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Neural Networks

11,300 papers

Papers per year

Papers

The Hessian perspective into the Nature of Convolutional Neural Networks ICML 2023
FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks ICML 2023
All in a Row: Compressed Convolution Networks for Graphs ICML 2023
Learning Neural PDE Solvers with Parameter-Guided Channel Attention ICML 2023
Defects of Convolutional Decoder Networks in Frequency Representation ICML 2023
End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization ICML 2023
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes ICML 2023
Expected Gradients of Maxout Networks and Consequences to Parameter Initialization ICML 2023
Provable Data Subset Selection For Efficient Neural Networks Training ICML 2023
Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data ICML 2023
PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search ICML 2023
Adaptive Smoothing Gradient Learning for Spiking Neural Networks ICML 2023
LinSATNet: The Positive Linear Satisfiability Neural Networks ICML 2023
A Law of Robustness beyond Isoperimetry ICML 2023
QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms ICML 2023
On the Forward Invariance of Neural ODEs ICML 2023
Probabilistic Categorical Adversarial Attack and Adversarial Training ICML 2023
Quantifying the Variability Collapse of Neural Networks ICML 2023
Data Poisoning Attacks Against Multimodal Encoders ICML 2023
Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics ICML 2023
Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations ICML 2023
Generative Adversarial Symmetry Discovery ICML 2023
Neural Prediction Errors enable Analogical Visual Reasoning in Human Standard Intelligence Tests ICML 2023
MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks ICML 2023
COLA: Orchestrating Error Coding and Learning for Robust Neural Network Inference Against Hardware Defects ICML 2023