Few Shot Learning on Graphs
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Updated
Jun 14, 2020 - Python
Few Shot Learning on Graphs
a 2D cosine attention module inspired by cosFormer: Rethinking Softmax in Attention(https://arxiv.org/abs/2202.08791)
Code and supporting materials for the ICLR 2020 RIO paper
Out-of-Distribution Detection Using Layerwise Uncertainty in Deep Neural Networks
PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.
Code for "Deep Orientaton Uncertainty Learning based on a Bingham Loss" (ICLR2020)
[ICLR 2020] Learning to Move with Affordance Maps 🗺️🤖💨
[ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
"CoPhy: Counterfactual Learning of Physical Dynamics", F. Baradel, N. Neverova, J. Mille, G. Mori, C. Wolf, ICLR'2020
Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)
Mixed-curvature Variational Autoencoders (ICLR 2020)
Adversarial Training for Natural Language Understanding
"Few-shot Text Classification with Distributional Signatures" ICLR 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)
[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.
Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)
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