Papers citing "Language Models are Few-Shot Learners"

18 / 12,468 papers shown

Title
Blockwise Self-Attention for Long Document Understanding J. Qiu Hao Ma Omer Levy Scott Yih Sinong Wang Jie Tang 111 254 0 07 Nov 2019
Discovering the Compositional Structure of Vector Representations with Role Learning Networks Paul Soulos R. Thomas McCoy Tal Linzen P. Smolensky CoGe 132 44 0 21 Oct 2019
Demon: Improved Neural Network Training with Momentum Decay John Chen Cameron R. Wolfe Zhaoqi Li Anastasios Kyrillidis ODL 106 15 0 11 Oct 2019
On the adequacy of untuned warmup for adaptive optimization Jerry Ma Denis Yarats 106 70 0 09 Oct 2019
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators Lu Lu Pengzhan Jin George Karniadakis 254 2,179 0 08 Oct 2019
Soft-Label Dataset Distillation and Text Dataset Distillation Ilia Sucholutsky Matthias Schonlau DD 170 135 0 06 Oct 2019
Distributed Learning of Deep Neural Networks using Independent Subnet Training John Shelton Hyatt Cameron R. Wolfe Michael Lee Yuxin Tang Anastasios Kyrillidis Christopher M. Jermaine OOD 92 39 0 04 Oct 2019
Semi-supervised Thai Sentence Segmentation Using Local and Distant Word Representations Chanatip Saetia Ekapol Chuangsuwanich Tawunrat Chalothorn P. Vateekul 74 5 0 04 Aug 2019
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods Aditya Mogadala M. Kalimuthu Dietrich Klakow VLM 141 136 0 22 Jul 2019
Norms for Beneficial A.I.: A Computational Analysis of the Societal Value Alignment Problem Pedro M. Fernandes Francisco C. Santos Manuel Lopes 45 11 0 26 Jun 2019
Exposure Bias versus Self-Recovery: Are Distortions Really Incremental for Autoregressive Text Generation? Tianxing He Jingzhao Zhang Zhiming Zhou James R. Glass 111 32 0 25 May 2019
An Information Theoretic Interpretation to Deep Neural Networks Shao-Lun Huang Xiangxiang Xu Lizhong Zheng G. Wornell FAtt 95 44 0 16 May 2019
An Attentive Survey of Attention Models S. Chaudhari Varun Mithal Gungor Polatkan R. Ramanath 194 666 0 05 Apr 2019
A Brain-inspired Algorithm for Training Highly Sparse Neural Networks Zahra Atashgahi Joost Pieterse Shiwei Liu Decebal Constantin Mocanu Raymond N. J. Veldhuis Mykola Pechenizkiy 83 15 0 17 Mar 2019
Investigating Antigram Behaviour using Distributional Semantics Saptarshi Sengupta 36 0 0 15 Jan 2019
Automated Machine Learning: From Principles to Practices Quanming Yao Mengshuo Wang Hugo Jair Escalante Huan Zhao Qiang Yang 121 259 0 31 Oct 2018
Deep Learning for Genomics: A Concise Overview Tianwei Yue Yuanxin Wang Longxiang Zhang Chunming Gu Haohan Wang Wenping Wang Qi Lyu Yujie Dun AILaw VLM BDL 86 91 0 02 Feb 2018
Quantifying the probable approximation error of probabilistic inference programs Marco F. Cusumano-Towner Vikash K. Mansinghka 100 7 0 31 May 2016