neural network training

Backforward Propagation (Student Abstract) AAAI 2023 Backpropagation-Free Deep Learning with Recursive Local Representation Alignment AAAI 2023 BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion CVPR 2023 Better Loss Landscape Visualization for Deep Neural Networks with Trajectory Information ACML 2023 Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing NeurIPS 2023 Can Forward Gradient Match Backpropagation? ICML 2023 Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities JMLR 2023 Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry NeurIPS 2023 DeepPCR: Parallelizing Sequential Operations in Neural Networks NeurIPS 2023 DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks AAAI 2023 DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training ICLR 2023 DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm ICML 2023 Fixed-Weight Difference Target Propagation AAAI 2023 FRA-RIR: Fast Random Approximation of the Image-source Method Interspeech 2023 Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity NeurIPS 2023 Improving training datasets for resource-constrained speaker recognition neural networks Interspeech 2023 Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training NeurIPS 2023 Intractability of Learning the Discrete Logarithm with Gradient-Based Methods ACML 2023 Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures NeurIPS 2023 Learning threshold neurons via edge of stability NeurIPS 2023 Lifted Bregman Training of Neural Networks JMLR 2023 Loss-Curvature Matching for Dataset Selection and Condensation AISTATS 2023 Maximal Initial Learning Rates in Deep ReLU Networks ICML 2023 Moccasin: Efficient Tensor Rematerialization for Neural Networks ICML 2023 MODeL: Memory Optimizations for Deep Learning ICML 2023