Neural Network Acceptability Judgments

31 May 2018

Amanpreet Singh

Papers citing "Neural Network Acceptability Judgments"

50 / 877 papers shown

Title
Masking as an Efficient Alternative to Finetuning for Pretrained Language Models Mengjie Zhao Tao R. Lin Fei Mi Martin Jaggi Hinrich Schütze 22 119 0 26 Apr 2020
Reevaluating Adversarial Examples in Natural Language John X. Morris Eli Lifland Jack Lanchantin Yangfeng Ji Yanjun Qi SILM AAML 20 111 0 25 Apr 2020
How fine can fine-tuning be? Learning efficient language models Evani Radiya-Dixit Xin Wang 6 63 0 24 Apr 2020
Considering Likelihood in NLP Classification Explanations with Occlusion and Language Modeling David Harbecke Christoph Alt 12 10 0 21 Apr 2020
MPNet: Masked and Permuted Pre-training for Language Understanding Kaitao Song Xu Tan Tao Qin Jianfeng Lu Tie-Yan Liu 28 1,073 0 20 Apr 2020
Adversarial Training for Large Neural Language Models Xiaodong Liu Hao Cheng Pengcheng He Weizhu Chen Yu-Chiang Frank Wang Hoifung Poon Jianfeng Gao AAML 26 183 0 20 Apr 2020
Coreferential Reasoning Learning for Language Representation Deming Ye Yankai Lin Jiaju Du Zhenghao Liu Peng Li Maosong Sun Zhiyuan Liu 26 177 0 15 Apr 2020
VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification Zhibin Lu Pan Du J. Nie 31 126 0 12 Apr 2020
Frequency, Acceptability, and Selection: A case study of clause-embedding Aaron Steven White Kyle Rawlins 17 12 0 08 Apr 2020
Improving BERT with Self-Supervised Attention Yiren Chen Xiaoyu Kou Jiangang Bai Yunhai Tong 13 10 0 08 Apr 2020
CALM: Continuous Adaptive Learning for Language Modeling Kristjan Arumae Parminder Bhatia CLL KELM 16 6 0 08 Apr 2020
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices Zhiqing Sun Hongkun Yu Xiaodan Song Renjie Liu Yiming Yang Denny Zhou MQ 8 795 0 06 Apr 2020
How Furiously Can Colourless Green Ideas Sleep? Sentence Acceptability in Context Jey Han Lau C. S. Armendariz Shalom Lappin Matthew Purver Chang Shu 6 40 0 02 Apr 2020
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training Hangbo Bao Li Dong Furu Wei Wenhui Wang Nan Yang ... Yu-Chiang Frank Wang Songhao Piao Jianfeng Gao Ming Zhou H. Hon AI4CE 22 391 0 28 Feb 2020
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers Wenhui Wang Furu Wei Li Dong Hangbo Bao Nan Yang Ming Zhou VLM 45 1,199 0 25 Feb 2020
Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation Yige Xu Xipeng Qiu L. Zhou Xuanjing Huang 17 65 0 24 Feb 2020
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding Xiaodong Liu Yu-Chiang Frank Wang Jianshu Ji Hao Cheng Xueyun Zhu ... Pengcheng He Weizhu Chen Hoifung Poon Guihong Cao Jianfeng Gao AI4CE 23 60 0 19 Feb 2020
Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping Jesse Dodge Gabriel Ilharco Roy Schwartz Ali Farhadi Hannaneh Hajishirzi Noah A. Smith 27 583 0 15 Feb 2020
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing Canwen Xu Wangchunshu Zhou Tao Ge Furu Wei Ming Zhou 221 197 0 07 Feb 2020
BLiMP: The Benchmark of Linguistic Minimal Pairs for English Alex Warstadt Alicia Parrish Haokun Liu Anhad Mohananey Wei Peng Sheng-Fu Wang Samuel R. Bowman 18 465 0 02 Dec 2019
Neural language modeling of free word order argument structure Charlotte Rochereau Benoît Sagot Emmanuel Dupoux 14 0 0 30 Nov 2019
Do Attention Heads in BERT Track Syntactic Dependencies? Phu Mon Htut Jason Phang Shikha Bordia Samuel R. Bowman 19 136 0 27 Nov 2019
Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks Trapit Bansal Rishikesh Jha Andrew McCallum SSL 11 118 0 10 Nov 2019
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization Haoming Jiang Pengcheng He Weizhu Chen Xiaodong Liu Jianfeng Gao T. Zhao 22 557 0 08 Nov 2019
