Co-occurring keywords · papers mentioning both
Papers
ReLUPruner: Rethinking ReLU Importance with Taylor Expansion for Efficient Private Inference
AAAI 2026
Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding
ICLR 2025
Posterior and Variational Inference for Deep Neural Networks with Heavy-Tailed Weights
JMLR 2025
Self-Normalized Resets for Plasticity in Continual Learning
ICLR 2025
Sparsing Law: Towards Large Language Models with Greater Activation Sparsity
ICML 2025
Training One-Dimensional Graph Neural Networks is NP-Hard
ICLR 2025
A faster and simpler algorithm for learning shallow networks
COLT 2024
A Sublinear Adversarial Training Algorithm
ICLR 2024
Disparate Impact on Group Accuracy of Linearization for Private Inference
ICML 2024
Generalizing Orthogonalization for Models with Non-Linearities
ICML 2024
Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient
NeurIPS 2024
How does PDE order affect the convergence of PINNs?
NeurIPS 2024
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions
JMLR 2024
On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks
JMLR 2024
Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching
ICLR 2024
Task structure and nonlinearity jointly determine learned representational geometry
ICLR 2024
The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers (Student Abstract)
AAAI 2024
Topological obstruction to the training of shallow ReLU neural networks
NeurIPS 2024
Benign Overfitting in Deep Neural Networks under Lazy Training
ICML 2023
Benign Overfitting in Two-layer ReLU Convolutional Neural Networks
ICML 2023
Does a sparse ReLU network training problem always admit an optimum ?
NeurIPS 2023
Exact Verification of ReLU Neural Control Barrier Functions
NeurIPS 2023
Kernel Logistic Regression Approximation of an Understandable ReLU Neural Network
ICML 2023
Learning Narrow One-Hidden-Layer ReLU Networks
COLT 2023
Mnemonist: Locating Model Parameters that Memorize Training Examples
UAI 2023