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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

Exploiting Space Folding by Neural Networks AAAI 2026
Tighter Truncated Rectangular Prism Approximation for RNN Robustness Verification AAAI 2026
Revisiting Vision-Language Foundations for No-Reference Image Quality Assessment WACV 2026
VI^3NR: Variance Informed Initialization for Implicit Neural Representations CVPR 2025
LayerAct: Advanced Activation Mechanism for Robust Inference of CNNs AAAI 2025
Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data ACL 2025
A Renormalization Group Framework for Scale-Invariant Feature Learning in Deep Neural Networks (Student Abstract) AAAI 2025
MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions AAAI 2025
MIRE: Matched Implicit Neural Representations CVPR 2025
Optimizing Neural Network Effectiveness via Non-Monotonicity Refinement WACV 2025
Verifying Quantized Graph Neural Networks is PSPACE-complete IJCAI 2025
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? WACV 2025
Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild CVPR 2025
The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution AAAI 2024
Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations IJCAI 2024
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function NIPS 2024
An Analytic Solution to Covariance Propagation in Neural Networks AISTATS 2024
Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks NIPS 2024
Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input NIPS 2024
From Activation to Initialization: Scaling Insights for Optimizing Neural Fields CVPR 2024
Graph Neural Networks and Arithmetic Circuits NIPS 2024
Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System AAAI 2024
The effect of Leaky ReLUs on the training and generalization of overparameterized networks AISTATS 2024
How does PDE order affect the convergence of PINNs? NIPS 2024
Increasing Biases Can Be More Efficient Than Increasing Weights WACV 2024