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[2304.06035] Choose Your Weapon: Survival Strategies for Depressed AI Academics

[2304.06035] Choose Your Weapon: Survival Strategies for Depressed AI Academics
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United States , New York , New York University , Lerrel Pinto , Ben Allal , Kimin Lee , Keiran Paster , Avishkar Bhoopchand , Mingfei Sun , Satinder Baveja , Alexander Kolesnikov , Tim Pearce , Roy Schwartz , Yann Lecun , Matteo Hessel , Lucas Beyer , Oren Etzioni , Sean Ma , Misha Laskin , Louis Martin , Jonathan Krause , Jie Tang , Benedikte Mikkelsen , Georg Heigold , Sebastian Risi , Mai Gimenez ,

The Transformer Family Version 2.0

Many new Transformer architecture improvements have been proposed since my last post on “The Transformer Family” about three years ago. Here I did a big refactoring and enrichment of that 2020 post — restructure the hierarchy of sections and improve many sections with more recent papers. Version 2.0 is a superset of the old version, about twice the length.
Notations Symbol Meaning $d$ The model size / hidden state dimension / positional encoding size. ....

Mostafa Dehghani , Olah Carter , Emilio Parisotto , Sainbayar Sukhbaatar , Alex Graves , Longformer Beltagy , Niki Parmar , Ashish Vaswani , Nikita Kitaev , Zihang Dai , Linformer Wang , Rahimi Recht , Aidann Gomez , Adaptive Computation Time For Recurrent Neural Networks , A Survey , Recurrent Neural Networks , Rotary Position Embedding , Memorizing Transformer , Aware Transformer , Linear Biases , Universal Transformer , Adaptive Attention , Adaptive Computation Time , Depth Adaptive Transformer , Confident Adaptive Language Model , Efficient Transformers ,