yusuke1997/dblp-id-title huggingface dataset:
Learning Competitive and Discriminative Reconstructions for Anomaly Detection
Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks
Some Philosophical Problems with Formal Learning Theory
Equivariant Message Passing Neural Network for Crystal Material Discovery
Generating Safe Assumption-Based Plans for Partially Observable, Nondeterministic Domains
GPU-Accelerated Parallel Bilevel Optimization for Roubst 6G ISAC
Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search
Mechanism Design with Predicted Task Revenue for Bike Sharing Systems
On the Conversion between Non-Binary and Binary Constraint Satisfaction Problems
Consistent Knowledge Discovery from Evolving Ontologies
AdjudiPro® 2.0
Constrained Classification on Structured Data
Multi-Label Learning by Instance Differentiation
A Multi-Agent Simulator for Teaching Police Allocation
Heterogeneous Transfer Learning for Image Classification
Learning Broadcast Protocols
Toward A Reinforcement-Learning-Based System for Adjusting Medication to Minimize Speech Disfluency
Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations
A Robotic Weight Loss Coach
Hybrid Curriculum Learning for Emotion Recognition in Conversation
Balancing Spreads of Influence in a Social Network
Bidirectional Temporal Plan Graph: Enabling Switchable Passing Orders for More Efficient Multi-Agent Path Finding Plan Execution
A Closer Look at Curriculum Adversarial Training: From an Online Perspective
Learning towards Selective Data Augmentation for Dialogue Generation
Responding to the Call: Exploring Automatic Music Composition Using a Knowledge-Enhanced Model
Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction
Is Each Layer Non-trivial in CNN? (Student Abstract)
Automated Data Extraction Using Predictive Program Synthesis
Unleashing the Temporal-Spatial Reasoning Capacity of GPT for Training-Free Audio and Language Referenced Video Object Segmentation
Bi-Directional Generation for Unsupervised Domain Adaptation
Geometry Sharing Network for 3D Point Cloud Classification and Segmentation
Past and Future of DL-Lite
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
Improving Retrieval Augmented Language Model with Self-Reasoning
Path Ranking with Attention to Type Hierarchies
A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks
Risk-Averse Strategies for Security Games with Execution and Observational Uncertainty
Is a Picture Worth a Thousand Words? A Deep Multi-Modal Architecture for Product Classification in E-Commerce
Joint Super-Resolution and Alignment of Tiny Faces
Stochastic Contextual Bandits with Long Horizon Rewards
A Process for Evaluating Tree-Consistency
An Automatic Method for Generating Sense Tagged Corpora
Ladder Loss for Coherent Visual-Semantic Embedding
Classifier-Agnostic Saliency Map Extraction
Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation
CMRadar: A Personal Assistant Agent for Calendar Management
Coupled Collaborative Filtering for Context-aware Recommendation
Small Language Model Makes an Effective Long Text Extractor
Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations
Tractable Interval Temporal Propositional and Description Logics
Comparative Simulation
Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process
Suspicion-Free Adversarial Attacks on Clustering Algorithms
MFTN: Multi-Level Feature Transfer Network Based on MRI-Transformer for MR Image Super-resolution
Combining Circumscription and Modal Logic
Learning Program Synthesis for Integer Sequences from Scratch
Biologically Inspired Design: A New Paradigm for AI Research on Computational Sustainability?
