yusuke1997/dblp-id-title huggingface dataset:
Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems
SDAS: Semantic Data Acquisition System for Minimizing Redundancy and Maximizing Diversity
Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-Supervised Action Recognition
Enhancing Constraint-Based Multi-Objective Combinatorial Optimization
The Temporal Analysis of Chisholm's Paradox
g-Planner: Real-time Motion Planning and Global Navigation using GPUs
Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization
Evaluating AI Red Teaming's Readiness to Address Environmental Harms: A Thematic Analysis of LLM Discourse
Topology Distance: A Topology-Based Approach for Evaluating Generative Adversarial Networks
A Semidefinite Relaxation Based Branch-and-Bound Method for Tight Neural Network Verification
Self-Supervised Pretraining for RGB-D Salient Object Detection
ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction
Convex Co-Embedding for Matrix Completion with Predictive Side Information
Logic for Automated Mechanism Design - A Progress Report
Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems
Learning with Imprecise Classes, Rare Instances, and Complex Relationships
Control Model Learning for Whole-Body Mobile Manipulation
Findings of Memotion 2: Sentiment and Emotion Analysis of Memes (short paper)
An Efficient Branch-and-Bound Algorithm Based on MaxSAT for the Maximum Clique Problem
Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs
Target-Dependent Churn Classification in Microblogs
Qualitative Decision Theory
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation
Societal Grounding Is Essential to Meaningful Language Use
Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset
What if We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks
TRACER: Extreme Attention Guided Salient Object Tracing Network (Student Abstract)
Integrating Natural Language, Knowledge Representation and Reasoning, and Analogical Processing to Learn by Reading
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations
Description Logics for Multi-Issue Bilateral Negotiation with Incomplete Information
Learning Planning Domains from Non-redundant Fully-Observed Traces: Theoretical Foundations and Complexity Analysis
Eliciting Kemeny Rankings
Evolving Neural Networks to Focus Minimax Search
Solving and Explaining Analogy Questions Using Semantic Networks
Towards Efficient and Intelligent Laser Weeding: Method and Dataset for Weed Stem Detection
Text-DIAE: A Self-Supervised Degradation Invariant Autoencoder for Text Recognition and Document Enhancement
Computational Visual Ceramicology: Matching Image Outlines to Catalog Sketches
Safe Online Convex Optimization with Unknown Linear Safety Constraints
Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training
DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets
Omni-Kernel Network for Image Restoration
Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization
Learning Segmentation Masks with the Independence Prior
Representing the Unification of Text Featurization using a Context-Free Grammar
Integrating Multiple Learning Components through Markov Logic
Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification
A Dependency-Based Neural Reordering Model for Statistical Machine Translation
The Common Origins of Language and Action
Combining Bounding Boxes and JPS to Prune Grid Pathfinding
Apprenticeship Scheduling for Human-Robot Teams
CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation
Do Androids Dream of Electric Fences? Safety-Aware Reinforcement Learning with Latent Shielding
EFANet: Exchangeable Feature Alignment Network for Arbitrary Style Transfer
Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction
An Entorhinal-Hippocampal Model for Simultaneous Cognitive Map Building
Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models
Robust and Adaptive Deep Learning via Bayesian Principles
LIBA: Language Instructed Multi-granularity Bridge Assistant for 3D Visual Grounding
First-Order Logic with Counting for General Game Playing
Neural Speech Synthesis with Transformer Network
Unstructured Audio Classification for Environment Recognition
A Pioneering Neural Network Method for Efficient and Robust Fuel Sloshing Simulation in Aircraft
FlowPolicy: Enabling Fast and Robust 3D Flow-Based Policy via Consistency Flow Matching for Robot Manipulation
Exploiting Causal Independence Using Weighted Model Counting
CHRONOS: A Schema-Based Event Understanding and Prediction System
Machine Learning of User Profiles: Representational Issues
The Value of Ignorance about the Number of Players
A Model of Poetic Comprehension
Advice Generation from Observed Execution: Abstract Markov Decision Process Learning
Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement
Last-Mile Restoration for Multiple Interdependent Infrastructures
A First-Order Logic Based Framework for Verifying Simulations
CMCGAN: A Uniform Framework for Cross-Modal Visual-Audio Mutual Generation
