yusuke1997/dblp-id-title huggingface dataset:
Factual and Informative Review Generation for Explainable Recommendation
DELTA: Pre-Train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment
Build-a-Bot: Teaching Conversational AI Using a Transformer-Based Intent Recognition and Question Answering Architecture
Parallel Constraint Acquisition
Managing the Life Cycle of Plans
Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation
A Logical Measure of Progress for Planning
Loan Fraud Users Detection in Online Lending Leveraging Multiple Data Views
Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation
The AI Race: Why Current Neural Network-based Architectures are a Poor Basis for Artificial General Intelligence
Local Search for Hard SAT Formulas: The Strength of the Polynomial Law
Multi-Knowledge Aggregation and Transfer for Semantic Segmentation
Degrade Is Upgrade: Learning Degradation for Low-Light Image Enhancement
Automatically Creating a Large Number of New Bilingual Dictionaries
Super-efficient Echocardiography Video Segmentation via Proxy- and Kernel-Based Semi-supervised Learning
Variance Penalized On-Policy and Off-Policy Actor-Critic
Representative Explanations for Over-Constrained Problems
Scalable Sparse Covariance Estimation via Self-Concordance
FashionERN: Enhance-and-Refine Network for Composed Fashion Image Retrieval
Scalable Quantum-Inspired Optimization Through Dynamic Qubit Compression
Merging Stratified Knowledge Bases under Constraints
NuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem
Arbitrary Video Style Transfer via Multi-Channel Correlation
Understanding Deformable Alignment in Video Super-Resolution
StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-Based 3D Object Detection
Agents Contracting Tasks in Non-Collaborative Environments
Visual Relationship Detection With Deep Structural Ranking
ODSS: Efficient Hybridization for Optimal Coalition Structure Generation
Well, Now We Know! Unveiling Sarcasm: Initiating and Exploring Multimodal Conversations with Reasoning
Enforcement Heuristics for Argumentation with Deep Reinforcement Learning
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
Internal Robust Representations for Domain Generalization
Computing the Yolk in Spatial Voting Games without Computing Median Lines
Liquid Democracy: An Algorithmic Perspective
Enriching Word Embeddings with a Regressor Instead of Labeled Corpora
Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers
Fast Convergence in Learning Two-Layer Neural Networks with Separable Data
LLM-Powered User Simulator for Recommender System
A Comparative Study of Control Strategies for Expert Systems: Age Implementation of Three Variations of PUFF
Runtime Analysis for the NSGA-II: Provable Speed-Ups from Crossover
EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-commerce
Symbiotic Cognitive Systems, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 13, 2016
S³-Mamba: Small-Size-Sensitive Mamba for Lesion Segmentation
Pose-Assisted Multi-Camera Collaboration for Active Object Tracking
Model-Based Reinforcement Learning in Continuous Environments Using Real-Time Constrained Optimization
Audience Engagement with Political Messaging on YouTube Shorts (Student Abstract)
Comparison of Three Algorithms for Ensuring Serializable Executions in Parallel Production Systems
OTPNet: ODE-inspired Tuning-free Proximal Network for Remote Sensing Image Fusion
Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement
All Should Be Equal in the Eyes of LMs: Counterfactually Aware Fair Text Generation
Complete Symmetry Breaking for Finite Models
Multi-Agent Plan Recognition: Formalization and Algorithms
Model-based Support for Mutable Parametric Design Optimization
PRP Rebooted: Advancing the State of the Art in FOND Planning
D 2 -DPM: Dual Denoising for Quantized Diffusion Probabilistic Models
Pantypes: Diverse Representatives for Self-Explainable Models
Stochastic Bandits with Graph Feedback in Non-Stationary Environments
Compiling Plan Operators from Domains Expressed in Qualitative Process Theory
Large Norms of CNN Layers Do Not Hurt Adversarial Robustness
Semantical Considerations on Dialectical and Practical Commitments
Non-Negative Matrix Factorization with Constraints
Can Deep Blue TM Make Us Happy? Reflections on Human and Artificial Expertise
Learning Instance Concepts from Multiple-Instance Data with Bags as Distributions
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection
Playing Chess with a Human-Scale Mobile Manipulator
Clustering by Exceptions
An Objective for Hierarchical Clustering in Euclidean Space and Its Connection to Bisecting K-means
Saturn: An Automatic Test Generation System for Digital Circuits