Fast Algorithm for Non-Stationary Gaussian Process Prediction
Combining Machine Learning and Human Experts to Predict Match Outcomes in Football: A Baseline Model
Constructing the Correct Diagnosis When Symptoms Disappear
Game-Theoretic Threat Screening and Deceptive Techniques for Cyber Defense
Artificial Intelligence for Future Presidents: Teaching AI Literacy to Everyone
Making Autonomous Intersection Management Backwards-Compatible
Differentially Private Link Prediction with Protected Connections
Unsupervised Learning of Geometry From Videos With Edge-Aware Depth-Normal Consistency
Towards a Virtual Parallel Inference Engine
Cost-Optimal Planning by Self-Interested Agents
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks
Excluding the Impossible for Open Vocabulary Semantic Segmentation
What Does That ?-Block Do? Learning Latent Causal Affordances From Mario Play Traces
Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows
Gene Regulatory Network Inference as Relaxed Graph Matching
On Generalized Interval Calculi
Delving into Probabilistic Uncertainty for Unsupervised Domain Adaptive Person Re-identification
A Generalized Idiom Usage Recognition Model Based on Semantic Compatibility
RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention
Unbalanced CO-optimal Transport
Conditional Backdoor Attack via JPEG Compression
Sampling Methods for Action Selection in Influence Diagrams
Improving GNN Calibration with Discriminative Ability: Insights and Strategies
Nearest Neighbor Classifier Embedded Network for Active Learning
Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective
Doing Tasks with Multiple Mini-Robots
Zero-Shot Face-Based Voice Conversion: Bottleneck-Free Speech Disentanglement in the Real-World Scenario
Probabilistic Ensemble of Collaborative Filters
Graph Traversal Methods for Reasoning in Large Knowledge-Based Systems
CP-Guard: Malicious Agent Detection and Defense in Collaborative Bird's Eye View Perception
Finding and Certifying (Near-)Optimal Strategies in Black-Box Extensive-Form Games
JEN-1 Composer: A Unified Framework for High-Fidelity Multi-Track Music Generation
Informative Subspace Learning for Counterfactual Inference
InfoMax Control for Acoustic Exploration of Objects by a Mobile Robot
Monitoring, Prediction, and Fault Isolation in Dynamic Physical Systems
Don't Predict Counterfactual Values, Predict Expected Values Instead
Solving Math Word Problems concerning Systems of Equations with GPT-3
Optimal Efficient Learning Equilibrium: Imperfect Monitoring in Symmetric Games
Efficient Object Detection via Adaptive Online Selection of Sensor-Array Elements
The Synergy of Music Theory and Al: Learning Multi-Level Expressive Interpretation
A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings
Probabilistic Propositional Planning: Representations and Complexity
Temporal Planning with Temporal Metric Trajectory Constraints
Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis
Fast Query Recommendation by Search
Joint Learning of Evolving Links for Dynamic Network Embedding
Formal Synthesis of Barrier Certificates Using Fourier Kolmogorov-Arnold Network
Improving Request Compliance through Robot Affect
Improving Microblog Retrieval from Exterior Corpus by Automatically Constructing Microblogging Corpus
Feature Importance Explanations for Temporal Black-Box Models
Land Deformation Prediction via Slope-Aware Graph Neural Networks
A Game Theoretic Approach to Ad-Hoc Coalitions in Human-Robot Societies
Suitability of Message Passing Computers for Implementing Production Systems
Higher-Order Multi-Layer Community Detection
Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets
Exact Clustering via Integer Programming and Maximum Satisfiability
Fairness-Aware Relational Learning and Inference
Bayesian Network Models for Generation of Crisis Management Training Scenarios
McOmet: Multimodal Fusion Transformer for Physical Audiovisual Commonsense Reasoning
Evaluating the Stability of Non-Adaptive Trading in Continuous Double Auctions: A Reinforcement Learning Approach
Disentangle Nighttime Lens Flares: Self-supervised Generation-based Lens Flare Removal
DUSTED: Dual-Attention Enhanced Spatial Transcriptomics Denoiser
SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models
QuerioCity: Accessing the Information of a City
Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning
An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain
Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer
Lifted Probabilistic Inference for Asymmetric Graphical Models
An Explainable Forecasting System for Humanitarian Needs Assessment
