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Neural Networks

11,300 papers

Papers per year

Papers

Resurrecting Recurrent Neural Networks for Long Sequences ICML 2023
A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer ICML 2023
Learning Affinity with Hyperbolic Representation for Spatial Propagation ICML 2023
Brauer’s Group Equivariant Neural Networks ICML 2023
How Jellyfish Characterise Alternating Group Equivariant Neural Networks ICML 2023
Dynamics-inspired Neuromorphic Visual Representation Learning ICML 2023
Certifying Ensembles: A General Certification Theory with S-Lipschitzness ICML 2023
Linear CNNs Discover the Statistical Structure of the Dataset Using Only the Most Dominant Frequencies ICML 2023
Universal Physics-Informed Neural Networks: Symbolic Differential Operator Discovery with Sparse Data ICML 2023
Hyena Hierarchy: Towards Larger Convolutional Language Models ICML 2023
Spurious Valleys and Clustering Behavior of Neural Networks ICML 2023
Feature learning in deep classifiers through Intermediate Neural Collapse ICML 2023
Beam Tree Recursive Cells ICML 2023
A New PHO-rmula for Improved Performance of Semi-Structured Networks ICML 2023
Constrained Monotonic Neural Networks ICML 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective ICML 2023
TAN Without a Burn: Scaling Laws of DP-SGD ICML 2023
Facial Expression Recognition with Adaptive Frame Rate based on Multiple Testing Correction ICML 2023
Bigger, Better, Faster: Human-level Atari with human-level efficiency ICML 2023
Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning ICML 2023
Variational Autoencoding Neural Operators ICML 2023
Neural Markov Jump Processes ICML 2023
Sequence Modeling with Multiresolution Convolutional Memory ICML 2023
Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space ICML 2023
Quantitative Universal Approximation Bounds for Deep Belief Networks ICML 2023