yusuke1997/dblp-id-title huggingface dataset:
"Chitty-Chitty-Chat Bot": Deep Learning for Conversational AI
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning
Possibilistic Logic, Preferential Models, Non-monotonicity and Related Issues
Bridging Causality and Learning: How Do They Benefit from Each Other?
Long-Distance Mutual Exclusion for Propositional Planning
Towards a Better Understanding of Learning with Multiagent Teams
Sampling Ex-Post Group-Fair Rankings
Planning for Weakly-Coupled Partially Observable Stochastic Games
Metric Learning for Value Alignment
Multiple Kernel Clustering Framework with Improved Kernels
Computational Aspects of Equilibria in Discrete Preference Games
A Novel Neural Network Model based on Cerebral Hemispheric Asymmetry for EEG Emotion Recognition
Equitable Mechanism Design for Facility Location
Employing Trainable String Similarity Metrics for Information Integration
Exploiting Trust Information to Cope with Malicious Entities in Multi-Agent Systems
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts
Your Tweets Reveal What You Like: Introducing Cross-media Content Information into Multi-domain Recommendation
ATSIS: Achieving the Ad hoc Teamwork by Sub-task Inference and Selection
A Speech-to-Knowledge-Graph Construction System
Learning to Hash on Partial Multi-Modal Data
A Framework for Participatory Budgeting with Resource Pooling
Optimized Execution of Action Chains Using Learned Performance Models of Abstract Actions
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019
An Empirical Study of Branching Heuristics through the Lens of Global Learning Rate
Discrete Two Player All-Pay Auction with Complete Information
Theorem Proving in Type Theory
Crowd, Expert & AI: A Human-AI Interactive Approach Towards Natural Language Explanation Based COVID-19 Misinformation Detection
Problem-solving Strategies in a Music Transcription System
Learning First-Order Logic Embeddings via Matrix Factorization
Large Systems and their Regular Expressions: An Approach to Pattern Recognition
Mechanisms for Online Organ Matching
Constraint-Based Scheduling with Complex Setup Operations: An Iterative Two-Layer Approach
Visual Programming of Web Data Aggregation Applications
Locally Linear Factorization Machines
Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data
How Can a Program Mean?
FLIP++: A Fuzzy Logic Inference Processor Library
Proceedings of the 2nd International Joint Conference on Artificial Intelligence. London, UK, September 1-3, 1971
Learning Spectral Dictionary for Local Representation of Mesh
Hypertron: Explicit Social-Temporal Hypergraph Framework for Multi-Agent Forecasting
From Words to Sentences: A Progressive Learning Approach for Zero-resource Machine Translation with Visual Pivots
Evaluating Committees for Representative Democracies: the Distortion and Beyond
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning
One-Shot Neural Architecture Search via Novelty Driven Sampling
Flexible, High Performance Convolutional Neural Networks for Image Classification
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property
Bayesian Probabilistic Multi-Topic Matrix Factorization for Rating Prediction
Vision-and-Language Pretrained Models: A Survey
Depth-bounded Discrepancy Search
Revealing Collection Structure through Information Access Interfaces
Flexible Orthogonal Neighborhood Preserving Embedding
Monitoring the Execution of Partial-Order Plans via Regression
Unsupervised Modeling of Dialog Acts in Asynchronous Conversations
Text Emotion Distribution Learning via Multi-Task Convolutional Neural Network
Learning From Multi-Dimensional Partial Labels
Aggregating Features and Matching Cases on Vague Linguistic Expressions
Quota and Gmin Merging Operators
Sampling with Minimum Sum of Squared Similarities for Nystrom-Based Large Scale Spectral Clustering
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning
Neat and Scruffy: On Computational Generation and Interpretation of Spatial Descriptions (Abstract)
Unobserved Is Not Equal to Non-existent: Using Gaussian Processes to Infer Immediate Rewards Across Contexts
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation
Neural Representation and Learning of Hierarchical 2-additive Choquet Integrals
An Approach to Analyzing the Need for Meta-Level Communication
On the Utility of Curricula in Unsupervised Learning of Probabilistic Grammars
Multi-Target Invisibly Trojaned Networks for Visual Recognition and Detection
Open Information Extraction from the Web
A Homogeneous Framework for Visual Recognition
ILP with Noise and Fixed Example Size: A Bayesian Approach
Submodularity-Inspired Data Selection for Goal-Oriented Chatbot Training Based on Sentence Embeddings
Nonmonotonic Reasoning and Multiple Belief Revision
