Imagen de Portada

A Survey of Deep Learning: From Activations to Transformers

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Schneider, Johannes, Vlachos, Michalis
Formato:	Preprint
Publicado:	2023
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Reflective-Net: Learning from Explanations
por: Schneider, Johannes, et al.
Publicado: (2020)

Mitigating Shortcut Learning with InterpoLated Learning
por: Korakakis, Michalis, et al.
Publicado: (2025)

ALVIN: Active Learning Via INterpolation
por: Korakakis, Michalis, et al.
Publicado: (2024)

Creativity of Deep Learning: Conceptualization and Assessment
por: Basalla, Marcus, et al.
Publicado: (2020)

A Survey on Deep Learning based Time Series Analysis with Frequency Transformation
por: Yi, Kun, et al.
Publicado: (2023)

A Survey on Deep Tabular Learning
por: Somvanshi, Shriyank, et al.
Publicado: (2024)

Obtaining Example-Based Explanations from Deep Neural Networks
por: Dong, Genghua, et al.
Publicado: (2025)

Focus on Likely Classes for Test-Time Prediction
por: Schneider, Johannes
Publicado: (2025)

Dropout MPC: An Ensemble Neural MPC Approach for Systems with Learned Dynamics
por: Syntakas, Spyridon, et al.
Publicado: (2024)

A Survey on Explainable Deep Reinforcement Learning
por: Cheng, Zelei, et al.
Publicado: (2025)

A Survey of State Representation Learning for Deep Reinforcement Learning
por: Echchahed, Ayoub, et al.
Publicado: (2025)

Calibration in Deep Learning: A Survey of the State-of-the-Art
por: Wang, Cheng
Publicado: (2023)

A Survey Analyzing Generalization in Deep Reinforcement Learning
por: Korkmaz, Ezgi
Publicado: (2024)

Deep Learning for Time Series Forecasting: A Survey
por: Kong, Xiangjie, et al.
Publicado: (2025)

Hyperbolic Deep Learning for Foundation Models: A Survey
por: He, Neil, et al.
Publicado: (2025)

Reward Models in Deep Reinforcement Learning: A Survey
por: Yu, Rui, et al.
Publicado: (2025)

Plasticity Loss in Deep Reinforcement Learning: A Survey
por: Klein, Timo, et al.
Publicado: (2024)

A Decade of Deep Learning: A Survey on The Magnificent Seven
por: Azizov, Dilshod, et al.
Publicado: (2024)

GraViti: Graph-Level Variational Autoencoders with Relaxed Permutation Invariance
por: Bresson, Roman, et al.
Publicado: (2026)

A Survey of Temporal Credit Assignment in Deep Reinforcement Learning
por: Pignatelli, Eduardo, et al.
Publicado: (2023)

Structure in Deep Reinforcement Learning: A Survey and Open Problems
por: Mohan, Aditya, et al.
Publicado: (2023)

Deep Learning for Time Series Anomaly Detection: A Survey
por: Darban, Zahra Zamanzadeh, et al.
Publicado: (2022)

A Comprehensive Survey on Evidential Deep Learning and Its Applications
por: Gao, Junyu, et al.
Publicado: (2024)

Deep Learning for Multivariate Time Series Imputation: A Survey
por: Wang, Jun, et al.
Publicado: (2024)

Transformer in Touch: A Survey
por: Gao, Jing, et al.
Publicado: (2024)

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks
por: Geng, Xue, et al.
Publicado: (2024)

Deep Insights into Cognitive Decline: A Survey of Leveraging Non-Intrusive Modalities with Deep Learning Techniques
por: Ortiz-Perez, David, et al.
Publicado: (2024)

An Introductory Survey to Autoencoder-based Deep Clustering -- Sandboxes for Combining Clustering with Deep Learning
por: Leiber, Collin, et al.
Publicado: (2025)

Integral Signatures of Activation Functions: A 9-Dimensional Taxonomy and Stability Theory for Deep Learning
por: Mali, Ankur, et al.
Publicado: (2025)

Short-Term Electricity-Load Forecasting by Deep Learning: A Comprehensive Survey
por: Dong, Qi, et al.
Publicado: (2024)

Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey
por: Schott, Lucas, et al.
Publicado: (2024)

Energy-Efficient Deep Reinforcement Learning with Spiking Transformers
por: Uddin, Mohammad Irfan, et al.
Publicado: (2025)

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges
por: Ghasemi, Majid, et al.
Publicado: (2024)

Explaining Predictions by Characteristic Rules
por: Alkhatib, Amr, et al.
Publicado: (2024)

A Survey on Structure-Preserving Graph Transformers
por: Hoang, Van Thuy, et al.
Publicado: (2024)

Smart Grid: A Survey of Architectural Elements, Machine Learning and Deep Learning Applications and Future Directions
por: Thilakarathne, Navod Neranjan, et al.
Publicado: (2020)

Co-Activation Graph Analysis of Safety-Verified and Explainable Deep Reinforcement Learning Policies
por: Gross, Dennis, et al.
Publicado: (2025)

Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey
por: Zong, Zefang, et al.
Publicado: (2021)

Recent Trends in Modelling the Continuous Time Series using Deep Learning: A Survey
por: Habiba, Mansura, et al.
Publicado: (2024)

Learning-Order Autoregressive Models with Application to Molecular Graph Generation
por: Wang, Zhe, et al.
Publicado: (2025)