Recent & Upcoming Talks

2022

A talk on T0++ paper.

2021

This talk summarizes the paper Finetuned Language Models Are Zero-Shot Learners.

This talk summarizes the paper Language Models are Few-Shot Learners.

2020

This talk summarizes the paper mBART and some pretraining concepts.

2019

This talk summarizes the paper mixup, MixMatch, DivideMix, UDA.

This talk summarizes the paper Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context. It assumes that audience are …

2018

This talk summarizes the paper Effective Approaches to Attention-based Neural Machine Translation.

This talk summarizes the paper Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

A talk on the structures of RNN cells.