yusuke1997/dblp-id-title huggingface dataset:
Compact HD Map Construction via Douglas-Peucker Point Transformer
A Formal Framework for the Specification, Verification and Synthesis of Diagnosers
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective
Carbon to Diamond: An Incident Remediation Assistant System From Site Reliability Engineers' Conversations in Hybrid Cloud Operations
Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions
Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs
Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection
Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages
Polarization-Aware Low-Light Image Enhancement
Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms
SIGMA: Selective Gated Mamba for Sequential Recommendation
No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation
M-NAS: Meta Neural Architecture Search
Endomorphisms of Classical Planning Tasks
A General Game Description Language for Incomplete Information Games
Doodle to Object: Practical Zero-Shot Sketch-Based 3D Shape Retrieval
Reliable Data Generation and Selection for Low-Resource Relation Extraction
Automatic Generation of Semantic Attachments in FOL
Label Distribution Learning by Exploiting Label Correlations
NLU Framework for Voice Enabling Non-Native Applications on Smart Devices
Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective
Byte-Level Machine Reading Across Morphologically Varied Languages
Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler
A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing
Verification and Repair of Neural Networks
Stochastic Blockmodeling for Online Advertising
Efficient Inference of Optimal Decision Trees
A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications
Topological Mapping for Mobile Robots Using a Combination of Sonar and Vision Sensing
Response Enhanced Semi-supervised Dialogue Query Generation
When Causal Inference Meets Graph Machine Learning
Spatial and Temporal Reasoning in Geologic Map Interpretation
Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection
Visual Perturbation for Text-Based Person Search
Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding
Search Tree Pruning for Progressive Neural Architecture Search (Student Abstract)
A Formal Theory of Multiple Agent Nonmonotonic Reasoning
Programming by Example Using Least General Generalizations
Algorithms for Manipulating Sequential Allocation
Scalable Approaches to Home Health Care Scheduling Problems with Uncertainty
QuickRender: A Photorealistic Procedurally Generated Dataset with Applications to Super Resolution (Student Abstract)
WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning
Hotspotter: A Generalizable Pipeline for Automated Detection of Subtle Volcanic Thermal Features in Satellite Images
Pre-Trained Multi-View Word Embedding Using Two-Side Neural Network
Deep Reinforcement Learning with Time-Scale Invariant Memory
MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation
HACKAR: Helpful Advice for Code Knowledge and Attack Resilience
Investigating Relational State Abstraction in Collaborative MARL
The Function of Time in Cooperative Negotiations
Single-Agent Search in the Presence of Deadlocks
Semantic Consistency Networks for 3D Object Detection
TextGAIL: Generative Adversarial Imitation Learning for Text Generation
Safety Assurance for Systems with Machine Learning Components
Diffusion-based Temporal Word Embeddings
Exploit and Replace: An Asymmetrical Two-Stream Architecture for Versatile Light Field Saliency Detection
Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification
Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference
Embracing Causality in Specifying the Indeterminate Effects of Actions
Deep Generative Model for Mechanical System Configuration Design
Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis
HCVRD: A Benchmark for Large-Scale Human-Centered Visual Relationship Detection
ParZC: Parametric Zero-Cost Proxies for Efficient NAS
Decision-Making Context Interaction Network for Click-Through Rate Prediction
An Algorithm for Multi-Unit Combinatorial Auctions
Revisiting Document-Level Relation Extraction with Context-Guided Link Prediction
Tailor Versatile Multi-Modal Learning for Multi-Label Emotion Recognition
Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path
Uncovering Hidden Structure through Parallel Problem Decomposition
Learning Invariant Deep Representation for NIR-VIS Face Recognition
MCAT: Visual Query-Based Localization of Standard Anatomical Clips in Fetal Ultrasound Videos Using Multi-Tier Class-Aware Token Transformer
The Role of Experience in Development of Expertise
Action Recognition With Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion
