Single Headed Attention RNN: Stop Thinking With Your Head

26 November 2019

Papers citing "Single Headed Attention RNN: Stop Thinking With Your Head"

8 / 8 papers shown

Title
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property Prediction Christopher Fifty Joseph M. Paggi Ehsan Amid J. Leskovec R. Dror AI4CE 18 0 0 04 Feb 2023
Circling Back to Recurrent Models of Language Gábor Melis 32 0 0 03 Nov 2022
Mukayese: Turkish NLP Strikes Back Ali Safaya Emirhan Kurtulucs Arda Goktougan Deniz Yuret 28 22 0 02 Mar 2022
TPARN: Triple-path Attentive Recurrent Network for Time-domain Multichannel Speech Enhancement Ashutosh Pandey Buye Xu Anurag Kumar Jacob Donley P. Calamia DeLiang Wang KELM 19 40 0 20 Oct 2021
SRU++: Pioneering Fast Recurrence with Attention for Speech Recognition Jing Pan Tao Lei Kwangyoun Kim Kyu Jeong Han Shinji Watanabe VLM 26 9 0 11 Oct 2021
LegaLMFiT: Efficient Short Legal Text Classification with LSTM Language Model Pre-Training Benjamin Clavié Akshita Gheewala Paul Briton Marc Alphonsus Rym Labiyaad Francesco Piccoli VLM AILaw 24 2 0 02 Sep 2021
Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard Zoltán Tüske G. Saon Kartik Audhkhasi Brian Kingsbury BDL 23 68 0 20 Jan 2020
Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition S. Raschka Benjamin Kaufman AI4CE 21 67 0 17 Jan 2020