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activation function

133 papers

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neural network (6616) neural network optimization (1293) deep learning (2118) convolutional neural network (4226) deep neural network (1803) function approximation (319) gradient descent (1144) image classification (1944) neural network architecture (362) model compression (3302)

Papers

Increasing Biases Can Be More Efficient Than Increasing Weights WACV 2024
How does PDE order affect the convergence of PINNs? NIPS 2024
Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System AAAI 2024
MR-VNet: Media Restoration using Volterra Networks CVPR 2024
Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding (Extended Abstract) IJCAI 2023
Optimal approximation using complex-valued neural networks NIPS 2023
Minimal Width for Universal Property of Deep RNN JMLR 2023
Efficient Activation Function Optimization through Surrogate Modeling NIPS 2023
Constrained Monotonic Neural Networks ICML 2023
Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction ICML 2023
Lon-eå at SemEval-2023 Task 11: A Comparison of Activation Functions for Soft and Hard Label Prediction ACL 2023
Empowering Convolutional Neural Nets with MetaSin Activation NIPS 2023
Understanding the Inner-workings of Language Models Through Representation Dissimilarity EMNLP 2023
Why do networks have inhibitory/negative connections? ICCV 2023
A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates ICML 2023
SERF: Towards Better Training of Deep Neural Networks Using Log-Softplus ERror Activation Function WACV 2023
Optimal Nonlinearities Improve Generalization Performance of Random Features ACML 2023
Lon-eå at SemEval-2023 Task 11: A Comparison of Activation Functions for Soft and Hard Label Prediction SEMEVAL 2023
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks AAAI 2023
New Complexity-Theoretic Frontiers of Tractability for Neural Network Training NIPS 2023
IIEU: Rethinking Neural Feature Activation from Decision-Making ICCV 2023
VRA: Variational Rectified Activation for Out-of-distribution Detection NIPS 2023
Unraveling Feature Extraction Mechanisms in Neural Networks EMNLP 2023
Tanh Works Better with Asymmetry NIPS 2023
SOL: Sampling-based Optimal Linear bounding of arbitrary scalar functions NIPS 2023