yusuke1997/dblp-id-title huggingface dataset:
Novel Class Discovery for Representation of Real-World Heritage Data as Neural Radiance Fields (Student Abstract)
CLIP-Gaze: Towards General Gaze Estimation via Visual-Linguistic Model
Unsupervised Feature Learning for 3D Scene Reconstruction with Occupancy Maps
Interactive Mars Image Content-Based Search with Interpretable Machine Learning
Going Deep: Graph Convolutional Ladder-Shape Networks
Open-World Knowledge Graph Completion
Human and Computer Preferences at Chess
Qualitative Multiple-Fault Diagnosis of Continuous Dynamic Systems Using Behavioral Modes
An Efficient Algorithm for Local Distance Metric Learning
Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks
Deciding Unsolvability in Temporal Planning under Action Non-Self-Overlapping
On the Role of Weight Sharing During Deep Option Learning
Representation and Evolution of Lego-Based Assemblies
A Grammar-Based Structural CNN Decoder for Code Generation
Transposition Tables for Constraint Satisfaction
Discriminative Vanishing Component Analysis
NAAM: Node-Aware Attention Mechanism for Distilling GNNs-to-MLP (Student Abstract)
MBGRLp: Multiscale Bootstrap Graph Representation Learning on Pointcloud (Student Abstract)
Heuristic Planning for PDDL+ Domains
Mean Field Inference in Dependency Networks: An Empirical Study
Improving Full-Body Pose Estimation from a Small Sensor Set Using Artificial Neural Networks and a Kalman Filter
T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration
Artificial Swarm Intelligence, a Human-in-the-Loop Approach to A.I
KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy
STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation
ARGOT: The Rochester Dialogue System
GraLSP: Graph Neural Networks with Local Structural Patterns
The (Exact) Price of Cardinality for Indivisible Goods: A Parametric Perspective
Structure Regularized Unsupervised Discriminant Feature Analysis
Classification with Few Tests through Self-Selection
Lifting Preferences over Alternatives to Preferences over Sets of Alternatives: The Complexity of Recognizing Desirable Families of Sets
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization
Testing the Channels of Convolutional Neural Networks
FATE: Feature-Adapted Parameter Tuning for Vision-Language Models
Multidimensional Scaling on Multiple Input Distance Matrices
Interpretable Neural Subgraph Matching for Graph Retrieval
REFINE: Prediction Fusion Network for Panoptic Segmentation
Inverse Reinforcement Learning by Estimating Expertise of Demonstrators
Discriminative Semi-Supervised Feature Selection via Rescaled Least Squares Regression-Supplement
Discover Multiple Novel Labels in Multi-Instance Multi-Label Learning
Robust Textual Inference Via Learning and Abductive Reasoning
Improving Performance of Analogue Readout Layers for Photonic Reservoir Computers with Online Learning
Guiding CDCL SAT Search via Random Exploration amid Conflict Depression
Narrowing the Gap Between Saturated and Optimal Cost Partitioning for Classical Planning
Multiset Feature Learning for Highly Imbalanced Data Classification
Relevant Intrinsic Feature Enhancement Network for Few-Shot Semantic Segmentation
LLMs in the Classroom: Outcomes and Perceptions of Questions Written with the Aid of AI
The Breakout Method for Escaping from Local Minima
Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection
Model Minimization in Markov Decision Processes
FlexBot, Groo, Patton and Hamlet: Research Using Computer Games as a Platform
TopoGCL: Topological Graph Contrastive Learning
DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding
Design of a Mechanism for Promoting Honesty in E-Marketplaces
Preventing Infectious Disease in Dynamic Populations Under Uncertainty
Circumventing Robots' Failures by Embracing Their Faults: A Practical Approach to Planning for Autonomous Construction
Web Personalization and Cohort Information Services for Natural Resource Managers
Hand Grip Pattern Recognition for Mobile User Interfaces
Optimal Dynamic Auctions Are Virtual Welfare Maximizers
An Interface for Visualization and Exploration of Spatial Distributions
Challenges in Materials Discovery - Synthetic Generator and Real Datasets
Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback
Grape Cold Hardiness Prediction via Multi-Task Learning
Medical MLLM Is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Models
Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent
Conceptualizing Curse of Dimensionality with Parallel Coordinates
Relational Knowledge Transfer for Zero-Shot Learning
OAR: A Formal Framework for Multi-Agent Negotiation
