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Neural Networks

11,300 papers

Papers per year

Papers

Can Forward Gradient Match Backpropagation? ICML 2023
Simple Hardware-Efficient Long Convolutions for Sequence Modeling ICML 2023
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations ICML 2023
Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks ICML 2023
Harmonic Neural Networks ICML 2023
Hidden Symmetries of ReLU Networks ICML 2023
Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal ICML 2023
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees ICML 2023
Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual Recognition ICML 2023
System Identification of Neural Systems: If We Got It Right, Would We Know? ICML 2023
Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification ICML 2023
Group Equivariant Fourier Neural Operators for Partial Differential Equations ICML 2023
Generalized Teacher Forcing for Learning Chaotic Dynamics ICML 2023
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons ICML 2023
Are Large Kernels Better Teachers than Transformers for ConvNets? ICML 2023
Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks ICML 2023
Combinatorial Neural Bandits ICML 2023
Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels ICML 2023
Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization Methods ICML 2023
A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates ICML 2023
NeuralSlice: Neural 3D Triangle Mesh Reconstruction via Slicing 4D Tetrahedral Meshes ICML 2023
The Catalog Problem: Clustering and Ordering Variable-Sized Sets ICML 2023
Equivariance with Learned Canonicalization Functions ICML 2023
A Deep Conjugate Direction Method for Iteratively Solving Linear Systems ICML 2023
Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias ICML 2023