Approximating How Single Head Attention Learns
Key knowledge areas and research papers related to the new publication “Approximating How Single Head Attention Learns” authored by Charlie Snell, Ruiqi Zhong, Dan Klein, and Jacob Steinhardt from UC Berkeley.
Other recommended papers
Haoye Lu, Yongyi Mao, Amiya Nayak
Samira Abnar, Willem Zuidema
Umut Simsekli, Levent Sagun, Mert Gurbuzbalaban
Xiang Zhang, Junbo Zhao, Yann LeCun