Imagen de Portada

A Pattern Language for Machine Learning Tasks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Rodatz, Benjamin, Fan, Ian, Laakkonen, Tuomas, Ortega, Neil John, Hoffmann, Thomas, Wang-Mascianica, Vincent
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Category Theory 18M30, 68T01 I.2.6
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

On the Anatomy of Attention
por: Khatri, Nikhil, et al.
Publicado: (2024)

Mind the Metrics: Patterns for Telemetry-Aware In-IDE AI Application Development using the Model Context Protocol (MCP)
por: Koc, Vincent, et al.
Publicado: (2025)

Multi-objective Hyperparameter Optimization in the Age of Deep Learning
por: Basu, Soham, et al.
Publicado: (2025)

An Interpretable Rule Creation Method for Black-Box Models based on Surrogate Trees -- SRules
por: Verdasco, Mario Parrón, et al.
Publicado: (2024)

E$^2$M: Double Bounded $α$-Divergence Optimization for Tensor-based Discrete Density Estimation
por: Ghalamkari, Kazu, et al.
Publicado: (2024)

Learning to Repair Lean Proofs from Compiler Feedback
por: Wang, Evan, et al.
Publicado: (2026)

Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks
por: Xu, Zhi-Qin John, et al.
Publicado: (2019)

A Comparative Study of Feature Selection in Tsetlin Machines
por: Halenka, Vojtech, et al.
Publicado: (2025)

Learning Through Noise: Why Subliminal Learning Works and When It Fails
por: Brockers, Vincent C., et al.
Publicado: (2026)

RepoAudit: An Autonomous LLM-Agent for Repository-Level Code Auditing
por: Guo, Jinyao, et al.
Publicado: (2025)

LLMDFA: Analyzing Dataflow in Code with Large Language Models
por: Wang, Chengpeng, et al.
Publicado: (2024)

Adversarial Constrained Policy Optimization: Improving Constrained Reinforcement Learning by Adapting Budgets
por: Ma, Jianmina, et al.
Publicado: (2024)

Rule Extraction in Machine Learning: Chat Incremental Pattern Constructor
por: Nwokocha, Caleb Princewill
Publicado: (2022)

Improving Graph Embeddings in Machine Learning Using Knowledge Completion with Validation in a Case Study on COVID-19 Spread
por: Napoli, Rosario, et al.
Publicado: (2025)

TSDS: Data Selection for Task-Specific Model Finetuning
por: Liu, Zifan, et al.
Publicado: (2024)

Neural Concept Verifier: Scaling Prover-Verifier Games via Concept Encodings
por: Turan, Berkant, et al.
Publicado: (2025)

confopt: A Library for Implementation and Evaluation of Gradient-based One-Shot NAS Methods
por: Jha, Abhash Kumar, et al.
Publicado: (2025)

Intersymbolic AI: Interlinking Symbolic AI and Subsymbolic AI
por: Platzer, André
Publicado: (2024)

On Privacy Leakage in Tabular Diffusion Models: Influential Factors, Attacker Knowledge, and Metrics
por: Shafieinejad, Masoumeh, et al.
Publicado: (2026)

Alpay Algebra III: Observer-Coupled Collapse and the Temporal Drift of Identity
por: Alpay, Faruk
Publicado: (2025)

Evaluation of the impact of expert knowledge: How decision support scores impact the effectiveness of automatic knowledge-driven feature engineering (aKDFE)
por: Björneld, Olof, et al.
Publicado: (2025)

Leo Breiman, the Rashomon Effect, and the Occam Dilemma
por: Rudin, Cynthia
Publicado: (2025)

Score Change of Variables
por: Robbins, Stephen
Publicado: (2024)

Strongly finitary metric monads are too strong
por: Adamek, Jiri
Publicado: (2026)

Epidemic Information Extraction for Event-Based Surveillance using Large Language Models
por: Consoli, Sergio, et al.
Publicado: (2024)

Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models Promptly
por: Bian, Yijun, et al.
Publicado: (2024)

Navigational Thinking as an Emerging Paradigm of Computer Science in the Age of Generative AI
por: Levin, Ilya
Publicado: (2026)

Graph Transformers: A Survey
por: Shehzad, Ahsan, et al.
Publicado: (2024)

Hilbert-Geo: Solving Solid Geometric Problems by Neural-Symbolic Reasoning
por: Xu, Ruoran, et al.
Publicado: (2026)

Hyperbox Mixture Regression for Process Performance Prediction in Antibody Production
por: Nik-Khorasani, Ali, et al.
Publicado: (2024)

An Automatic Text Classification Method Based on Hierarchical Taxonomies, Neural Networks and Document Embedding: The NETHIC Tool
por: Lomasto, Luigi, et al.
Publicado: (2026)

Machine Learning as Performative Materialist Practice: Thirteen Theses on the Epistemology, Methodology, and Politics of Applied ML
por: De Unánue, Adolfo, et al.
Publicado: (2026)

ORPHEAS: A Cross-Lingual Greek-English Embedding Model for Retrieval-Augmented Generation
por: Livieris, Ioannis E., et al.
Publicado: (2026)

Internalizing Tools as Morphisms in Graded Transformers
por: Shaska, Tony
Publicado: (2025)

Semantic Depth Matters: Explaining Errors of Deep Vision Networks through Perceived Class Similarities
por: Filus, Katarzyna, et al.
Publicado: (2025)

Towards a Unified Theory of Time-Varying Data
por: Bumpus, Benjamin Merlin, et al.
Publicado: (2024)

Fact Grounded Attention: Eliminating Hallucination in Large Language Models Through Attention Level Knowledge Integration
por: Gupta, Aayush
Publicado: (2025)

Morphological Synthesizer for Ge'ez Language: Addressing Morphological Complexity and Resource Limitations
por: Gebremariam, Gebrearegawi, et al.
Publicado: (2025)

A Landmark-Aware Visual Navigation Dataset
por: Johnson, Faith, et al.
Publicado: (2024)

Order Theory in the Context of Machine Learning
por: Dolores-Cuenca, Eric, et al.
Publicado: (2024)