yusuke1997/dblp-id-title huggingface dataset:
Rare Words: A Major Problem for Contextualized Embeddings and How to Fix it by Attentive Mimicking
Panel: User Modeling and User Interfaces
Super-Class Guided Transformer for Zero-Shot Attribute Classification
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model
Mixture of Expert/Imitator Networks: Scalable Semi-Supervised Learning Framework
Few-shot Learning for Multi-label Intent Detection
SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds
A Crowd-AI Collaborative Duo Relational Graph Learning Framework towards Social Impact Aware Photo Classification
Local and Global Linear Convergence of General Low-Rank Matrix Recovery Problems
Self-Domain Adaptation for Face Anti-Spoofing
Expand VSR Benchmark for VLLM to Expertize in Spatial Rules
Automatic Semantic Relation Extraction with Multiple Boundary Generation
Reduction Techniques for Graph-Based Convex Clustering
Simple Causal Minimizations for Temporal Persistence and Projection
Generalized Plan Recognition
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion
Querying Temporal Constraint Networks in PTIME
Exploring Rationale Learning for Continual Graph Learning
Non-Negative Inductive Matrix Completion for Discrete Dyadic Data
Event-Aware Multimodal Mobility Nowcasting
GAN-Based Domain Inference Attack
A Multi-Task Learning Framework for Abstractive Text Summarization
3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation
CEM: Commonsense-Aware Empathetic Response Generation
Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities
DisGUIDE: Disagreement-Guided Data-Free Model Extraction
Truthful and Near-Optimal Mechanisms for Welfare Maximization in Multi-Winner Elections
A Knowledge Compilation Map for Ordered Real-Valued Decision Diagrams
Probably Approximate Shapley Fairness with Applications in Machine Learning
Linear Dynamic Programs for Resource Management
UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models
Normalizing Microtext
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization
Input Margins Can Predict Generalization Too
Optimal Machine Strategies to Commit to in Two-Person Repeated Games
Dynamic User Profiling for Streams of Short Texts
Advances in MetaDL: AAAI 2021 Challenge and Workshop
L2R: A Logical Method for Reference Reconciliation
Robust Execution of BDI Agent Programs by Exploiting Synergies Between Intentions
A Comparison between Microblog Corpus and Balanced Corpus from Linguistic and Sentimental Perspectives
CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines
3M-Game: Multi-Modal Multi-Task Multi-Teacher Learning for Game Event Detection (Student Abstract)
Efficient Exploration in Resource-Restricted Reinforcement Learning
Generative Exploration and Exploitation
Steering Evolution Strategically: Computational Game Theory and Opponent Exploitation for Treatment Planning, Drug Design, and Synthetic Biology
Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation
Planning and Learning for Non-markovian Negative Side Effects Using Finite State Controllers
A Practical Overview of Safety Concerns and Mitigation Methods for Visual Deep Learning Algorithms
Boosting Vision State Space Model with Fractal Scanning
Optimal Subset Selection for Active Learning
Aligning Time-series by Local Trends: Applications in Public Health
Heuristic Search for Large Problems With Real Costs
Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales
Topological Relations between Convex Regions
Guiding Safe Reinforcement Learning Policies Using Structured Language Constraints
Learning Revenue Maximization Using Posted Prices for Stochastic Strategic Patient Buyers
An ILP Method Based on Instance Graph
Towards Effective and General Graph Unlearning via Mutual Evolution
Solving Difficult CSPs with Relational Neighborhood Inverse Consistency
Type Sequence Preserving Heterogeneous Information Network Embedding
DroughtSet: Understanding Drought Through Spatial-Temporal Learning
Smartphone-Based Game Development to Introduce K12 Students in Applied Artificial Intelligence
Solving a Stochastic Queueing Design and Control Problem with Constraint Programming
Towards a Multimodal Large Language Model with Pixel-Level Insight for Biomedicine
An Overview of Phi NIX
Minimising Undesired Task Costs in Multi-Robot Task Allocation Problems with In-Schedule Dependencies
Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition
Situated Conversational Agents
A Universal 2-state n-action Adaptive Management Solver
Automatic Optimal Multi-Agent Path Finding Algorithm Selector (Student Abstract)
A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension
ASKNet: Automatically Generating Semantic Knowledge Networks
Adaptive Singleton-Based Consistencies
