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)

Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach AISTATS 2019
On the Connection Between Learning Two-Layer Neural Networks and Tensor Decomposition AISTATS 2019
Towards Understanding the Generalization Bias of Two Layer Convolutional Linear Classifiers with Gradient Descent AISTATS 2019
Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex AISTATS 2019
Auto-Encoding Total Correlation Explanation AISTATS 2019
Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron AISTATS 2019
Adaptive Ensemble Prediction for Deep Neural Networks based on Confidence Level AISTATS 2019
Distilling Policy Distillation AISTATS 2019
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling AISTATS 2019
Adversarial Variational Optimization of Non-Differentiable Simulators AISTATS 2019
Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes AISTATS 2019
Nonconvex Matrix Factorization from Rank-One Measurements AISTATS 2019
Fast and Robust Shortest Paths on Manifolds Learned from Data AISTATS 2019
Training a Spiking Neural Network with Equilibrium Propagation AISTATS 2019
Learning One-hidden-layer ReLU Networks via Gradient Descent AISTATS 2019
Calibrating Deep Convolutional Gaussian Processes AISTATS 2019
Inverting Supervised Representations with Autoregressive Neural Density Models AISTATS 2019
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning AISTATS 2019
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning AISTATS 2019
Deep learning with differential Gaussian process flows AISTATS 2019
Probabilistic Forecasting with Spline Quantile Function RNNs AISTATS 2019
Learning One-hidden-layer Neural Networks under General Input Distributions AISTATS 2019
A Geometric Perspective on the Transferability of Adversarial Directions AISTATS 2019
Implicit Kernel Learning AISTATS 2019
Training Variational Autoencoders with Buffered Stochastic Variational Inference AISTATS 2019