SRFormer: Text Detection Transformer with Incorporated Segmentation and Regression
Computing General First-Order Parallel and Prioritized Circumscription
ScholarGEC: Enhancing Controllability of Large Language Model for Chinese Academic Grammatical Error Correction
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games
Toward a New Science of Common Sense
Foundations of Cooperative AI
Symbolic Music Generation with Transformer-GANs
Analogical Generalization of Linguistic Constructions
Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning
Integrating Planning, Execution and Monitoring
Influence-Based Abstraction for Multiagent Systems
Visual Listening In: Extracting Brand Image Portrayed on Social Media
FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting
Counting and Reasoning with Plans
On Dataless Hierarchical Text Classification
Hierarchical Multiple Kernel Clustering
Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis
AnyTalk: Multi-modal Driven Multi-domain Talking Head Generation
It Takes Two to Empathize: One to Seek and One to Provide
HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks
Exploring Mixed-Initiative Interaction for Learning with Situated Instruction in Cognitive Agents
Robust and Adaptive AI Models for Medication Usage Forecasting Using ICD-9/10 Code (Student Abstract)
Causal Theories for Nonmonotonic Reasoning
Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context
M^3EL: A Multi-task Multi-topic Dataset for Multi-modal Entity Linking
EMEF: Ensemble Multi-Exposure Image Fusion
AI-Based Energy Transportation Safety: Pipeline Radial Threat Estimation Using Intelligent Sensing System
Adaptive Draft-Verification for Efficient Large Language Model Decoding
Dynamically Switching between Synergistic Workflows for Crowdsourcing
Unsupervised Domain Adaptation With Distribution Matching Machines
Encoding Multi-Valued Decision Diagram Constraints as Binary Constraint Trees
Learning Adaptive Random Features
The Complexity of Computing Maximin Share Allocations on Graphs
Polynomial-Time Probabilistic Reasoning with Partial Observations via Implicit Learning in Probability Logics
Optimal Tensor Transport
Rates for Inductive Learning of Compositional Models
The Generalization and Robustness of Transformer-Based Language Models on Commonsense Reasoning
Innovative Design as Systematic Search
Semantic Data Representation for Improving Tensor Factorization
Lazy Approximation for Solving Continuous Finite-Horizon MDPs
Control Argumentation Frameworks
Online Pandora's Boxes and Bandits
Improved Neural Machine Translation with SMT Features
Case-Method: A Methodology for Building Large-Scale Case-Based Systems
Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners
AugRefer: Advancing 3D Visual Grounding via Cross-Modal Augmentation and Spatial Relation-based Referring
Sentient Ascend: AI-Based Massively Multivariate Conversion Rate Optimization
Chatti: A Conversational Chatbot Platform
From Raw Video to Pedagogical Insights: A Unified Framework for Student Behavior Analysis
Pay to (Not) Play: Monetizing Impatience in Mobile Games
Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation
Intriguing Findings of Frequency Selection for Image Deblurring
IPVTON: Image-based 3D Virtual Try-on with Image Prompt Adapter
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications
Physics-Informed Graph Neural Networks for Water Distribution Systems
Euclidean Heuristic Optimization
Design Amortization for Bayesian Optimal Experimental Design
Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects
Adaptive Sample Selection for Hypothesis Falsification
Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance
Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering
Latent Variable Model for Learning in Pairwise Markov Networks
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval
Selecting Near-Optimal Learners via Incremental Data Allocation
Anytime Recursive Best-First Search for Bounding Marginal MAP
Strong Temporal Planning with Uncontrollable Durations: A State-Space Approach
Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts
Pre-trained Online Contrastive Learning for Insurance Fraud Detection
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
A Model of Two-Player Evaluation Functions
Information Needed to Label a Scene
A Temporal Proof System for General Game Playing
Dynamic Graph Representation for Occlusion Handling in Biometrics
Towards an Ontological Framework for Environmental Survey Hazard Analysis of Autonomous Systems
Learning Abduction Using Partial Observability
