yusuke1997/dblp-id-title huggingface dataset:
To Know the Causes of Things: Text Mining for Causal Relations
Towards Answer Set Prolog Based Architectures for Intelligent Agents
Training-Free Image Manipulation Localization Using Diffusion Models
Improving First-Order Optimization Algorithms (Student Abstract)
PTMQ: Post-training Multi-Bit Quantization of Neural Networks
Dual Adversarial Co-Learning for Multi-Domain Text Classification
DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction
Binary Aggregation by Selection of the Most Representative Voters
Encodings of Non-Binary Constraint Satisfaction Problems
Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship
Tell Me What Is Good about This Property: Leveraging Reviews for Segment-Personalized Image Collection Summarization
WLD-Reg: A Data-Dependent Within-Layer Diversity Regularizer
Grounding with Bounds
Pruning Duplicate Nodes in Depth-First Search
AutoBERT-Zero: Evolving BERT Backbone from Scratch
Multi-SpectroGAN: High-Diversity and High-Fidelity Spectrogram Generation with Adversarial Style Combination for Speech Synthesis
Early Safety Warnings for Long-Distance Pipelines: A Distributed Optical Fiber Sensor Machine Learning Approach
Dynamic Representations and Escaping Local Optima: Improving Genetic Algorithms and Local Search
Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning
EvHDR-NeRF: Building High Dynamic Range Radiance Fields with Single Exposure Images and Events
Automated Verification of Propositional Agent Abstraction for Classical Planning via CTLK Model Checking
GENSYNTH: Synthesizing Datalog Programs without Language Bias
Unplugged K-12 AI Learning: Exploring Representation and Reasoning with a Facial Recognition Game
ATMOSPHERE - Automatic Track Mining and Objective Satellite Pattern Hunting System Using Enhanced RBF and EGDLM
Additive versus Multiplicative Clause Weighting for SAT
Fast Omni-Directional Image Super-Resolution: Adapting the Implicit Image Function with Pixel and Semantic-Wise Spherical Geometric Priors
Identify Event Causality with Knowledge and Analogy
Decoupled Attention Network for Text Recognition
Online Influence Maximization with Node-Level Feedback Using Standard Offline Oracles
Fast Planning by Search in Domain Transition Graph
Cooperating with people: the Intelligent Classroom
New Results in Bounded-Suboptimal Search
List Update with Prediction
DiffCLIP: Few-shot Language-driven Multimodal Classifier
Mathematical Programming Formulations to Compute Steady States in Two-Player Extensive-Form Games
Last-iterate Convergence in Regularized Graphon Mean Field Game
Self-Driving Aircraft Towing Vehicles: A Preliminary Report
The Use of Word Sense Disambiguation in an Information Extraction System
Learning Continuous High-Dimensional Models using Mutual Information and Copula Bayesian Networks
Reasoning about What to Plan
Integrity Constraints in OWL
Forecasting Reservoir Inflow via Recurrent Neural ODEs
A* with Bounded Costs
Deep Metric Learning with Self-Supervised Ranking
A Two-Dimensional Topic-Aspect Model for Discovering Multi-Faceted Topics
Temporal Planning with Continuous Change
TRF: Learning Kernels with Tuned Random Features
Cross-modal Multi-task Learning for Multimedia Event Extraction
Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment
DiverSAT: A Novel and Effective Local Search Algorithm for Diverse SAT Problem
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning
Content-free Logical Modification of Large Language Model by Disentangling and Modifying Logic Representation
Scientific Model-Building as Search in Matrix Spaces
Frozen CLIP Transformer Is an Efficient Point Cloud Encoder
Model Watermarking for Image Processing Networks
Proximal Operators for Multi-Agent Path Planning
ConTextual Masked Auto-Encoder for Dense Passage Retrieval
Learning Conceptual-Contextual Embeddings for Medical Text
Robust Domain Adaptation for Machine Reading Comprehension
Learning Conflict-Noticed Architecture for Multi-Task Learning
Transition Constraints for Parallel Planning
Spectral Word Embedding with Negative Sampling
Minimal Contraction of Preference Relations
Improving Semantic Parsing Using Statistical Word Sense Disambiguation (Student Abstract)
Creating Coherence in Federated Non-Negative Matrix Factorization
Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior Explanations
Time-Situated Reasoning within Tight Deadlines and Realistic Space and Computation Bounds
Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning
Geometry of Compositionality
BrainMAP: Learning Multiple Activation Pathways in Brain Networks
Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI
Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback
CircleNet for Hip Landmark Detection
LITMUS Predictor: An AI Assistant for Building Reliable, High-Performing and Fair Multilingual NLP Systems
DATALOG with Constraints - An Answer-Set Programming System
Structural Regression Trees
Incremental Causal Reasoning
FAQ-Learning in Matrix Games: Demonstrating Convergence Near Nash Equilibria, and Bifurcation of Attractors in the Battle of Sexes
Mitigating Artifacts in Real-World Video Super-resolution Models
An Overview of Affective Motivational Collaboration Theory
DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations
Expert Data Augmentation in Imitation Learning (Student Abstract)
Fourier Guided Adaptive Adversarial Augmentation for Generalization in Visual Reinforcement Learning
Automatically Tuning Control Systems for Simulated Legged Robots
HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation
Incomplete Argumentation Frameworks: Properties and Complexity
Triple Classification Using Regions and Fine-Grained Entity Typing
On the Hardness of Training Deep Neural Networks Discretely
An Improved Upper Bound for SAT
Improving Evidential Deep Learning via Multi-Task Learning
Adaptive Beam Search Decoding for Discrete Keyphrase Generation
Knowledge Integration Networks for Action Recognition
Using Reinforcement Learning for Operating Educational Campuses Safely during a Pandemic (Student Abstract)
Adaptive Shared Control for an Intelligent Power Wheelchair
FedST: Federated Style Transfer Learning for Non-IID Image Segmentation
Good Helper Is around You: Attention-Driven Masked Image Modeling
Dual Label-Guided Graph Refinement for Multi-View Graph Clustering
Incomplete Multi-View Multi-Label Classification via Diffusion-Guided Redundancy Removal
Efficient Truthful Scheduling and Resource Allocation through Monitoring
MixedPeds: Pedestrian Detection in Unannotated Videos Using Synthetically Generated Human-Agents for Training
M²N: A Progressive Macro-to-Micro 3D Modeling Scheme for Unveiling Drug-Target Affinity
What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM
Detecting Discontinuities in Case-Bases
Transformed Representations for Convolutional Neural Networks in Diabetic Retinopathy Screening
EnnCore: End-to-End Conceptual Guarding of Neural Architectures
Link Prediction With Personalized Social Influence
Efficiently Monitoring Small Data Modification Effect for Large-Scale Learning in Changing Environment
Time-Saving Tips for Problem Solving with Incomplete Information
Exact Algorithms and Experiments for Hierarchical Tree Clustering
Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes
Robust Mechanisms for Information Elicitation
ParaFormer: Parallel Attention Transformer for Efficient Feature Matching
Visual Tracking via Hierarchical Deep Reinforcement Learning
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification
Towards Epistemic-Doxastic Planning with Observation and Revision
Improved Results for Minimum Constraint Removal
MAMS: Model-Agnostic Module Selection Framework for Video Captioning
Coupling Implicit and Explicit Knowledge for Customer Volume Prediction
Evaluation of Semantic Dependency Labeling Across Domains
Mixup-Induced Domain Extrapolation for Domain Generalization
MAFT: Multimodal Automated Fact-Checking via Textualization
Real-Time Object Detection and Skeletonization for Motion Prediction in Video Streaming
Multi-view Evidential Learning-based Medical Image Segmentation
Optimal Spot-Checking for Improving Evaluation Accuracy of Peer Grading Systems
Distributed Reasoning with Conflicts in a Multi-Context Framework
On Inductive Learning of Causal Knowledge for Problem Solving
Non-Local U-Nets for Biomedical Image Segmentation
Self-Paced Learning for Matrix Factorization
On Improving Resource Allocations by Sharing
Fair Influence Maximization: a Welfare Optimization Approach
Heuristic Planning in Adversarial Dynamic Domains
Exploring Multiple Feature Spaces for Novel Entity Discovery
Social Hierarchical Learning
Modeling Context Aware Dynamic Trust Using Hidden Markov Model
Hierarchical Graph Convolution Network for Traffic Forecasting
DIPD: Gaze-Based Intention Inference in Dynamic Environments
VoC-DL: Revisiting Voice of Customer Using Deep Learning
GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations
Using Multiresolution Learning for Transfer in Image Classification
Locally Convex Global Loss Network for Decision-Focused Learning
Information-Theoretic Generative Clustering of Documents
