yusuke1997/dblp-id-title huggingface dataset:
Locality Preserving Hashing
Learning Valuation Distributions from Partial Observation
Elastic Responding Machine for Dialog Generation with Dynamically Mechanism Selecting
Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science
Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables
Turkomatic: Automatic, Recursive Task and Workflow Design for Mechanical Turk
Automatic Generation of Memory Based Search Heuristics
Managing Occurrence Branching in Qualitative Simulation
Planning With Pixels in (Almost) Real Time
One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline
Water Advisor - A Data-Driven, Multi-Modal, Contextual Assistant to Help With Water Usage Decisions
Online Platforms and the Fair Exposure Problem under Homophily
Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction
Heuristic-Biased Stochastic Sampling
Bridging Sequence-Structure Alignment in RNA Foundation Models
Strategy-Proof and Efficient Kidney Exchange Using a Credit Mechanism
RID-Noise: Towards Robust Inverse Design under Noisy Environments
MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
Efficient Object Instance Search Using Fuzzy Objects Matching
An Embedding-Unleashing Video Polyp Segmentation Framework via Region Linking and Scale Alignment
Mirror Perspective-Taking with a Humanoid Robot
Video-Based Sign Language Recognition Without Temporal Segmentation
From Large Language Models to Large Action Models: Reasoning and Planning with Physical World Knowledge
Discovering Conceptual Knowledge with Analytic Ontology Templates for Articulated Objects
ODPOP: An Algorithm for Open/Distributed Constraint Optimization
π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control
An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations
Abstraction by Time-Scale in Qualitative Simulation
CogSketch
Weakly-Supervised Semantic Segmentation for Histopathology Images Based on Dataset Synthesis and Feature Consistency Constraint
Cross Media Entity Extraction and Linkage for Chemical Documents
Supervised and Projected Sparse Coding for Image Classification
Multi-Relational Contrastive Learning Graph Neural Network for Drug-Drug Interaction Event Prediction
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference
Factored Planning: How, When, and When Not
Optical Flow in Deep Visual Tracking
Scalable Semantic Retrieval through Summarization and Refinement
Approximate Distance Oracle for Fault-Tolerant Geometric Spanners
Geometry-Constrained Car Recognition Using a 3D Perspective Network
Hierarchical Image Generation via Transformer-Based Sequential Patch Selection
The Role of Complex Network Dynamics in the Emergence of Multiagent Coalition
Adversarial Disentanglement with Grouped Observations
Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis
Knowledge-Powered Recommendation for an Improved Diet Water Footprint
Alignment-Enhanced Transformer for Constraining NMT with Pre-Specified Translations
The Capacity of Convergence-Zone Episodic Memory
Beyond Grounding: Extracting Fine-Grained Event Hierarchies across Modalities
Improving Repair-Based Constraint Satisfaction Methods by Value Propagation
Subsidy Allocations in the Presence of Income Shocks
Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring
Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI
Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning
Selective Visual Prompting in Vision Mamba
Understanding Plan Ellipsis
A Tabular Method for Island-Driven Context-Free Grammar Parsing
Improving Entity Linking by Modeling Latent Entity Type Information
PulaCloud: Using Human Computation to Enable Development at the Bottom of the Economic Ladder
An Ironing-Based Approach to Adaptive Online Mechanism Design in Single-Valued Domains
Learning to Know Myself: A Coarse-to-Fine Persona-Aware Training Framework for Personalized Dialogue Generation
Deep Correlated Metric Learning for Sketch-based 3D Shape Retrieval
Reducing Flipping Errors in Deep Neural Networks
A Graph Convolutional Network with Adaptive Graph Generation and Channel Selection for Event Detection
Rich Coalitional Resource Games
Convergence Rate in a Nonlinear Two-Time-Scale Stochastic Approximation with State (Time)-Dependence
Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data
Mixed-Initiative Approach to Collaboration in the Mathematical Domain
Modeling Abstract Algebra as an OWL Ontology (Student Abstract)
