Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms

2 October 2017

Papers citing "Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms"

7 / 7 papers shown

Title
Learning to Select from Multiple Options Jiangshu Du Wenpeng Yin Congying Xia Philip S. Yu 32 7 0 01 Dec 2022
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT Lichao Sun Kazuma Hashimoto Wenpeng Yin Akari Asai Jia Li Philip Yu Caiming Xiong SILM AAML 12 101 0 27 Feb 2020
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 190 576 0 02 May 2018
Neural Semantic Encoders Tsendsuren Munkhdalai Hong-ye Yu 216 131 0 14 Jul 2016
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 201 1,367 0 06 Jun 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,926 0 17 Aug 2015
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014