RADMAX: Risk and Deadline Aware Planning for Maximum Utility
Strategic Sequences of Arguments for Persuasion Using Decision Trees
Modeling Probabilistic Commitments for Maintenance Is Inherently Harder than for Achievement
Cross-Modal Clustering
Entity Type Enhanced Neural Model for Distantly Supervised Relation Extraction (Student Abstract)
Data-Driven Multimodal Patrol Planning for Anti-poaching
Text Analysis for Understanding Symptoms of Social Anxiety in Student Veterans
Space-Efficient Memory-Based Heuristics
Automatic Programming of Robots Using Genetic Programming
ATSUM: Extracting Attractive Summaries for News Propagation on Microblogs
Inferring Multi-Dimensional Ideal Points for US Supreme Court Justices
PANTHER: Pathway Augmented Nonnegative Tensor Factorization for HighER-order Feature Learning
On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory
Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization
ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking
DM-Adapter: Domain-Aware Mixture-of-Adapters for Text-Based Person Retrieval
Enhancing Personalized Trip Recommendation with Attractive Routes
Never-Ending Learning
DramaQA: Character-Centered Video Story Understanding with Hierarchical QA
SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation
Predicting Demographics of High-Resolution Geographies with Geotagged Tweets
Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms (Student Abstract)
Factorization Ranking Model for Move Prediction in the Game of Go
Model-Based Collaborative Filtering as a Defense against Profile Injection Attacks
Intent Oriented Contrastive Learning for Sequential Recommendation
Analyzing Failure Recovery to Improve Planner Design
Weakly-Supervised Salient Object Detection Using Point Supervison
Learning to Take Actions
Huffman Coding for Storing Non-Uniformly Distributed Messages in Networks of Neural Cliques
SSCFI: Autonomous Fault Isolation in Communications Circuits
Designing Fast Absorbing Markov Chains
Flexible Decision-Making in Sequential Auctions
Automated Program Debugging Via Multiple Predicate Switching
DocFormerv2: Local Features for Document Understanding
Multi-Domain Recommendation to Attract Users via Domain Preference Modeling
CKS: A Community-Based K-shell Decomposition Approach Using Community Bridge Nodes for Influence Maximization (Student Abstract)
Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters
Exploiting Fine-Grained Skip Behaviors for Micro-Video Recommendation
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
A Generalization of Sleep Sets Based on Operator Sequence Redundancy
Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection
Soft Video Parsing by Label Distribution Learning
Utilize the Flow Before Stepping into the Same River Twice: Certainty Represented Knowledge Flow for Refusal-Aware Instruction Tuning
Time Units and Calendars
HDformer: A Higher-Dimensional Transformer for Detecting Diabetes Utilizing Long-Range Vascular Signals
Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation
Chinese Common Noun Phrase Resolution: An Unsupervised Probabilistic Model Rivaling Supervised Resolvers
Metric Constraints for Maintaining Appointments: Dates and Repeated Activities
Building Task-Oriented Dialogue Systems for Online Shopping
Axioms for Distance-Based Centralities
Concept Extraction and Prerequisite Relation Learning from Educational Data
Message Passing Attention Networks for Document Understanding
Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks
An Advising Framework for Multiagent Reinforcement Learning Systems
Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification
3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation
Linear-Time Resource Allocation in Security Games with Identical Fully Protective Resources
Chess Isn't Tough Enough: Better Games for Mind-Machine Competition
An Automated Distributed Meeting Scheduler for FCVW Plug-in
Probing Brain Activation Patterns by Dissociating Semantics and Syntax in Sentences
DiT4Edit: Diffusion Transformer for Image Editing
Reinforcement Learning for Algorithm Selection
General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits
Cooperator-Base + Task-Base For Agent Modeling: The Virtual Secretary Approach
ReMoGPT: Part-Level Retrieval-Augmented Motion-Language Models
On the Role of Syntactic Graph Convolutions for Identifying and Classifying Argument Components
Detecting Anomalous Sensor Events in Smart Home Data for Enhancing the Living Experience
Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model
Optimizing Interventions via Offline Policy Evaluation: Studies in Citizen Science
On Validation and Predictability of Digital Badges' Influence on Individual Users
Can Private Machine Learning Be Fair?