Maximizing the Success Probability of Policy Allocations in Online Systems
Learning Sense Representation from Word Representation for Unsupervised Word Sense Disambiguation (Student Abstract)
Combining Collaborative Filtering with Personal Agents for Better Recommendations
Corpus Analysis for Revision-Based Generation of Complex Sentences
Online Updating the Generalized Inverse of Centered Matrices
Select and Augment: Enhanced Dense Retrieval Knowledge Graph Augmentation (Abstract Reprint)
Spatial-Spectral Transformer for Hyperspectral Image Denoising
iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds
Axiomatic Characterization of Data-Driven Influence Measures for Classification
Pairwise Learning with Differential Privacy Guarantees
Fair Representations by Compression
Lessons Learned From a Rational Reconstruction of Minstrel
ESG Accountability Made Easy: DocQA at Your Service
CognTKE: A Cognitive Temporal Knowledge Extrapolation Framework
Sparse Subspace Clustering by Learning Approximation ℓ0 Codes
Public Opinion Field Effect and Hawkes Process Join Hands for Information Popularity Prediction
Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language Alignment
Bias Unveiled: Investigating Social Bias in LLM-Generated Code
Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction
Harmonized Dense Knowledge Distillation Training for Multi-Exit Architectures
InstructAvatar: Text-Guided Emotion and Motion Control for Avatar Generation
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
Multi-Class Support Vector Machine with Maximizing Minimum Margin
Adaptive Algorithms for Routing and Traffic Engineering in Stochastic Networks
PTV: Intelligent Personalised TV Guides
MIND: Multi-Task Incremental Network Distillation
Graph-Hist: Graph Classification from Latent Feature Histograms with Application to Bot Detection
Practical Sentiment Analysis for Education: The Power of Student Crowdsourcing
NightHaze: Nighttime Image Dehazing via Self-Prior Learning
On Pruning Techniques for Multi-Player Games
Mining on Heterogeneous Manifolds for Zero-Shot Cross-Modal Image Retrieval
Efficient Probabilistic Performance Bounds for Inverse Reinforcement Learning
Play as You Like: Timbre-Enhanced Multi-Modal Music Style Transfer
Learning Deep Representations for Graph Clustering
Aspect-Level Sentiment-Controllable Review Generation with Mutual Learning Framework
DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework
Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning
Identity-aware Graph Neural Networks
Detect Any Keypoints: An Efficient Light-Weight Few-Shot Keypoint Detector
Dis²Booth: Learning Image Distribution with Disentangled Features for Text-to-Image Diffusion Models
NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-world Video Super-Resolution
Achieving Privacy in the Adversarial Multi-Armed Bandit
Explainable Neural Networks with Guarantee: A Sparse Estimation Approach
Optimal Rewards versus Leaf-Evaluation Heuristics in Planning Agents
Transforming Underwriting in the Life Insurance Industry
Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience
AWRaCLe: All-Weather Image Restoration Using Visual In-Context Learning
Robots With AI: A Retrospective on the AAAI Robot Competitions and Exhibitions
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example
Residual Diffusion Deblurring Model for Single Image Defocus Deblurring
Structured Document Generation for Industrial Equipment
Temporal Dependencies and Spatio-Temporal Patterns of Time Series Models
Position-Aware Guided Point Cloud Completion with CLIP Model
Towards Fair Graph Federated Learning via Incentive Mechanisms
Beyond NP, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 12, 2016
Contrast-Enhanced Semi-supervised Text Classification with Few Labels
Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding
Existential Rule Languages with Finite Chase: Complexity and Expressiveness
Latent Autoregressive Source Separation
Contexts for Symbiotic Autonomy: Semantic Mapping, Task Teaching and Social Robotics
The Computational Rise and Fall of Fairness
Efficiently Exploiting Dependencies in Local Search for SAT
Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement (Student Abstract)
On Computing Makespan-Optimal Solutions for Generalized Sliding-Tile Puzzles
Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers
Which Shortcut Solution Do Question Answering Models Prefer to Learn?
