architecture

Overfitting is often perceived as a major challenge in DNNs, leading to a lack of confidence in their ability to generalize to new data. As Neal Shusterman, the author of "Unwind", once wrote: “But remember that good intentions pave many roads. Not all of them lead to hell.“ However, the reality is that the severity of overfitting in DNNs is often overstated and can be effectively mitigated through various techniques.....

[Updated on 2019-02-14: add ULMFiT and GPT-2.] [Updated on 2020-02-29: add ALBERT.] [Updated on 2020-10-25: add RoBERTa.] [Updated on 2020-12-13: add T5.] [Updated on 2020-12-30: add GPT-3.] [Updated on 2021-11-13: add XLNet, BART and ELECTRA; Also updated the Summary section.] Fig. 0. I guess they are Elmo & Bert? (Image source: here) We have seen amazing progress in NLP in 2018. Large-scale pre-trained language modes like OpenAI GPT and BERT have achieved great performance on a variety of language tasks using generic model architectures....