Efficient and Flexible Neural Network Training through Layer-wise Feedback Propagation
Fuente:
arXiv
Saved in:
| Main Authors: | Weber, Leander, Berend, Jim, Weckbecker, Moritz, Binder, Alexander, Wiegand, Thomas, Samek, Wojciech, Lapuschkin, Sebastian |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Controlling Recurrent Neural Networks by Conceptors
by: Jaeger, Herbert
Published: (2014)
by: Jaeger, Herbert
Published: (2014)
A Technical Note on the Architectural Effects on Maximum Dependency Lengths of Recurrent Neural Networks
by: Kent, Jonathan S., et al.
Published: (2024)
by: Kent, Jonathan S., et al.
Published: (2024)
Evaluating Brain-Inspired Modular Training in Automated Circuit Discovery for Mechanistic Interpretability
by: Nainani, Jatin
Published: (2024)
by: Nainani, Jatin
Published: (2024)
Towards Scaling Deep Neural Networks with Predictive Coding: Theory and Practice
by: Innocenti, Francesco
Published: (2025)
by: Innocenti, Francesco
Published: (2025)
Searching Search Spaces: Meta-evolving a Geometric Encoding for Neural Networks
by: Kunze, Tarek, et al.
Published: (2024)
by: Kunze, Tarek, et al.
Published: (2024)
Game-Theoretic Gradient Control for Robust Neural Network Training
by: Zaitseva, Maria, et al.
Published: (2025)
by: Zaitseva, Maria, et al.
Published: (2025)
IP$^{2}$-RSNN: Bi-level Intrinsic Plasticity Enables Learning-to-learn in Recurrent Spiking Neural Networks
by: Yu, Yingchao, et al.
Published: (2025)
by: Yu, Yingchao, et al.
Published: (2025)
Breaching the Bottleneck: Evolutionary Transition from Reward-Driven Learning to Reward-Agnostic Domain-Adapted Learning in Neuromodulated Neural Nets
by: Arnold, Solvi, et al.
Published: (2024)
by: Arnold, Solvi, et al.
Published: (2024)
Relevance-driven Input Dropout: an Explanation-guided Regularization Technique
by: Gururaj, Shreyas, et al.
Published: (2025)
by: Gururaj, Shreyas, et al.
Published: (2025)
Enhanced Protein Intrinsic Disorder Prediction Through Dual-View Multiscale Features and Multi-objective Evolutionary Algorithm
by: Wang, Shaokuan, et al.
Published: (2026)
by: Wang, Shaokuan, et al.
Published: (2026)
Theoretical Analysis of the Advantage of Deepening Neural Networks
by: Esaki, Yasushi, et al.
Published: (2020)
by: Esaki, Yasushi, et al.
Published: (2020)
Evolved Developmental Artificial Neural Networks for Multitasking with Advanced Activity Dependence
by: Zhang, Yintong, et al.
Published: (2024)
by: Zhang, Yintong, et al.
Published: (2024)
$μ$PC: Scaling Predictive Coding to 100+ Layer Networks
by: Innocenti, Francesco, et al.
Published: (2025)
by: Innocenti, Francesco, et al.
Published: (2025)
FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision
by: Ma, Jingxiao, et al.
Published: (2025)
by: Ma, Jingxiao, et al.
Published: (2025)
Extending Spike-Timing Dependent Plasticity to Learning Synaptic Delays
by: Dominijanni, Marissa, et al.
Published: (2025)
by: Dominijanni, Marissa, et al.
Published: (2025)
Multi-objective Binary Coordinate Search for Feature Selection
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024)
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024)
Batchless Normalization: How to Normalize Activations Across Instances with Minimal Memory Requirements
by: Berger, Benjamin, et al.
Published: (2022)
by: Berger, Benjamin, et al.
Published: (2022)
Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks
by: Nouranizadeh, Amirhossein, et al.
Published: (2024)
by: Nouranizadeh, Amirhossein, et al.
Published: (2024)
Compact NSGA-II for Multi-objective Feature Selection
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024)
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024)
Increasing biases can be more efficient than increasing weights
by: Metta, Carlo, et al.
Published: (2023)
by: Metta, Carlo, et al.
Published: (2023)
GAAPO: Genetic Algorithmic Applied to Prompt Optimization
by: Sécheresse, Xavier, et al.
Published: (2025)
by: Sécheresse, Xavier, et al.
Published: (2025)
Introducing Echo Networks for Computational Neuroevolution
by: Kroos, Christian, et al.