EEMEFN: Low-Light Image Enhancement via Edge-Enhanced Multi-Exposure Fusion Network
SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data
A Succinct Conceptualization of the Foundations for a Network Organization Paradigm
Learning to Manipulate Unknown Objects in Clutter by Reinforcement
Exploring Motion and Appearance Information for Temporal Sentence Grounding
A General Framework for Sparsity Regularized Feature Selection via Iteratively Reweighted Least Square Minimization
ScatterFormer: Locally-Invariant Scattering Transformer for Patient-Independent Multispectral Detection of Epileptiform Discharges
Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering
Active Feature Selection for the Mutual Information Criterion
Cross-Validated Off-Policy Evaluation
An Incentive Mechanism for Promoting Honesty in E-Marketplaces
Recurrent Stacking of Layers for Compact Neural Machine Translation Models
Sticks, Plates, and Blobs: A Three-Dimensional Object Representation for Scene Analysis
Querying NoSQL with Deep Learning to Answer Natural Language Questions
Argument Theory Change Applied to Defeasible Logic Programming
Multi-View Consistency for Relation Extraction via Mutual Information and Structure Prediction
Prediction-Feedback DETR for Temporal Action Detection
Multi-type Disentanglement without Adversarial Training
Automated Defect Report Generation for Enhanced Industrial Quality Control
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients
Local-to-Global Consistency Implies Tractability of Abduction
A Semantic Importing Approach to Knowledge Reuse from Multiple Ontologies
Visual Language - Let the Product Say What You Want
Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning
Safety Aware Neural Pruning for Deep Reinforcement Learning (Student Abstract)
Plan Inference and Student Modeling in ICAI
Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images
ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning
POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning
Learning To Scale Mixed-Integer Programs
DivShift: Exploring Domain-Specific Distribution Shifts in Large-Scale, Volunteer-Collected Biodiversity Datasets
Sparse MLP for Image Recognition: Is Self-Attention Really Necessary?
Learning to Follow Directions in Street View
Voxel or Pillar: Exploring Efficient Point Cloud Representation for 3D Object Detection
Levenshtein Distance Embedding with Poisson Regression for DNA Storage
Refining the Knowledge Base of a Diagnostic Expert System: An Application of Failure-Driven Learning
Scalable Graph Networks for Particle Simulations
SKATE: A Natural Language Interface for Encoding Structured Knowledge
Learning When to Switch between Skills in a High Dimensional Domain
Generalizing Indexical-Functional Reference
Open-Ended Robotics Exploration Projects for Budding Researchers
Modelling Higher Cognitive Functions with Hebbian Cell Assemblies
Planning Under Time Pressure
Integrating Features and Similarities: Flexible Models for Heterogeneous Multiview Data
On the Undecidability of Probabilistic Planning and Infinite-Horizon Partially Observable Markov Decision Problems
Formal Quality Measures for Predictors in Markov Decision Processes
An Experimental Design Approach for Regret Minimization in Logistic Bandits
Multiple Mean-Payoff Optimization Under Local Stability Constraints
Exploring Hypergraph of Earnings Call for Risk Prediction (Student Abstract)
A Principled Approach to Reasoning About the Specificity ofRules
CcDPM: A Continuous Conditional Diffusion Probabilistic Model for Inverse Design
Multi-Granularity Causal Structure Learning
PopBots: Designing an Artificial Intelligence Curriculum for Early Childhood Education
Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods
Understanding Stochastic Optimization Behavior at the Layer Update Level (Student Abstract)
Building Emotional Characters for Interactive Drama
A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control
Policy Tree: Adaptive Representation for Policy Gradient
Compressed K-Means for Large-Scale Clustering
MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive Summarization
On-Line Case-Based Plan Adaptation for Real-Time Strategy Games
RP-PGD: Boosting Segmentation Robustness with a Region-and-Prototype Based Adversarial Attack
Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health
Identifying Android Malware Using Network-Based Approaches
HeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View Prompting
Are Key-Phrases All That Reviewers Care About? A Comprehensive Benchmarking of Reviewer Matchmaking Systems
Fisher Markets with Social Influence
