yusuke1997/dblp-id-title huggingface dataset:
Giving Cars Eyes: Using Computer Vision to Prevent Road Traffic Accidents in Nigeria
Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search
Negative-Aware Influence Maximization on Social Networks
Everything2Motion: Synchronizing Diverse Inputs via a Unified Framework for Human Motion Synthesis
Solving Imperfect-Information Games via Discounted Regret Minimization
Applying VC-Dimension Analysis To 3D Object Recognition from Perspective Projections
Learning Evaluation Functions for Global Optimization and Boolean Satisfiability
Agent Organized Networks Redux
GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer
Expressivity of Planning with Horn Description Logic Ontologies
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs
The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering
Empirical Analysis of the General Utility Problem in Machine Learning
Locate Globally, Segment Locally: A Progressive Architecture With Knowledge Review Network for Salient Object Detection
A Probabilistic Algorithm for Segmenting Non-Kanji Japanese Strings
Production Ready Chatbots: Generate if Not Retrieve
Partial Multi-Label Learning via Credible Label Elicitation
A Multivariate Complexity Analysis of the Material Consumption Scheduling Problem
An Object-Oriented Simulator for the Apiary
Data-Driven Approximations to NP-Hard Problems
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning
Incorporating Discriminator in Sentence Generation: a Gibbs Sampling Method
Multiagent Patrol Generalized to Complex Environmental Conditions
SENCR: A Span Enhanced Two-Stage Network with Counterfactual Rethinking for Chinese NER
Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models
Stable-Hair: Real-World Hair Transfer via Diffusion Model
An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks
Popularizing Fairness: Group Fairness and Individual Welfare
Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning
Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An Online Stable Matching Approach
Multi-tensor Completion with Common Structures
Adaptive Kernel Graph Neural Network
Achieving Ensemble-Like Performance in a Single Model: A Feature Diversification Framework for Image-Text Matching
CosTriage: A Cost-Aware Triage Algorithm for Bug Reporting Systems
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach
Face Model Compression by Distilling Knowledge from Neurons
PMRC: Prompt-Based Machine Reading Comprehension for Few-Shot Named Entity Recognition
Audio Generation with Multiple Conditional Diffusion Model
SocialSim: Towards Socialized Simulation of Emotional Support Conversation
TDS+: Improving Temperature Discovery Search
From Independent Prediction to Reordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping
MeshNet: Mesh Neural Network for 3D Shape Representation
Generating Reflective Questions for Engaging Gallery Visitors in ArtMuse
CIS: A Massively Concurrent Rule-Based System
Quantification and Commonsense Reasoning
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods
Synch-Graph: Multisensory Emotion Recognition Through Neural Synchrony via Graph Convolutional Networks
Automatic Segmentation of Data Sequences
Enabling Fast Instruction-Based Modification of Learned Robot Skills
Learning Design Guidelines by Theory Refinement
Learning Graphons via Structured Gromov-Wasserstein Barycenters
EMD Metric Learning
Adversarial Domain Adaptation with Domain Mixup
Uncorrected Least-Squares Temporal Difference with Lambda-Return
Solving Concurrent Markov Decision Processes
VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions
Valuation Uncertainty and Imperfect Introspection in Second-Price Auctions
ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract)
An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos
Generalizing Policy Advice with Gaussian Process Bandits for Dynamic Skill Improvement
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization
Trimodal Attention Module for Multimodal Sentiment Analysis (Student Abstract)
Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs
Labeling the Features Not the Samples: Efficient Video Classification with Minimal Supervision
Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision
Gradual Residuals Alignment: A Dual-Stream Framework for GAN Inversion and Image Attribute Editing
Preference Elicitation For Participatory Budgeting
Unsupervised Lexical Simplification for Non-Native Speakers
Successor Feature Sets: Generalizing Successor Representations Across Policies
Social Physics Informed Diffusion Model for Crowd Simulation
Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach
RWMS: Reliable Weighted Multi-Phase for Semi-supervised Segmentation
Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural Searching
An Abstraction-Based Method for Verifying Strategic Properties in Multi-Agent Systems with Imperfect Information
Demonstration of Rational Communicative Behavior in Coordinated Defense
Constrained Offline Black-Box Optimization via Risk Evaluation and Management
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
AIO-P: Expanding Neural Performance Predictors beyond Image Classification
The Triangle-Densest-K-Subgraph Problem: Hardness, Lovász Extension, and Application to Document Summarization
Diachronic Embedding for Temporal Knowledge Graph Completion
Logical Filtering and Smoothing: State Estimation in Partially Observable Domains
A Tool for Generating Controllable Variations of Musical Themes Using Variational Autoencoders with Latent Space Regularisation
EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation
Modeling Coherence for Discourse Neural Machine Translation
A Frame-Based Production System Architecture
Multiagent Coordination for Energy Consumption Scheduling in Consumer Cooperatives
Leveraging Modality-Specific Representations for Audio-Visual Speech Recognition via Reinforcement Learning
Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent
The Size of MDP Factored Policies
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better
Q-SENN: Quantized Self-Explaining Neural Networks
PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval
GLUECons: A Generic Benchmark for Learning under Constraints
Cross-Modality Person Re-identification with Memory-Based Contrastive Embedding
Enumerating Nontrivial Knot Mosaics with SAT (Student Abstract)
ProtCLIP: Function-Informed Protein Multi-Modal Learning
Contrastive Personalization Approach to Suspect Identification (Student Abstract)
Hypergraph Convolutional Network for Multi-Hop Knowledge Base Question Answering (Student Abstract)
Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data
Assume-Guarantee Reinforcement Learning
Diagnostics-Guided Explanation Generation
The Benefits of an Ontological Patient Model in Clinical Decision-Support
Simulation-Based Approach to General Game Playing
Semi-supervised TEE Segmentation via Interacting with SAM Equipped with Noise-Resilient Prompting
Random Walk Conformer: Learning Graph Representation from Long and Short Range
Achieving the Functionality of Filter Conditions in a Partial Order Planner
An Analysis Framework for Metric Voting based on LP Duality
Uncorrelated Lasso
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction
Online Dictionary Learning on Symmetric Positive Definite Manifolds with Vision Applications
Explainable Models with Consistent Interpretations
BirdCollect: A Comprehensive Benchmark for Analyzing Dense Bird Flock Attributes
Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts
An Experimental Comparison of Knowledge Engineering for Expert Systems and for Decision Analysis
ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context
Complexity Results for Serial Decomposability
Toward Caching Symmetrical Subtheories for Weighted Model Counting
Quantifying the Impact of Learning Algorithm Parameter Tuning
ODE-RSSM: Learning Stochastic Recurrent State Space Model from Irregularly Sampled Data
Model Checking Probabilistic Knowledge: A PSPACE Case
Nurturing Group-Beneficial Information-Gathering Behaviors Through Above-Threshold Criteria Setting
Searching for and Avoiding Hidden Sets Using Queries with Local Feedback
Combining Satellite Imagery and Open Data to Map Road Safety
Hateful Meme Detection through Context-Sensitive Prompting and Fine-Grained Labeling (Student Abstract)
Dynamic Spatial Propagation Network for Depth Completion
