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Neural Networks

11,723 papers

Papers per year

25
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860
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Papers

Double Sampling Randomized Smoothing ICML 2022
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint ICML 2022
Deep Probability Estimation ICML 2022
Feature Learning and Signal Propagation in Deep Neural Networks ICML 2022
ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias ICML 2022
Architecture Agnostic Federated Learning for Neural Networks ICML 2022
Steerable 3D Spherical Neurons ICML 2022
Equivariant Quantum Graph Circuits ICML 2022
Minimizing Control for Credit Assignment with Strong Feedback ICML 2022
A Dynamical System Perspective for Lipschitz Neural Networks ICML 2022
Modeling Structure with Undirected Neural Networks ICML 2022
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models ICML 2022
Wide Neural Networks Forget Less Catastrophically ICML 2022
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions ICML 2022
Bounding the Width of Neural Networks via Coupled Initialization A Worst Case Analysis ICML 2022
AutoSNN: Towards Energy-Efficient Spiking Neural Networks ICML 2022
Measuring Representational Robustness of Neural Networks Through Shared Invariances ICML 2022
Variational Inference for Infinitely Deep Neural Networks ICML 2022
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs ICML 2022
Fast Finite Width Neural Tangent Kernel ICML 2022
A Study on the Ramanujan Graph Property of Winning Lottery Tickets ICML 2022
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks ICML 2022
Learning Symmetric Embeddings for Equivariant World Models ICML 2022
Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness ICML 2022
Neural Network Pruning Denoises the Features and Makes Local Connectivity Emerge in Visual Tasks ICML 2022