ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
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Updated
Jul 25, 2024 - Python
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)
"Few-shot Text Classification with Distributional Signatures" ICLR 2020
Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)
Adversarial Training for Natural Language Understanding
Mixed-curvature Variational Autoencoders (ICLR 2020)
Code for "Deep Orientaton Uncertainty Learning based on a Bingham Loss" (ICLR2020)
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.
"CoPhy: Counterfactual Learning of Physical Dynamics", F. Baradel, N. Neverova, J. Mille, G. Mori, C. Wolf, ICLR'2020
[ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)
Code and supporting materials for the ICLR 2020 RIO paper
[ICLR 2020] Learning to Move with Affordance Maps 🗺️🤖💨
Out-of-Distribution Detection Using Layerwise Uncertainty in Deep Neural Networks
a 2D cosine attention module inspired by cosFormer: Rethinking Softmax in Attention(https://arxiv.org/abs/2202.08791)
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