causal-mlMust-read papers and resources related to causal inference and machine (deep) learning
Learning-From-RulesImplementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)
FUSIONPyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"
PCC-pytorchA pytorch implementation of the paper "Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control"
anatomeἈνατομή is a PyTorch library to analyze representation of neural networks
PC3-pytorchPredictive Coding for Locally-Linear Control (ICML-2020)
VQ-APCVector Quantized Autoregressive Predictive Coding (VQ-APC)
pgdlWinning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning
DESOM🌐 Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization
COCO-LM[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
PLBARTOfficial code of our work, Unified Pre-training for Program Understanding and Generation [NAACL 2021].