conftrace_

Representation Learning

20,822 papers

Papers per year

2
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101
309
2011
2283
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Papers

What Makes for Good Views for Contrastive Learning? NIPS 2020
On Uniform Convergence and Low-Norm Interpolation Learning NIPS 2020
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence NIPS 2020
Hierarchical Poset Decoding for Compositional Generalization in Language NIPS 2020
Exchangeable Neural ODE for Set Modeling NIPS 2020
Regularized linear autoencoders recover the principal components, eventually NIPS 2020
Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data NIPS 2020
Training Linear Finite-State Machines NIPS 2020
A simple normative network approximates local non-Hebbian learning in the cortex NIPS 2020
Implicit Neural Representations with Periodic Activation Functions NIPS 2020
Hierarchical nucleation in deep neural networks NIPS 2020
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains NIPS 2020
Graph Geometry Interaction Learning NIPS 2020
Learning Certified Individually Fair Representations NIPS 2020
Boosting Adversarial Training with Hypersphere Embedding NIPS 2020
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification NIPS 2020
On the Theory of Transfer Learning: The Importance of Task Diversity NIPS 2020
Learning from Aggregate Observations NIPS 2020
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search NIPS 2020
Novelty Search in Representational Space for Sample Efficient Exploration NIPS 2020
Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud NIPS 2020
Learning Invariants through Soft Unification NIPS 2020
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes NIPS 2020
Learning the Geometry of Wave-Based Imaging NIPS 2020
Factor Graph Neural Networks NIPS 2020