Adaptive Optimization Framework for Control of Multi-Agent Systems
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data
Deep Representation Learning with Target Coding
SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies
Probabilistic Attributed Hashing
G-VEval: A Versatile Metric for Evaluating Image and Video Captions Using GPT-4o
StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts
Time-Quality Tradeoffs in Reallocative Negotiation with Combinatorial Contract Types
Efficient and Scalable Multi-Task Regression on Massive Number of Tasks
Self-Supervised Video Representation Learning via Latent Time Navigation
Ordinal Regression via Manifold Learning
Preference-Based Search and Multi-Criteria Optimization
TexFit: Text-Driven Fashion Image Editing with Diffusion Models
CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models
Structured Possibilistic Planning Using Decision Diagrams
Relational Learning of Pattern-Match Rules for Information Extraction
A Strategy-Proof Online Auction with Time Discounting Values
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
Data Imputation with Iterative Graph Reconstruction
Motion Deblurring via Spatial-Temporal Collaboration of Frames and Events
Web-based Platform for K-12 AI Education in China
Inferring State Constraints for Domain-Independent Planning
PANDORA: A Program for Doing Commonsense Planning in Complex Situations
TabGLM: Tabular Graph Language Model for Learning Transferable Representations Through Multi-Modal Consistency Minimization
Quantized Feature Distillation for Network Quantization
Online Inference-Rule Learning from Natural-Language Extractions
Citation Intent Classification Through Weakly Supervised Knowledge Graphs
RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal
Probing the SpanBERT Architecture to interpret Scientific Domain Adaptation Challenges for Coreference Resolution
Temporal Reasoning with Qualitative and Quantitative Information about Points and Durations
Non-Convex Tensor Recovery from Local Measurements
Quantifying the Inductive Bias in Concept Learning (Extended Abstract)
DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media
BN-Tools: A Software Toolkit for Experimentation in BBNs
Curing Anomalous Extensions
Energy Efficient Streaming Time Series Classification with Attentive Power Iteration
Learning Meta Knowledge for Database Checking
On the Depth of Deep Neural Networks: A Theoretical View
Refine then Classify: Robust Graph Neural Networks with Reliable Neighborhood Contrastive Refinement
Multi-Agent/Robot Deep Reinforcement Learning with Macro-Actions (Student Abstract)
Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling
Comparison Lift: Bandit-based Experimentation System for Online Advertising
Using Semantic Web Technologies for Policy Management on the Web
Synthesis from Satisficing and Temporal Goals
A Comparison of Reinforcement Learning Methods for Automatic Guided Vehicle Scheduling
Resource Constrained Pathfinding with Enhanced Bidirectional A* Search
StarPlan II: Evolution of an Expert System
Welfare-Optimal Serial Dictatorships Have Polynomial Query Complexity
Automatic Goal-Directed Program Transformation
Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization
Binarisation via Dualisation for Valued Constraints
Learning From Semi-Supervised Weak-Label Data
Towards Scalable and Deep Graph Neural Networks via Noise Masking
Developing LLM-Powered Trustworthy Agents for Personalized Learning Support
Discretization of Temporal Models with Application to Planning with SMT
Personalized Human Activity Recognition Using Convolutional Neural Networks
Int*-Match: Balancing Intra-Class Compactness and Inter-Class Discrepancy for Semi-Supervised Speaker Recognition
Multi-Objective MDPs with Conditional Lexicographic Reward Preferences
Bayesian Functional Optimisation with Shape Prior
Grounding State Representations in Sensory Experience for Reasoning and Planning by Mobile Robots
ELMA: Energy-Based Learning for Multi-Agent Activity Forecasting
Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval
Detect, Retrieve, Comprehend: A Flexible Framework for Zero-Shot Document-Level Question Answering
Two Views of Belief: Belief as Generalized Probability and Belief as Evidence
PICNN: A Pathway towards Interpretable Convolutional Neural Networks
Zero-Shot Learning via Class-Conditioned Deep Generative Models
Axioms for AI Alignment from Human Feedback
AI Evaluation Authorities: A Case Study Mapping Model Audits to Persistent Standards
What Is Planning in the Presence of Sensing?