Learning Explanation-Based Search Control Rules for Partial Order Planning
Predictive Student Modelling in an Online Reading Platform
Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation
A Reputation-Oriented Reinforcement Learning Approach for Agents in Electronic Marketplaces
Analyzing and Predicting Not-Answered Questions in Community-based Question Answering Services
Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank
Multimodal Deep Generative Models for Remote Medical Applications
QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead
Optimizing Rotorcraft Approach Trajectories with Acoustic and Land Use Models
Clustering Documents Along Multiple Dimensions
Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models
Semantic Evaluation as Constraint Network Consistency
SCRAM: Scalable Collision-avoiding Role Assignment with Minimal-Makespan for Formational Positioning
Abstract Branching for Quantified Formulas
Formalizing Ontological Commitment
Offline Model-Based Optimization via Policy-Guided Gradient Search
Thin-Plate Spline-based Interpolation for Animation Line Inbetweening
Identifying Similar Words and Contexts in Natural Language with SenseClusters
A Fast Algorithm for the Bound Consistency of alldiff Constraints
BSAFusion: A Bidirectional Stepwise Feature Alignment Network for Unaligned Medical Image Fusion
Region-Aware Exposure Consistency Network for Mixed Exposure Correction
WWDS APIs: Application Programming Interfaces for Efficient Manipulation of World WordNet Database Structure
Neural Machine Translation with Gumbel-Greedy Decoding
AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-resolution
Refined Semantic Enhancement towards Frequency Diffusion for Video Captioning
A Critique of Yoav Shoham's Theory of Causal Reasoning
Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis
G2L-CariGAN: Caricature Generation from Global Structure to Local Features
A Reductive Semantics for Counting and Choice in Answer Set Programming
Symbolic Nearest Mean Classifiers
Effective End-User Interaction with Machine Learning
State Projection via AI Planning
Sharp Restricted Isometry Property Bounds for Low-Rank Matrix Recovery Problems with Corrupted Measurements
Distributed Robust Execution of Qualitative State Plan with Chance Constraints
Parametric Engineering Design Using Constraint-Based Reasoning
ResDiff: Combining CNN and Diffusion Model for Image Super-resolution
Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization
On the Convergence of Model Free Learning in Mean Field Games
An EBMC-Based Approach to Selecting Types for Entity Filtering
FDN: Feature Decoupling Network for Head Pose Estimation
Fields of The World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation
Does Speech Enhancement of Publicly Available Data Help Build Robust Speech Recognition Systems? (Student Abstract)
Semantics-Aware Inferential Network for Natural Language Understanding
Metric Multi-View Graph Clustering
Local Conditional Controlling for Text-to-Image Diffusion Models
Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation
Computably Continuous Reinforcement-Learning Objectives Are PAC-Learnable
Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization
FACT: Fused Attention for Clothing Transfer with Generative Adversarial Networks
Five Dimensions of Reasoning in the Wild
Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering
Towards a Neural Conversation Model With Diversity Net Using Determinantal Point Processes
Occlusion-Embedded Hybrid Transformer for Light Field Super-Resolution
Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling
Intelligent Retrieval Planning
Dynamic Interactive Bimodal Hypergraph Networks for Emotion Recognition in Conversations
Patch-level Sounding Object Tracking for Audio-Visual Question Answering
A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System
Consistency of Compositional Generalization Across Multiple Levels
Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation
Bounded Situation Calculus Action Theories and Decidable Verification
Dual-Clustering Maximum Entropy with Application to Classification and Word Embedding
Designing Vaccines that Are Robust to Virus Escape
"Attention" for Detecting Unreliable News in the Information Age
Parallel Best-First Search of State-Space Graphs: A Summary of Results
The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research
Experimentally Evaluating Communicative Strategies: The Effect of the Task
A Unified Framework for Human-Allied Learning of Probabilistic Circuits
Learning Quantitative Knowledge for Multiagent Coordination
Error-Based Knockoffs Inference for Controlled Feature Selection
Generalized Confidence Constraints
Leading Multiple Ad Hoc Teammates in Joint Action Settings
