conftrace_

Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Hierarchical Granularity Transfer Learning NIPS 2020
Manifold structure in graph embeddings NIPS 2020
MCUNet: Tiny Deep Learning on IoT Devices NIPS 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances NIPS 2020
Predictive Information Accelerates Learning in RL NIPS 2020
Neural Topographic Factor Analysis for fMRI Data NIPS 2020
Deeply Learned Spectral Total Variation Decomposition NIPS 2020
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax NIPS 2020
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? NIPS 2020
Value-driven Hindsight Modelling NIPS 2020
On Convergence of Nearest Neighbor Classifiers over Feature Transformations NIPS 2020
Generative Neurosymbolic Machines NIPS 2020
Joint Contrastive Learning with Infinite Possibilities NIPS 2020
Learning Causal Effects via Weighted Empirical Risk Minimization NIPS 2020
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA NIPS 2020
CompRess: Self-Supervised Learning by Compressing Representations NIPS 2020
Sample complexity and effective dimension for regression on manifolds NIPS 2020
Deep Energy-based Modeling of Discrete-Time Physics NIPS 2020
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning NIPS 2020
Node Embeddings and Exact Low-Rank Representations of Complex Networks NIPS 2020
Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction NIPS 2020
On Infinite-Width Hypernetworks NIPS 2020
Program Synthesis with Pragmatic Communication NIPS 2020
Linear Disentangled Representations and Unsupervised Action Estimation NIPS 2020
The interplay between randomness and structure during learning in RNNs NIPS 2020