Optimal Personalized Filtering Against Spear-Phishing Attacks
Understanding Advertisements
Multi-Label Classification of Short Text: A Study on Wikipedia Barnstars
Embodied AI for Smart Robotic Cells in Manufacturing Applications
Human Movement Understanding: A Variety of Perspectives
Forgetting to Learn Logic Programs
Effectiveness of Probability Perception Modeling and Defender Strategy Generation Algorithms in Repeated Stackelberg Games: An Initial Report
Towards Universal Rainy Image Restoration: Benchmark and Baseline
Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion
Learning Optimal Advantage from Preferences and Mistaking It for Reward
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning
On Optimal Game Tree Propagation for Imperfect Players
Solution Reuse in Dynamic Constraint Satisfaction Problems
Commonsense Causal Reasoning Using Millions of Personal Stories
A Generalized Gelfond-Lifschitz Transformation for Logic Programs with Abstract Constraints
An Approach to Building Emotional Intelligence in Artifacts
Discovering Near Symmetry in Graphs
Aligning Instance Brownian Bridge with Texts for Open-Vocabulary Video Instance Segmentation
Explanations for Inconsistency-Tolerant Query Answering under Existential Rules
Symbolic Neural Ordinary Differential Equations
Human-Guided Simple Search
Controlling Tiny Multi-Scale Robots for Nerve Repair
Weakly-Supervised Video Re-Localization with Multiscale Attention Model
NoiseGrad - Enhancing Explanations by Introducing Stochasticity to Model Weights
Dividing a Graphical Cake
Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Framework
CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts
Multi-Domain Incremental Learning for Face Presentation Attack Detection
Eliciting Causal Abilities in Large Language Models for Reasoning Tasks
Correlative Channel-Aware Fusion for Multi-View Time Series Classification
Drop the Beat! Freestyler for Accompaniment Conditioned Rapping Voice Generation
Learning Qualitative Models by Demonstration
Effective Data Augmentation with Multi-Domain Learning GANs
Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio
Combating Adversaries with Anti-adversaries
Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion
You Only Read Once: Constituency-Oriented Relational Graph Convolutional Network for Multi-Aspect Multi-Sentiment Classification
VVS: Video-to-Video Retrieval with Irrelevant Frame Suppression
Knowledge Representation for Video
FlexPose: Pose Distribution Adaptation with Limited Guidance
Personalized Recommendation Based on Co-Ranking and Query-Based Collaborative Diffusion
Fixed-Weight Difference Target Propagation
Enhancing Entertainment Translation for Indian Languages Using Adaptive Context, Style and LLMs
Generative Attention Networks for Multi-Agent Behavioral Modeling
A Noise-Tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving
CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting
Propositional Logic of Context
Machine Learning Based Prediction of Consumer Purchasing Decisions: The Evidence and Its Significance
Data Labeling for Machine Learning Engineers: Project-Based Curriculum and Data-Centric Competitions
Auto-Encoding Transformations in Reparameterized Lie Groups for Unsupervised Learning
Enhancing Healthcare Recommendations: A Privacy-Protective and Interpretable Cross-Domain Framework
Practical Disruption of Image Translation Deepfake Networks
Model Learning for Look-Ahead Exploration in Continuous Control
Local Optimization for Simulation of Natural Motion
Norm Conflict Resolution in Stochastic Domains
Longitudinal Fairness with Censorship
Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation
End-to-End Phase Field Model Discovery Combining Experimentation, Crowdsourcing, Simulation and Learning
OctFormer: Efficient Octree-Based Transformer for Point Cloud Compression with Local Enhancement
A Non-Deterministic Semantics for Tractable Inference
Modeling High-order Interactions across Multi-interests for Micro-video Reommendation (Student Abstract)
Contrastive Open Set Recognition
HieraFashDiff: Hierarchical Fashion Design with Multi-stage Diffusion Models
Group and Graph Joint Sparsity for Linked Data Classification
CCE: A Coupled Framework of Clustering Ensembles
Automatic Generation of Artistic Chinese Calligraphy
Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables
Truncated Approximate Dynamic Programming with Task-Dependent Terminal Value
Exploiting Determinism to Scale Relational Inference
Privacy-CNH: A Framework to Detect Photo Privacy with Convolutional Neural Network using Hierarchical Features
TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework Using Self-Supervised Multi-Task Learning
Translate Meanings, Not Just Words: IdiomKB's Role in Optimizing Idiomatic Translation with Language Models
