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Neural Networks

11,723 papers

Papers per year

25
148
1385
860
'10
'15
'20
'25

Papers

Neural Controlled Differential Equations for Irregular Time Series NIPS 2020
Exchangeable Neural ODE for Set Modeling NIPS 2020
Training Linear Finite-State Machines NIPS 2020
Self-Supervised Few-Shot Learning on Point Clouds NIPS 2020
Exactly Computing the Local Lipschitz Constant of ReLU Networks NIPS 2020
Generating Correct Answers for Progressive Matrices Intelligence Tests NIPS 2020
HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet Loss NIPS 2020
Implicit Neural Representations with Periodic Activation Functions NIPS 2020
Rotated Binary Neural Network NIPS 2020
Hierarchical nucleation in deep neural networks NIPS 2020
Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks NIPS 2020
Detecting Hands and Recognizing Physical Contact in the Wild NIPS 2020
Learning the Geometry of Wave-Based Imaging NIPS 2020
Multi-Fidelity Bayesian Optimization via Deep Neural Networks NIPS 2020
Spin-Weighted Spherical CNNs NIPS 2020
Characterizing emergent representations in a space of candidate learning rules for deep networks NIPS 2020
Generalized Boosting NIPS 2020
Understanding spiking networks through convex optimization NIPS 2020
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts NIPS 2020
Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach NIPS 2020
Neural Networks Learning and Memorization with (almost) no Over-Parameterization NIPS 2020
Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data NIPS 2020
GANSpace: Discovering Interpretable GAN Controls NIPS 2020
Biological credit assignment through dynamic inversion of feedforward networks NIPS 2020
UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging NIPS 2020