neural network training

TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning AAAI 2025 AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases NeurIPS 2024 A Layer-Wise Natural Gradient Optimizer for Training Deep Neural Networks NeurIPS 2024 AlignNet: Learning dataset score alignment functions to enable better training of speech quality estimators Interspeech 2024 Amortized Eigendecomposition for Neural Networks NeurIPS 2024 A PDE-based Explanation of Extreme Numerical Sensitivities and Edge of Stability in Training Neural Networks JMLR 2024 Building on Efficient Foundations: Effective Training of LLMs with Structured Feedforward Layers NeurIPS 2024 Complexity of Neural Network Training and ETR: Extensions with Effectively Continuous Functions AAAI 2024 DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity NeurIPS 2024 Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond NeurIPS 2024 DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction AAAI 2024 Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment NeurIPS 2024 Efficient Backpropagation with Variance Controlled Adaptive Sampling ICLR 2024 Fast Forwarding Low-Rank Training EMNLP 2024 Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection AAAI 2024 Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization ICLR 2024 Gradient Rewiring for Editable Graph Neural Network Training NeurIPS 2024 HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning NeurIPS 2024 High-dimensional SGD aligns with emerging outlier eigenspaces ICLR 2024 HyperLogic: Enhancing Diversity and Accuracy in Rule Learning with HyperNets NeurIPS 2024 Implicit Bias in Noisy-SGD: With Applications to Differentially Private Training AISTATS 2024 Improved Sample Complexity Bounds for Diffusion Model Training NeurIPS 2024 Improving the Fairness of the Min-Max Game in GANs Training WACV 2024 Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs NeurIPS 2024 Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit NeurIPS 2024