conftrace_
← Architectures
Deep Learning › Architectures ›

Neural Networks

11,300 papers

Papers per year

Papers

EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks NIPS 2023
GUST: Combinatorial Generalization by Unsupervised Grouping with Neuronal Coherence NIPS 2023
Hierarchically Gated Recurrent Neural Network for Sequence Modeling NIPS 2023
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry NIPS 2023
Expressive probabilistic sampling in recurrent neural networks NIPS 2023
Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks NIPS 2023
Understanding Multi-phase Optimization Dynamics and Rich Nonlinear Behaviors of ReLU Networks NIPS 2023
Should We Learn Most Likely Functions or Parameters? NIPS 2023
Geometry-Informed Neural Operator for Large-Scale 3D PDEs NIPS 2023
Training Fully Connected Neural Networks is $\exists\mathbb{R}$-Complete NIPS 2023
CosNet: A Generalized Spectral Kernel Network NIPS 2023
TensorNet: Cartesian Tensor Representations for Efficient Learning of Molecular Potentials NIPS 2023
Learning to Receive Help: Intervention-Aware Concept Embedding Models NIPS 2023
GEQ: Gaussian Kernel Inspired Equilibrium Models NIPS 2023
Hypervolume Maximization: A Geometric View of Pareto Set Learning NIPS 2023
Deep Patch Visual Odometry NIPS 2023
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition NIPS 2023
Robustness Guarantees for Adversarially Trained Neural Networks NIPS 2023
A General Theory of Correct, Incorrect, and Extrinsic Equivariance NIPS 2023
What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement. NIPS 2023
Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities NIPS 2023
Spiking PointNet: Spiking Neural Networks for Point Clouds NIPS 2023
Lie Point Symmetry and Physics-Informed Networks NIPS 2023
Norm-based Generalization Bounds for Sparse Neural Networks NIPS 2023
Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem NIPS 2023