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering
DC-Former: Diverse and Compact Transformer for Person Re-identification
Utilizing Class Information for Deep Network Representation Shaping
Optimal Auctions for Spiteful Bidders
Reasoning About State From Causation and Time in a Medical Domain
Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning
Who Also Likes It? Generating the Most Persuasive Social Explanations in Recommender Systems
Fusing Procedural and Declarative Planning Goals for Nondeterministic Domains
Just How Mad Are You? Finding Strong and Weak Opinion Clauses
Liquid Time-constant Networks
CORECODE: A Common Sense Annotated Dialogue Dataset with Benchmark Tasks for Chinese Large Language Models
Resilient Logic Programs: Answer Set Programs Challenged by Ontologies
Symmetry as Bias: Rediscovering Special Relativity
Pathology on Game Trees: A Summary of Results
A Sequentially Fair Mechanism for Multiple Sensitive Attributes
Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models
Learning Tractable Statistical Relational Models
Deep Hashing: A Joint Approach for Image Signature Learning
Can LLMs Reliably Simulate Human Learner Actions? A Simulation Authoring Framework for Open-Ended Learning Environments
MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery
Column-Oriented Datalog on the GPU
Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class
Orchestrating the Symphony of Prompt Distribution Learning for Human-Object Interaction Detection
Low-Rank Tensor Completion with Spatio-Temporal Consistency
Distributed Deep Learning under Differential Privacy with the Teacher-Student Paradigm
Safe Online Convex Optimization with Heavy-Tailed Observation Noises
An Axiomatization of the Eigenvector and Katz Centralities
Learning Deep Hierarchical Features with Spatial Regularization for One-Class Facial Expression Recognition
Don't Be Strict in Local Search!
Self-Supervised Learning for Visual Tracking and Recognition of Human Hand
Hybrid Reasoning About Relative Position and Orientation of Objects and Navigating Agents Using Answer Set Programming
Graph Reasoning Transformers for Knowledge-Aware Question Answering
The Parameterized Complexity of Global Constraints
WebCrow: A Web-Based System for Crossword Solving
Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer
Scaling Effects on Latent Representation Edits in GPT Models (Student Abstract)
Pandora's Problem with Deadlines
Rank Aggregation via Heterogeneous Thurstone Preference Models
Modeling All Response Surfaces in One for Conditional Search Spaces
Lenient Regret for Multi-Armed Bandits
Improving the Learning Efficiencies of Realtime Search
Learning in a Fuzzy Logic Robot Controller
Nowcasting Temporal Trends Using Indirect Surveys
Optimism in Face of a Context: Regret Guarantees for Stochastic Contextual MDP
Scalable Visualization Resizing Framework
Connection Based Strategies for Deciding Propositional Temporal Logic
Breaking Data Silos in Parkinson's Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis
Model-Based Case Adaptation
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Unsupervised Deep Keyphrase Generation
Monte-Carlo Simulation Adjusting
(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs
PerReactor: Offline Personalised Multiple Appropriate Facial Reaction Generation
Leashing the Inner Demons: Self-Detoxification for Language Models
A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression
The Backdoor Key: A Path to Understanding Problem Hardness
Improving Neural Cross-Lingual Abstractive Summarization via Employing Optimal Transport Distance for Knowledge Distillation
Learning rewrite rules to improve plan quality
EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion
Memory and Computation-Efficient Kernel SVM via Binary Embedding and Ternary Model Coefficients
Guided and Variance-Corrected Fusion with One-shot Style Alignment for Large-Content Image Generation
Can Label-Specific Features Help Partial-Label Learning?