Pervasive Diagnosis: The Integration of Diagnostic Goals into Production Plans
Faster and Better Simple Temporal Problems
TIME: Text and Image Mutual-Translation Adversarial Networks
Landmark-Based Heuristics for Goal Recognition
The ContactFinder Agent: Answering Bulletin Board Questions with Referrals
Biased Games
Independence Detection for Multi-Agent Pathfinding Problems
Real-Tme Heuristic Search: New Results
Entrainment2Vec: Embedding Entrainment for Multi-Party Dialogues
Training Matting Models Without Alpha Labels
Task-Free Dynamic Sparse Vision Transformer for Continual Learning
Towards a Brain Inspired Model of Self-Awareness for Sociable Agents
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving
Extreme Gradient Boosting and Behavioral Biometrics
Designing Scripts to Guide Users in Modifying Knowledge-based Systems
Does GPT Really Get It? A Hierarchical Scale to Quantify Human and AI's Understanding of Algorithms
Uncertainty-Aware Image Captioning
Identifying Important Nodes in Heterogenous Networks
PDRF: Progressively Deblurring Radiance Field for Fast Scene Reconstruction from Blurry Images
Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains
3D Face Synthesis Driven by Personality Impression
Instance-Adaptive Graph for EEG Emotion Recognition
Multi-Unit Auction in Social Networks with Budgets
Predicting and Adapting to Poor Speech Recognition in a Spoken Dialogue System
Assignment and Pricing in Roommate Market
Deterministic and Bottom-Up Parsing in Prolog
Novel Relationship Discovery Using Opinions Mined from the Web
TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients
Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification
Knowledge Enhanced Hybrid Neural Network for Text Matching
Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs - a Graph Sequential Embedding Method
Local Computation of Shape
Embedding a Long Short-Term Memory Network in a Constraint Programming Framework for Tomato Greenhouse Optimisation
State-Conditioned Adversarial Subgoal Generation
DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation
Learning Problem Classes by Means of Experimentation and Generalization
Human-Robot Interaction in Elder Care, Papers from the 2011 AAAI Workshop, San Francisco, California, USA, August 8, 2011
Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting
A Riemannian Network for SPD Matrix Learning
Goal-Directed Site-Independent Recommendations from Passive Observations
Encoding Human Domain Knowledge to Warm Start Reinforcement Learning
ADDMC: Weighted Model Counting with Algebraic Decision Diagrams
CharacterBench: Benchmarking Character Customization of Large Language Models
MPMQA: Multimodal Question Answering on Product Manuals
Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems
On the Computation of Point of View
Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation
Using CSP Look-Back Techniques to Solve Real-World SAT Instances
Towards Developing Safety Assurance Cases for Learning-Enabled Medical Cyber-Physical Systems
Towards a Logic-Based Theory of Argumentation
Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction
Proof Analogy in Interactive Theorem Proving: A Method to Express and Use It via Second Order Pattern Matching
MindMap: Constructing Evidence Chains for Multi-Step Reasoning in Large Language Models
Recurrent Attentional Topic Model
An Average Case Analysis of Planning
Incremental Update of Datalog Materialisation: the Backward/Forward Algorithm
Commitment Strategies in Hierarchical Task Network Planning
SOGDet: Semantic-Occupancy Guided Multi-View 3D Object Detection
Towards Equipping Transformer with the Ability of Systematic Compositionality
Submodel Decomposition for Solving Limited Memory Influence Diagrams (Student Abstract)
TraceHub - A Platform to Bridge the Gap between State-of-the-Art Time-Series Analytics and Datasets
Towards Safe Semi-Supervised Learning for Multivariate Performance Measures
RHanDS: Refining Malformed Hands for Generated Images with Decoupled Structure and Style Guidance
Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration
Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning
Finding Optimal Abstract Strategies in Extensive-Form Games
SciFinance: A Program Synthesis Tool for Financial Modeling
Adaptive Global-Local Context Fusion for Multi-Turn Spoken Language Understanding
Learning Network Architecture for Open-Set Recognition
SwitchTab: Switched Autoencoders Are Effective Tabular Learners
Towards a Better Understanding of Bidirectional Search
Non-Markovian Control in the Situation Calculus
Generating Explicit Orderings for Non-monotonic Logics
Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning
Exploring Enhanced Contextual Information for Video-Level Object Tracking
TGSum: Build Tweet Guided Multi-Document Summarization Dataset
Text-to-Image Generation for Abstract Concepts
Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning
Modeling Form for On-line Following of Musical Performances
Fairness and Welfare Quantification for Regret in Multi-Armed Bandits
Multi-Modal Prompting for Open-Vocabulary Video Visual Relationship Detection
Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification
Generalized Label Reduction for Merge-and-Shrink Heuristics
Accelerating Data Discovery with an Ontology-driven Tool for an Enterprise-scale Data Lake Environment
Characterization of the Convex Łukasiewicz Fragment for Learning From Constraints
Variable-Based Calibration for Machine Learning Classifiers
When Robots Weep: Emotional Memories and Decision-Making
Manifold Learning for Jointly Modeling Topic and Visualization
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting
An Extraction and Representation Pipeline for Literary Characters
An Adaptive Planner
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation
Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression
Adaptive Transfer Learning
Intersection of Artificial Intelligence and Medical Education (Student Abstract)
ViSTec: Video Modeling for Sports Technique Recognition and Tactical Analysis
Improving Review Representations With User Attention and Product Attention for Sentiment Classification
Automated Online Mechanism Design and Prophet Inequalities
Predicting Vehicular Travel Times by Modeling Heterogeneous Influences Between Arterial Roads
PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis
A Note on Probabilistic Logic
Pay-As-You-Go OWL Query Answering Using a Triple Store
Improved Algorithm for Regret Ratio Minimization in Multi-Objective Submodular Maximization
Enabling Region-Specific Control via Lassos in Point-Based Colorization
AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-identification
Formalising the Robustness of Counterfactual Explanations for Neural Networks
CraftFactory: A Conditioned Control Policy Benchmark for Compositional Generalization
Playing Games Across the Superintelligence Divide
Fast Probabilistic Modeling for Combinatorial Optimization
Fine-grained Adaptive Visual Prompt for Generative Medical Visual Question Answering
HR - Automatic Concept Formation in Finite Algebras
Restoring Speaking Lips from Occlusion for Audio-Visual Speech Recognition
A Functional Analysis of Historical Memory Retrieval Bias in the Word Sense Disambiguation Task
Deep Learning for Medical Prediction in Electronic Health Records
An Empirical Evaluation of Bagging and Boosting
Relative Policy-Transition Optimization for Fast Policy Transfer
BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation
CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization
Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild
Hierarchical Reasoning with Probabilistic Programming
Learning Regularization for Graph Inverse Problems
SEIT: Structural Enhancement for Unsupervised Image Translation in Frequency Domain
Infinite Plaid Models for Infinite Bi-Clustering
Forecasting Competitions with Correlated Events
Self-Supervised Attention-Aware Reinforcement Learning
Optimal Survival Trees: A Dynamic Programming Approach
Learning Blocking Schemes for Record Linkage
Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, SDU@AAAI 2021, Virtual Event, February 9, 2021
Online Noisy Continual Relation Learning
Neural Reasoning about Agents' Goals, Preferences, and Actions
Dynamic Contracting under Positive Commitment
Learning Fast and Slow: Levels of Learning in General Autonomous Intelligent Agents
Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser
Inference Methods for a Pseudo-Boolean Satisfiability Solver
Search Space Reduction and Russian Doll Search
MIEHDR CNN: Main Image Enhancement based Ghost-Free High Dynamic Range Imaging using Dual-Lens Systems
CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems
EvalAssist: LLM-as-a-Judge Simplified
SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation
Modeling Voters in Multi-Winner Approval Voting
Automated Discovery of Composite SAT Variable-Selection Heuristics
Cradle-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement
Intuitive Access to Smartphone Settings Using Relevance Model Trained by Contrastive Learning
Memory-Efficient Inference in Relational Domains
Resource Democratization: Is Compute the Binding Constraint on AI Research?