A Distributed Algorithm for Optimising over Pure Strategy Nash Equilibria
Depression Detection via Capsule Networks with Contrastive Learning
Voting Almost Maximizes Social Welfare Despite Limited Communication
PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable RNNs
Aligning WordNet Synsets and Wikipedia Articles
From Non-Negative to General Operator Cost Partitioning
Comprehensive View Embedding Learning for Single-Cell Multimodal Integration
Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions
Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning
PD Disease State Assessment in Naturalistic Environments Using Deep Learning
Edge Detection in Optical Flow Fields
T2KG: An End-to-End System for Creating Knowledge Graph from Unstructured Text
Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags
Exploring Visual Context for Weakly Supervised Person Search
Stochastic Model Predictive Controller for the Integration of Building Use and Temperature Regulation
Learning Representations for Robust Human-Robot Interaction
Intelligent Model Selection for Hillclimbing Search in Computer-Aided Design
Generalizing Constraint Models in Constraint Acquisition
The Semi-random Likelihood of Doctrinal Paradoxes
MotionCraft: Crafting Whole-Body Motion with Plug-and-Play Multimodal Controls
MoEC: Mixture of Expert Clusters
Using Symbolic Learning to Improve Knowledge-Based Neural Networks
Privatizing Constraint Optimization
An Experimental Comparison of Constraint Logic Programming and Answer Set Programming
MOMDPs: A Solution for Modelling Adaptive Management Problems
CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance
Learning to Rank Based on Analogical Reasoning
Squared English Word: A Method of Generating Glyph to Use Super Characters for Sentiment Analysis
From the Lab to the Classroom and Beyond: Extending a Game-Based Research Platform for Teaching AI to Diverse Audiences
A Design Method for Relaxation Labeling Applications
Attention-Aligned Transformer for Image Captioning
Towards Robust Metrics for Concept Representation Evaluation
Symbol Acquisition for Task-Level Planning
Breaking Information Isolation: Accelerating MRI via Inter-sequence Mapping and Progressive Masking
Extending the Regular Restriction of Resolution to Non-Linear Subdeductions
Rule-Based Inference in Large Knowledge Bases
An Intelligent Load Balancing Algorithm Towards Efficient Cloud Computing
Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks
WiFi-Based Human Identification via Convex Tensor Shapelet Learning
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning
Facility Location Games with Entrance Fees
XDC: Adversarial Adaptive Cross Domain Face Clustering (Student Abstract)
Evidence Aware Neural Pornographic Text Identification for Child Protection
The State of the AIIDE Conference in 2017
Solving the Station Repacking Problem
The Bullets Puzzle: A Paper-and-Pencil Minesweeper
A Faster Core Constraint Generation Algorithm for Combinatorial Auctions
Analogical Path Planning
MixedAD: A Scalable Algorithm for Detecting Mixed Anomalies in Attributed Graphs
Cross Temporal Recurrent Networks for Ranking Question Answer Pairs
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach
Unclear Distinctions Lead to Unnecessary Shortcomings: Examining the Rule versus Fact, Role versus Filler, and Type versus Predicate Distinctions from a Connectionist Representation and Reasoning Perspective
Multi-axis Prompt and Multi-dimension Fusion Network for All-in-one Weather-degraded Image Restoration
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification
Enabling E-Mobility: Facility Location for Battery Loading Stations
Reducing Domain Gap in Frequency and Spatial Domain for Cross-Modality Domain Adaptation on Medical Image Segmentation
Actionable Ethics through Neural Learning
WaterDiffusion: Learning a Prior-involved Unrolling Diffusion for Joint Underwater Saliency Detection and Visual Restoration
A General Approach to Fairness with Optimal Transport
Minimizing User Involvement for Accurate Ontology Matching Problems
The BOEING 777: Concurrent Engineering and Digital Pre-Assembly (Abstract)
Computing Least Common Subsumers in Description Logics
Detecting Change Points in the Large-Scale Structure of Evolving Networks
Regroup Median Loss for Combating Label Noise
DetIE: Multilingual Open Information Extraction Inspired by Object Detection
Bayesian Networks Specified Using Propositional and Relational Constructs: Combined, Data, and Domain Complexity
Leveraging Consistent Spatio-Temporal Correspondence for Robust Visual Odometry
Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models
The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory Estimation
How Many Operational Design Domains, Objects, and Events?
