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Deep Learning
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Neural Networks
11,300 papers
Papers per year
2002: 2
2003: 3
2006: 11
2007: 13
2008: 16
2009: 16
2010: 23
2011: 27
2012: 30
2013: 55
2014: 69
2015: 145
2016: 408
2017: 695
2018: 1065
2019: 1479
2020: 1348
2021: 1407
2022: 1147
2023: 1123
2024: 1083
2025: 811
2026: 324
Papers
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks
NIPS 2023
SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks
NIPS 2023
Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks
NIPS 2023
Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks
NIPS 2023
Exact Verification of ReLU Neural Control Barrier Functions
NIPS 2023
Normalization-Equivariant Neural Networks with Application to Image Denoising
NIPS 2023
Truly Scale-Equivariant Deep Nets with Fourier Layers
NIPS 2023
Nonparametric Boundary Geometry in Physics Informed Deep Learning
NIPS 2023
Model-Based Control with Sparse Neural Dynamics
NIPS 2023
Data Market Design through Deep Learning
NIPS 2023
VanillaNet: the Power of Minimalism in Deep Learning
NIPS 2023
Balancing memorization and generalization in RNNs for high performance brain-machine Interfaces
NIPS 2023
Encoding Human Behavior in Information Design through Deep Learning
NIPS 2023
EvoPrompting: Language Models for Code-Level Neural Architecture Search
NIPS 2023
Simplicity Bias in 1-Hidden Layer Neural Networks
NIPS 2023
Polyhedron Attention Module: Learning Adaptive-order Interactions
NIPS 2023
Convergence of Actor-Critic with Multi-Layer Neural Networks
NIPS 2023
Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions
NIPS 2023
Degraded Polygons Raise Fundamental Questions of Neural Network Perception
NIPS 2023
Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks
NIPS 2023
Empowering Convolutional Neural Nets with MetaSin Activation
NIPS 2023
Gradient Flossing: Improving Gradient Descent through Dynamic Control of Jacobians
NIPS 2023
Online learning of long-range dependencies
NIPS 2023
Provable Guarantees for Nonlinear Feature Learning in Three-Layer Neural Networks
NIPS 2023
Low Tensor Rank Learning of Neural Dynamics
NIPS 2023
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