The Branching Factor of Regular Search Spaces
Classification of Resting State fMRI Datasets Using Dynamic Network Clusters
UNISON: Unpaired Cross-Lingual Image Captioning
Closeness Centrality for Networks with Overlapping Community Structure
COACH - Cumulative Online Algorithm for Classification of Handwriting Deficiencies
Spatially Regularized Streaming Sensor Selection
Hierarchical Reinforcement Learning for Open-Domain Dialog
MoMusic: A Motion-Driven Human-AI Collaborative Music Composition and Performing System
Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds
Shapley Q-Value: A Local Reward Approach to Solve Global Reward Games
Few-Shot Lifelong Learning
Distributed Stochastic Nested Optimization for Emerging Machine Learning Models: Algorithm and Theory
The Unusual Suspects: Deep Learning Based Mining of Interesting Entity Trivia from Knowledge Graphs
Integrated Systems for Inducing Spatio-Temporal Process Models
Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration
Core-Guided Binary Search Algorithms for Maximum Satisfiability
Secretary Matching with Vertex Arrivals and No Rejections
Exploring the Efficacy of Generic Drugs in Treating Cancer
Inconsistent Cores for ASP: The Perks and Perils of Non-monotonicity
Decision Making in Uncertain Real-World Domains Using DT-Golog
The Analysis of Deep Neural Networks by Information Theory: From Explainability to Generalization
Get IT Scored Using AutoSAS - An Automated System for Scoring Short Answers
Attacking Transformers with Feature Diversity Adversarial Perturbation
Grounded Multi-Hop VideoQA in Long-Form Egocentric Videos
Semantic 3D-Aware Portrait Synthesis and Manipulation Based on Compositional Neural Radiance Field
Living Without Beth and Craig: Definitions and Interpolants in Description Logics with Nominals and Role Inclusions
Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model
MultiSum: A Multi-Facet Approach for Extractive Social Summarization Utilizing Semantic and Sociological Relationships
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model
Landmark Generation in HTN Planning
Disarmament Games With Resource
Word Embedding as Maximum A Posteriori Estimation
Enhancing Question Generation through Diversity-Seeking Reinforcement Learning with Bilevel Policy Decomposition
Robust Optimization over Multiple Domains
Hierarchical Latent Class Models for Cluster Analysis
A Logic of Deliberation
Transport Logistics Planning with Service-Level Constraints
Structured Kernel-Based Reinforcement Learning
Improving Clinical Document Understanding on COVID-19 Research with Spark NLP
Semantic-Enhanced Image Clustering
Entailment Relation Aware Paraphrase Generation
Open-Universe Weighted Model Counting
Analyzing and Improving the Use of the FastMap Embedding in Pathfinding Tasks
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels
On Reducing Parallel Circumscription
Back to the Past: Ancient Games as a New AI Frontier
Knowledge-Based Morphological Classification of Galaxies from Vision Features
TF-CLIP: Learning Text-Free CLIP for Video-Based Person Re-identification
Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective
Towards Better Interpretability in Deep Q-Networks
Learning Personalized Attribute Preference via Multi-Task AUC Optimization
Identifying Used Methods and Datasets in Scientific Publications
Entropy Regularization for Population Estimation
Lookahead Pathology in Real-Time Path-Finding
CLEP: A Novel Contrastive Learning Method for Evolutionary Reentrancy Vulnerability Detection
GRET: Global Representation Enhanced Transformer
An Effective and Robust Method for Short Text Classification
Constraint-Based Generalization: Learning Game-Playing Plans From Single Examples
Trust, Influence and Reputation Management Based on Human Reasoning
Interesting Instance Discovery in Multi-Relational Data
Proactive Dynamic DCOPs
Wasserstein Graph Distance Based on L1-Approximated Tree Edit Distance between Weisfeiler-Lehman Subtrees
Patch Proposal Network for Fast Semantic Segmentation of High-Resolution Images
Local Search for Statistical Counting
Experimental Results on the Application of Satisfiability Algorithms to Scheduling Problems
Using Wiktionary for Computing Semantic Relatedness
Dominance and Equivalence for Sensor-Based Agents
Targeted Negative Campaigning: Complexity and Approximations
ISPDiffuser: Learning RAW-to-sRGB Mappings with Texture-Aware Diffusion Models and Histogram-Guided Color Consistency
Single or Multiple? Combining Word Representations Independently Learned from Text and WordNet
Elo Ratings for Structural Credit Assignment in Multiagent Systems
Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection
Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction
Extracting Student Models for Intelligent Tutoring Systems
Representation of Task-Specific Knowledge in a Gracefully Interacting User Interface
A Rearrangement Search Strategy for Determining Propositional Satisfiability
How Many Pairwise Preferences Do We Need to Rank a Graph Consistently?
