conftrace_

Deep Learning

66,648 papers (25 classified directly here)

Subtopics

Learning Types (28,663) Architectures (27,448) Models (16,617) Techniques (8,241) Optimization & Theory (6,829) Application Areas (46)

Papers per year

2
65
428
6150
10854
'05
'10
'15
'20
'25

Papers (including subtopics)

The Evolved Transformer ICML 2019
Equivariant Transformer Networks ICML 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks ICML 2019
Hierarchical Decompositional Mixtures of Variational Autoencoders ICML 2019
The Variational Predictive Natural Gradient ICML 2019
Adaptive Neural Trees ICML 2019
Optimal Transport for structured data with application on graphs ICML 2019
DeepNose: Using artificial neural networks to represent the space of odorants ICML 2019
Distributed, Egocentric Representations of Graphs for Detecting Critical Structures ICML 2019
Manifold Mixup: Better Representations by Interpolating Hidden States ICML 2019
Understanding Priors in Bayesian Neural Networks at the Unit Level ICML 2019
Graph Convolutional Gaussian Processes ICML 2019
Convolutional Poisson Gamma Belief Network ICML 2019
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver ICML 2019
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis ICML 2019
State-Regularized Recurrent Neural Networks ICML 2019
Deep Factors for Forecasting ICML 2019
Jumpout : Improved Dropout for Deep Neural Networks with ReLUs ICML 2019
Moment-Based Variational Inference for Markov Jump Processes ICML 2019
Simplifying Graph Convolutional Networks ICML 2019
Learning to Prove Theorems via Interacting with Proof Assistants ICML 2019
LegoNet: Efficient Convolutional Neural Networks with Lego Filters ICML 2019
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation ICML 2019
Understanding Geometry of Encoder-Decoder CNNs ICML 2019
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning ICML 2019