A New Admissible Heuristic for Minimal-Cost Proofs
Engineering an Exact Pseudo-Boolean Model Counter
Learning Abductive Reasoning Using Random Examples
Statistical Relational Artificial Intelligence, Papers from the 2013 AAAI Workshop, Bellevue, Washington, USA, July 15, 2013
The Complexity of Optimizing Atomic Congestion
Complexity of Verification in Incomplete Argumentation Frameworks
I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs
Efficient Classification with Adaptive KNN
End-to-End Bootstrapping Neural Network for Entity Set Expansion
Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models
Learning Multiple Models without Sacrificing Comprehensibility
Learning Light Field Angular Super-Resolution via a Geometry-Aware Network
Infinite Gaussian Mixture Modeling with an Improved Estimation of the Number of Clusters
Constrained Submodular Optimization for Vaccine Design
Personalized Medication Dosing Using Volatile Data Streams
Initial Exploration of Machine Learning to Predict Customer Demand in an Energy Market Simulation
Differentially Private Clustering via Maximum Coverage
Causal Prompting: Debiasing Large Language Model Prompting Based on Front-Door Adjustment
Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach
Trustworthy Residual Vehicle Value Prediction for Auto Finance
Optimal Execution via Multi-Objective Multi-Armed Bandits (Student Abstract)
The Turing Test in the Classroom
An Introduction to Nonlinear Dimensionality Reduction by Maximum Variance Unfolding
Stochastic Safest and Shortest Path Problems
Positional Label for Self-Supervised Vision Transformer
Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty
Sequence-to-Sequence Learning via Shared Latent Representation
Combining Machine Learning and Queueing Theory for Data-Driven Incarceration-Diversion Program Management
VOILA: Complexity-Aware Universal Segmentation of CT Images by Voxel Interacting with Language
RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction
APIRL: Deep Reinforcement Learning for REST API Fuzzing
A Deep Learning Approach for Arabic Caption Generation Using Roots-Words
Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure
LTLƒ Synthesis with Fairness and Stability Assumptions
Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks
Online Portfolio Selection with Group Sparsity
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing
On the Effectiveness of Parameter-Efficient Fine-Tuning
GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval
Opponent Modeling in Poker
DLMS: Ten Years of AI for Vehicle Assembly Process Planning
Counting and Sampling Markov Equivalent Directed Acyclic Graphs
An Optimal Transport View for Subspace Clustering and Spectral Clustering
Complexity of Hedonic Games with Dichotomous Preferences
Tree-Structured Trajectory Encoding for Vision-and-Language Navigation
Learning Deep Dissipative Dynamics
Conditional Abstract Dialectical Frameworks
Dagster: Parallel Structured Search
Region-Adaptive Dense Network for Efficient Motion Deblurring
Encoding Probabilistic Causal Model in Probabilistic Action Language
Stitching Segments and Sentences towards Generalization in Video-Text Pre-training
Evolution-Based Discovery of Hierarchical Behaviors
Inverse Reinforcement Learning with Explicit Policy Estimates
Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning
Quality Expectation-Variance Tradeoffs in Crowdsourcing Contests
Learning Optimal Strategies to Commit To
Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control
Learning to Learn Better for Video Object Segmentation
Multi-View Anomaly Detection: Neighborhood in Locality Matters
LaDiff ULMFiT: A Layer Differentiated Training Approach for ULMFiT
Deliberation in Equilibrium: Bargaining in Computationally Complex Problems
A Hierarchical Network for Multimodal Document-Level Relation Extraction
Path-Based Rules in Object-Oriented Programming
Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection
Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment
Towards Better Accuracy and Robustness with Localized Adversarial Training
Towards Gene Function Prediction via Multi-Networks Representation Learning
A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking
A Stratified Feature Ranking Method for Supervised Feature Selection
Limits of Preprocessing
Exploring the Terrain of Metaphor Novelty: A Regression-Based Approach for Automatically Scoring Metaphors
It's Not My Default: The Complexity of Membership Problems in Restricted Propositional Default Logics
Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification
Determinantal Reinforcement Learning
Diagnosing University Student Subject Proficiency and Predicting Degree Completion in Vector Space
Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks