Neural Network Optimization
1,004 papers
Papers per year
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5
2
13
16
20
33
78
132
115
124
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197
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20
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Papers
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions
ICML 2023
A Mini-Block Fisher Method for Deep Neural Networks
AISTATS 2023
A Modern Look at the Relationship between Sharpness and Generalization
ICML 2023
An Efficient Speech Separation Network Based on Recurrent Fusion Dilated Convolution and Channel Attention
Interspeech 2023
An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity
JMLR 2023
An SDE for Modeling SAM: Theory and Insights
ICML 2023
ASkewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks
AISTATS 2023
A Unified Approach to Controlling Implicit Regularization via Mirror Descent
JMLR 2023
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks
AAAI 2023
Backpropagation-Free Deep Learning with Recursive Local Representation Alignment
AAAI 2023
Benign Overfitting in Deep Neural Networks under Lazy Training
ICML 2023
Better Loss Landscape Visualization for Deep Neural Networks with Trajectory Information
ACML 2023
Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures
CVPR 2023
Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization
EMNLP 2023
Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis
CVPR 2023
BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization
NeurIPS 2023
Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models
EMNLP 2023
Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection
EMNLP 2023
CAME: Confidence-guided Adaptive Memory Efficient Optimization
ACL 2023
Can Forward Gradient Match Backpropagation?
ICML 2023
Can We Find Strong Lottery Tickets in Generative Models?
AAAI 2023
Class Adaptive Network Calibration
CVPR 2023
Conformal Inference is (almost) Free for Neural Networks Trained with Early Stopping
ICML 2023
Convergence of Adam Under Relaxed Assumptions
NeurIPS 2023
Co-Training 2L Submodels for Visual Recognition
CVPR 2023