This repository contains the top 10 papers on reinforcement learning published in ICLR-2020.
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Updated
Aug 10, 2020
This repository contains the top 10 papers on reinforcement learning published in ICLR-2020.
Few Shot Learning on Graphs
a 2D cosine attention module inspired by cosFormer: Rethinking Softmax in Attention(https://arxiv.org/abs/2202.08791)
Finding the best linkage strategy for bottom up clustering algorithms - ICLR 2020.
Pytorch implementation for ICLR 2020 paper "Weakly Supervised Clustering by Exploiting Unique Class Count"
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
Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)
[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
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)
Probabilistic Type Inference using Graph Neural Networks
Mixed-curvature Variational Autoencoders (ICLR 2020)
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020
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