Tailoring Local Search for Partial MaxSAT
Neural Criticality: Validation of Convolutional Neural Networks
Weighted Bandits or: How Bandits Learn Distorted Values That Are Not Expected
BEST: BERT Pre-training for Sign Language Recognition with Coupling Tokenization
Tree-Structured Neural Machine for Linguistics-Aware Sentence Generation
Lifted Generative Parameter Learning
On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters
A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning
Urban Dreams of Migrants: A Case Study of Migrant Integration in Shanghai
Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers
Learning Statistical Scripts with LSTM Recurrent Neural Networks
Coreference Graph Guidance for Mind-Map Generation
Separating the Wheat from the Chaff: Spatio-Temporal Transformer with View-interweaved Attention for Photon-Efficient Depth Sensing
Linear-Time Learning on Distributions with Approximate Kernel Embeddings
A High Probability Safety Guarantee for Shifted Neural Network Surrogates
Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling
Exploiting Monotonicity in Interval Constraint Propagation
Random Forests for Opponent Hand Estimation in Gin Rummy
Exponential Hardness of Optimization from the Locality in Quantum Neural Networks
Tracking and Identifying International Propaganda and Influence Networks Online
An Empirical Study of Greedy Local Search for Satisfiability Testing
A Negotiation Protocol for Agents with Nonlinear Utility Functions
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm
Red-Black Relaxed Plan Heuristics
Context-Aware Zero-Shot Recognition
Holistic Semantic Representation for Navigational Trajectory Generation
Shape Prior Guided Attack: Sparser Perturbations on 3D Point Clouds
A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation
EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating Radar
Column Sampling Based Discrete Supervised Hashing
Local Context Sparse Coding
Mechanism Design for Federated Sponsored Search Auctions
DOROTHY: Enhancing Bidirectional Communication between a 3D Programming Interface and Mobile Robots
A Graph Theoretical Foundation for Integrating RDF Ontologies
Flow-Event Autoencoder: Event Stream Object Recognition Dataset Generation with Arbitrary High Temporal Resolution
A Simulation-Based Tutor that Reasons about Multiple Agents
ColNet: Embedding the Semantics of Web Tables for Column Type Prediction
CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting
EWGAN: Entropy-Based Wasserstein GAN for Imbalanced Learning
C2PD: Continuity-Constrained Pixelwise Deformation for Guided Depth Super-Resolution
Extending Cognitive Architecture with Episodic Memory
Store and Fetch Immediately: Everything Is All You Need for Space-Time Video Super-resolution
Midas: Microcluster-Based Detector of Anomalies in Edge Streams
Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling
Traffic Shaping in E-Commercial Search Engine: Multi-Objective Online Welfare Maximization
Towards Voice Reconstruction from EEG during Imagined Speech
Dense Projection for Anomaly Detection
ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement
CASTER: Predicting Drug Interactions with Chemical Substructure Representation
Automatic Programming of Behavior-Based Robots Using Reinforcement Learning
Scheduling in Visual Fog Computing: NP-Completeness and Practical Efficient Solutions
Optimizing Discount and Reputation Trade-Offs in E-Commerce Systems: Characterization and Online Learning
Adaptive Energy Management for Self-Sustainable Wearables in Mobile Health
Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity
Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning
Generalized Singular Value Thresholding
Can Quadrotors Succeed as an Educational Platform?
