Deep Learning without Weight Symmetry
Fuente:
arXiv
Saved in:
| Main Authors: | Ji-An, Li, Benna, Marcus K. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations
by: Ji-An, Li, et al.
Published: (2025)
by: Ji-An, Li, et al.
Published: (2025)
Critical Learning Periods Emerge Even in Deep Linear Networks
by: Kleinman, Michael, et al.
Published: (2023)
by: Kleinman, Michael, et al.
Published: (2023)
DSAM: A Deep Learning Framework for Analyzing Temporal and Spatial Dynamics in Brain Networks
by: Thapaliya, Bishal, et al.
Published: (2024)
by: Thapaliya, Bishal, et al.
Published: (2024)
QF: Quick Feedforward AI Model Training without Gradient Back Propagation
by: Qi, Feng
Published: (2025)
by: Qi, Feng
Published: (2025)
Explaining Deep Learning Models for Age-related Gait Classification based on time series acceleration
by: Zheng, Xiaoping, et al.
Published: (2023)
by: Zheng, Xiaoping, et al.
Published: (2023)
Learning Human-Aligned Representations with Contrastive Learning and Generative Similarity
by: Marjieh, Raja, et al.
Published: (2024)
by: Marjieh, Raja, et al.
Published: (2024)
Learning to Abstract Visuomotor Mappings using Meta-Reinforcement Learning
by: Velazquez-Vargas, Carlos A., et al.
Published: (2024)
by: Velazquez-Vargas, Carlos A., et al.
Published: (2024)
BrainNet-MoE: Brain-Inspired Mixture-of-Experts Learning for Neurological Disease Identification
by: Zhang, Jing, et al.
Published: (2025)
by: Zhang, Jing, et al.
Published: (2025)
Learning Cross-Atlas Consistent Brain Disorder Representations via Disentangled Multi-Atlas Functional Connectivity Learning
by: Chen, Minheng, et al.
Published: (2026)
by: Chen, Minheng, et al.
Published: (2026)
Disentangling Representations through Multi-task Learning
by: Vafidis, Pantelis, et al.
Published: (2024)
by: Vafidis, Pantelis, et al.
Published: (2024)
Learning Dynamics of RNNs in Closed-Loop Environments
by: Ger, Yoav, et al.
Published: (2025)
by: Ger, Yoav, et al.
Published: (2025)
Contrastive Self-Supervised Learning As Neural Manifold Packing
by: Zhang, Guanming, et al.
Published: (2025)
by: Zhang, Guanming, et al.
Published: (2025)
Learning reveals invisible structure in low-rank RNNs
by: Ger, Yoav, et al.
Published: (2026)
by: Ger, Yoav, et al.
Published: (2026)
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics
by: Said, Anwar, et al.
Published: (2023)
by: Said, Anwar, et al.
Published: (2023)
Characterizing higher-order representations through generative diffusion models explains human decoded neurofeedback performance
by: Asrari, Hojjat Azimi, et al.
Published: (2025)
by: Asrari, Hojjat Azimi, et al.
Published: (2025)
Cortex-Inspired Continual Learning: Unsupervised Instantiation and Recovery of Functional Task Networks
by: McKee, Kevin, et al.
Published: (2026)
by: McKee, Kevin, et al.
Published: (2026)
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification
by: Noman, Fuad, et al.
Published: (2021)
by: Noman, Fuad, et al.
Published: (2021)
Sophisticated Learning: A novel algorithm for active learning during model-based planning
by: Hodson, Rowan, et al.
Published: (2023)
by: Hodson, Rowan, et al.
Published: (2023)
Multimodal Dreaming: A Global Workspace Approach to World Model-Based Reinforcement Learning
by: Maytié, Léopold, et al.
Published: (2025)
by: Maytié, Léopold, et al.
Published: (2025)
Revealing Neurocognitive and Behavioral Patterns by Unsupervised Manifold Learning from Dynamic Brain Data
by: Zhou, Zixia, et al.
Published: (2025)
by: Zhou, Zixia, et al.
Published: (2025)
Accuracy-Efficiency Trade-Offs in Spiking Neural Networks: A Lempel-Ziv Complexity Perspective on Learning Rules
by: Rudnicka, Zofia, et al.
Published: (2025)
by: Rudnicka, Zofia, et al.
Published: (2025)
Bridging Foundation Models and Efficient Architectures: A Modular Brain Imaging Framework with Local Masking and Pretrained Representation Learning
by: Wang, Yanwen, et al.
Published: (2025)
by: Wang, Yanwen, et al.
Published: (2025)
Establishing Central Sensitization Inventory Cut-off Values in patients with Chronic Low Back Pain by Unsupervised Machine Learning
by: Zheng, Xiaoping, et al.
Published: (2023)
by: Zheng, Xiaoping, et al.
Published: (2023)
DLGE: Dual Local-Global Encoding for Generalizable Cross-BCI-Paradigm
by: Wang, Jingyuan, et al.
Published: (2025)
by: Wang, Jingyuan, et al.
Published: (2025)
Assembling the Mind's Mosaic: Towards EEG Semantic Intent Decoding
by: Li, Jiahe, et al.
Published: (2026)
by: Li, Jiahe, et al.
Published: (2026)
Emergent Language Symbolic Autoencoder (ELSA) with Weak Supervision to Model Hierarchical Brain Networks
by: Latheef, Ammar Ahmed Pallikonda, et al.
Published: (2024)
by: Latheef, Ammar Ahmed Pallikonda, et al.
Published: (2024)
Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnostics
by: Li, Jiahe, et al.
Published: (2025)
by: Li, Jiahe, et al.
Published: (2025)
Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification
by: Xu, Jiaxing, et al.
Published: (2024)
by: Xu, Jiaxing, et al.
Published: (2024)
Early-stage detection of cognitive impairment by hybrid quantum-classical algorithm using resting-state functional MRI time-series
by: Choi, Junggu, et al.
Published: (2024)
by: Choi, Junggu, et al.
Published: (2024)
Multi-dataset Joint Pre-training of Emotional EEG Enables Generalizable Affective Computing
by: Zhang, Qingzhu, et al.
Published: (2025)
by: Zhang, Qingzhu, et al.
Published: (2025)
Compositional Symmetry as Compression: Lie Pseudogroup Structure in Algorithmic Agents
by: Ruffini, Giulio
Published: (2025)
by: Ruffini, Giulio
Published: (2025)
The Geometry of Concepts: Sparse Autoencoder Feature Structure
by: Li, Yuxiao, et al.
Published: (2024)
by: Li, Yuxiao, et al.
Published: (2024)
Contrastive Graph Pooling for Explainable Classification of Brain Networks
by: Xu, Jiaxing, et al.
Published: (2023)
by: Xu, Jiaxing, et al.
Published: (2023)
Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease
by: Ravivarapu, Harsh, et al.
Published: (2025)
by: Ravivarapu, Harsh, et al.
Published: (2025)
Comparative Analysis of Deep Learning Approaches for Harmful Brain Activity Detection Using EEG
by: Bhatti, Shivraj Singh, et al.
Published: (2024)
by: Bhatti, Shivraj Singh, et al.
Published: (2024)
Overcoming classic challenges for artificial neural networks by providing incentives and practice
by: Irie, Kazuki, et al.
Published: (2024)
by: Irie, Kazuki, et al.
Published: (2024)
Concept Alignment
by: Rane, Sunayana, et al.
Published: (2024)
by: Rane, Sunayana, et al.
Published: (2024)
Brain-like Variational Inference
by: Vafaii, Hadi, et al.
Published: (2024)
by: Vafaii, Hadi, et al.
Published: (2024)
Poisson Variational Autoencoder
by: Vafaii, Hadi, et al.
Published: (2024)
by: Vafaii, Hadi, et al.
Published: (2024)
Discretization of continuous input spaces in the hippocampal autoencoder
by: Amil, Adrian F., et al.
Published: (2024)
by: Amil, Adrian F., et al.
Published: (2024)
Similar Items
-
Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations
by: Ji-An, Li, et al.
Published: (2025) -
Critical Learning Periods Emerge Even in Deep Linear Networks
by: Kleinman, Michael, et al.
Published: (2023) -
DSAM: A Deep Learning Framework for Analyzing Temporal and Spatial Dynamics in Brain Networks
by: Thapaliya, Bishal, et al.
Published: (2024) -
QF: Quick Feedforward AI Model Training without Gradient Back Propagation
by: Qi, Feng
Published: (2025) -
Explaining Deep Learning Models for Age-related Gait Classification based on time series acceleration
by: Zheng, Xiaoping, et al.
Published: (2023)