yusuke1997/dblp-id-title huggingface dataset:
Model-based Diagnosis in the Real World: Lessons Learned and Challenges Remaining
Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback
Multi-scale Two-way Deep Neural Network for Stock Trend Prediction
Recommender Systems for Democracy: Toward Adversarial Robustness in Voting Advice Applications
Dual Self-Paced Graph Convolutional Network: Towards Reducing Attribute Distortions Induced by Topology
Heuristic Search for Approximating One Matrix in Terms of Another Matrix
Stable Matchings with Diversity Constraints: Affirmative Action is beyond NP
PRISM: A Language for Symbolic-Statistical Modeling
Improving Reinforcement Learning with Confidence-Based Demonstrations
An Evaluation of DRete on CUPlD for OPSS Matching
Interactive Attention Networks for Aspect-Level Sentiment Classification
Information Bottleneck Approach to Spatial Attention Learning
Automatic Video Interpretation: A Novel Algorithm for Temporal Scenario Recognition
GELU-Net: A Globally Encrypted, Locally Unencrypted Deep Neural Network for Privacy-Preserved Learning
Recognition-Based Diagnostic Reasoning
IRV: Learning to Integrate Visual Information Across Camera Movements
Evaluation of Project Performance in Participatory Budgeting
A Reduction based Method for Coloring Very Large Graphs
Learning Pollution Maps from Mobile Phone Images
Inference for a New Probabilistic Constraint Logic
A New Search Engine Integrating Hierarchical Browsing and Keyword Search
Knowledge Considerations in Robotics and Distribution of Robotic Tasks
Artificial Neural Network for Sequence Learning
Outlier-Robust Multi-Aspect Streaming Tensor Completion and Factorization
Early Detection of Patient Deterioration from Real-Time Wearable Monitoring System
A General Approach to Running Time Analysis of Multi-objective Evolutionary Algorithms
Automated Reasoning to Infer all Minimal Keys
The Impact of Big Data on Smart City Concepts
Declarative Programming of Search Problems with Built-in Arithmetic
A Technique for Customizing Object-Oriented Knowledge Representation Systems, With An Application to Network Problem Management
Self-Organization and Segmentation with Laterally Connected Spiking Neurons
Dynamic Auctions with Bank Accounts
Integrating Learning into a BDI Agent for Environments with Changing Dynamics
DRPose3D: Depth Ranking in 3D Human Pose Estimation
MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation
Multi-Channel Pooling Graph Neural Networks
Adaptive Language-Aware Image Reflection Removal Network
Convolutional Neural Networks for Text Hashing
Experience with the Evaluation of Natural Language Question Answerers
Fast (Incremental) Algorithms for Useful Classes of Simple Temporal Problems with Preferences
BaKer-Nets: Bayesian Random Kernel Mapping Networks
Depth-Driven Circuit-Level Stochastic Local Search for SAT
Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract)
Metric Distortion with Elicited Pairwise Comparisons
Coalitions in Action Logic
Adversarial Attacks on Neural Networks for Graph Data
Hierarchical Adaptive Temporal-Relational Modeling for Stock Trend Prediction
Dialogue Actions for Natural Language Interfaces
Robust Finite-Memory Policy Gradients for Hidden-Model POMDPs
Two-Level Model for Morphological Analysis
Exploration and Adaptation in Multiagent Systems: A Model-based Approach
Pluggable Watermarking of Deepfake Models for Deepfake Detection
Description of Textures by a Structural Analysis
Online Learning of Partitions in Additively Separable Hedonic Games
Learning University Mathematics
Comprehensive Semi-Supervised Multi-Modal Learning
Physics Problem Solving: ISAAC-II
Learning Phonetic Features Using Connectionist Networks
Unifying Core-Guided and Implicit Hitting Set Based Optimization
Program Understanding with the Lambda Calculus
A Study of Forward Versus Backwards Endgame Solvers with Results in Chinese Checkers
Large Linear Classification When Data Cannot Fit in Memory
A Speech-driven Sign Language Avatar Animation System for Hearing Impaired Applications
Fully Proportional Representation as Resource Allocation: Approximability Results
Cooperation and Control in Delegation Games
Generalized Discriminative Deep Non-Negative Matrix Factorization Based on Latent Feature and Basis Learning
An Evolution Strategy with Progressive Episode Lengths for Playing Games
Parameter Networks: Towards a Theory of Low-Level Vision
Computational Disaster Management
Urban Traffic Control Assisted by AI Planning and Relational Learning
RepObE: Representation Learning-Enhanced Obfuscation Encryption Modular Semantic Task Framework
Monitoring Vegetation From Space at Extremely Fine Resolutions via Coarsely-Supervised Smooth U-Net
Speaker-Invariant Features for Automatic Speech Recognition