Published: (2026)
by: Kroos, Christian, et al.
Published: (2026)
Evolving Deep Learning Optimizers
by: Marfinetz, Mitchell
Published: (2025)
by: Marfinetz, Mitchell
Published: (2025)
A Neuro-Symbolic Approach to Multi-Agent RL for Interpretability and Probabilistic Decision Making
by: Subramanian, Chitra, et al.
Published: (2024)
by: Subramanian, Chitra, et al.
Published: (2024)
Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points
by: Lee, Justin, et al.
Published: (2025)
by: Lee, Justin, et al.
Published: (2025)
Advancing the Biological Plausibility and Efficacy of Hebbian Convolutional Neural Networks
by: Nimmo, Julian Jimenez, et al.
Published: (2025)
by: Nimmo, Julian Jimenez, et al.
Published: (2025)
Efficient NAS with FaDE on Hierarchical Spaces
by: Neumeyer, Simon, et al.
Published: (2024)
by: Neumeyer, Simon, et al.
Published: (2024)
Combining Trained Models in Reinforcement Learning
by: Patil, Ujjwal, et al.
Published: (2026)
by: Patil, Ujjwal, et al.
Published: (2026)
Persistent Memory Through Triple-Loop Consolidation in a Non-Gradient Dissipative Cognitive Architecture
by: Lou, Jianwei
Published: (2026)
by: Lou, Jianwei
Published: (2026)
BMR and BWR: Two simple metaphor-free optimization algorithms for solving real-life non-convex constrained and unconstrained problems
by: Rao, Ravipudi Venkata, et al.
Published: (2024)
by: Rao, Ravipudi Venkata, et al.
Published: (2024)
Reward-Modulated Local Learning in Spiking Encoders: Controlled Benchmarks with STDP and Hybrid Rate Readouts
by: Chakraborty, Debjyoti
Published: (2026)
by: Chakraborty, Debjyoti
Published: (2026)
Collapse or Preserve: Data-Dependent Temporal Aggregation for Spiking Neural Network Acceleration
by: Qin, Jiahao
Published: (2026)
by: Qin, Jiahao
Published: (2026)
Shrinkage Initialization for Smooth Learning of Neural Networks
by: Cheng, Miao, et al.
Published: (2025)
by: Cheng, Miao, et al.
Published: (2025)
Cognitive Modelling Aspects of Neurodevelopmental Disorders Using Standard and Oscillating Neighbourhood SOM Neural Networks
by: Revithis, Spyridon, et al.
Published: (2025)
by: Revithis, Spyridon, et al.
Published: (2025)
Spiking Neural Network Architecture Search: A Survey
by: Svoboda, Kama, et al.
Published: (2025)
by: Svoboda, Kama, et al.
Published: (2025)
SymDQN: Symbolic Knowledge and Reasoning in Neural Network-based Reinforcement Learning
by: Amador, Ivo, et al.
Published: (2025)
by: Amador, Ivo, et al.
Published: (2025)
Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
by: Innocenti, Francesco, et al.
Published: (2024)
by: Innocenti, Francesco, et al.
Published: (2024)
On the Infinite Width and Depth Limits of Predictive Coding Networks
by: Innocenti, Francesco, et al.
Published: (2026)
by: Innocenti, Francesco, et al.
Published: (2026)
Rapid training of Hamiltonian graph networks using random features
by: Rahma, Atamert, et al.
Published: (2025)
by: Rahma, Atamert, et al.
Published: (2025)
A Neuro-Fuzzy System for Interpretable Long-Term Stock Market Forecasting
by: Ožbot, Miha, et al.
Published: (2025)
by: Ožbot, Miha, et al.
Published: (2025)
Similar Items
-
Controlling Recurrent Neural Networks by Conceptors
by: Jaeger, Herbert
Published: (2014) -
A Technical Note on the Architectural Effects on Maximum Dependency Lengths of Recurrent Neural Networks
by: Kent, Jonathan S., et al.
Published: (2024) -
Evaluating Brain-Inspired Modular Training in Automated Circuit Discovery for Mechanistic Interpretability
by: Nainani, Jatin
Published: (2024) -
Towards Scaling Deep Neural Networks with Predictive Coding: Theory and Practice
by: Innocenti, Francesco
Published: (2025) -
Searching Search Spaces: Meta-evolving a Geometric Encoding for Neural Networks
by: Kunze, Tarek, et al.
Published: (2024)