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neural network training

309 papers

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Also known as

DNN NNT

Co-occurring keywords

neural network (6616) neural network optimization (1293) stochastic gradient descent (1088) gradient descent (1143) model compression (3283) deep neural network (1801) stochastic optimization (1060) deep learning (2111) batch normalization (222) non-convex optimization (546)

Papers

AlignNet: Learning dataset score alignment functions to enable better training of speech quality estimators INTERSPEECH 2024
Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations NIPS 2024
Gradient Rewiring for Editable Graph Neural Network Training NIPS 2024
Topological obstruction to the training of shallow ReLU neural networks NIPS 2024
Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection AAAI 2024
Taming Binarized Neural Networks and Mixed-Integer Programs AAAI 2024
When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks AAAI 2024
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm CVPR 2024
Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs NIPS 2024
SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation AAAI 2024
Improving the Fairness of the Min-Max Game in GANs Training WACV 2024
AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases NIPS 2024
Swift Sampler: Efficient Learning of Sampler by 10 Parameters NIPS 2024
Weight-Sharing Regularization AISTATS 2024
HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning NIPS 2024
Optical Diffusion Models for Image Generation NIPS 2024
Towards Learning and Explaining Indirect Causal Effects in Neural Networks AAAI 2024
Building on Efficient Foundations: Effective Training of LLMs with Structured Feedforward Layers NIPS 2024
DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity NIPS 2024
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks NIPS 2024
Towards training digitally-tied analog blocks via hybrid gradient computation NIPS 2024
Complexity of Neural Network Training and ETR: Extensions with Effectively Continuous Functions AAAI 2024
Implicit Bias in Noisy-SGD: With Applications to Differentially Private Training AISTATS 2024
Fast Forwarding Low-Rank Training EMNLP 2024
Improved Sample Complexity Bounds for Diffusion Model Training NIPS 2024