MEGAD: A Memory-Efficient Framework for Large-Scale Attributed Graph Anomaly Detection
Rethinking the Setting of Semi-supervised Learning on Graphs
Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources
Robust and Sparse Fuzzy K-Means Clustering
RDF-to-Text Generation with Graph-augmented Structural Neural Encoders
Inducing Function Properties from Computation Traces
A³-Net: Calibration-Free Multi-View 3D Hand Reconstruction for Enhanced Musical Instrument Learning
Classification with Label Distribution Learning
Large-Scale Spectral Clustering on Graphs
Fuzzy Logic as Interfacing Technique in Hybrid AI-Systems
The Model of Human Short-term Memory
Simulation of Electron-Proton Scattering Events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN)
Coping with exceptions in multiclass ILP problems using possibilistic logic
A Framework for Neural Machine Translation by Fuzzy Analogies
Scalable Semi-Supervised SVM via Triply Stochastic Gradients
Auctions without Auctioneers: Distributed Auction Protocols
Temporal and Spatial OBDA with Many-Dimensional Halpern-Shoham Logic
Analyzing and Combating Attribute Bias for Face Restoration
Twelfth International Workshop on Agents in Traffic and Transportation co-located with the the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), Vienna, Austria, July 25, 2022
Proof Verbalization as an Application of NLG
Evaluating Abductive Hypotheses using an EM Algorithm on BDDs
MuseCL: Predicting Urban Socioeconomic Indicators via Multi-Semantic Contrastive Learning
Representation and Synthesis of Melodic Expression
Temporal Coherence and Prediction Decay in TD Learning
SecV: LLM-based Secure Verilog Generation with Clue-Guided Exploration on Hardware-CWE Knowledge Graph
On Estimating Action Regret and Learning From It in Route Choice
A Quantitative Analysis of Minimal Window Search
DeltaDou: Expert-level Doudizhu AI through Self-play
Hierarchical Model Predictive Control for Multi-Robot Navigation
Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), Stockholm, Schweden, July 13, 2018
Diversity in Kemeny Rank Aggregation: A Parameterized Approach
Automated Rule Selection for Aspect Extraction in Opinion Mining
Recognizing Abnormal Heart Sounds Using Deep Learning
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
SAT Encodings for Pseudo-Boolean Constraints Together With At-Most-One Constraints (Extended Abstract)
Near-Tight Algorithms for the Chamberlin-Courant and Thiele Voting Rules
Incentive-Compatible Diffusion Auctions
Harnessing Code Switching to Transcend the Linguistic Barrier
Viewpoint: Artificial Intelligence and Labour
RM-CVaR: Regularized Multiple β-CVaR Portfolio
Failure Handling in a Dialogue System
Boundary Detection of Textured Regions
Revealing Semantic Structures of Texts: Multi-grained Framework for Automatic Mind-map Generation
Learning Survival Distribution with Implicit Survival Function
POST: Using Probabilities in Language Processing
Self-Adaptive Double Bootstrapped DDPG
Kernel Readout for Graph Neural Networks
Partial Adversarial Behavior Deception in Security Games
SpeechHGT: A Multimodal Hypergraph Transformer for Speech-Based Early Alzheimer's Disease Detection
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
Combining Reinforcement Learning and Causal Models for Robotics Applications
Preference Identification by Interaction Overlap for Bundle Recommendation
Natural Language Decomposition and Interpretation of Complex Utterances
Pattern Linguistic Analysis Invariant for Plane Transformations
Team Programming in Golog under Partial Observability
No Time to Observe: Adaptive Influence Maximization with Partial Feedback
OCS-14 : You Can Get Occluded in Fourteen Ways
Computer Proofs of Limit Theorems
Play and Prune: Adaptive Filter Pruning for Deep Model Compression
Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation
Control of Inference: Role of Some Aspects of Discourse Structure-Centering
Robust Execution of Robot Plans Using Fuzzy Logic
A Group-based Approach to Improve Multifactorial Evolutionary Algorithm
New Algorithms for Japanese Residency Matching
Worst-Case Discriminative Feature Selection
Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training
Toward a Programming Laboratory
The Mercator Representation of Spatial Knowledge
Solving Separable Nonsmooth Problems Using Frank-Wolfe with Uniform Affine Approximations
Continual Compositional Zero-Shot Learning
The Application Of Artificial Intelligence Of Data Base Management
Apprenticeship Scheduling: Learning to Schedule from Human Experts
I-dual: Solving Constrained SSPs via Heuristic Search in the Dual Space
Using Situation Descriptions and Russellian Attitudes for Representing Beliefs and Wants
An Endorsement-based Plan Recognition Program
Environmental Labelings in Low-Level Image Understanding
Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds
Detecting and Understanding Vulnerabilities in Language Models via Mechanistic Interpretability
Multipotential Games
Dishonest Reasoning by Abduction
GenC: A Fast Tool for Applications Involving Belief Revision
Neurons Merging Layer: Towards Progressive Redundancy Reduction for Deep Supervised Hashing
Biased Opinion Dynamics: When the Devil is in the Details
HifiHead: One-Shot High Fidelity Neural Head Synthesis with 3D Control
Recent Progress in Heuristic Search: A Case Study of the Four-Peg Towers of Hanoi Problem
Knowledge Representation in the Large
Multiple Perspective Interactive Video
Automatic Multimodal Emotion Recognition Using Facial Expression, Voice, and Text
Efficient Interpretation Policies
A Deductive Approach to Program Synthesis
A New Content Based Image Retrieval Method Based on a Sketch-Driven Interpretation of Line Segments
On the Relation Between Default Theories and Autoepistemic Logic
Probabilistic Machine Learning: Models, Algorithms and a Programming Library
An Exact Algorithm for Maximum k-Plexes in Massive Graphs
Contextualized Point-of-Interest Recommendation
Execution Architectures and Compilation
Spatio-Temporal Change Detection Using Granger Sequence Pattern
Quantifying the Self-Interest Level of Markov Social Dilemmas
Which Semantics for Neighbourhood Semantics?
Towards a Complete Classification of Tractability in Allen's Algebra
Assume-Guarantee Synthesis for Prompt Linear Temporal Logic
Hypergraph Induced Convolutional Manifold Networks
"Think Before You Speak": Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs
Determining 3-D Motion of Planar Objects from Image Brightness Patterns
A Unification Algorithm for Infinite Trees
A Novel Learnable Interpolation Approach for Scale-Arbitrary Image Super-Resolution
Selective Learning of Macro-operators with Perfect Causality
Towards Incremental NER Data Augmentation via Syntactic-aware Insertion Transformer
How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context
Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning
RealDex: Towards Human-like Grasping for Robotic Dexterous Hand
Speeding up Very Fast Decision Tree with Low Computational Cost
Diffusion Models for Non-autoregressive Text Generation: A Survey
Detection of the Movements of Men for Autonomous Vehicles
Facility Location with Minimax Envy
TIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport
Case-base maintenance of a personalized insulin dose recommender system for Type 1 Diabetes Mellitus
Language Acquisition: Learning a Hierarchy of Phrases
DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives
CLR-Face: Conditional Latent Refinement for Blind Face Restoration Using Score-Based Diffusion Models
Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs
Sequential Equilibrium in Computational Games
Slogans Are Not Forever: Adapting Linguistic Expressions to the News
Private Stochastic Non-convex Optimization with Improved Utility Rates
First Results in Robot Road-Following
Semantic Extraction of Named Entities From Bank Wire Text
SL - FII: Syntactic and Lexical Constraints with Frequency based Iterative Improvement for Disease Mention Recognition in News Headlines
Connecting Low-Level Image Processing and High-Level Vision via Deep Learning
Implicit Non-linear Similarity Scoring for Recognizing Unseen Classes
Process-Oriented Planning and Average-Reward Optimality
Joint Domain Adaptive Graph Convolutional Network
Diagnosing Parkinson's Disease Using Multimodal Physiological Signals
A Bi-level Formulation for Label Noise Learning with Spectral Cluster Discovery
Approximating Fair Division on D-Claw-Free Graphs
Sometimes Updates Are Circumscription
GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension
Improving Top-N Recommendation with Heterogeneous Loss
A Unified Framework for Representation and Development of Dialectical Proof Procedures in Argumentation
Semantic-Aware Generation of Multi-View Portrait Drawings
AI Facilitated Isolations? The Impact of Recommendation-based Influence Diffusion in Human Society
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning
Learning Fair Cooperation in Mixed-Motive Games with Indirect Reciprocity
Gradient-based Causal Feature Selection
Relation-Based Counterfactual Explanations for Bayesian Network Classifiers
Learning Idioms - With and Without Explanation
Quantitative Reasoning and Structural Complexity for Claim-Centric Argumentation
Automatically Personalizing User Interfaces
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning
Exploiting Background Knowledge to Build Reference Sets for Information Extraction
Simultaneous Adversarial Multi-Robot Learning
Solving POMDPs with Continuous or Large Discrete Observation Spaces
How Hard Is It to Impact the Impact of Your Paper?