The Interpretation of Temporal Relations in Narrative
Disguise without Disruption: Utility-Preserving Face De-identification
Generating an Event Timeline About Daily Activities From a Semantic Concept Stream
Localization of Troubles in Telephone Cable Networks
Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery
Domain Generalization Using a Mixture of Multiple Latent Domains
E2HQV: High-Quality Video Generation from Event Camera via Theory-Inspired Model-Aided Deep Learning
Energy-Based Generative Cooperative Saliency Prediction
Using Machine Learning to Improve Research in the Agriculture Industry
'Beach' to 'Bitch': Inadvertent Unsafe Transcription of Kids' Content on YouTube
Alignment of CNN and Human Judgments of Geometric and Topological Concepts
Parallel Index-Based Search Algorithm for Coalition Structure Generation (Student Abstract)
Instance-Sensitive Algorithms for Pure Exploration in Multinomial Logit Bandit
Hierarchical Consistent Contrastive Learning for Skeleton-Based Action Recognition with Growing Augmentations
Semi-supervised Deep Large-Baseline Homography Estimation with Progressive Equivalence Constraint
Model-Lite Case-Based Planning
Multi-Objective Evolution of Heuristic Using Large Language Model
IsisWorld: An Open Source Commonsense Simulator for AI Researchers
On a Noun-Driven Syntactic Paradigm
Answering Questions for an Organization Online
Bidding Strategies for Realistic Multi-Unit Sealed-Bid Auctions
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition
Component Fourier Neural Operator for Singularly Perturbed Differential Equations
Improving Reinforcement Learning Function Approximators via Neuroevolution
MRMLREC: A Two-Stage Approach for Addressing Data Sparsity in MOOC Video Recommendation (Student Abstract)
The AI Technologies of the Philadelphia Area Urban Wireless Network Testbed
Accurate Estimation of Feature Importance Faithfulness for Tree Models
User-Sensitive Text Summarization
Automated Inspection Using Gray-Scale Statistics
Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark
Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection
An Effective Polynomial Technique for Compiling Conditional Effects Away
On the Qualitative Structure of Temporally Evolving Visual Motion Fields
Extension Removal in Abstract Argumentation - An Axiomatic Approach
Clouseau: Generating Communication Protocols from Commitments
Embedded Unsupervised Feature Selection
PBECount: Prompt-Before-Extract Paradigm for Class-Agnostic Counting
Proceedings of the National Conference on Artificial Intelligence, Washington, D.C., USA, August 22-26, 1983
Unsupervised Phrasal Near-Synonym Generation from Text Corpora
Sentence Ordering and Coherence Modeling using Recurrent Neural Networks
Experimenting with Power Default Reasoning
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences
Boosted Generative Models
Resource Allocation Polytope Games: Uniqueness of Equilibrium, Price of Stability, and Price of Anarchy
Learning the Kernel Matrix with Low-Rank Multiplicative Shaping
Automatic Sign Detection with Application to an Assistive Robot
Complexity Results for Blocks-World Planning
Decidability and Complexity of Action-Based Temporal Planning over Dense Time
Multiple-Implementation Testing of Supervised Learning Software
Approximately Optimal Risk-Averse Routing Policies via Adaptive Discretization
Hardness of Learning AES Key (Student Abstract)
Deep One-Class Classification via Interpolated Gaussian Descriptor
DPATCH: An Adversarial Patch Attack on Object Detectors
WiFi CSI Based Temporal Activity Detection via Dual Pyramid Network
From Toxic to Trustworthy: Using Self-Distillation and Semi-supervised Methods to Refine Neural Networks
Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families
A Computational Model of Logic-Based Negotiation
Ultrafast Video Attention Prediction with Coupled Knowledge Distillation
Tri-Ergon: Fine-Grained Video-to-Audio Generation with Multi-Modal Conditions and LUFS Control
SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction
MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models
Automated Data Cleansing through Meta-Learning
Group-Pair Convolutional Neural Networks for Multi-View Based 3D Object Retrieval
Stable Mean Teacher for Semi-supervised Video Action Detection
Geometric Hawkes Processes with Graph Convolutional Recurrent Neural Networks
Adaptive Safe Behavior Generation for Heterogeneous Autonomous Vehicles Using Parametric-Control Barrier Functions (Student Abstract)
Agent Based Intelligent Decluttering Enhancements
Design and Experiment of a Collaborative Planning Service for NetCentric International Brigade Command