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks
Accurate Parameter Estimation for Safety-Critical Systems with Unmodeled Dynamics (Abstract Reprint)
Abstract Constraints for Safe and Robust Robot Learning from Demonstration
Fast Offline Policy Optimization for Large Scale Recommendation
Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling
A Mixed Reality Approach to Undergraduate Robotics Education
Generating Effective Admissible Heuristics by Abstraction and Reconstitution
Reinforcement Learning Algorithms for Average-Payoff Markovian Decision Processes
Conformal Thresholded Intervals for Efficient Regression
SK-Net: Deep Learning on Point Cloud via End-to-End Discovery of Spatial Keypoints
Learning to Reweight with Deep Interactions
Supporting Queries with Imprecise Constraints
How to Protect Copyright Data in Optimization of Large Language Models?
Universal Weak Coreset
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices
Integrated Natural Spoken Dialogue System of Jijo-2 Mobile Robot for Office Services
Metric Distortion of Line-up Elections: The Right Person for the Right Job
Adversarial Transformations for Semi-Supervised Learning
Multi-label Few-shot Learning with Semantic Inference (Student Abstract)
Althea: Minimalist Representation for Robot Assembly Tasks
Learnable Path in Neural Controlled Differential Equations
Hybrid Inference for Sensor Network Localization Using a Mobile Robot
Using Structural and Functional Information in Diagnostic Design
English Light Verb Construction Identification Using Lexical Knowledge
Recommending Positive Links in Signed Social Networks by Optimizing a Generalized AUC
Dr. R.O. Bott Will See You Now: Exploring AI for Wellbeing with Middle School Students
ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression
On the Verification of Neural ODEs with Stochastic Guarantees
Stochastic Optimization for Collision Selection in High Energy Physics
Memory-Efficient Dynamic Programming for Learning Optimal Bayesian Networks
Improving Interpretability via Explicit Word Interaction Graph Layer
Using Decision Theory to Justify Heuristics
SNEQ: Semi-Supervised Attributed Network Embedding with Attention-Based Quantisation
Discretionary Trees: Understanding Street-Level Bureaucracy via Machine Learning
Human-in-the-Loop SLAM
Expressive Recommender Systems through Normalized Nonnegative Models
Continuous Speech Recognition Using Modified Stack Decoding Algorithm
Route Planning under Uncertainty: The Canadian Traveller Problem
Automated Mechanism Design for Classification with Partial Verification
Modeling the Intensity Function of Point Process Via Recurrent Neural Networks
CLUE-AD: A Context-Based Method for Labeling Unobserved Entities in Autonomous Driving Data
Wings for Pegasus: Creating Large-Scale Scientific Applications Using Semantic Representations of Computational Workflows
Identifying and Eliminating Majority Illusion in Social Networks
Orthogonal Dictionary Guided Shape Completion Network for Point Cloud
Bamboo: Ball-Shape Data Augmentation Against Adversarial Attacks from All Directions
Core-to-Global Reasoning for Compositional Visual Question Answering
END^2: Robust Dual-Decoder Watermarking Framework Against Non-Differentiable Distortions
MoCaNet: Motion Retargeting In-the-Wild via Canonicalization Networks
A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection
Bingeability and Ad Tolerance: New Metrics for the Streaming Media Age
Simulation-Based Approach to Efficient Commonsense Reasoning in Very Large Knowledge Bases
Virtual Arc Consistency for Weighted CSP
Stochastic Approximate Gradient Descent via the Langevin Algorithm
Tracking Logical Difference in Large-Scale Ontologies: A Forgetting-Based Approach
Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization
Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing
Unit Selection with Causal Diagram