Generating Reasonable Legal Text through the Combination of Language Modeling and Question Answering
Towards Robust Perception Using Topological Invariants
A Proposal for Consensual Decision Making using Argumentation
Characteristics and Organizing Capability of Statistical Organizer
Automatic De-Biased Temporal-Relational Modeling for Stock Investment Recommendation
Data Poisoning Attack against Knowledge Graph Embedding
Security Games with Information Leakage: Modeling and Computation
A Priori Estimation of the Approximation, Optimization and Generalization Errors of Random Neural Networks for Solving Partial Differential Equations
PARTNER: A Persuasive Mental Health and Legal Counselling Dialogue System for Women and Children Crime Victims
Learning Question Paraphrases for QA from Encarta Logs
Coalitional Bargaining with Agent Type Uncertainty
Describing Natural Textures
Predictive Collaborative Filtering with Side Information
Sign Language-to-Text Dictionary with Lightweight Transformer Models
Learning Structural Decision Trees from Examples
Parameter Efficient Instruction Tuning of LLMs for Financial Applications
Structural Representation and Matching of Articulatory Speech Structures based on the Evolving Transformation System (ETS) Formalism
Integrated Anchor and Social Link Predictions across Social Networks
kLog: A Language for Logical and Relational Learning with Kernels (Extended Abstract)
Constrained Intrinsic Motivation for Reinforcement Learning
Using Entropy to Distinguish Shape Versus Text in Hand-Drawn Diagrams
Scalable Initial State Interdiction for Factored MDPs
Viewing Referring Expression Generation as Search
Understanding New Metaphors
Two Approaches to Ontology Aggregation Based on Axiom Weakening
A Functional Approach to Non-Monotonic Logic
Artificial Intelligence for Future Skies: On-going Standardization Activities to Build the Next Certification/Approval Framework for Airborne and Ground Aeronautic Products
Planning with Partial Preference Models
Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling
FedES: Federated Early-Stopping for Hindering Memorizing Heterogeneous Label Noise
Algorithms and Complexity Results for Pursuit-Evasion Problems
A Joint Optimization Framework of Sparse Coding and Discriminative Clustering
Compressed Self-Attention for Deep Metric Learning with Low-Rank Approximation
Towards Verifiable Federated Learning
Toward Automatic Debugging of Compilers
Word Sense Disambiguation through Sememe Labeling
Voronoi Random Fields: Extracting Topological Structure of Indoor Environments via Place Labeling
Proceedings of the 2nd Workshop on Machine Learning for Interactive Systems - Bridging the Gap Between Perception, Action and Communication, MLIS@IJCAI 2013, Beijing, China, August 4, 2013
SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging
Balanced News Using Constrained Bandit-based Personalization
Tag-based Weakly-supervised Hashing for Image Retrieval
Pattern Recognition by an Artificial Tactile Sense
Controlling Knowledge Deduction in a Declarative Approach
Efficient Algorithms with Performance Guarantees for the Stochastic Multiple-Choice Knapsack Problem
Outsourcing Adjudication to Strategic Jurors
CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness
TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics
Modeling Web Navigation: Methods and Challenges
Deep Learning to Attend to Risk in ICU
An Argument-Ontology for a Response-Centered Approach to Argumentation Mining
Mean Field Equilibrium in Multi-Armed Bandit Game with Continuous Reward
MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction
The Design and an Example Use of Hearsay-III
Towards a Theory of Conflict Detection and Resolution in Nonlinear Plans
Constructive Tightly Grounded Autoepistemic Reasoning
Maximizing the Coverage of Information Propagation in Social Networks
A Genetic Prototype Learner
Graph Convolutional Network Hashing for Cross-Modal Retrieval
Cross-Domain Facial Expression Recognition via Disentangling Identity Representation
Self-Supervised Learning with Attention-based Latent Signal Augmentation for Sleep Staging with Limited Labeled Data
Scaling up WA* with Commitment and Diversity
UCT for Tactical Assault Planning in Real-Time Strategy Games