Design Principle Transfer in Neural Architecture Search via Large Language Models
A Hybrid Framework for Representing Uncertain Knowledge
Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders
Learning Not to Learn: Nature versus Nurture In Silico
Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability
Self-Reconfiguration in Modular Robots Using Coalition Games with Uncertainty
Sparse Cross-Scale Attention Network for Efficient LiDAR Panoptic Segmentation
Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models
Learning Search Control for Constraint-Based Scheduling
Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security
Coalitional Strategic Behaviour in Collective Decision Making
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization
Student Knowledge Prediction for Teacher-Student Interaction
CAST: Middleware for Memory-Based Architectures
Hierarchical Reasoning about Inequalities
Personalized Alert Agent for Optimal User Performance
Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations
Disentangling the Benefits of Self-Supervised Learning to Deployment-Driven Downstream Tasks of Satellite Images (Student Abstract)
The Heads Hypothesis: A Unifying Statistical Approach Towards Understanding Multi-Headed Attention in BERT
BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials
ExPERT: Modeling Human Behavior Under External Stimuli Aware Personalized MTPP
AutoLTS: Automating Cycling Stress Assessment via Contrastive Learning and Spatial Post-processing
EDDIE: An Embodied AI System for Research and Intervention for Individuals with ASD
Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending Against Poisoning Attacks
Analytic Solution of Qualitative Differential Equations
Engineering Pro-Sociality With Autonomous Agents
SGAP-Net: Semantic-Guided Attentive Prototypes Network for Few-Shot Human-Object Interaction Recognition
A System for the Semantic Interpretation of Unrestricted Domains using WordNet
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning
Moral Uncertainty and the Problem of Fanaticism
Incremental, Informal Program Acquisition
Building Classifiers Using Bayesian Networks
Efficient Codes for Inverse Dynamics During Walking
Less Is More: Pay Less Attention in Vision Transformers
The Epistemology of Physical System Modeling
On Competence and Meta-Knowledge
An Extended Protocol for Multiple-Issue Concurrent Negotiation
CyberPal.AI: Empowering LLMs with Expert-Driven Cybersecurity Instructions
Query-Aware Quantization for Maximum Inner Product Search
Query-Memory Re-Aggregation for Weakly-supervised Video Object Segmentation
Reconstructing a Visible Surface
Proxy Graph Matching with Proximal Matching Networks
An Event-Based Framework for Process Inference
Consequentialist Conditional Cooperation in Social Dilemmas with Imperfect Information (Short Workshop Version)
Neural Amortized Inference for Nested Multi-Agent Reasoning
Estimating Search Tree Size
Meta-Level Control Through Fault Detection and Diagnosis
Sensor-Based Activity Recognition via Learning From Distributions
DASZL: Dynamic Action Signatures for Zero-shot Learning
OmniSR: Shadow Removal Under Direct and Indirect Lighting
LIQUID: A Framework for List Question Answering Dataset Generation
Multi-Type Urban Crime Prediction
Domain Generalization with Vital Phase Augmentation
A Model-Agnostic Heuristics for Selective Classification
TrEP: Transformer-Based Evidential Prediction for Pedestrian Intention with Uncertainty
Altruism in Facility Location Problems
FastSLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem
Towards Detailed Text-to-Motion Synthesis via Basic-to-Advanced Hierarchical Diffusion Model
Is There any Need for Domain-Dependent Control Information?
M3Net: Efficient Time-Frequency Integration Network with Mirror Attention for Audio Classification on Edge
Generating Application-Specific Benchmark Models for Complex Systems
A Trust Model for Supply Chain Management
SC2Net: Sparse LSTMs for Sparse Coding
Semantic Interpretation of Nominalizations
Barely Supervised Learning for Graph-Based Fraud Detection
AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction
Efficient Device Scheduling with Multi-Job Federated Learning
Investigating Scientific Misinformation Using Different Modes of Learning
Longitudinal Citation Prediction using Temporal Graph Neural Networks
Using Response Functions to Measure Strategy Strength
Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning
Structural Causal Bandits with Non-Manipulable Variables
Realistic Noise Synthesis with Diffusion Models
Training with "Paraphrasing the Original Text" Teaches LLM to Better Retrieve in Long-Context Tasks
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning
Robustness Guarantees for Bayesian Inference with Gaussian Processes
ProgressiveMotionSeg: Mutually Reinforced Framework for Event-Based Motion Segmentation
Link Prediction between Group Entities in Knowledge Graphs (Student Abstract)
VASR: Visual Analogies of Situation Recognition
Learning with Unsure Responses
Anytime Active Learning
Better Be Lucky than Good: Exceeding Expectations in MDP Evaluation
Simplified Lattice Models for Protein Structure Prediction: How Good Are They?