A Framework for Ontology-Based Service Selection in Dynamic Environments
Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract)
Mercer Features for Efficient Combinatorial Bayesian Optimization
Local Search with Dynamic-Threshold Configuration Checking and Incremental Neighborhood Updating for Maximum k-plex Problem
Weakly-supervised Temporal Action Localization by Uncertainty Modeling
Texture-Based Heuristics for Scheduling Revisited
RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning
Probabilistic Graphical Models for Boosting Cardinal and Ordinal Peer Grading in MOOCs
Phase-Parametric Policies for Reinforcement Learning in Cyclic Environments
Learning from an Approximate Theory and Noisy Examples
Pathological Effects of Variance on Classification-Based Policy Iteration
FD3D: Exploiting Foreground Depth Map for Feature-Supervised Monocular 3D Object Detection
BoolXAI: Explainable AI Using Expressive Boolean Formulas
Perspectives on Artificial Intelligence Planning
The Utility of Neural Network Test Coverage Measures
Using Stratified Sampling to Improve LIME Image Explanations
PCE-Palm: Palm Crease Energy Based Two-Stage Realistic Pseudo-Palmprint Generation
Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
Supporting Wilderness Search and Rescue with Integrated Intelligence: Autonomy and Information at the Right Time and the Right Place
On Markov Games Played by Bayesian and Boundedly-Rational Players
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users
Ontology Based Semantic Modeling for Chinese Ancient Architectures
MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA
Mapping Users across Networks by Manifold Alignment on Hypergraph
Unsupervised Deep Learning of Mid-Level Video Representation for Action Recognition
Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information
DualNet: Robust Self-Supervised Stereo Matching with Pseudo-Label Supervision
Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal
Integrated Cooperation and Competition in Multi-Agent Decision-Making
Towards Training Probabilistic Topic Models on Neuromorphic Multi-Chip Systems
Feature Decomposition for Reducing Negative Transfer: A Novel Multi-Task Learning Method for Recommender System (Student Abstract)
CTO-SLAM: Contour Tracking for Object-Level Robust 4D SLAM
Closed-Form Gibbs Sampling for Graphical Models with Algebraic Constraints
A Data Complexity Approach to Kernel Selection for Support Vector Machines
Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective
Diagnosing Faults in Electrical Power Systems of Spacecraft and Aircraft
RGBD1K: A Large-Scale Dataset and Benchmark for RGB-D Object Tracking
The Acquisition of Conceptual Structure for the Lexicon
Expecting the Unexpected: Detecting and Reacting to Unplanned-for World States
Amalgamating Knowledge towards Comprehensive Classification
Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction
FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding
From Words to Worth: Newborn Article Impact Prediction with LLM
Augmenting the Diagnostic Power of Flow-Based Approaches to Functional Reasoning
Text Simplification Using Neural Machine Translation
On Odd and Even Cycles in Normal Logic Programs
Multi-Centroid Representation Network for Domain Adaptive Person Re-ID
Temporal Dynamics of User Interests in Tagging Systems
Denoised Maximum Classifier Discrepancy for Source-Free Unsupervised Domain Adaptation
A Deep Ranking Model for Spatio-Temporal Highlight Detection From a 360◦ Video
Spatial-Temporal Knowledge Distillation for Takeaway Recommendation
Design and Experimentation of an Expert System for Programming In-the-Large
Heterogeneous Peer Effects in the Linear Threshold Model
Reinforcement Learning as a Framework for Ethical Decision Making
A Large-Scale Study on Predicting and Contextualizing Building Energy Usage
Incorporating Constituent Syntax for Coreference Resolution
SATNet: Symmetric Adversarial Transfer Network Based on Two-Level Alignment Strategy towards Cross-Domain Sentiment Classification (Student Abstract)
