Skip to content
conftrace_

activation function

182 papers

Explore in graph

Also known as

AF

Co-occurring keywords · papers mentioning both

neural network (54) neural network optimization (28) deep neural network (13) convolutional neural network (12) deep learning (11) gradient descent (10) function approximation (9) model compression (9) approximation theory (8) gaussian process (8)

Papers

Scaling FP8 training to trillion-token LLMs ICLR 2025 Separation Power of Equivariant Neural Networks ICLR 2025 Verifying Quantized Graph Neural Networks is PSPACE-complete IJCAI 2025 VI^3NR: Variance Informed Initialization for Implicit Neural Representations CVPR 2025 AdaShift: Learning Discriminative Self-Gated Neural Feature Activation With an Adaptive Shift Factor CVPR 2024 Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System AAAI 2024 An Analytic Solution to Covariance Propagation in Neural Networks AISTATS 2024 Deep Network Approximation: Beyond ReLU to Diverse Activation Functions JMLR 2024 DEEP NEURAL NETWORK INITIALIZATION WITH SPARSITY INDUCING ACTIVATIONS ICLR 2024 DiGRAF: Diffeomorphic Graph-Adaptive Activation Function NeurIPS 2024 Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks NeurIPS 2024 From Activation to Initialization: Scaling Insights for Optimizing Neural Fields CVPR 2024 Graph Neural Networks and Arithmetic Circuits NeurIPS 2024 How does PDE order affect the convergence of PINNs? NeurIPS 2024 Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions JMLR 2024 In-context Learning on Function Classes Unveiled for Transformers ICML 2024 Increasing Biases Can Be More Efficient Than Increasing Weights WACV 2024 Initial Guessing Bias: How Untrained Networks Favor Some Classes ICML 2024 Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts? ICML 2024 LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging ICML 2024 Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input NeurIPS 2024 MR-VNet: Media Restoration using Volterra Networks CVPR 2024 Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations ICLR 2024 On dimensionality of feature vectors in MPNNs ICML 2024 Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations IJCAI 2024