Daycare Matching in Japan: Transfers and Siblings
Communication Learning via Backpropagation in Discrete Channels with Unknown Noise
Markov Argumentation Random Fields
ARIEL: Autonomous Robot for Integrated Exploration and Localization
Transfer Learning in Collaborative Filtering for Sparsity Reduction
Version Spaces without Boundary Sets
Using Vision to Improve Sound Source Separation
Autonomous Policy Explanations for Effective Human-Machine Teaming
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
Automated Verification of Social Laws for Continuous Time Multi-Robot Systems
Attending to Entities for Better Text Understanding
Online Kernel Selection: Algorithms and Evaluations
Fast Converging Anytime Model Counting
Boosting Semantic Web Data Access Using Swoogle
Spatial and Qualitative Aspects of Reasoning about Motion
Prediction and Change Detection in Sequential Data for Interactive Applications
Learning Structural Features of Nodes in Large-Scale Networks for Link Prediction
MobileWorks: A Mobile Crowdsourcing Platform for Workers at the Bottom of the Pyramid
Latent Diffusion Transformer for Probabilistic Time Series Forecasting
Analysis of Differentially Private Synthetic Data: A Measurement Error Approach
Obvious Strategyproofness Needs Monitoring for Good Approximations
Challenges in Resource and Cost Allocation
I Spy: An Interactive Game-Based Approach to Multimodal Robot Learning
Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection
ESO-MAPF: Bridging Discrete Planning and Continuous Execution in Multi-Agent Pathfinding
Querying Partially Labelled Data to Improve a K-nn Classifier
Personalized Robot Tutoring Using the Assistive Tutor POMDP (AT-POMDP)
BeliefFlow: A Framework for Logic-Based Belief Diffusion via Iterated Belief Change
To Predict or Not to Predict? Proportionally Masked Autoencoders for Tabular Data Imputation
Adapting to Smoothness: A More Universal Algorithm for Online Convex Optimization
Integrative Construction and Analysis of Condition-specific Biological Networks
CoCoCo: Improving Text-Guided Video Inpainting for Better Consistency, Controllability and Compatibility
TallyQA: Answering Complex Counting Questions
Anchoring Symbols to Sensor Data: Preliminary Report
Decidable Fragments of First-Order Language Under Stable Model Semantics and Circumscription
Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization
From Monopoly to Competition: Optimal Contests Prevail
EMLight: Lighting Estimation via Spherical Distribution Approximation
Expressive Commerce and Its Application to Sourcing
Learning Transferable Adversarial Examples via Ghost Networks
Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification
Weakly Supervised 3D Multi-Person Pose Estimation for Large-Scale Scenes Based on Monocular Camera and Single LiDAR
Domain Reconstruction for UWB Car Key Localization Using Generative Adversarial Networks
Artificial Intelligence Needs Open-Access Knowledgebase Contents
Alternating Circulant Random Features for Semigroup Kernels
Shifting Ontological Perspectives in Reasoning About Physical Systems
Utilizing Partial Policies for Identifying Equivalence of Behavioral Models
Designing Characters with AI: An Art & AI Learning Activity
End-to-End Verification for Subgraph Solving
Channel Interaction Networks for Fine-Grained Image Categorization
Counterfactual Identification Under Monotonicity Constraints
TechSinger: Technique Controllable Multilingual Singing Voice Synthesis via Flow Matching
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks
Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents
On Scalar Embedding of Relative Positions in Attention Models
Learning to Play Hearts
Infrared-Visible Cross-Modal Person Re-Identification with an X Modality
Sensitivity Analysis of Deep Neural Networks
Linear-Time Verification of Data-Aware Processes Modulo Theories via Covers and Automata
High-Fidelity Diffusion-Based Image Editing
On the Convergence of Iterative Voting: How Restrictive Should Restricted Dynamics Be?