Useful Roles of Emotions in Artificial Agents: A Case Study from Artificial Life
PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data
Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure Detection
Biped Walk Learning Through Playback and Corrective Demonstration
Backdoors to Normality for Disjunctive Logic Programs
AI-assisted Human creativity
A Bias Trick for Centered Robust Principal Component Analysis (Student Abstract)
Theoreticai and Experimental Studies of Temporal Constraint Satisfaction Problem
Well-Written Knowledge Graphs: Most Effective RDF Syntaxes for Triple Linearization in End-to-End Extraction of Relations from Texts (Student Abstract)
Online Sensitivity Optimization in Differentially Private Learning
Learning Pattern Rules for Chinese Named Entity Extraction
Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior
Scheduling of Time-Varying Workloads Using Reinforcement Learning
Partial Awareness
PhishAgent: A Robust Multimodal Agent for Phishing Webpage Detection
A Stronger Consistency for Soft Global Constraints in Weighted Constraint Satisfaction
Adversarial Discriminative Heterogeneous Face Recognition
Order Regularization on Ordinal Loss for Head Pose, Age and Gaze Estimation
POIROT - Integrated Learning of Web Service Procedures
Causal Transportability with Limited Experiments
Collective Noise Contrastive Estimation for Policy Transfer Learning
Explaining Ourselves: Human-Aware Constraint Reasoning
Generalized Distance Bribery
Symbolic Regression Enhanced Decision Trees for Classification Tasks
Probabilities of Causation with Nonbinary Treatment and Effect
Lifelong Person Re-identification via Knowledge Refreshing and Consolidation
Heterogeneous Multi-Agent Bandits with Parsimonious Hints
Integrating Clustering and Multi-Document Summarization by Bi-Mixture Probabilistic Latent Semantic Analysis (PLSA) with Sentence Bases
Kernel Learning for Sample Constrained Black-Box Optimization
Unlocking the Potential of Reverse Distillation for Anomaly Detection
Incorporating Knowledge Graph Embeddings into Topic Modeling
GaSPing for Utility
Non-Negative Matrix Factorization Clustering on Multiple Manifolds
Power Grid Anomaly Detection via Hybrid LSTM-GIN Model (Student Abstract)
Testing Self-Reducible Samplers
P-SIF: Document Embeddings Using Partition Averaging
Dependency Tree Representations of Predicate-Argument Structures
Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks
FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems
Confidence-Aware Training of Smoothed Classifiers for Certified Robustness
Mention and Entity Description Co-Attention for Entity Disambiguation
Automated Assessment of Fidelity and Interpretability: An Evaluation Framework for Large Language Models' Explanations (Student Abstract)
Collective Intelligence in Human-AI Teams: A Bayesian Theory of Mind Approach
Forest-Based Semantic Role Labeling
PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering
NICE: Robust Scheduling through Reinforcement Learning-Guided Integer Programming
Selecting the Appropriate Consistency Algorithm for CSPs Using Machine Learning Classifiers
A Planning Approach for Message-Oriented Semantic Web Service Composition
Hypergraph Attacks via Injecting Homogeneous Nodes into Elite Hyperedges
Hindsight Optimization for Hybrid State and Action MDPs
Quality over Quantity: Boosting Data Efficiency Through Ensembled Multimodal Data Curation
Learning to Approximate Adaptive Kernel Convolution on Graphs
Dynamic Anchor Learning for Arbitrary-Oriented Object Detection
Learning to Tutor from Expert Demonstrators via Apprenticeship Scheduling
The "Inverse Hollywood Problem": From Video to Scripts and Storyboards via Causal Analysis
Multi-Document Summarization by Graph Search and Matching
DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph
Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection
A Discovery System for Trigonometric Functions
Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare Optimality at Equilibrium and Optimal Deviation
Ranking-Based Semantics for Sets of Attacking Arguments
Temporal Dynamic Controllability Revisited
RoDA: Robust Domain Alignment for Cross-Domain Retrieval Against Label Noise
