conftrace_

Representation Learning

20,822 papers

Papers per year

2
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101
309
2011
2283
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Papers

Learning Parities with Neural Networks NIPS 2020
Online Matrix Completion with Side Information NIPS 2020
Graph Information Bottleneck NIPS 2020
Deep Diffusion-Invariant Wasserstein Distributional Classification NIPS 2020
Adversarial Attacks on Deep Graph Matching NIPS 2020
Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula NIPS 2020
Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features NIPS 2020
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment NIPS 2020
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings NIPS 2020
RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor NIPS 2020
Convergence and Stability of Graph Convolutional Networks on Large Random Graphs NIPS 2020
High-contrast “gaudy” images improve the training of deep neural network models of visual cortex NIPS 2020
Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion NIPS 2020
Neural Unsigned Distance Fields for Implicit Function Learning NIPS 2020
Hard Negative Mixing for Contrastive Learning NIPS 2020
Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings NIPS 2020
Learning Semantic-aware Normalization for Generative Adversarial Networks NIPS 2020
Robust Persistence Diagrams using Reproducing Kernels NIPS 2020
Learning Latent Space Energy-Based Prior Model NIPS 2020
Set2Graph: Learning Graphs From Sets NIPS 2020
Gradient Boosted Normalizing Flows NIPS 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs NIPS 2020
Towards Understanding Hierarchical Learning: Benefits of Neural Representations NIPS 2020
Texture Interpolation for Probing Visual Perception NIPS 2020
Measuring Systematic Generalization in Neural Proof Generation with Transformers NIPS 2020