What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning Jaejun Lee Raphael Tang Jimmy J. Lin 24 121 0 08 Nov 2019
MML: Maximal Multiverse Learning for Robust Fine-Tuning of Language Models Itzik Malkiel Lior Wolf 11 2 0 05 Nov 2019
Deepening Hidden Representations from Pre-trained Language Models Junjie Yang Hai Zhao 14 10 0 05 Nov 2019
Harnessing the linguistic signal to predict scalar inferences Sebastian Schuster Yuxing Chen Judith Degen 8 33 0 31 Oct 2019
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension M. Lewis Yinhan Liu Naman Goyal Marjan Ghazvininejad Abdel-rahman Mohamed Omer Levy Veselin Stoyanov Luke Zettlemoyer AIMat VLM 41 10,583 0 29 Oct 2019
Exploring Multilingual Syntactic Sentence Representations Chen Cecilia Liu Anderson de Andrade Muhammad Osama 15 4 0 25 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 77 19,422 0 23 Oct 2019
Demon: Improved Neural Network Training with Momentum Decay John Chen Cameron R. Wolfe Zhaoqi Li Anastasios Kyrillidis ODL 19 15 0 11 Oct 2019
Multilingual Question Answering from Formatted Text applied to Conversational Agents W. Siblini Charlotte Pasqual Axel Lavielle Mohamed Challal Cyril Cauchois 17 17 0 10 Oct 2019
Knowledge Distillation from Internal Representations Gustavo Aguilar Yuan Ling Yu Zhang Benjamin Yao Xing Fan Edward Guo 25 178 0 08 Oct 2019
MinWikiSplit: A Sentence Splitting Corpus with Minimal Propositions C. Niklaus André Freitas Siegfried Handschuh 10 15 0 26 Sep 2019
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Zhenzhong Lan Mingda Chen Sebastian Goodman Kevin Gimpel Piyush Sharma Radu Soricut SSL AIMat 64 6,370 0 26 Sep 2019
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 223 437 0 25 Sep 2019
CAT: Compression-Aware Training for bandwidth reduction Chaim Baskin Brian Chmiel Evgenii Zheltonozhskii Ron Banner A. Bronstein A. Mendelson MQ 9 10 0 25 Sep 2019
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models Cheolhyoung Lee Kyunghyun Cho Wanmo Kang MoE 249 205 0 25 Sep 2019
TinyBERT: Distilling BERT for Natural Language Understanding Xiaoqi Jiao Yichun Yin Lifeng Shang Xin Jiang Xiao Chen Linlin Li F. Wang Qun Liu VLM 11 1,813 0 23 Sep 2019
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices V. Chen Sen Wu Zhenzhen Weng Alexander Ratner Christopher Ré 13 56 0 13 Sep 2019
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification Yichao Zhou Jyun-Yu Jiang Kai-Wei Chang Wei Wang AAML 11 117 0 06 Sep 2019
Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs Alex Warstadt Yuning Cao Ioana Grosu Wei Peng Hagen Blix ... Jason Phang Anhad Mohananey Phu Mon Htut Paloma Jeretic Samuel R. Bowman 13 122 0 05 Sep 2019
Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity Anne Lauscher Ivan Vulić E. Ponti Anna Korhonen Goran Glavavs SSL 23 57 0 05 Sep 2019
Semantics-aware BERT for Language Understanding Zhuosheng Zhang Yuwei Wu Zhao Hai Z. Li Shuailiang Zhang Xi Zhou Xiang Zhou 19 363 0 05 Sep 2019
Transfer Fine-Tuning: A BERT Case Study Yuki Arase Junichi Tsujii 6 41 0 03 Sep 2019
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks Zi-Yi Dou Keyi Yu Antonios Anastasopoulos 8 126 0 27 Aug 2019
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Jianquan Li Xiaokang Liu Wenpeng Yin Min Yang Liqun Ma Yaohong Jin AIMat 25 13 0 16 Aug 2019
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding Wei Wang Bin Bi Ming Yan Chen Henry Wu Zuyi Bao Jiangnan Xia Liwei Peng Luo Si 20 260 0 13 Aug 2019
On Identifiability in Transformers Gino Brunner Yang Liu Damian Pascual Oliver Richter Massimiliano Ciaramita Roger Wattenhofer ViT 22 186 0 12 Aug 2019