Parallel AND/OR Search for Marginal MAP
Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels
A Reading Coach that Listens: (Edited) Video Transcript
Building Variable-Sized Models via Learngene Pool
Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction
Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context
Development of a Methodology and Software Shell for the Automatic Generation of Intelligent Tutoring Systems from Existing Generic Task-based Expert Systems
SentinelLMs: Encrypted Input Adaptation and Fine-Tuning of Language Models for Private and Secure Inference
Primitives and Units for Time Specification
Tuning Local Search for Satisfiability Testing
Bayesian Markov Games with Explicit Finite-Level Types
Discrete Image Hashing Using Large Weakly Annotated Photo Collections
Translation Prediction with Source Dependency-Based Context Representation
From Interest to Function: Location Estimation in Social Media
SAPE: A System for Situation-Aware Public Security Evaluation
Possibilistic and Standard Probabilistic Semantics of Conditional Knowledge
Robsut Wrod Reocginiton via Semi-Character Recurrent Neural Network
Fully-Dynamic Decision Trees
Recognizing and Justifying Text Entailment Through Distributional Navigation on Definition Graphs
Parameter Differentiation Based Multilingual Neural Machine Translation
Task-Specific Preconditioner for Cross-Domain Few-Shot Learning
On the Scalable Learning of Stochastic Blockmodel
Mixture of Experts Based Multi-Task Supervise Learning from Crowds
Qualitative RFID Tracking for ADL Recognition
StarNet: towards Weakly Supervised Few-Shot Object Detection
Self-Prompt Mechanism for Few-Shot Image Recognition
Text-Diffusion Red-Teaming of Large Language Models: Unveiling Harmful Behaviors with Proximity Constraints
Constrained Formulations and Algorithms for Stock-Price Predictions Using Recurrent FIR Neural Networks
Summarizing Time-Varying Data
AirNet: A Calibration Model for Low-Cost Air Monitoring Sensors Using Dual Sequence Encoder Networks
Shallow Feature Based Dense Attention Network for Crowd Counting
Machine Translation with Real-Time Web Search
Discourse Relations Detection via a Mixed Generative-Discriminative Framework
An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding
Random Dictators with a Random Referee: Constant Sample Complexity Mechanisms for Social Choice
Solving Security Games on Graphs via Marginal Probabilities
Merge or Not? Learning to Group Faces via Imitation Learning
Cycle Self-Refinement for Multi-Source Domain Adaptation
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
Learning Residual Alternating Automata
Safe Reinforcement Learning via Shielding
Fans Economy and All-Pay Auctions with Proportional Allocations
Open-World Multimodal Understanding and Generation with Efficiently Finetuned Foundation Models
Low-Resource Personal Attribute Prediction from Conversations
Robust Distance Metric Learning in the Presence of Label Noise
Meta-Planning
Artificial Intelligence in the CS2023 Undergraduate Computer Science Curriculum: Rationale and Challenges
Constrained Submodular Minimization for Missing Labels and Class Imbalance in Multi-label Learning
GNS: Solving Plane Geometry Problems by Neural-Symbolic Reasoning with Multi-Modal LLMs
Many-Pairs Mutual Information for Adding Structure to Belief Propagation Approximations
Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis
Planning with Participation Constraints
Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract)
On Fair Division under Heterogeneous Matroid Constraints
Automatically Augmenting Titles of Research Papers for Better Discovery
GIST English Generator
Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation
Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization
Step-Logic and the Three-Wise-Men Problem
Learning Discriminative Noise Guidance for Image Forgery Detection and Localization
Operational Definition Refinement: A Discovery Process
Graphical Representation of Assumption-Based Argumentation
Generating Natural-Language Video Descriptions Using Text-Mined Knowledge
Is Sarcasm Detection a Step-by-Step Reasoning Process in Large Language Models?
