facebookresearch,Meta Research,github

meta_seq2seq

Compositional generalization through meta sequence-to-sequence learning

metabalance

MetaBalance algorithm for multi-task learning

metaicl

An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi

The codes reproduce the figures and statistics in the paper, "Controlling for multiple covariates," by Mark Tygert. The repo also provides the LaTeX and BibTex sources required for replicating the paper.

metapaired

The codes reproduce the figures and statistics in the paper, "Cumulative differences between paired samples." The repo also provides the LaTeX and BibTeX sources required for replicating the paper.

metaseq

Repo for external large-scale work

midastouch

MidasTouch: Monte-Carlo inference over distributions across sliding touch

millisampler-data

Host-based network traffic data at 1ms granularity

minif2f

An updated version of miniF2F with lots of fixes and informal statements / solutions.

minihack

MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research

minirts

We release dataset collected for our research, code that implement neural network models described in the paper, and scripts to reproduce all of our results, and visualization tool for visualize dataset.

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

mldoc

A Corpus for Multilingual Document Classification in Eight Languages.

mlqa

New dataset

mlqe

We release a dataset based on Wikipedia sentences and the corresponding translations in 6 different languages along with the scores (scale 1 to 100) generated though human evaluations that represent the quality of the translations.Paper Title Unsupervised Quality Estimation for Neural Machine Translation

mm-retrieval-evaluation

mmbt

Supervised Multimodal Bitransformers for Classifying Images and Text

mmd

ML models often mispredict, and it is hard to tell when and why. We present a data mining based approach to discover whether there is a certain form of data that particular causes the model to mispredict.