Latest Research in Machine Learning
19 research papers · 2026 median publication year
Top Research Topics in Machine Learning
- Artificial Intelligence — 7 papers
- Machine Learning — 3 papers
- Computer Vision and Pattern Recognition — 2 papers
- Computation and Language — 2 papers
- Information Retrieval — 1 papers
- Topic Modeling — 1 papers
- Advanced Clustering Algorithms Research — 1 papers
- Data Management and Algorithms — 1 papers
- Advanced Graph Neural Networks — 1 papers
Highest-Cited Papers
- GraFine: Retrieval-Time Refinement for Efficient Graph RAG over Corpus Graphs
- FITTER: Vocabulary-Agnostic Cross-Domain Inference on Temporal Knowledge Graphs
- GeoBenchLLM: A Comprehensive Benchmark for Evaluating LLMs on Geo-Related Tasks
- LiFTER: A Grounded Neuro-Symbolic Microscope for Continuous-Time Dynamic Graph Forecasting
- OPERA: Operator-residual feedback for reliable autonomous optical experiments with language-model agents
- UG-UMRE: Uncertainty-Guided Modality Augmentation and Distributional Calibration for Unified Multimodal Relation Extraction
- When Modalities Remember: Continual Learning for Multimodal Knowledge Graphs
- CountTRuCoLa: Rule Learning for Interpretable Temporal Knowledge Graph Forecasting
- The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering
- Abstract Event Causal Rules: Induction and Application
- OntoTKGE: Ontology-Enhanced Temporal Knowledge Graph Extrapolation
- IRIS: Reusable Identity Representations from Frozen LLMs for Entity Alignment
- PAP_NER: A large-scale vietnamese administrative named entity recognition corpus and hybrid deep learning architecture
- Fuzzy feature cluster-based approaches for discovering spatial high-utility co-location patterns
- Mining Sustained Emerging Spatio-Temporal Co-occurrence Patterns from Dynamic Spatial Databases
- MA-DAR: Manifold-Aligned Dynamic Adaptive Routing for Continual Temporal Knowledge Graph Reasoning
- Reachability-Aware Pretraining for Efficient Target-Oriented Path Exploration in Temporal Knowledge Graph Reasoning
- GAttNHP: Group Attention Neural Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs
- Temporal-Weighted Transfer Network for Knowledge Graph Extrapolation