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)

$K^2$-GNN: Multiple Users’ Comments Integration with Probabilistic K-Hop Knowledge Graph Neural Networks ACML 2021
Perturbing Eigenvalues with Residual Learning in Graph Convolutional Neural Networks ACML 2021
Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space ACML 2021
Unsupervised Cycle-Consistent Network for Removing Susceptibility Artifacts in Single-shot EPI ACML 2021
CWY Parametrization: a Solution for Parallelized Optimization of Orthogonal and Stiefel Matrices AISTATS 2021
When MAML Can Adapt Fast and How to Assist When It Cannot AISTATS 2021
Approximating Lipschitz continuous functions with GroupSort neural networks AISTATS 2021
Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes AISTATS 2021
Neural Enhanced Belief Propagation on Factor Graphs AISTATS 2021
Deep Fourier Kernel for Self-Attentive Point Processes AISTATS 2021
Understanding the wiring evolution in differentiable neural architecture search AISTATS 2021
Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers AISTATS 2021
Stable ResNet AISTATS 2021
Adaptive wavelet pooling for convolutional neural networks AISTATS 2021
Learning Contact Dynamics using Physically Structured Neural Networks AISTATS 2021
Ridge Regression with Over-parametrized Two-Layer Networks Converge to Ridgelet Spectrum AISTATS 2021
Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon AISTATS 2021
Sketch based Memory for Neural Networks AISTATS 2021
A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks AISTATS 2021
Hyperbolic graph embedding with enhanced semi-implicit variational inference. AISTATS 2021
Scalable Gaussian Process Variational Autoencoders AISTATS 2021
Spectral Tensor Train Parameterization of Deep Learning Layers AISTATS 2021
Learning Bijective Feature Maps for Linear ICA AISTATS 2021
On the Memory Mechanism of Tensor-Power Recurrent Models AISTATS 2021
Causal Inference under Networked Interference and Intervention Policy Enhancement AISTATS 2021