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Representation Learning

4516 directly classified papers

Papers per year

Papers

Deep Dynamical Modeling and Control of Unsteady Fluid Flows NIPS 2018
Learning Deep Disentangled Embeddings With the F-Statistic Loss NIPS 2018
Differentiating Concepts and Instances for Knowledge Graph Embedding EMNLP 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
The Sparse Manifold Transform NIPS 2018
SplineNets: Continuous Neural Decision Graphs NIPS 2018
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare NIPS 2018
Learning semantic similarity in a continuous space NIPS 2018
Learning to Reason with Third Order Tensor Products NIPS 2018
Deep Structured Prediction with Nonlinear Output Transformations NIPS 2018
Representation Learning for Treatment Effect Estimation from Observational Data NIPS 2018
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise NIPS 2018
SimplE Embedding for Link Prediction in Knowledge Graphs NIPS 2018
Blockwise Parallel Decoding for Deep Autoregressive Models NIPS 2018
Deep Homogeneous Mixture Models: Representation, Separation, and Approximation NIPS 2018
Group Equivariant Capsule Networks NIPS 2018
Breaking the Activation Function Bottleneck through Adaptive Parameterization NIPS 2018
A Retrieve-and-Edit Framework for Predicting Structured Outputs NIPS 2018
Virtual Class Enhanced Discriminative Embedding Learning NIPS 2018
Approximating Real-Time Recurrent Learning with Random Kronecker Factors NIPS 2018
Image-to-image translation for cross-domain disentanglement NIPS 2018
FRAGE: Frequency-Agnostic Word Representation NIPS 2018