ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)

[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

Adversarial Training for Natural Language Understanding

Mixed-curvature Variational Autoencoders (ICLR 2020)

Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)

Code for "Deep Orientaton Uncertainty Learning based on a Bingham Loss" (ICLR2020)

[ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning

[ICLR 2020] Learning to Move with Affordance Maps 🗺️🤖💨

"CoPhy: Counterfactual Learning of Physical Dynamics", F. Baradel, N. Neverova, J. Mille, G. Mori, C. Wolf, ICLR'2020

Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search

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 and supporting materials for the ICLR 2020 RIO paper

Out-of-Distribution Detection Using Layerwise Uncertainty in Deep Neural Networks

ICLR2020 Regularized AutoEncoder Pytorch version

ICLR 2020 and 2019 reviews

a 2D cosine attention module inspired by cosFormer: Rethinking Softmax in Attention(https://arxiv.org/abs/2202.08791)