DreamPhysics: Learning Physics-Based 3D Dynamics with Video Diffusion Priors
Multi-Architecture Multi-Expert Diffusion Models
Multimodal Ensembling for Zero-Shot Image Classification
Knowledge-Base Reduction: A New Approach to Checking knowledge Bases for Inconsistency and Redundancy
Does Explainable Artificial Intelligence Improve Human Decision-Making?
On the Relation between Distributionally Robust Optimization and Data Curation (Student Abstract)
Simple Randomized Algorithms for Tractable Row and Tree Convex Constraints
Fooling Thermal Infrared Pedestrian Detectors in Real World Using Small Bulbs
Single Document Keyphrase Extraction Using Neighborhood Knowledge
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
Deep Visual Forced Alignment: Learning to Align Transcription with Talking Face Video
POEM: Polarization of Embeddings for Domain-Invariant Representations
Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer
Adversarial Dynamic Shapelet Networks
Protecting Model Adaptation from Trojans in the Unlabeled Data
Model AI Assignments 2016
Grad-Align: Gradual Network Alignment via Graph Neural Networks (Student Abstract)
Personalized Time-Aware Tag Recommendation
A Diversified Generative Latent Variable Model for WiFi-SLAM
On Convergence of Epanechnikov Mean Shift
On Rational Delegations in Liquid Democracy
Reasoning about Imperfect Information Games in the Epistemic Situation Calculus
Perceptual Organization as a Basis for Visual Recognition
Synergy of GFlowNet and Protein Language Model Makes a Diverse Antibody Designer
A Robust and Efficient Algorithm for the PnL Problem Using Algebraic Distance to Approximate the Reprojection Distance
CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning
Quantifying Uncertainty in Batch Personalized Sequential Decision Making
Fingerprints Theorems
Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification
Automatic Interpretation of Line Probe Assay Test for Tuberculosis
An Interaction-Based Approach to Computational Epidemiology
Repairing Ontology Mappings
Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues
AAKR: Adversarial Attack-based Knowledge Retention for Continual Semantic Segmentation
RetouchGPT: LLM-based Interactive High-Fidelity Face Retouching via Imperfection Prompting
Modeling Electrical Motor Dynamics Using Encoder-Decoder with Recurrent Skip Connection
Solving Large-Scale Pursuit-Evasion Games Using Pre-trained Strategies
Generating Argumentative Judgment Determiners
A Recursive Algorithm to Generate Balanced Weekend Tournaments
Classifier Learning from Noisy Data as Probabilistic Evidence Combination
A Privacy-Preserving Framework for Generative Model-driven Synthetic Datasets
Online SPARC for Drawing and Animation
Prototype-Guided Multimodal Relation Extraction based on Entity Attributes
Weakly Supervised Induction of Affective Events by Optimizing Semantic Consistency
Unsupervised Domain Adaptation on Reading Comprehension
Unbiased Heterogeneous Scene Graph Generation with Relation-Aware Message Passing Neural Network
Semi-Supervised Dictionary Learning via Structural Sparse Preserving
RADIANT: Radar-Image Association Network for 3D Object Detection
Collaboration in Social Problem-Solving: When Diversity Trumps Network Efficiency
Inheritance of Statistical Properties
Efficient Parameter Importance Analysis via Ablation with Surrogates
MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification
Jointly Extracting Multiple Triplets with Multilayer Translation Constraints
Dual Contrastive Learning for General Face Forgery Detection
Graph Clustering Methods Derived from Column Subset Selection (Student Abstract)
Large-Scale Occupational Skills Normalization for Online Recruitment
What Do Machine Learning Researchers Mean by "Reproducible"?