Human-Computer Interaction for AI Systems Design: Reflections on an Online Course on Human-AI Interaction for Professionals
ConDo: Continual Domain Expansion for Absolute Pose Regression
Towards Optimal Binary Code Learning via Ordinal Embedding
Text Beautifier: An Affective-Text Tool to Tailor Written Text
Debiased Active Learning with Variational Gradient Rectifier
Knowledge and Cross-Pair Pattern Guided Semantic Matching for Question Answering
Mx2M: Masked Cross-Modality Modeling in Domain Adaptation for 3D Semantic Segmentation
Collaborative Interface Agents
Improved Algorithms for Maximum Satisfiability and Its Special Cases
Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation
Distance Estimates for Planning in the Discrete Belief Space
Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning
Learning Basis Representation to Refine 3D Human Pose Estimations
Partially Supervised Text Classification with Multi-Level Examples
Modeling and Using Physical Constraints in Scene Analysis
Breaking Symmetries in Quantified Graph Search: A Comparative Study
ViT-Calibrator: Decision Stream Calibration for Vision Transformer
DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models
Stereoscopic Image Super-Resolution with Stereo Consistent Feature
Expressive Real-Time Intersection Scheduling
Bagging Ensembles for the Diagnosis and Prognostication of Alzheimer's Disease
Scalable Trajectory-User Linking with Dual-Stream Representation Networks
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models
Centibots: Very Large Scale Distributed Robotic Teams
Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets
Preemptive Strategies for Overcoming the Forgetting of Goals
SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning
Energy Disaggregation Methods for Commercial Buildings Using Smart Meter and Operational Data
On Heterogeneous Machine Learning Ensembles for Wind Power Prediction
Content and Context: Two-Pronged Bootstrapped Learning for Regex-Formatted Entity Extraction
RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative Adversarial Networks
ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes
Novel Geometric Approach for Global Alignment of PPI Networks
Nearly Tight Bounds on Approximate Equilibria in Spatial Competition on the Line
Optimal Pathfinding on Weighted Grid Maps
Interactive Query-Based Debugging of ASP Programs
Multiagent Evaluation Mechanisms
Trainable Undersampling for Class-Imbalance Learning
Relative Attributes for Enhanced Human-Machine Communication
SAIL: Sample-Centric In-Context Learning for Document Information Extraction
Reverse Multi-Choice Dialogue Commonsense Inference with Graph-of-Thought
Progress in Textual Case-Based Reasoning: Predicting the Outcome of Legal Cases from Text
An Approximate Subgame-Perfect Equilibrium Computation Technique for Repeated Games
Knowledge-aware Named Entity Recognition with Alleviating Heterogeneity
The Semantic Interpretation of Nominal Compounds
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness
Cross-Lingual Taxonomy Alignment with Bilingual Biterm Topic Model
Shield Synthesis for LTL Modulo Theories
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary
Low-Rank Factorization of Determinantal Point Processes
Approximate K-Means++ in Sublinear Time
Lifted MEU by Weighted Model Counting
CTIN: Robust Contextual Transformer Network for Inertial Navigation
Time-Sensitive Opinion Mining for Prediction
Upping the Game of Taxi Driving in the Age of Uber
Schematic Invariants by Reduction to Ground Invariants
EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues
ALP: Data Augmentation Using Lexicalized PCFGs for Few-Shot Text Classification
Speeding up the Convergence of Real-Time Search
Measuring Catastrophic Forgetting in Neural Networks
Using Caching to Solve Larger Probabilistic Planning Problems
Using a Geometric-Based Sketch Recognition Approach to Sketch Chinese Radicals
BotSense: An Open-Source Middleware Framework for Unifying and Enabling Intelligent Robotic Systems
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition
On the Relationship Between Monotone and Squared Probabilistic Circuits
Towards Multimodal Vision-Language Models Generating Non-generic Text
Open-Set Graph Domain Adaptation via Separate Domain Alignment
On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
Using AI for Olympic Equestrian Event Preparation
Latent Tree Models and Approximate Inference in Bayesian Networks
Exploiting Diversity for Natural Language Processing
Parameterization of (Partial) Maximum Satisfiability above Matching in a Variable-Clause Graph
Lipschitz Lifelong Reinforcement Learning
Adapting Translation Models for Transcript Disfluency Detection
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading
Making Money from What You Know - How to Sell Information?