Court Opinion Generation from Case Fact Description with Legal Basis
Reasoning about Large Taxonomies of Actions
Clean-Label Graph Backdoor Attack in the Node Classification Task
Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning
A Graph-based Relevance Matching Model for Ad-hoc Retrieval
Applications of Machine Learning to Information Access
Eliminating Interchangeable Values in Constraint Satisfaction Problems
FlexDataset: Crafting Annotated Dataset Generation for Diverse Applications
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding
Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis
Actionness Inconsistency-Guided Contrastive Learning for Weakly-Supervised Temporal Action Localization
Artificial Intelligence and Machine Learning for Autonomous Agents that Learn to Plan and Operate in Unpredictable Dynamic Environments
SalM²: An Extremely Lightweight Saliency Mamba Model for Real-Time Cognitive Awareness of Driver Attention
Efficient Planning by Graph Rewriting
DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations
Regularizing Deep Networks Using Efficient Layerwise Adversarial Training
Heterogeneous Graph Neural Network on Semantic Tree
MTSS: Learn from Multiple Domain Teachers and Become a Multi-Domain Dialogue Expert
CLIP-RestoreX: Restore Image Structure and Perception in Exposure Correction
Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEdit
Biologically Motivated Algorithms for Propagating Local Target Representations
Exploratory Inference Learning for Scribble Supervised Semantic Segmentation
GLISP: A High-Level Language for A.I. Programming
Black-Box Adversarial Attack on Time Series Classification
An Integrated Reasoning Approach to Moral Decision-Making
SGFormer: Semantic-Geometry Fusion Transformer for Multi-modal 3D Panoptic Segmentation
FoX: Formation-Aware Exploration in Multi-Agent Reinforcement Learning
A Joint Model for Entity Set Expansion and Attribute Extraction from Web Search Queries
Learngene: From Open-World to Your Learning Task
Scalable, Sustainable, Generalizable, and Responsible AI for Public Sector
Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignment
Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition
Efficient exploration for optimizing immediate reward
An Interactive Constraint-Based Approach to Sudoku
Sense Sentiment Similarity: An Analysis
Relational Logistic Regression: The Directed Analog of Markov Logic Networks
Qualitative Numeric Planning
A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification
UniDet3D: Multi-dataset Indoor 3D Object Detection
The Decomposition of a Large Domain: Reasoning About Machines
ClusterGAN: Latent Space Clustering in Generative Adversarial Networks
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks
Divide-and-Regroup Clustering for Domain Adaptive Person Re-identification
The UBC Semantic Robot Vision System
Nice Invincible Strategy for the Average-Payoff IPD
Visualization of Large-Scale Weighted Clustered Graph: A Genetic Approach
Beyond Bags of Words: Modeling Implicit User Preferences in Information Retrieval
MaxSAT Resolution With the Dual Rail Encoding
Towards User Personality Profiling from Multiple Social Networks
On the Computation of Necessary and Sufficient Explanations
Transformer Uncertainty Estimation with Hierarchical Stochastic Attention
Contrastive Instruction-Trajectory Learning for Vision-Language Navigation
Mean-Shifted Contrastive Loss for Anomaly Detection
Inferring Ignorance from the Locality of Visual Perception
Incomplete Multi-view Clustering via Diffusion Contrastive Generation
Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction
VisualMRC: Machine Reading Comprehension on Document Images
Pose-Dependent Low-Rank Embedding for Head Pose Estimation
Assessing Learned Representations under Open-World Novelty
An Approach to Numeric Refinement in Description Logic Learning for Learning Activities Duration in Smart Homes
Self-Labeling Framework for Novel Category Discovery over Domains
Multi-Strategy Learning of Robotic Behaviours via Qualitative Reasoning
A Comparative Analysis of Expected and Distributional Reinforcement Learning
Situation Calculus Temporally Lifted Abstractions for Generalized Planning
A Self-organizing Multi-agent System for Adaptive Continuous Unsupervised Learning in Complex Uncertain Environments
Escaping Local Optima with Non-Elitist Evolutionary Algorithms
RL-CD: Dealing with Non-Stationarity in Reinforcement Learning
Zero-Shot Object Detection with Textual Descriptions
Preventing Unraveling in Social Networks Gets Harder
Provisioning Heterogeneous and Unreliable Providers for Service Workflows
Planning and Learning for Reliable Autonomy in the Open World
3SAT: A Simple Self-Supervised Adversarial Training Framework
Sparse Latent Space Policy Search
A Bayesian Concept Learning Approach to Crowdsourcing
Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction
DRAGON-V: Detection and Recognition of Airplane Goals with Navigational Visualization
The Trailblazer Search: A New Method for Searching and Capturing Moving Targets
Unsupervised Audio-Visual Segmentation with Modality Alignment
Training-free Open-Vocabulary Semantic Segmentation via Diverse Prototype Construction and Sub-region Matching
How Many Properties Do We Need for Gradual Argumentation?