Default Reasoning through Belief Revision Strategy
VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering
Dual Decoupling Training for Semi-supervised Object Detection with Noise-Bypass Head
The Chimaera Ontology Environment
Data Analysis and Optimization for (Citi)Bike Sharing
Anytime Coordination for Progressive Planning Agents
Improving Search with Supervised Learning in Trick-Based Card Games
A Unified Approach to Online Matching with Conflict-Aware Constraints
Algorithm-in-the-Loop Decision Making
Robust Self-Weighted Multi-View Projection Clustering
Enumerate Lasso Solutions for Feature Selection
Cross-Spectral Gaussian Splatting with Spatial Occupancy Consistency
Effectively Predicting Whether and When a Topic Will Become Prevalent in a Social Network
Automatic Model Selection in Subspace Clustering via Triplet Relationships
Learning to Check Contract Inconsistencies
Model-lite Planning for the Web Age Masses: The Challenges of Planning with Incomplete and Evolving Domain Models
Complexity of Contextual Reasoning
Word Pair Convolutional Model for Happy Moment Classification
Segmenting Technical Drawing Figures in US Patents
An Integrated Systems Approach to Explanation-Based Conceptual Change
DeepCCFV: Camera Constraint-Free Multi-View Convolutional Neural Network for 3D Object Retrieval
Flood Insights: Integrating Remote and Social Sensing Data for Flood Exposure, Damage, and Urgent Needs Mapping
Neural Marionette: Unsupervised Learning of Motion Skeleton and Latent Dynamics from Volumetric Video
High-Quality Real-Time Rendering Using Subpixel Sampling Reconstruction
On Fair Cost Sharing Games in Machine Learning
Reducing Divergence in Batch Normalization for Domain Adaptation
Implanting Rational Knowledge into Distributed Representation at Morpheme Level
Item Bidding for Combinatorial Public Projects
Instructo-Soar: Learning from Interactive Natural Language Instructions (Video Abstract)
Adversarial Attacks on Event-Based Pedestrian Detectors: A Physical Approach
Confidence-Rated Discriminative Partial Label Learning
AI for Game Spectators: Rise of PPG
A Compiler for Deterministic, Decomposable Negation Normal Form
FedPop: Federated Population-based Hyperparameter Tuning
Enhance Sketch Recognition's Explainability via Semantic Component-Level Parsing
Clipped Matrix Completion: A Remedy for Ceiling Effects
Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems
Performing Inferences over Recursive Data Bases
CM-Extractor: An Application for Automating Medical Quality Measures Abstraction in a Hospital Setting
Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes
Emotion Classification in Microblog Texts Using Class Sequential Rules
SAT-Based Tree Decomposition with Iterative Cascading Policy Selection
Multi-Modal Disordered Representation Learning Network for Description-Based Person Search
PaintTeR: Automatic Extraction of Text Spans for Generating Art-Centered Questions
Combining Runtime Monitoring and Machine Learning with Human Feedback
UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks
A Bidirectional Multi-paragraph Reading Model for Zero-shot Entity Linking
Characterization of Incentive Compatibility of an Ex-ante Constrained Player
Unsupervised Representation Learning With Long-Term Dynamics for Skeleton Based Action Recognition
MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-robust Classifier
Beam Search Optimized Batch Bayesian Active Learning
Detecting Information-Dense Texts in Multiple News Domains
A Multi-Unit Profit Competitive Mechanism for Cellular Traffic Offloading
Biomedical Corpus Filtering: A Weak Supervision Paradigm With Infused Domain Expertise
Sentiment and Emotion-Aware Multi-Modal Complaint Identification
Multi-View Point Registration via Alternating Optimization
Taking the Scenic Route: Automatic Exploration for Videogames
ORES: Open-Vocabulary Responsible Visual Synthesis
Real-World Deep Local Motion Deblurring
PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor
An Empirical Study of CLIP for Text-Based Person Search
Committee Selection with Intraclass and Interclass Synergies
Scalable Nonparametric Tensor Analysis
KALAHash: Knowledge-Anchored Low-Resource Adaptation for Deep Hashing
Time-Critical Scheduling in Stochastic Domains
CLGT: A Graph Transformer for Student Performance Prediction in Collaborative Learning
Sensible Agents: Demonstration of Dynamic Adaptive Autonomy
Predictive Multiplicity in Probabilistic Classification
Predictive Engagement: An Efficient Metric for Automatic Evaluation of Open-Domain Dialogue Systems
PAC Optimal Exploration in Continuous Space Markov Decision Processes
Multi-view Inference for Relation Extraction with Uncertain Knowledge
Running Time Analysis of MOEA/D with Crossover on Discrete Optimization Problem
Planning in Dynamic Environments: Extending HTNs with Nonlinear Continuous Effects
Learning Sorting Networks By Grammars
Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation
Sparse Reject Option Classifier Using Successive Linear Programming
Incentive-Compatible Classification
Attribute and Structure Preserving Graph Contrastive Learning
Generation of Policy-Level Explanations for Reinforcement Learning
Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract)
RareBERT: Transformer Architecture for Rare Disease Patient Identification using Administrative Claims
New Approaches to Optimization and Utility Elicitation in Autonomic Computing
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction