iclr2019
Here are 11 public repositories matching this topic...
PyTorch implementation of "Variational Autoencoders with Jointly Optimized Latent Dependency Structure" [ICLR 2019]
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Jul 14, 2019 - Python
✂️ Repository for our ICLR 2019 paper: Discovery of Natural Language Concepts in Individual Units of CNNs
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Mar 9, 2019 - Python
Code for the paper 'Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology'
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Feb 25, 2019 - Python
Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019
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Jan 31, 2020 - Python
[ICLR'19] Complement Objective Training
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Jan 14, 2019 - Python
[ICLR'19] Meta-learning with differentiable closed-form solvers
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Dec 3, 2019 - Python
Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019
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Oct 18, 2019 - Python
This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.
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Oct 3, 2023 - Python
Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"
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Nov 16, 2022 - Python
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