conftrace_

Architectures

27,448 papers (33 classified directly here)

Subtopics

Neural Networks (11,723) Transformers (10,397) Graph Neural Networks (4,522) Autoencoders (1,154) Convolutional Neural Networks (973) Recurrent Neural Networks (593) Generative Adversarial Networks (18) Encoder-Decoder (14)

Papers per year

27
213
2915
3174
'10
'15
'20
'25

Papers (including subtopics)

CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models NIPS 2020
Learning Differential Equations that are Easy to Solve NIPS 2020
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning NIPS 2020
Fast Fourier Convolution NIPS 2020
Hierarchical Quantized Autoencoders NIPS 2020
Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice NIPS 2020
Learning Representations from Audio-Visual Spatial Alignment NIPS 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks NIPS 2020
Probabilistic Orientation Estimation with Matrix Fisher Distributions NIPS 2020
Minimax Dynamics of Optimally Balanced Spiking Networks of Excitatory and Inhibitory Neurons NIPS 2020
Towards Deeper Graph Neural Networks with Differentiable Group Normalization NIPS 2020
Network size and size of the weights in memorization with two-layers neural networks NIPS 2020
A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons NIPS 2020
Neural Path Features and Neural Path Kernel : Understanding the role of gates in deep learning NIPS 2020
Multiscale Deep Equilibrium Models NIPS 2020
Dirichlet Graph Variational Autoencoder NIPS 2020
Learning to Orient Surfaces by Self-supervised Spherical CNNs NIPS 2020
Analytic Characterization of the Hessian in Shallow ReLU Models: A Tale of Symmetry NIPS 2020
Woodbury Transformations for Deep Generative Flows NIPS 2020
Graph Contrastive Learning with Augmentations NIPS 2020
Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel NIPS 2020
Graph Meta Learning via Local Subgraphs NIPS 2020
Stochastic Deep Gaussian Processes over Graphs NIPS 2020
Evaluating Attribution for Graph Neural Networks NIPS 2020
NeuMiss networks: differentiable programming for supervised learning with missing values. NIPS 2020