Fine-Grained Semantic Conceptualization of FrameNet
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems
Class-Based Construction of a Verb Lexicon
Comparison and Analysis of Deep Audio Embeddings for Music Emotion Recognition
Physical Marker: Revealing Invisible Hyperlinks Hidden in Printed Trademarks
AsyncDSB: Schedule-Asynchronous Diffusion Schrödinger Bridge for Image Inpainting
Extracting Generalizable Spatial Features from Smart Phones Datasets
Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees
Networked Distributed POMDPs: A Synthesis of Distributed Constraint Optimization and POMDPs
Improved Knowledge Distillation via Teacher Assistant
DCC: Differentiable Cardinality Constraints for Partial Index Tracking
MEPNet: Medical Entity-Balanced Prompting Network for Brain CT Report Generation
Bounded Rationality of Restricted Turing Machines
Yet at Memotion 2.0 2022 : Hate Speech Detection Combining BiLSTM and Fully Connected Layers (short paper)
Justicia: A Stochastic SAT Approach to Formally Verify Fairness
Learning Saliency-Free Model with Generic Features for Weakly-Supervised Semantic Segmentation
Understanding the Disharmony between Weight Normalization Family and Weight Decay
The Meta-Turing Test
Can Adversarial Networks Make Uninformative Colonoscopy Video Frames Clinically Informative? (Student Abstract)
Automated Model Selection for Simulation
Automatic Extraction of Data Points and Text Blocks from 2-Dimensional Plots in Digital Documents
Enhancing Low-Resource Relation Representations through Multi-View Decoupling
Model-Agnostic Fits for Understanding Information Seeking Patterns in Humans
Region-Based Message Exploration over Spatio-Temporal Data Streams
Eliciting Bid Taker Non-price Preferences in (Combinatorial) Auctions
SMR-Net: Semantic-Guided Mutually Reinforcing Network for Cross-Modal Image Fusion and Salient Object Detection
Deep Belief Nets as Function Approximators for Reinforcement Learning
Using Neural Networks in Agent Teams to Speed Up Solution Discovery for Hard Multi-Criteria Problems
Sherlock: Scalable Fact Learning in Images
CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction
A Virtual Driving Instructor That Generates Personalized Driving Lessons Based on Student Skill Level
Branching Storylines in Virtual Reality Environments for Leadership Development
UFDA: Universal Federated Domain Adaptation with Practical Assumptions
Polyper: Boundary Sensitive Polyp Segmentation
Ramp Activity Expert System for Scheduling and Co-ordination at an Airport
Memory-Gated Recurrent Networks
Improving Transferability for Cross-Domain Trajectory Prediction via Neural Stochastic Differential Equation
DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving Scenes
Goal-Clobbering Avoidance in Non-Linear Planners
Keyword-Guided Neural Conversational Model
Fully Attentional Network for Semantic Segmentation
Sum of Squares Circuits
AI Support for Building Cognitive Models
An Efficient Relevance Criterion for Mechanical Theorem Proving
Stabilizing Environments to Facilitate Planning and Activity: An Engineering Argument
Top-one Recommendation with Anonymous User Behaviors (Student Abstract)
In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning
Goal Recognition in Incomplete Domain Models
Comments on Kornfeld's Equality for Prolog: E-Unification as a Mechanism for Augmenting the Prolog Search Strategy
Artificial Intelligence at the Service of Society to Analyse Human Arguments
Stereo Vision Conversion from Planar Videos Based on Temporal Multiplane Images
Provably Convergent Federated Trilevel Learning
Explaining Watson: Polymath Style
Agents that Learn to Explain Themselves