine-grained Topic Categorization for Story Videos
LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification
Self-Progressing Robust Training
Spontaneous Retrieval from Long-Term Memory for a Cognitive Architecture
A Modular Action Description Language for Protocol Composition
Scheduling Engineering Works for the MTR Corporation in Hong Kong
Weakly Supervised Few-Shot Object Detection with DETR
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization
EMControl: Adding Conditional Control to Text-to-Image Diffusion Models via Expectation-Maximization
Editorial Comprehension in OpEd through Argument Units
Prior Gradient Mask Guided Pruning-Aware Fine-Tuning
Knowledge-Graph Augmented Word Representations for Named Entity Recognition
Using Conditional Independence for Belief Revision
Fair Enough: Improving Fairness in Budget-Constrained Decision Making Using Confidence Thresholds
Anytime Optimal Coalition Structure Generation
CUPCase: Clinically Uncommon Patient Cases and Diagnoses Dataset
Pyramid Attention Aggregation Network for Semantic Segmentation of Surgical Instruments
A Computational Account of Basic Level and Typicality Effects
Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection
Multiagent Pathfinding, Papers from the 2012 AAAI Workshop, MAPF@AAAI 2012, Toronto, Ontario, Canada, July 22, 2012
Multi-view Granular-ball Contrastive Clustering
SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings
Learning to Transfer with von Neumann Conditional Divergence
An Efficient Time Series Subsequence Pattern Mining and Prediction Framework with an Application to Respiratory Motion Prediction
Paraphrase Diversification Using Counterfactual Debiasing
The U.S. National Football League Scheduling Problem
An Indexing Vocabulary for Case-Based Explanation
VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding
Enhancing Multi-Robot Semantic Navigation Through Multimodal Chain-of-Thought Score Collaboration
Local and Global Convergence of General Burer-Monteiro Tensor Optimizations
Multi-Robot Task Allocation Using Global Games with Negative Feedback: The Colony Maintenance Problem
Approximate Solutions of Interactive Dynamic Influence Diagrams Using Model Clustering
Crowd Motion Monitoring with Thermodynamics-Inspired Feature
Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization: When Divergence Meets Consistency
Classification Spanning Private Databases
TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning
Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case
Gradient and Mangitude Based Pruning for Sparse Deep Neural Networks
CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer
QA Is the New KR: Question-Answer Pairs as Knowledge Bases
Significant Lexical Relationships
Dual Attention Network for Product Compatibility and Function Satisfiability Analysis
Rotation-Invariant Gait Identification with Quaternion Convolutional Neural Networks (Student Abstract)
A Framework for Resolving Open-World Referential Expressions in Distributed Heterogeneous Knowledge Bases
Topic Enhanced Controllable CVAE for Dialogue Generation (Student Abstract)
Low-Distortion Clustering with Ordinal and Limited Cardinal Information
Symbolic Heuristic Search for Factored Markov Decision Processes
Discriminative Semi-Supervised Dictionary Learning with Entropy Regularization for Pattern Classification
ADD: Frequency Attention and Multi-View Based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images
MetaDelta: A Meta-Learning System for Few-shot Image Classification
Beyond Spatial Domain: Cross-domain Promoted Fourier Convolution Helps Single Image Dehazing
Assumed Density Filtering Methods for Learning Bayesian Neural Networks
Prompt Tuning In a Compact Attribute Space
SalSAC: A Video Saliency Prediction Model with Shuffled Attentions and Correlation-Based ConvLSTM
Incorporating Collaborative Ranking Algorithm with Weighted Recursive Autoencoder for Item Recommendation
Locality Preserving Projection for Domain Adaptation with Multi-Objective Learning
SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series
Residual Attribute Attention Network for Face Image Super-Resolution
Elementary School Science and Math Tests as a Driver for AI: Take the Aristo Challenge!
Bayesian Policy Search for Multi-Agent Role Discovery
RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning
Evidence for Invariants in Local Search
Simultaneous Team Assignment and Behavior Recognition from Spatio-Temporal Agent Traces
LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer
Evaluating Epistemic Logic Programs via Answer Set Programming with Quantifiers
Memory-Augmented Re-Completion for 3D Semantic Scene Completion
Language-Assisted 3D Feature Learning for Semantic Scene Understanding
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior
A Framework to Coordinate Segmentation and Recognition
Modular Materialisation of Datalog Programs
No-Reference Image Quality Assessment with Reinforcement Recursive List-Wise Ranking
Never Retreat, Never Retract: Argumentation Analysis for Political Speeches
Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics
Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU Clusters
Visual Definition Modeling: Challenging Vision & Language Models to Define Words and Objects
LERMO: A Novel Web Game for AI-Enhanced Sign Language Recognition
LSTKC: Long Short-Term Knowledge Consolidation for Lifelong Person Re-identification
"How Can I Code A.I. Responsibly?": The Effect of Computational Action on K-12 Students Learning and Creating Socially Responsible A.I
Learning Implicit Tasks for Patient-Specific Risk Modeling in ICU
Building Models to Support Synthesis in Early Stage Product Design
Incentivized Exploration for Multi-Armed Bandits under Reward Drift
Neural Dynamic Focused Topic Model
The Bandit Whisperer: Communication Learning for Restless Bandits
A (1+?)-Approximation for Ultrametric Embedding in Subquadratic Time
Accelerated Diffusion via High-Low Frequency Decomposition for Pan-Sharpening
Parsing All Adverse Scenes: Severity-Aware Semantic Segmentation with Mask-Enhanced Cross-Domain Consistency
Privacy and Regression Model Preserved Learning
Nearly Equitable Allocations beyond Additivity and Monotonicity
Multi-Point Semantic Representation for Intent Classification
Towards a System Architecture Supporting Contextualized Learning
A* Search and Bound-Sensitive Heuristics for Oversubscription Planning
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs
Action Selection for MDPs: Anytime AO* Versus UCT
A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks
Predictive Exploration for Autonomous Science
Knowledge Compilation Meets Logical Separability
An Extension of Network Security Games for Large-Scale Infrastructure Protection
Online Optimal Control with Affine Constraints
Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits
Multitask Bregman Clustering
A Practical Entity Linking System for Tables in Scientific Literature
Destroy and Repair Using Hyper-Graphs for Routing
Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks
Source-Target Inference Models for Spatial Instruction Understanding
Lightweight Transformer for Multi-Modal Object Detection (Student Abstract)
Stopping Rules for Randomized Greedy Triangulation Schemes
Abstracting Complex Domains Using Modular Object-Oriented Markov Decision Processes
Addressing Digital and AI Skills Gaps in European Living Areas: A Comparative Analysis of Small and Large Communities
Multigrid Backprojection Super-Resolution and Deep Filter Visualization
Default Reasoning Using Monotonic Logic: A Modest Proposal
Alternative Essences of Intelligence
Conjunctive Width Heuristics for Maximal Constraint Satisfaction
Content Learning with Structure-Aware Writing: A Graph-Infused Dual Conditional Variational Autoencoder for Automatic Storytelling
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning
Qualitative Reasoning About Cardinal Directions Using Answer Set Programming
Guided Real Image Dehazing Using YCbCr Color Space
Point-to-Region Co-learning for Poverty Mapping at High Resolution Using Satellite Imagery
Social Recommendation Using Low-Rank Semidefinite Program
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud
HyperPlay: A Solution to General Game Playing with Imperfect Information
Cross-Domain Kernel Induction for Transfer Learning
Locally Adaptive Translation for Knowledge Graph Embedding
Dynamic Feature Pruning and Consolidation for Occluded Person Re-identification
Decision Support for Agent Populations in Uncertain and Congested Environments
Computing Stable Models by Using the ATMS
Learning Single Image Defocus Deblurring with Misaligned Training Pairs
Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
Iterative Classroom Teaching
Artemis: Integrating Scientific Data on the Grid
Robust System for Identifying Procurement Fraud
Grounded Action Transformation for Robot Learning in Simulation
An Extended GHKM Algorithm for Inducing Lambda-SCFG
Pragmatic Question Answering: Generic versus Specific Responses
Chinese Overt Pronoun Resolution: A Bilingual Approach
Segmenting Medical MRI via Recurrent Decoding Cell
Panoptic Scene Graph Generation with Semantics-Prototype Learning
NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction
Differentiable Information Enhanced Model-Based Reinforcement Learning
Modeling the Effects of Emotion on Cognition
Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems
Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy
Kepler Light Curve Classification Using Deep Learning and Markov Transition Field (Student Abstract)
Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey
Dynamic Programming for Partially Observable Stochastic Games
Tableau-Based Theorem Proving In Normal Conditional Logics
GaussianSR: High Fidelity 2D Gaussian Splatting for Arbitrary-Scale Image Super-Resolution
A Knowledge Representation Framework Based on Autoepistemic Logic of Minimal Beliefs
Online Learning for Structured Loss Spaces
Active Inference for Collective Classification
Robustness Verification of Multi-Class Tree Ensembles
CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness
An Unsupervised Model With Attention Autoencoders for Question Retrieval
Using Answer Set Programming and Lambda Calculus to Characterize Natural Language Sentences with Normatives and Exceptions
A Robust Bayesian Truth Serum for Small Populations
Reasoning about Bargaining Situations
Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval
Entity Only vs. Inline Approaches: Evaluating LLMs for Adverse Drug Event Detection in Clinical Text (Student Abstract)
Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
Modular Robot Design Synthesis with Deep Reinforcement Learning
Bagging by Design (on the Suboptimality of Bagging)
Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring
Event2Tracking: Reconstructing Multi-Agent Soccer Trajectories Using Long-Term Multimodal Context