Inapproximability of Treewidth and Related Problems (Extended Abstract)
Multi-Agent Epistemic Explanatory Diagnosis via Reasoning about Actions
Reinforcement Algorithms Using Functional Approximation for Generalization and their Application to Cart Centering and Fractal Compression
Can You Improve My Code? Optimizing Programs with Local Search
Driver Frustration Detection from Audio and Video in the Wild
Qualitative Decision under Uncertainty: Back to Expected Utility
Bootstrapping Domain Ontologies from Wikipedia: A Uniform Approach
Few-Shot Partial-Label Learning
Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion
A Two-Stage Method for Active Learning of Statistical Grammars
Ontology-Based Data Access with Closed Predicates is Inherently Intractable(Sometimes)
GAEN: Graph Attention Evolving Networks
Switched Linear Multi-Robot Navigation Using Hierarchical Model Predictive Control
Exploiting Position Information in Convolutional Kernels for Structural Re-parameterization
Beyond Pure Text: Summarizing Financial Reports Based on Both Textual and Tabular Data
Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering
Semi-supervised Feature Selection via Rescaled Linear Regression
Causality and Minimal Change Demystified
Violin: Virtual Overbridge Linking for Enhancing Semi-supervised Learning on Graphs with Limited Labels
Multi-Class Learning using Unlabeled Samples: Theory and Algorithm
Reconstruction of Curved-Surface Bodies from a Set of Imperfect Projections
Evolving Robust Neural Architectures to Defend from Adversarial Attacks
Efficient Local Search in Coordination Games on Graphs
Cooperation of Heterogeneous Provers
Smart augmented reality mHealth for medication adherence
A Hybrid Genetic Algorithm for Classification
Learning Unmanned Aerial Vehicle Control for Autonomous Target Following
Stackelberg vs. Nash in the Lottery Colonel Blotto Game
Conditional Constraint Satisfaction: Logical Foundations and Complexity
On Strategyproof Conference Peer Review
Towards a Structured Evaluation of Improv-bots: Improvisational Theatre as a Non-goal-driven Dialogue System
Incorporating Visual Experts to Resolve the Information Loss in Multimodal Large Language Models
An Effective and Efficient Time-aware Entity Alignment Framework via Two-aspect Three-view Label Propagation
The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning
Beyond TFIDF Weighting for Text Categorization in the Vector Space Model
A Technique for Managing the Lexicon in a Natural Language Interface to a Changing Data Base
Faster Annotation for Elevation-Guided Flood Extent Mapping by Consistency-Enhanced Active Learning
Multiple-Goal Reinforcement Learning with Modular Sarsa(0)
Combining Preference Elicitation and Search in Multiobjective State-Space Graphs
Unsupervised Vehicle Re-identification with Progressive Adaptation
Quality Control Attack Schemes in Crowdsourcing
Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering
Tensor-based multi-view label enhancement for multi-label learning
Mobile Robot Navigation by an Active Control of the Vision System
On the Structure Of An Important Class Of Exhaustive Problems And On Ways Of Search Reduction For Them
Speeding Up Exact Solutions of Interactive Dynamic Influence Diagrams Using Action Equivalence
Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training
Representations for Reasoning about Digital Circuits
What Lies beyond the Pareto Front? A Survey on Decision-Support Methods for Multi-Objective Optimization
Post-processing of Differentially Private Data: A Fairness Perspective
Vision Language Navigation with Knowledge-driven Environmental Dreamer
Solving Continual Combinatorial Selection via Deep Reinforcement Learning
Maximal Recursive Rule: A New Social Decision Scheme
Taking STEPS Forward: Enhancing Online Peer-Counseling with Schema Therapy via Socratic Questioning
Contexts for Nonmonotonic RMSes
Comparative results on using inductive logic programming for corpus-based parser construction
From Knowledge to Sign Management: A Co-design Methodology for Biodiversity and Music Enhancement
Analogy Between Concepts (Extended Abstract)
Visual Recognition from Spatial Correspondence and Perceptual Organization
Multi-Agent Abstract Argumentation Frameworks With Incomplete Knowledge of Attacks