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
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'10
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'25

Papers (including subtopics)

Separate Loss for Basic and Compound Facial Expression Recognition in the Wild ACML 2019
LADet: A Light-weight and Adaptive Network for Multi-scale Object Detection ACML 2019
Fusing Recalibrated Features and Depthwise Separable Convolution for the Mangrove Bird Sound Classification ACML 2019
Multi-Scale Visual Semantics Aggregation with Self-Attention for End-to-End Image-Text Matching ACML 2019
Unpaired Data based Cross-domain Synthesis and Segmentation Using Attention Neural Network ACML 2019
Self-Supervised Deep Multi-View Subspace Clustering ACML 2019
Trust Region Sequential Variational Inference ACML 2019
Improving Relation Classification by Entity Pair Graph ACML 2019
From Implicit to Explicit Feedback: A deep neural network for modeling the sequential behavior of online users ACML 2019
Resampled Priors for Variational Autoencoders AISTATS 2019
Towards a Theoretical Understanding of Hashing-Based Neural Nets AISTATS 2019
Unbiased Implicit Variational Inference AISTATS 2019
KAMA-NNs: Low-dimensional Rotation Based Neural Networks AISTATS 2019
Pathwise Derivatives for Multivariate Distributions AISTATS 2019
Efficient Inference in Multi-task Cox Process Models AISTATS 2019
Optimization of Inf-Convolution Regularized Nonconvex Composite Problems AISTATS 2019
Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability AISTATS 2019
Robust Graph Embedding with Noisy Link Weights AISTATS 2019
Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks AISTATS 2019
Bayesian Learning of Neural Network Architectures AISTATS 2019
Forward Amortized Inference for Likelihood-Free Variational Marginalization AISTATS 2019
Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization AISTATS 2019
Deep Neural Networks Learn Non-Smooth Functions Effectively AISTATS 2019
Fisher-Rao Metric, Geometry, and Complexity of Neural Networks AISTATS 2019
Learning Invariant Representations with Kernel Warping AISTATS 2019