layer-wise training

FedBRICK: Structural Bias Aware Heterogeneous Foundation Model Federated Tuning AAAI 2026 Provable Learning of Random Hierarchy Models and Hierarchical Shallow-to-Deep Chaining COLT 2026 Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference ACL 2025 TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning AAAI 2025 Dynamic Rescaling for Training GNNs NeurIPS 2024 Forward Learning of Graph Neural Networks ICLR 2024 Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation ICML 2024 On Enhancing Fine-Tuning for Pre-trained Language Models EMNLP 2023 Incremental Layer-Wise Self-Supervised Learning for Efficient Unsupervised Speech Domain Adaptation On Device Interspeech 2022 Towards Scaling Difference Target Propagation by Learning Backprop Targets ICML 2022 The staircase property: How hierarchical structure can guide deep learning NeurIPS 2021 L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks CVPR 2020 Layer-wise Guided Training for BERT: Learning Incrementally Refined Document Representations EMNLP 2020 Greedy Layerwise Learning Can Scale To ImageNet ICML 2019 Training Neural Networks with Local Error Signals ICML 2019