Balancing Safety and Exploitability in Opponent Modeling
Sterling: Synergistic Representation Learning on Bipartite Graphs
Multi-Context System for Optimization Problems
Expanding the Scope of Negatives: Boosting Image-Text Matching with Negatives Distribution Guided Learning
"Squeaky Wheel" Optimization
Neural Question Generation with Answer Pivot
Temporal Correlation Vision Transformer for Video Person Re-Identification
Learning with Noisy Labels Using Hyperspherical Margin Weighting
Beat the Cheater: Computing Game-Theoretic Strategies for When to Kick a Gambler out of a Casino
ALLVB: All-in-One Long Video Understanding Benchmark
Building Semantic Mappings from Databases to Ontologies
Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding
Combating Phone Scams with LLM-based Detection: Where Do We Stand? (Student Abstract)
STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning
DiFA: Differentiable Feature Acquisition
Knowledge Lean Word-Sense Disambiguation
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts
Pac-Learning Nondeterminate Clauses
Shallow Diffusion for Fast Speech Enhancement (Student Abstract)
Universum Prescription: Regularization Using Unlabeled Data
Dynamically Identifying Deep Multimodal Features for Image Privacy Prediction
Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure
Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions
A Sharp Leap from Quantified Boolean Formula to Stochastic Boolean Satisfiability Solving
SymmCompletion: High-Fidelity and High-Consistency Point Cloud Completion with Symmetry Guidance
Deep MIML Network
MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues
Gaussian Process Bandits with Aggregated Feedback
Combining Qualitative and Quantitative Constraints in Temporal Reasoning
Time Series Anomaly Detection with Multiresolution Ensemble Decoding
Ripple: Concept-Based Interpretation for Raw Time Series Models in Education
Empirical Studies on the Speed of Convergence of Neural Network Training Using Genetic Algorithms
Plan, Activity, and Intent Recognition, Papers from the 2013 AAAI Workshop, Bellevue, Washington, USA, July 15, 2013
Robust Cuts Over Time: Combatting the Spread of Invasive Species with Unreliable Biological Control
Memory Management With Explicit Time in Resource-Bounded Agents
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation
Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data
Exploring Temporal Event Cues for Dense Video Captioning in Cyclic Co-Learning
HGSFusion: Radar-Camera Fusion with Hybrid Generation and Synchronization for 3D Object Detection
An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints
The Linear Distance Traveling Tournament Problem Allows an EPTAS
Uncovering Latent Biases in Text: Method and Application to Peer Review
Dilated FCN for Multi-Agent 2D/3D Medical Image Registration
Robot Navigation in Unknown Terrains of Convex Polygonal Obstacles Using Learned Visibility Graphs
VRVVC: Variable-Rate NeRF-Based Volumetric Video Compression
Distributional Reinforcement Learning via Moment Matching
Statistical Inference Using SGD
Comparing Phase Transitions and Peak Cost in PP-Complete Satisfiability Problems
Automatic Extraction of Events-Based Conditional Commonsense Knowledge
KGCRR: An Effective Metric-Driven Knowledge Graph Completion Framework by Designing a Novel Upper Bound Function with Adaptive Approximation to Reciprocal Rank
Connecting Cognitive and Physical Worlds with Dynamic Cost Function Definition
FLUE: Streamlined Uncertainty Estimation for Large Language Models
Using Performance Profile Trees to Improve Deliberation Control
Termination Analysis of OPS5 Expert Systems
Enforcing Meter in Finite-Length Markov Sequences
A Self-Organizing Neural Network for Contour Integration through Synchronized Firing
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning
Building Human-Machine Trust via Interpretability
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30 - August 3, 2000, Austin, Texas, USA
Walkability Optimization: Formulations, Algorithms, and a Case Study of Toronto
On the Generation of Medical Question-Answer Pairs
The Tractability of SHAP-Score-Based Explanations for Classification over Deterministic and Decomposable Boolean Circuits