Temporal Sequences of Qualitative Information: Reasoning about the Topology of Constant-Size Moving Regions
Pragmatics In Speech Understanding
Personality-Aware Personalized Emotion Recognition from Physiological Signals
Two-phase Query Modification using Semantic Relations based on Ontologies
Reflection and Action Under Scarce Resources: Theoretical Principles and Empirical Study
The Backbone of the Travelling Salesperson
Explain It as Simple as Possible, but No Simpler - Explanation via Model Simplification for Addressing Inferential Gap (Abstract Reprint)
Causal Discovery with Cascade Nonlinear Additive Noise Model
Developmental robotics at Aldebaran A-Lab
Belief State Estimation for Planning via Approximate Logical Filtering and Smoothing
Dynamic Configuration of Agent Organizations
Customer Sharing in Economic Networks with Costs
On the Investigation of Similarity Measures for Product Resolution
Medusa: Towards Simulating a Multi-Agent Hide-and-Seek Game
Recurrent Concept Drifts on Data Streams
A Comprehensive Approach to On-Board Autonomy Verification and Validation
An English-Like Language For Qualitative Scientific Knowledge
GPI-Net: Gestalt-Guided Parallel Interaction Network via Orthogonal Geometric Consistency for Robust Point Cloud Registration
On the Complexity of Trick-Taking Card Games
Factored A * Search for Models over Sequences and Trees
Representation of Temporal Knowledge
Supervised Algorithmic Fairness in Distribution Shifts: A Survey
Expressing Musical Ideas with Constraint Programming Using a Model of Tonal Harmony
MSCI: Addressing CLIP's Inherent Limitations for Compositional Zero-Shot Learning
M2Beats: When Motion Meets Beats in Short-form Videos
Graph-Free Knowledge Distillation for Graph Neural Networks
Model Representations and Control Structures in Image Understanding
Saliency Detection with a Deeper Investigation of Light Field
Cross-community Adapter Learning (CAL) to Understand the Evolving Meanings of Norm Violation
InterActive Feature Selection
Self-Organization of Symbolic Processes through Interaction with the Physical World
Policy Space Response Oracles: A Survey
Residential Short-Term Load Forecasting via Meta Learning and Domain Augmentation
Dual-Agent Reinforcement Learning for Automated Feature Generation
A Survey on Neural Question Generation: Methods, Applications, and Prospects
Shortfall and Density Scoring Strategies for Speech Understanding Control
Computer-Aided Game Design: Doctoral Consortium Research Abstract
Efficient Differentiable Approximation of Generalized Low-rank Regularization
Stochastic Inversion Transduction Grammars, with Application to Segmentation, Bracketing, and Alignment of Parallel Corpora
Multi-Document Summarization by Maximizing Informative Content-Words
Enhancing Mixture of Experts with Independent and Collaborative Learning for Long-Tail Visual Recognition
Coordination to Avoid Starvation of Bottleneck Agents in a Large Network System
PACE: Predictive and Contrastive Embedding for Unsupervised Action Segmentation
Constraint Acquisition with Recommendation Queries
Interactive Teaching Strategies for Agent Training
3E-Solver: An Effortless, Easy-to-Update, and End-to-End Solver with Semi-Supervised Learning for Breaking Text-Based Captchas
Imperfect-Recall Games: Equilibrium Concepts and Their Complexity
An Efficient Algorithm for Surface Generation
TCCNet: Temporally Consistent Context-Free Network for Semi-supervised Video Polyp Segmentation
Experiments with a Natural Language Problem-Solving System
Fuzzy Morphology and Fuzzy Distances: New Definitions and Links in both Euclidean and Geodesic Cases
vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement
BRIBIP: A Bridge Bidding Program
Learning to Rap Battle with Bilingual Recursive Neural Networks
Genetic Prompt Search via Exploiting Language Model Probabilities
How to Progress a Database II: The STRIPS Connection
A Semantics for Probabilistic Quantifier-Free First-Order Languages, with Particular Application to Story Understanding
ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation
Intonation and the Intentional Structure of Discourse
Applying Strategic Reasoning for Accountability Ascription in Multiagent Teams
Bridge to Non-Barrier Communication: Gloss-Prompted Fine-Grained Cued Speech Gesture Generation with Diffusion Model
RAW-GNN: RAndom Walk Aggregation based Graph Neural Network
Theoretical Analysis of Davis-Putnam Procedure and Propositional Satisfiability
Perceptual Texture Space Improves Perceptual Consistency of Computational Features
Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extraction with Rich Syntactic Knowledge
Poisoning the Well: Can We Simultaneously Attack a Group of Learning Agents?
