Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Core Methods
Machine Learning
›
Core Methods
›
Neural Networks
78 directly classified papers
Papers per year
2006: 1
2007: 2
2008: 2
2009: 2
2010: 1
2011: 5
2012: 4
2013: 3
2014: 2
2016: 1
2017: 1
2018: 2
2019: 4
2020: 9
2021: 5
2022: 8
2023: 7
2024: 12
2025: 7
Papers
Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign?
NIPS 2023
ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models
JMLR 2022
PrivateSNN: Privacy-Preserving Spiking Neural Networks
AAAI 2022
DANets: Deep Abstract Networks for Tabular Data Classification and Regression
AAAI 2022
Dense Depth Priors for Neural Radiance Fields From Sparse Input Views
CVPR 2022
Size and depth of monotone neural networks: interpolation and approximation
NIPS 2022
A Combinatorial Perspective on the Optimization of Shallow ReLU Networks
NIPS 2022
Towards Understanding the Mixture-of-Experts Layer in Deep Learning
NIPS 2022
Kernel Memory Networks: A Unifying Framework for Memory Modeling
NIPS 2022
Training deep residual networks for uniform approximation guarantees
L4DC 2021
Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks
NIPS 2021
Training Spiking Neural Networks with Accumulated Spiking Flow
AAAI 2021
Automatic Detection and Prediction of Psychiatric Hospitalizations From Social Media Posts
NAACL 2021
Rethinking Graph Neural Architecture Search From Message-Passing
CVPR 2021
Empirical Bounds on Linear Regions of Deep Rectifier Networks
AAAI 2020
Minimax Dynamics of Optimally Balanced Spiking Networks of Excitatory and Inhibitory Neurons
NIPS 2020
Differential Equation Units: Learning Functional Forms of Activation Functions from Data
AAAI 2020
Statistical Deep Parsing for Spanish Using Neural Networks
ACL 2020
Span-Based LCFRS-2 Parsing
ACL 2020
Lexicalization of Probabilistic Linear Context-free Rewriting Systems
ACL 2020
Unfolding recurrence by Green’s functions for optimized reservoir computing
NIPS 2020
Counterexample-Guided Learning of Monotonic Neural Networks
NIPS 2020
Biological credit assignment through dynamic inversion of feedforward networks
NIPS 2020
Augmented Neural ODEs
NIPS 2019
Bipartite expander Hopfield networks as self-decoding high-capacity error correcting codes
NIPS 2019
<
1
2
3
4
>