Learning Relational Kalman Filtering
Resource Sharing through Multi-Round Matchings
A Combinatorial Search Perspective on Diverse Solution Generation
Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning
Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization
Multiagent Stochastic Planning With Bayesian Policy Recognition
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning
Infering Probabilistic Theofies from Data
Robust 3D Tracking with Quality-Aware Shape Completion
Probabilistic Shielding for Safe Reinforcement Learning
Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
Deep Learning on Graphs: A Data-Centric Exploration
Refining Abstraction Heuristics during Real-Time Planning
Theory-Based Causal Transfer: Integrating Instance-Level Induction and Abstract-Level Structure Learning
Variations on the Hotelling-Downs Model
Recommender Systems: A Healthy Obsession
Exploiting the Contagious Effect for Employee Turnover Prediction
ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data
On the Complexity of Linking Deductive and Abstract Argument Systems
VQLTI: Long-Term Tropical Cyclone Intensity Forecasting with Physical Constraints
LGML: Logic Guided Machine Learning (Student Abstract)
TranSplat: Generalizable 3D Gaussian Splatting from Sparse Multi-View Images with Transformers
Estimating the Causal Effect from Partially Observed Time Series
Learning Cross-Modal Context Graph for Visual Grounding
A Driving License for Intelligent Systems
Domain-Hallucinated Updating for Multi-Domain Face Anti-spoofing
Dual Reinforcement-Based Specification Generation for Image De-Rendering
Game Theory Pragmatics: A Challenge for AI
Critic-Guided Decision Transformer for Offline Reinforcement Learning
TGFormer: Transformer with Track Query Group for Multi-Object Tracking
Handling Self-Interest in Groups, with Minimal Cost
Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection
Multi-Layer Networks for Ensemble Precipitation Forecasts Postprocessing
Understanding Decoupled and Early Weight Decay
Efficient Optimization for Autonomous Robotic Manipulation of Natural Objects
Automatically Verifying Expressive Epistemic Properties of Programs
Making Personalized Recommendation through Conversation: Architecture Design and Recommendation Methods
Self-Training Multi-Sequence Learning with Transformer for Weakly Supervised Video Anomaly Detection
Sequential Order Adjustment of Action Decisions for Multi-Agent Transformer (Student Abstract)
Answering Conjunctive Queries over EL Knowledge Bases with Transitive and Reflexive Roles
Dynamic Uncertainty Estimation for Offline Reinforcement Learning
Acquiring Case Adaptation Knowledge: A Hybrid Approach
Robust Optimization for Tree-Structured Stochastic Network Design
Simple Continual Learning Strategies for Safer Classifers
Self-Supervised Self-Supervision by Combining Deep Learning and Probabilistic Logic
MTLDesc: Looking Wider to Describe Better
Cycle-Based Singleton Local Consistencies
Crowdsourcing a Comprehensive Clinical Trial Repository
Computational Aspects of Multi-Winner Approval Voting
Towards Cross-Modality Medical Image Segmentation with Online Mutual Knowledge Distillation
Combining Adversaries with Anti-adversaries in Training
Hierarchical Attention Networks for Sentence Ordering
GaussianPainter: Painting Point Cloud into 3D Gaussians with Normal Guidance
A Connectionist Model of Instructed Learning
Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models
Constructive Induction of Features for Planning
Learning to Collaborate with Unknown Agents in the Absence of Reward
Efficient No-Regret Multiagent Learning
Multi-Objective Bayesian Optimization with Active Preference Learning
Rationale-Supported Mixed-Initiative Case-Based Planning
Class Prior Estimation with Biased Positives and Unlabeled Examples
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
Weakly Supervised Gland Segmentation with Class Semantic Consistency and Purified Labels Filtration
Error Detection and Recovery in a Dynamic Planning Environment
A Framework for Minimal Clustering Modification via Constraint Programming
TAG: Learning Timed Automata from Logs
Optimal Discrete Matrix Completion
ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank
Tri-level Robust Clustering Ensemble with Multiple Graph Learning
Strictly Proper Contract Functions Can Be Arbitrage-Free
A General Framework for Recognizing Complex Events in Markov Logic
Fine-grained Intent Classification in the Legal Domain
AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning
STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation
Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting
EventPillars: Pillar-based Efficient Representations for Event Data
A General Clustering Agreement Index: For Comparing Disjoint and Overlapping Clusters
i-Code: An Integrative and Composable Multimodal Learning Framework
Interpretable Actions: Controlling Experts with Understandable Commands
Continuous Piecewise-Affine Based Motion Model for Image Animation
Unified Framework for Diffusion Generative Models in SO(3): Applications in Computer Vision and Astrophysics
PRIORITY2REWARD: Incorporating Healthworker Preferences for Resource Allocation Planning
Reasoning about Nondeterministic and Concurrent Actions: A Process Algebra Approach
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis
Free VQA Models from Knowledge Inertia by Pairwise Inconformity Learning