Co-occurring keywords · papers mentioning both
Papers
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models
ICLR 2024
The effect of Leaky ReLUs on the training and generalization of overparameterized networks
AISTATS 2024
The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution
AAAI 2024
What does automatic differentiation compute for neural networks?
ICLR 2024
Achieve the Minimum Width of Neural Networks for Universal Approximation
ICLR 2023
A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates
ICML 2023
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks
AAAI 2023
Can CNNs Be More Robust Than Transformers?
ICLR 2023
Constrained Monotonic Neural Networks
ICML 2023
Efficient Activation Function Optimization through Surrogate Modeling
NeurIPS 2023
Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding (Extended Abstract)
IJCAI 2023
Empowering Convolutional Neural Nets with MetaSin Activation
NeurIPS 2023
Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction
ICML 2023
IIEU: Rethinking Neural Feature Activation from Decision-Making
ICCV 2023
Learning Activation Functions for Sparse Neural Networks
AutoML 2023
Lon-eå at SemEval-2023 Task 11: A Comparison of Activation Functions for Soft and Hard Label Prediction
SemEval 2023
Minimal Width for Universal Property of Deep RNN
JMLR 2023
Most Neural Networks Are Almost Learnable
NeurIPS 2023
New Complexity-Theoretic Frontiers of Tractability for Neural Network Training
NeurIPS 2023
On the impact of activation and normalization in obtaining isometric embeddings at initialization
NeurIPS 2023
Optimal Activation Functions for the Random Features Regression Model
ICLR 2023
Optimal approximation using complex-valued neural networks
NeurIPS 2023
Optimal Nonlinearities Improve Generalization Performance of Random Features
ACML 2023
SERF: Towards Better Training of Deep Neural Networks Using Log-Softplus ERror Activation Function
WACV 2023
SOL: Sampling-based Optimal Linear bounding of arbitrary scalar functions
NeurIPS 2023