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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

Post Training Quantization for Efficient Dataset Condensation AAAI 2026
Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training AAAI 2026
FUSION: Dataset Pruning via Fusing Uncertainty with Structural Information for Optimal Neural Training in Crystal Property Prediction AAAI 2026
Jump-teaching: Combating Sample Selection Bias via Temporal Disagreement AAAI 2026
A Multi-Objective Optimization Framework for Adaptive Weighting in Physics-Informed Machine Learning AAAI 2026
T-SKM-Net: Trainable Neural Network Framework for Linear Constraint Satisfaction via Sampling Kaczmarz-Motzkin Method AAAI 2026
On the Hardness of Training Deep Neural Networks Discretely AAAI 2025
Curriculum Coarse-to-Fine Selection for High-IPC Dataset Distillation CVPR 2025
Run LoRA Run: Faster and Lighter LoRA Implementations ACL 2025
EVOS: Efficient Implicit Neural Training via EVOlutionary Selector CVPR 2025
Cultivating Gaming Sense for Yourself: Making VLMs Gaming Experts ACL 2025
Monitoring Primitive Interactions During the Training of DNNs AAAI 2025
Memory-Efficient 4-bit Preconditioned Stochastic Optimization ICCV 2025
On the O(sqrt(d)/T^(1/4)) Convergence Rate of RMSProp and Its Momentum Extension Measured by l_1 Norm JMLR 2025
Explicit and Implicit Graduated Optimization in Deep Neural Networks AAAI 2025
Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning JMLR 2025
TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning AAAI 2025
Rule-Guided Graph Neural Networks for Explainable Knowledge Graph Reasoning AAAI 2025
Improving Deep Learning Speed and Performance Through Synaptic Neural Balance AAAI 2025
HVAdam: A Full-Dimension Adaptive Optimizer AAAI 2025
AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient Descent AAAI 2025
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms NIPS 2024
A Layer-Wise Natural Gradient Optimizer for Training Deep Neural Networks NIPS 2024
Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations NIPS 2024
Fast Forwarding Low-Rank Training EMNLP 2024