activity
20162023
most citedScaling Instruction-Finetuned Language Models

1.2k citations · 3.4k across the 52 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.LG2020★ 195 cited

Long Range Arena: A Benchmark for Efficient Transformers

Yi Tay, Mostafa Dehghani, Samira Abnar +7

Transformers do not scale very well to long sequence lengths largely because of quadratic self-attention complexity. In the recent months, a wide spectrum of efficient, fast Transf…

cs.LG2020★ 223 cited

Efficient Transformers: A Survey

Yi Tay, Mostafa Dehghani, Dara Bahri +1

Transformer model architectures have garnered immense interest lately due to their effectiveness across a range of domains like language, vision and reinforcement learning. In the…

cs.LG2020★ 36 cited

IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression

Rianne van den Berg, Alexey A. Gritsenko, Mostafa Dehghani +2

In this paper we analyse and improve integer discrete flows for lossless compression. Integer discrete flows are a recently proposed class of models that learn invertible transform…

cs.LG2020★ 13 cited

Transferring Inductive Biases through Knowledge Distillation

Samira Abnar, Mostafa Dehghani, Willem Zuidema

Having the right inductive biases can be crucial in many tasks or scenarios where data or computing resources are a limiting factor, or where training data is not perfectly represe…

cs.LG2020★ 309 cited

MetNet: A Neural Weather Model for Precipitation Forecasting

Casper Kaae Sønderby, Lasse Espeholt, Jonathan Heek +6

Weather forecasting is a long standing scientific challenge with direct social and economic impact. The task is suitable for deep neural networks due to vast amounts of continuousl…