Tracking Disease Outbreaks from Sparse Data with Bayesian Inference
Bayesian Abductive Logic Programs
On Consensus in Belief Merging
LoRID: Low-Rank Iterative Diffusion for Adversarial Purification
Rethinking Label Refurbishment: Model Robustness under Label Noise
Dynamic Multi-Agent Task Allocation with Spatial and Temporal Constraints
Multi-Channel Encoder for Neural Machine Translation
Neural Relation Extraction within and across Sentence Boundaries
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles
Toward Mobile Robots Reasoning Like Humans
DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately
Fluxplayer: A Successful General Game Player
A Semantic Decomposition of Defeasible Logics
Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation
Adaptive Localization in a Dynamic WiFi Environment through Multi-view Learning
MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks
Information Sharing Under Costly Communication in Joint Exploration
From Black-box to White-box: Examining Confidence Calibration under different Conditions
Programmatic Reward Design by Example
Acquisition of Abstract Plan Descriptions for Plan Recognition
Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond
Learning from Spatial Overlap
Controlling State-Space Abstraction in Bayesian Networks
Learning Others' Intentional Models in Multi-Agent Settings Using Interactive POMDPs
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks
Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach
StableVC: Style Controllable Zero-Shot Voice Conversion with Conditional Flow Matching
Mutual Nearest Neighbor Contrast and Hybrid Prototype Self-Training for Universal Domain Adaptation
Mechanisms for Efficiency in Blackboard Systems
Algorithmic and Human Teaching of Sequential Decision Tasks
LVRNet: Lightweight Image Restoration for Aerial Images under Low Visibility (Student Abstract)
When Shadow Removal Meets Intrinsic Image Decomposition: A Joint Learning Framework Using Unpaired Data
Cross-Layer Distillation with Semantic Calibration
Attention Bootstrapping for Multi-Modal Test-Time Adaptation
Semantics-Aligned Representation Learning for Person Re-Identification
Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria
Multi-Mode Tensor Space Clustering Based on Low-Tensor-Rank Representation
Label Error Correction and Generation through Label Relationships
Sentence-level Aggregation of Lexical Metrics Correlates Stronger with Human Judgements than Corpus-level Aggregation
Learning Spatio-Temporal Features With Partial Expression Sequences for On-the-Fly Prediction
An Extendable Toolkit for Managing Quality of Human-Based Electronic Services
Approaches to Multi-Robot Exploration and Localization
Logics for Sizes with Union or Intersection
Decoupled Contrastive Multi-View Clustering with High-Order Random Walks
PersonaMagic: Stage-Regulated High-Fidelity Face Customization with Tandem Equilibrium
Approximating the Sum Operation for Marginal-MAP Inference
Intelligent OPC Engineer Assistant for Semiconductor Manufacturing
NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency
Learning Large-Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa
Cross-lingual Propagation for Morphological Analysis
Image Classification Using Deep Learning and Prior Knowledge
AdaCM: Adaptive ColorMLP for Real-Time Universal Photo-Realistic Style Transfer
Improving Distantly Supervised Relation Extraction by Natural Language Inference
SSE-SAM: Balancing Head and Tail Classes Gradually Through Stage-Wise SAM
Interactive Knowledge Validation and Query Refinement in CBR
Multi-Scale Face Restoration With Sequential Gating Ensemble Network
Unsupervised Discovery of Fine-Grained Topic Clusters in Twitter Posts
A Recursive Algorithm for Projected Model Counting
Distributed Multiplicative Weights Methods for DCOP
Associating Natural Language Comment and Source Code Entities
Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective
Asynchronous Event Processing with Local-Shift Graph Convolutional Network
Convex Kernelized Sorting
Is Your Data Relevant?: Dynamic Selection of Relevant Data for Federated Learning
Image Saliency Prediction in Transformed Domain: A Deep Complex Neural Network Method
Planning with Explanations for Finding Desired Meeting Points on Graphs
Learning to Write Stories with Thematic Consistency and Wording Novelty
Fine-Grained Prototypes Distillation for Few-Shot Object Detection
An Intelligent Control Architecture for Accelerator Beamline Tuning
Semi-Automated Annotation of Discrete States in Large Video Datasets