Deep Learning for Click-Through Rate Estimation
Linear Combinatorial Semi-Bandit with Causally Related Rewards
Local Differential Privacy Meets Computational Social Choice - Resilience under Voter Deletion
Automatic Translation of Music-to-Dance for In-Game Characters
ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image Segmentation
Self-supervised Network Evolution for Few-shot Classification
Scaling-up Security Games with Boundedly Rational Adversaries: A Cutting-plane Approach
Spectral Embedded Clustering
Dealing with Dependencies between Content Planning and Surface Realisation in a Pipeline Generation Architecture
Increasing Tree Search Efficiency for Constraint Satisfaction Problems
Non-Invasive Brain-Actuated Control of a Mobile Robot
Federated Learning with GAN-Based Data Synthesis for Non-IID Clients
Constructing New and Better Evaluation Measures for Machine Learning
Intention Progression under Uncertainty
Conditional Generative Adversarial Networks for Commonsense Machine Comprehension
Exploiting Local and Global Social Context for Recommendation
The Expected-Length Model of Options
A Novel Spatio-Temporal Multi-Task Approach for the Prediction of Diabetes-Related Complication: a Cardiopathy Case of Study
Answer Generation through Unified Memories over Multiple Passages
Bootstrap Learning via Modular Concept Discovery
Community-Centric Graph Convolutional Network for Unsupervised Community Detection
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces
Automatic Gating of Attributes in Deep Structure
Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation
Hierarchical Finite State Controllers for Generalized Planning
Concept Formation over Explanations and Problem-Solving Experience
Inside Out: Emotional Multiagent Multimodal Dialogue Systems
A Dichotomy Theorem on the Existence of Efficient or Neutral Sequential Voting Correspondences
Literal-Based MCS Extraction
Tractable Queries for Lightweight Description Logics
Towards Sharper Risk Bounds for Minimax Problems
A Model for Collective Strategy Diffusion in Agent Social Law Evolution
A Machine Learning Approach to Identification and Resolution of One-Anaphora
An Analysis of Approximate Knowledge Compilation
Robot Control Strategy
Shifted Subspaces Tracking on Sparse Outlier for Motion Segmentation
Gaussian Mixture Model for Graph Domain Adaptation
The Philosophy of Automated Theorem Proving
Large Decision Models
Efficient Consequence Finding
Symbol Acquisition for Probabilistic High-Level Planning
Anytime Focal Search with Applications
Densely Cascaded Shadow Detection Network via Deeply Supervised Parallel Fusion
Effects of Parallelism on Blackboard System Scheduling
Reasoning with Probabilistic Ontologies
Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer
AgeFlow: Conditional Age Progression and Regression with Normalizing Flows
Skimming Newspaper Stories by Computer
Large Language Models for Human-AI Co-Creation of Robotic Dance Performances
How to Select One Preferred Assertional-Based Repair from Inconsistent and Prioritized DL-Lite Knowledge Bases?
Computing Optimal Mixed Strategies for Security Games with Dynamic Payoffs
An Intelligent and Unified Framework for Multiple Robot and Human Coalition Formation
Lifted Aggregation in Directed First-Order Probabilistic Models
Lifelong Multi-view Spectral Clustering
Do You Remember the Future? Weak-to-Strong Generalization in 3D Object Detection
Upper Confidence Weighted Learning for Efficient Exploration in Multiclass Prediction with Binary Feedback
Democratizing mobile app development for disaster management
Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior
Temporal Planning in Domains with Linear Processes
Goal Ordering in Partially Ordered Plans
Composing and Verifying Commitment-Based Multiagent Protocols
FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts
Supremal Realizability of Behaviors with Uncontrollable Exogenous Events
A SAT-Based Approach for Mining Association Rules
Church-Rosser Properties of Weakly Terminating Term Rewriting Systems
Proceedings of the 16th Workshop on Computational Models of Natural Argument co-located with IJCAI 2016, New York, USA, July 9th, 2016
Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach
Flexibly Exploiting Prior Knowledge in Empirical Learning
Efficient Algorithms and Performance Results for Multi-User Knowledge Bases
Utilizing Class Separation Distance for the Evaluation of Corruption Robustness of Machine Learning Classifiers
Unlearning from Weakly Supervised Learning
Explaining Answer-Set Programs with Abstract Constraint Atoms
Exchangeability and Kernel Invariance in Trained MLPs
Influence in Classification via Cooperative Game Theory
A Synthetic Approach for Recommendation: Combining Ratings, Social Relations, and Reviews
The Complexity of Quantified Constraint Satisfaction Problems under Structural Restrictions
Learning Ontologies from RDF annotations
Dual-Phase Models for Extracting Information and Symbolic Reasoning: A Case-Study in Spatial Reasoning
Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection
PDENNEval: A Comprehensive Evaluation of Neural Network Methods for Solving PDEs
Discovering Time Differential Law Equations Containing Hidden State Variables and Chaotic Dynamics
Knowledge Base Completion Using Embeddings and Rules
The Role of Usability Engineering in the Development of an Intelligent Decision Support System
T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
Fine-grained Prompt Screening: Defending Against Backdoor Attack on Text-to-Image Diffusion Models
Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences
Speech Recognition Using RFID Tattoos (Extended Abstract)
Finding Optimal Solutions in HTN Planning - A SAT-based Approach
Robust Auto-Weighted Multi-View Clustering
CR-GAN: Learning Complete Representations for Multi-view Generation
On Discovering Interesting Combinatorial Integer Sequences
Stochasticity-aware No-Reference Point Cloud Quality Assessment
Learning to Give Feedback: Modeling Attributes Affecting Argument Persuasiveness in Student Essays
FairGT: A Fairness-aware Graph Transformer
PiShield: A PyTorch Package for Learning with Requirements
Introspection and Adaptable Model Integration for Dialogue-based Question Answering
Decidability of SHIQ with Complex Role Inclusion Axioms
Representation of Actions That Have Side-Effects
User-Centric Democratization towards Social Value Aligned Medical AI Services
Domain Adaptation via Maximizing Surrogate Mutual Information
Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness
COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement
A Combination of Clausal and Non Clausal Temporal Logic Programs
Natural Semantics in Artificial Intelligence
Efficient Regularization Parameter Selection for Latent Variable Graphical Models via Bi-Level Optimization
Decentralized Adaptive Clustering of Deep Nets is Beneficial for Client Collaboration
Optimal Refutations for Constraint Satisfaction Problems
Medical Concept Embedding with Multiple Ontological Representations
Dynamic Control Of Plans With Temporal Uncertainty
Rule-Guided Reinforcement Learning Policy Evaluation and Improvement
NeuBM: Mitigating Model Bias in Graph Neural Networks Through Neutral Input Calibration
Detecting Influencial Users in Social Networks: Analysing Graph-Based and Linguistic Perspectives
Lisp-in-Lisp: High Performance and Portability
Privacy-Preserving Intersection Management for Autonomous Vehicles
Learning When to Advise Human Decision Makers
Probabilistic Rank-One Matrix Analysis with Concurrent Regularization
Oblivious and Semi-Oblivious Boundedness for Existential Rules
Preferred Subtheories: An Extended Logical Framework for Default Reasoning
A Flat Histogram Method for Computing the Density of States of Combinatorial Problems
"Tall", "Good", "High" - Compared to What?
Grounding Abstract Spatial Concepts for Language Interaction with Robots
A Transformer-Based Adaptive Prototype Matching Network for Few-Shot Semantic Segmentation
Earliest-Completion Scheduling of Contract Algorithms with End Guarantees
A Web-Based Compositional Modeling System for Sharing of Physical Knowledge
The Mixing of Markov Chains on Linear Extensions in Practice
Declaration-based Prompt Tuning for Visual Question Answering
Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation
Exploiting Informative Priors for Bayesian Classification and Regression Trees
Switching Hypothesized Measurements: A Dynamic Model with Applications to Occlusion Adaptive Joint Tracking
ReportParse: A Unified NLP Tool for Extracting Document Structure and Semantics of Corporate Sustainability Reporting
Diversification of Adaptive Policy for Effective Offline Reinforcement Learning
Efficient Pruning of Large Knowledge Graphs
GM-MLIC: Graph Matching based Multi-Label Image Classification
Improvement of Marko's Model Toward the Inter-Locutional Communication Theory
Correcting Covariate Shift with the Frank-Wolfe Algorithm
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks
Using Ontologies and the Web to Learn Lexical Semantics
On the Utility of Prediction Sets in Human-AI Teams
Predicting ICU Mortality from Heterogeneous Clinical Events with Prior Medical Knowledge
DELF: A Dual-Embedding based Deep Latent Factor Model for Recommendation
Stability and Generalization for Stochastic (Compositional) Optimizations