End-to-End Probabilistic Label-Specific Feature Learning for Multi-Label Classification
Generating Content for Scenario-Based Serious-Games Using CrowdSourcing
Imagine: Image-Guided 3D Part Assembly with Structure Knowledge Graph
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations
Identifying Linear Causal Effects
Analyzing Reading Behavior by Blog Mining
Generalized Link Properties for Expressive epsilon-Connections of Description Logics
An Interactive Constraint-Based Approach to Minesweeper
Multi-Scale Contrastive Learning for Video Temporal Grounding
Developing Software is like Talking to Eskimos about Snow
Federated Unsupervised Domain Generalization Using Global and Local Alignment of Gradients
Anticipatory Perceptual Simulation for Human-Robot Joint Practice: Theory and Application Study
Using Approximation within Constraint Programming to Solve the Parallel Machine Scheduling Problem with Additional Unit Resources
Data-Centric Privacy Policies for Smart Grids
Just Ask: An Interactive Learning Framework for Vision and Language Navigation
Adaptive Constraint Partition Based Optimization Framework for Large-Scale Integer Linear Programming (Student Abstract)
Cross-Domain Few-Shot Graph Classification
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs
Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study
Energy Disaggregation via Learning Powerlets and Sparse Coding
Extremely Low Bit Neural Network: Squeeze the Last Bit Out With ADMM
Aggregating User Input in Ecology Citizen Science Projects
Designing a Portfolio of Parameter Configurations for Online Algorithm Selection
BVT-IMA: Binary Vision Transformer with Information-Modified Attention
PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping
A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models
Accurate Integration of Aerosol Predictions by Smoothing on a Manifold
Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering
A Recursive Scenario Decomposition Algorithm for Combinatorial Multistage Stochastic Optimisation Problems
Probing Word Syntactic Representations in the Brain by a Feature Elimination Method
Follow-Your-Click: Open-domain Regional Image Animation via Motion Prompts
NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning
RealPortrait: Realistic Portrait Animation with Diffusion Transformers
Modeling Knowledge Graphs with Composite Reasoning
Visual Sentiment Analysis by Attending on Local Image Regions
Automatic Wrapper Generation Using Tree Matching and Partial Tree Alignment
Exploiting Problem Symmetries in State-Based Planners
Multiple Positional Self-Attention Network for Text Classification
Learning Safe Action Models with Partial Observability
Learning Non-Linearly Separable Boolean Functions With Linear Threshold Unit Trees and Madaline-Style Networks
Solving JumpIN' Using Zero-Dependency Reinforcement Learning (Student Abstract)
The CoachAI Badminton Environment: Bridging the Gap between a Reinforcement Learning Environment and Real-World Badminton Games
Learning Representations of Bi-level Knowledge Graphs for Reasoning beyond Link Prediction
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation
An Evolutionary Perspective on AI Alignment (Student Abstract)
Universal and Tight Online Algorithms for Generalized-Mean Welfare
Knowledge-Based Navigation of Complex Information Spaces
Linear Regularizers Enforce the Strict Saddle Property
Data Structures for Generalised Arc Consistency for Extensional Constraints
Exploiting High-Order Interaction Relations to Explore User Intent (Student Abstract)
Predicting Emotion Perception Across Domains: A Study of Singing and Speaking
TDeLTA: A Light-Weight and Robust Table Detection Method Based on Learning Text Arrangement
Simplify-Then-Translate: Automatic Preprocessing for Black-Box Translation
Linking Educational Resources on Data Science
Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms
Learning to Generate Maps from Trajectories
Submodular Optimization with Routing Constraints
Build Your Own Robot Friend: An Open-Source Learning Module for Accessible and Engaging AI Education
Worldwide Influenza Surveillance through Twitter
Estimation of Spectral Risk Measures
Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum
Improving Multi-Document Summarization via Text Classification
Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory
A Formalization of Program Debugging in the Situation Calculus
MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context
An Integrated System that Unifies Multiple Shape from Texture Algorithms
Seeing Beyond Noise: Joint Graph Structure Evaluation and Denoising for Multimodal Recommendation
Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing
PrecipDiff: Leveraging Image Diffusion Models to Enhance Satellite-Based Precipitation Observations
Speeding Up the Calculation of Heuristics for Heuristic Search-Based Planning
Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences Through f-Divergence Minimization
Supervised Transfer Sparse Coding
A Tree Representation for Parallel Problem Solving
Dialogue Act Sequence Labeling Using Hierarchical Encoder With CRF
Rule Induction in Knowledge Graphs Using Linear Programming
Approximation Scheme for Weighted Metric Clustering via Sherali-Adams
Bike-Repositioning Using Volunteers: Crowd Sourcing with Choice Restriction
3D Object Detection Using Scale Invariant and Feature Reweighting Networks
QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models
EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks
A Separation and Alignment Framework for Black-Box Domain Adaptation
TODS: An Automated Time Series Outlier Detection System
Constraint Limited Generalization: Acquiring Procedures From Examples
MCTS Based on Simple Regret
Cognitive Bias and Reassignment: Who Can Contribute High Quality LLM Data
Bernoulli Embeddings for Graphs
Can Eruptions Be Predicted? Short-Term Prediction of Volcanic Eruptions via Attention-Based Long Short-Term Memory
A Local-Ascending-Global Learning Strategy for Brain-Computer Interface
GPTR: Gestalt-Perception Transformer for Diagram Object Detection
Bayesian Network Based Reparameterization of Haar-like Feature
Optimizing Initial Configurations of Neural Networks for the Task of Natural Language Learning
Autonomous Agents in Future Energy Markets: The 2012 Power Trading Agent Competition
Teaching Game AI as an Undergraduate Course in Computational Media
Query Quantized Neural SLAM
Creating Images by Learning Image Semantics Using Vector Space Models
Training CNNs With Normalized Kernels
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems
A Hierarchical Protocol for Coordinating Mulitagent Behaviors
Relational Prototypical Network for Weakly Supervised Temporal Action Localization
On the Power of Randomization for Obviously Strategy-Proof Mechanisms
Sembler: Ensembling Crowd Sequential Labeling for Improved Quality
Enhanced Optical Character Recognition by Optical Sensor Combined with BERT and Cosine Similarity Scoring (Student Abstract)
TempoQR: Temporal Question Reasoning over Knowledge Graphs
Point2Real: Bridging the Gap between Point Cloud and Realistic Image for Open-World 3D Recognition
Robust Training for AC-OPF (Student Abstract)
Smooth Optimization for Effective Multiple Kernel Learning
Global Distant Supervision for Relation Extraction
Heterogeneous Transfer Learning with RBMs
Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing
Efficient Answer Enumeration in Description Logics with Functional Roles
Achieving Cooperation in a Minimally Constrained Environment
Getting Serious About Parsing Plans: A Grammatical Analysis of Plan Recognition
Visual Redundancy Removal for Composite Images: A Benchmark Dataset and a Multi-Visual-Effects Driven Incremental Method
HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting
Taxonomy Completion via Triplet Matching Network
Auditing and Robustifying COVID-19 Misinformation Datasets via Anticontent Sampling
Neural Language Model Based Attentive Term Dependence Model for Verbose Query (Student Abstract)
Regrets Only! Online Stochastic Optimization under Time Constraints
VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers
On the Differential Privacy of Bayesian Inference
CiteSeerX: AI in a Digital Library Search Engine
Confidence Weighted Multitask Learning
Integration of Multiple Knowledge Sources in ALADIN: An Alloy Design System
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation