{"total":25,"rows":[{"id":"2111.05177","title":"On Training Implicit Models","created":"2021-11-09","cited_by_count":75,"area":null},{"id":"2106.07887","title":"Credit Assignment in Neural Networks through Deep Feedback Control","created":"2021-06-15","cited_by_count":29,"area":null},{"id":"2312.09257","title":"Brain-Inspired Machine Intelligence: A Survey of Neurobiologically-Plausible Credit Assignment","created":"2023-12-01","cited_by_count":15,"area":null},{"id":"2210.16414","title":"Meta-Learning Biologically Plausible Plasticity Rules with Random Feedback Pathways","created":"2022-10-28","cited_by_count":14,"area":null},{"id":"2204.07249","title":"Minimizing Control for Credit Assignment with Strong Feedback","created":"2022-04-14","cited_by_count":10,"area":null},{"id":"2212.10249","title":"Learning efficient backprojections across cortical hierarchies in real time","created":"2022-12-20","cited_by_count":8,"area":null},{"id":"2405.08967","title":"Gradient-Free Training of Recurrent Neural Networks using Random Perturbations","created":"2024-05-14","cited_by_count":6,"area":null},{"id":"2101.03419","title":"Training Deep Architectures Without End-to-End Backpropagation: A Survey on the Provably Optimal Methods","created":"2021-01-09","cited_by_count":5,"area":null},{"id":"2206.13448","title":"Distinguishing Learning Rules with Brain Machine Interfaces","created":"2022-06-27","cited_by_count":5,"area":null},{"id":"2409.13697","title":"Prompt Baking","created":"2024-09-04","cited_by_count":5,"area":null},{"id":"2112.01453","title":"Target Propagation via Regularized Inversion","created":"2021-12-02","cited_by_count":3,"area":null},{"id":"2205.15245","title":"Residual Q-Networks for Value Function Factorizing in Multi-Agent Reinforcement Learning","created":"2022-05-30","cited_by_count":3,"area":null},{"id":"2301.07275","title":"Multi-compartment Neuron and Population Encoding Powered Spiking Neural Network for Deep Distributional Reinforcement Learning","created":"2023-01-18","cited_by_count":3,"area":null},{"id":"2105.00568","title":"InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem","created":"2021-05-02","cited_by_count":2,"area":null},{"id":"2206.01820","title":"A Robust Backpropagation-Free Framework for Images","created":"2022-06-03","cited_by_count":2,"area":null},{"id":"2205.06483","title":"Modeling Human Behavior Part II -- Cognitive approaches and Uncertainty","created":"2022-05-13","cited_by_count":1,"area":null},{"id":"2205.06485","title":"Modeling Human Behavior Part I -- Learning and Belief Approaches","created":"2022-05-13","cited_by_count":1,"area":null},{"id":"2402.09769","title":"Learning Using a Single Forward Pass","created":"2024-02-15","cited_by_count":1,"area":null},{"id":"2503.02642","title":"Spike-based alignment learning solves the weight transport problem","created":"2025-03-04","cited_by_count":1,"area":null},{"id":"2106.05569","title":"Front Contribution instead of Back Propagation","created":"2021-06-10","cited_by_count":0,"area":null},{"id":"2405.14139","title":"Contribute to balance, wire in accordance: Emergence of backpropagation from a simple, bio-plausible neuroplasticity rule","created":"2024-05-23","cited_by_count":0,"area":null},{"id":"2408.04460","title":"An experimental comparative study of backpropagation and alternatives for training binary neural networks for image classification","created":"2024-08-08","cited_by_count":0,"area":null},{"id":"2502.05925","title":"Sign-Symmetry Learning Rules are Robust Fine-Tuners","created":"2025-02-09","cited_by_count":0,"area":null},{"id":"2510.27651","title":"Information-Theoretic Greedy Layer-wise Training for Traffic Sign Recognition","created":"2025-10-31","cited_by_count":0,"area":null},{"id":"2512.20668","title":"Forward Only Learning for Orthogonal Neural Networks of any Depth","created":"2025-12-19","cited_by_count":0,"area":null}],"next_cursor":null}