The Distortion of Public-Spirited Participatory Budgeting
Intelligent Agents for Rehabilitation and Care of Disabled and Chronic Patients
Defending against Model Stealing via Verifying Embedded External Features
Fast Inverse Reinforcement Learning with Interval Consistent Graph for Driving Behavior Prediction
HDDL: An Extension to PDDL for Expressing Hierarchical Planning Problems
Optimal Satisficing Tree Searches
Determining Possible and Necessary Winners under Common Voting Rules Given Partial Orders
An Analytical Workflow for Clustering Forensic Images (Student Abstract)
Backbone Cannot Be Trained at Once: Rolling Back to Pre-Trained Network for Person Re-Identification
Appropriate Lengths Between Phalanges of Multijointed Fingers for Stable Grasping
Generalized Planning for the Abstraction and Reasoning Corpus
Planning With Deadlines in Stochastic Domains
Large-Scale Supervised Multimodal Hashing with Semantic Correlation Maximization
ImageSTEAM: Teacher Professional Development for Integrating Visual Computing into Middle School Lessons
A Simple and Effective Method for Incorporating Advice into Kernel Methods
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds
CLNX: Bridging Code and Natural Language for C/C++ Vulnerability-Contributing Commits Identification
Towards Universal Physical Attacks on Single Object Tracking
SuperJunction: Learning-Based Junction Detection for Retinal Image Registration
Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning
Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question Answering
Predicting Parking Availability from Mobile Payment Transactions with Positive Unlabeled Learning
ILPC: Iterative Learning Using Physical Constraints in Real-World Sensing Data
Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models
Qualitative Reasoning for Automated Exploration for Chaos
A Mathematical Programming-Based Approach to Determining Objective Functions from Qualitative and Subjective Comparisons
A Deep Learning Framework for Improving Lameness Identification in Dairy Cattle
Refining Subgames in Large Imperfect Information Games
Efficient Task Sub-Delegation for Crowdsourcing
Sample-Efficient Learning of Mixtures
Unraveling the Influence of Training Data and Internal Structures in Large Language Models for Enhanced Explainability (Student Abstract)
Optimizing Multiple Simultaneous Objectives for Voting and Facility Location
Ordered Completion for Logic Programs with Aggregates
Smart System Design Using Hybrid Models
A Unified Knowledge Based Approach for Sense Disambiguation and Semantic Role Labeling
Adaptive Mixing of Auxiliary Losses in Supervised Learning
Property Mapping: A Simple Technique for Mobile Robot Programming
A Simple and Efficient Tensor Calculus
Cross-Modal Coherence for Text-to-Image Retrieval
Feature Selection for Activity Recognition in Multi-Robot Domains
Multi-Domain Active Learning for Recommendation
WaveFormer: Wavelet Transformer for Noise-Robust Video Inpainting
STLC-KG: A Social Text Steganalysis Method Combining Large-Scale Language Models and Common-Sense Knowledge Graphs
Arc-Consistency and Arc-Consistency Again
Multi-Layer Multi-View Classification for Alzheimer's Disease Diagnosis
Towards Light-Weight and Real-Time Line Segment Detection
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, July 22-26, 2012, Toronto, Ontario, Canada
Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation
Multi-Defender Strategic Filtering Against Spear-Phishing Attacks
A Lower Bound on the Size of Decomposable Negation Normal Form
Computational Aspects of Mechanism Design
Splitting an LPMLN Program
Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation
Integrating Rules and Description Logics by Circumscription
A Syntax-Independent Approach to Forgetting in Disjunctive Logic Programs
Segment beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation
Towards Better Forecasting by Fusing Near and Distant Future Visions
A Practical Algorithm for Finding Optimal Triangulations
Robust Visual Imitation Learning with Inverse Dynamics Representations