conftrace_
← Learning Types
Deep Learning › Learning Types ›

Representation Learning

4,925 papers

Papers per year

7
51
606
487
'10
'15
'20
'25

Papers

Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning JMLR 2019
Conditional Neural Movement Primitives RSS 2019
Learnability for the Information Bottleneck UAI 2019
Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks NIPS 2018
Adaptive Sampling Towards Fast Graph Representation Learning NIPS 2018
Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation NIPS 2018
Learning towards Minimum Hyperspherical Energy NIPS 2018
Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks NIPS 2018
Neural Code Comprehension: A Learnable Representation of Code Semantics NIPS 2018
Amortized Inference Regularization NIPS 2018
Structure-Aware Convolutional Neural Networks NIPS 2018
Phase Retrieval Under a Generative Prior NIPS 2018
DeepPINK: reproducible feature selection in deep neural networks NIPS 2018
Supervised autoencoders: Improving generalization performance with unsupervised regularizers NIPS 2018
Deep Dynamical Modeling and Control of Unsteady Fluid Flows NIPS 2018
Learning Deep Disentangled Embeddings With the F-Statistic Loss NIPS 2018
Unsupervised Learning of View-invariant Action Representations NIPS 2018
Multi-Layered Gradient Boosting Decision Trees NIPS 2018
Automatic Program Synthesis of Long Programs with a Learned Garbage Collector NIPS 2018
Toddler-Inspired Visual Object Learning NIPS 2018
GLoMo: Unsupervised Learning of Transferable Relational Graphs NIPS 2018
A Simple Cache Model for Image Recognition NIPS 2018
The Sparse Manifold Transform NIPS 2018
SplineNets: Continuous Neural Decision Graphs NIPS 2018
Visual Object Networks: Image Generation with Disentangled 3D Representations NIPS 2018