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Papers
Constraint-Augmented Mongolian-Chinese Neural Machine Translation Based on Dynamic Feedback Alignment (Student Abstract)
AAAI 2026
Less for More: Enhanced Feedback-aligned Mixed LLMs for Molecule Caption Generation and Fine-Grained NLI Evaluation
ACL 2025
Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization
ICLR 2024
Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks
ICML 2024
Pretraining with Random Noise for Fast and Robust Learning without Weight Transport
NeurIPS 2024
How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization
AISTATS 2022
Align, then memorise: the dynamics of learning with feedback alignment
ICML 2021
Convergence and Alignment of Gradient Descent with Random Backpropagation Weights
NeurIPS 2021
Learning representations for binary-classification without backpropagation
ICLR 2020
Biologically Motivated Algorithms for Propagating Local Target Representations
AAAI 2019
Biologically-Plausible Learning Algorithms Can Scale to Large Datasets
ICLR 2019
Deep Learning without Weight Transport
NeurIPS 2019
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures
NeurIPS 2018
Direct Feedback Alignment Provides Learning in Deep Neural Networks
NeurIPS 2016