conftrace_

Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs NIPS 2020
Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity NIPS 2020
Neural encoding with visual attention NIPS 2020
PLLay: Efficient Topological Layer based on Persistent Landscapes NIPS 2020
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning NIPS 2020
Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations NIPS 2020
Path Integral Based Convolution and Pooling for Graph Neural Networks NIPS 2020
Gaussian Gated Linear Networks NIPS 2020
Relative gradient optimization of the Jacobian term in unsupervised deep learning NIPS 2020
Predictive coding in balanced neural networks with noise, chaos and delays NIPS 2020
Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning NIPS 2020
Compositional Explanations of Neurons NIPS 2020
Functional Regularization for Representation Learning: A Unified Theoretical Perspective NIPS 2020
Understanding Global Feature Contributions With Additive Importance Measures NIPS 2020
Neural Execution Engines: Learning to Execute Subroutines NIPS 2020
Statistical Optimal Transport posed as Learning Kernel Embedding NIPS 2020
Disentangling by Subspace Diffusion NIPS 2020
Discovering Symbolic Models from Deep Learning with Inductive Biases NIPS 2020
Dense Correspondences between Human Bodies via Learning Transformation Synchronization on Graphs NIPS 2020
Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models NIPS 2020
Neural Manifold Ordinary Differential Equations NIPS 2020
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting NIPS 2020
Learning outside the Black-Box: The pursuit of interpretable models NIPS 2020
Robust large-margin learning in hyperbolic space NIPS 2020
Digraph Inception Convolutional Networks NIPS 2020