Enhancing Cross-modal Completion and Alignment for Unsupervised Incomplete Text-to-Image Person Retrieval
Collaborative Filtering with Generalized Laplacian Constraint via Overlapping Decomposition
Cascaded SR-GAN for Scale-Adaptive Low Resolution Person Re-identification
Discriminative Log-Euclidean Feature Learning for Sparse Representation-Based Recognition of Faces from Videos
Robust Multi-view Representation: A Unified Perspective from Multi-view Learning to Domain Adaption
Implementation of Learning-Based Dynamic Demand Response on a Campus Micro-Grid
Automated Enhancement of Knowledge Representations
AI for Planning Public Health Interventions
Multi-View Robust Graph Representation Learning for Graph Classification
Feature Dense Relevance Network for Single Image Dehazing
The Intricacies of Three-Valued Extensional Semantics for Higher-Order Logic Programs
EDyGS: Event Enhanced Dynamic 3D Radiance Fields from Blurry Monocular Video
Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks
Refinement Strategies for Inductive Leaming of Simple Prolog Programs
Credit Assignment and Fine-Tuning Enhanced Reinforcement Learning for Collaborative Spatial Crowdsourcing
Using Graph Algebra to Optimize Neighborhood for Isometric Mapping
A Similarity Measurement Method Based on Graph Kernel for Disconnected Graphs
KRAKEN: A Novel Semantic-Based Approach for Keyphrases Extraction
Deep Learning for Video Captioning: A Review
Nash Equilibria and Their Elimination in Resource Games
Aggregate Functions in Disjunctive Logic Programming: Semantics, Complexity, and Implementation in DLV
Computational Complexity of Multi-way, Dataflow Constraint Problems
The Use of Knowledge Preconditions in Language Processing
Human Brain and Artificial Intelligence - Second International Workshop, HBAI 2020, Held in Conjunction with IJCAI-PRICAI 2020, Yokohama, Japan, January 7, 2021, Revised Selected Papers
View-Association-Guided Dynamic Multi-View Classification
Enabling Abductive Learning to Exploit Knowledge Graph
Thou Shalt ASQFor and Shalt Receive the Semantic Answer
Theoretical Study and Empirical Investigation of Sentence Analogies
Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations
Audit Games
Optimizing source-call ordering in Information Gathering Plans
Visual Mapping by a Robot Rover
Active Learning for Teaching a Robot Grounded Relational Symbols
Analysis of Patient Domestic Activity in Recovery From Hip or Knee RePlacement Surgery: Modelling Wrist-worn Wearable RSSI and Accelerometer Data in The Wild
Locally Normalized Soft Contrastive Clustering for Compact Clusters
MGCBS: An Optimal and Efficient Algorithm for Solving Multi-Goal Multi-Agent Path Finding Problem
A New Conceptually Attractive and Computationally Effective Approach to Shape From Shading
Optimal Policy Generation for Partially Satisfiable Co-Safe LTL Specifications
The Complexity of Playing Durak
Probabilistic Inference Based Message-Passing for Resource Constrained DCOPs
Self-Adaptive Hierarchical Sentence Model
Incremental Diagnosis of Discrete-Event Systems
ALLEGRO: Belief-Based Programming in Stochastic Dynamical Domains
Towards a New Generation of Cognitive Diagnosis
Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks
Grid-based SensorDCSP
Deep Multi-Task Learning with Adversarial-and-Cooperative Nets
Feature-level Deeper Self-Attention Network for Sequential Recommendation
A Two-Stage Matheuristic Algorithm for Classical Inventory Routing Problem
An Admissible Heuristic for SAS+ Planning Obtained from the State Equation
Complete Instances Mining for Weakly Supervised Instance Segmentation
Sequential Optimality and Coordination in Multiagent Systems
Finding Justifications by Approximating Core for Large-scale Ontologies
r-grams: Relational Grams
Human Control of Remote Computer-Manipulators
Learning to Select Knowledge for Response Generation in Dialog Systems
A Fuzzy Modal Logic for Belief Functions
Stochastic Probing with Increasing Precision
Convexity of b-matching Games
Delayed Interpretation Using Processing Notes
A Measure of Closeness of Weak Implication to Strict Implication
Predicting Strategic Behavior from Free Text (Extended Abstract)
Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base
Finite Local Consistency Characterizes Generalized Scoring Rules
Machine Learning Analysis of Pedestrians' Hazard Anticipation from Eye Tracking Data
Agents Habitats and Routine Behavior
Space Defragmentation Heuristic for 2D and 3D Bin Packing Problems
Logit Mixing Training for More Reliable and Accurate Prediction
Smart Contracts for Trustless Sampling of Correlated Equilibria
A Predictive Approach to Help-Desk Response Generation
On the Role of Memory in Robust Opinion Dynamics