conftrace_

Representation Learning

20,822 papers

Papers per year

2
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101
309
2011
2283
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Papers

Towards Robust Bisimulation Metric Learning NIPS 2021
Representation Learning Beyond Linear Prediction Functions NIPS 2021
Volume Rendering of Neural Implicit Surfaces NIPS 2021
Batch Normalization Orthogonalizes Representations in Deep Random Networks NIPS 2021
Coupled Segmentation and Edge Learning via Dynamic Graph Propagation NIPS 2021
Can contrastive learning avoid shortcut solutions? NIPS 2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss NIPS 2021
Matrix encoding networks for neural combinatorial optimization NIPS 2021
When Is Unsupervised Disentanglement Possible? NIPS 2021
Continuous Latent Process Flows NIPS 2021
Domain Invariant Representation Learning with Domain Density Transformations NIPS 2021
Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation NIPS 2021
Posterior Collapse and Latent Variable Non-identifiability NIPS 2021
Similarity and Matching of Neural Network Representations NIPS 2021
Contrastive Laplacian Eigenmaps NIPS 2021
Machine learning structure preserving brackets for forecasting irreversible processes NIPS 2021
Shape Registration in the Time of Transformers NIPS 2021
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning NIPS 2021
On UMAP's True Loss Function NIPS 2021
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE NIPS 2021
Group Equivariant Subsampling NIPS 2021
Multi-Person 3D Motion Prediction with Multi-Range Transformers NIPS 2021
Bubblewrap: Online tiling and real-time flow prediction on neural manifolds NIPS 2021
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning NIPS 2021
Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary Enhancement NIPS 2021