Qualified Ramifications
Plan Recognition by Program Execution in Continuous Temporal Domains
Blameworthiness in Strategic Games
Planning with Specialized SAT Solvers
Factored MDP Elicitation and Plan Display
On Measuring and Mitigating Biased Inferences of Word Embeddings
Neural Network Approximation for Pessimistic Offline Reinforcement Learning
Learning Plan Transformations from Self-Questions: A Memory-Based Approach
End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure Images
VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition
Dual-Reference Face Retrieval
On the Use of Available Testing Methods for Verification & Validation of AI-based Software and Systems
Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints
An Effectiveness Study of Teacher-Led AI Literacy Curriculum in K-12 Classrooms
Video-Audio Domain Generalization via Confounder Disentanglement
DeS3: Adaptive Attention-Driven Self and Soft Shadow Removal Using ViT Similarity
Structured IB: Improving Information Bottleneck with Structured Feature Learning
A Theory of Unsupervised Speedup Learning
Agent Cooperatives for Effective Power Consumption Shifting
Persuasive Influence Detection: The Role of Argument Sequencing
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting
Knowledge Refinement in a Reflective Architecture
Exploring Relevance Judgement Inspired by Quantum Weak Measurement
Neural Collapse Inspired Knowledge Distillation
Counterfactual-Enhanced Information Bottleneck for Aspect-Based Sentiment Analysis
Robust Loss Functions for Training Decision Trees with Noisy Labels
SAIL: Self-Augmented Graph Contrastive Learning
FiTs: Fine-Grained Two-Stage Training for Knowledge-Aware Question Answering
Learning to Select Useful Landmarks
VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models
ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems
TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets
RoPDA: Robust Prompt-Based Data Augmentation for Low-Resource Named Entity Recognition
DeepUrbanMomentum: An Online Deep-Learning System for Short-Term Urban Mobility Prediction
Interactive Theorem Provers: Applications in AI, Opportunities, and Challenges
LINGO-Space: Language-Conditioned Incremental Grounding for Space
Finding Good Subtrees for Constraint Optimization Problems Using Frequent Pattern Mining
TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments
Detecting VoIP Data Streams: Approaches Using Hidden Representation Learning
Adversarial Fence Patrolling: Non-Uniform Policies for Asymmetric Environments
Improving Audio-Visual Segmentation with Bidirectional Generation
Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization
Fair Text-to-Image Diffusion via Fair Mapping
A Generative Approach at the Instance-Level for Image Segmentation Under Limited Training Data Conditions (Student Abstract)
Model AI Assignments 2025
A Neural Network Approach for Birds of a Feather Solvability Prediction
Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters
Semi-supervised Open-World Object Detection
On the Optimal Efficiency of Cost-Algebraic A
Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP
VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding
Deriving Expectations to Guide Knowledge Base Creation
Termination and Correctness Analysis of Cyclic Control
RQUERY: Rewriting Natural Language Queries on Knowledge Graphs to Alleviate the Vocabulary Mismatch Problem
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach
Low-Pass Graph Convolutional Network for Recommendation
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models
Transfer Latent Semantic Learning: Microblog Mining with Less Supervision
Helicopter Routing for Maintaining Remote Sites in Alaska using a Genetic Algorithm
Submodular Function Maximization Over Graphs via Zero-Suppressed Binary Decision Diagrams
The St. Petersburg Paradox: A Fresh Algorithmic Perspective
Deep Hierarchical Video Compression
One Homonym per Translation
Asymmetric Reinforcing Against Multi-Modal Representation Bias