Neural Network Acceptability Judgments

31 May 2018

Amanpreet Singh

Papers citing "Neural Network Acceptability Judgments"

50 / 877 papers shown

Title
TextHide: Tackling Data Privacy in Language Understanding Tasks Yangsibo Huang Zhao-quan Song Danqi Chen K. Li Sanjeev Arora FedML 6 55 0 12 Oct 2020
EFSG: Evolutionary Fooling Sentences Generator Marco Di Giovanni Marco Brambilla AAML 27 2 0 12 Oct 2020
Reformulating Unsupervised Style Transfer as Paraphrase Generation Kalpesh Krishna John Wieting Mohit Iyyer 19 237 0 12 Oct 2020
SMYRF: Efficient Attention using Asymmetric Clustering Giannis Daras Nikita Kitaev Augustus Odena A. Dimakis 23 44 0 11 Oct 2020
Interpreting Multivariate Shapley Interactions in DNNs Hao Zhang Yichen Xie Longjie Zheng Die Zhang Quanshi Zhang TDI FAtt 15 7 0 10 Oct 2020
Latent Tree Learning with Ordered Neurons: What Parses Does It Produce? Yian Zhang 6 1 0 10 Oct 2020
Large Product Key Memory for Pretrained Language Models Gyuwan Kim Tae-Hwan Jung VLM KELM 15 2 0 08 Oct 2020
Unsupervised Parsing via Constituency Tests Steven Cao Nikita Kitaev Dan Klein 16 25 0 07 Oct 2020
On the Interplay Between Fine-tuning and Sentence-level Probing for Linguistic Knowledge in Pre-trained Transformers Marius Mosbach A. Khokhlova Michael A. Hedderich Dietrich Klakow 15 44 0 06 Oct 2020
GRUEN for Evaluating Linguistic Quality of Generated Text Wanzheng Zhu S. Bhat 20 60 0 06 Oct 2020
Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks Lichao Sun Congying Xia Wenpeng Yin Tingting Liang Philip S. Yu Lifang He 6 36 0 05 Oct 2020
Investigating representations of verb bias in neural language models Robert D. Hawkins Takateru Yamakoshi Thomas L. Griffiths A. Goldberg 12 28 0 05 Oct 2020
PMI-Masking: Principled masking of correlated spans Yoav Levine Barak Lenz Opher Lieber Omri Abend Kevin Leyton-Brown Moshe Tennenholtz Y. Shoham 14 72 0 05 Oct 2020
An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training Kristjan Arumae Q. Sun Parminder Bhatia 6 14 0 01 Oct 2020
AUBER: Automated BERT Regularization Hyun Dong Lee Seongmin Lee U. Kang 6 7 0 30 Sep 2020
Contrastive Distillation on Intermediate Representations for Language Model Compression S. Sun Zhe Gan Yu Cheng Yuwei Fang Shuohang Wang Jingjing Liu VLM 17 68 0 29 Sep 2020
Domain Adversarial Fine-Tuning as an Effective Regularizer Giorgos Vernikos Katerina Margatina Alexandra Chronopoulou Ion Androutsopoulos 14 15 0 28 Sep 2020
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference Bang An Jie Lyu Zhenyi Wang Chunyuan Li Changwei Hu Fei Tan Ruiyi Zhang Yifan Hu Changyou Chen AAML 12 28 0 20 Sep 2020
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data Jonathan Pilault Amine Elhattami C. Pal CLL MoE 19 89 0 19 Sep 2020
Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning Bingbing Li Zhenglun Kong Tianyun Zhang Ji Li Z. Li Hang Liu Caiwen Ding VLM 24 64 0 17 Sep 2020
Real-Time Execution of Large-scale Language Models on Mobile Wei Niu Zhenglun Kong Geng Yuan Weiwen Jiang Jiexiong Guan Caiwen Ding Pu Zhao Sijia Liu Bin Ren Yanzhi Wang MQ 20 7 0 15 Sep 2020
BoostingBERT:Integrating Multi-Class Boosting into BERT for NLP Tasks Tongwen Huang Qingyun She Junlin Zhang 27 15 0 13 Sep 2020
AMBERT: A Pre-trained Language Model with Multi-Grained Tokenization Xinsong Zhang Pengshuai Li Hang Li 14 51 0 27 Aug 2020
ConvBERT: Improving BERT with Span-based Dynamic Convolution Zihang Jiang Weihao Yu Daquan Zhou Yunpeng Chen Jiashi Feng Shuicheng Yan 32 156 0 06 Aug 2020
Better Fine-Tuning by Reducing Representational Collapse Armen Aghajanyan Akshat Shrivastava Anchit Gupta Naman Goyal Luke Zettlemoyer S. Gupta AAML 29 208 0 06 Aug 2020
Learning Representations for Axis-Aligned Decision Forests through Input Perturbation Sebastian Bruch Jan Pfeifer Mathieu Guillame-Bert 21 7 0 29 Jul 2020
Towards Debiasing Sentence Representations Paul Pu Liang Irene Z Li Emily Zheng Y. Lim Ruslan Salakhutdinov Louis-Philippe Morency 16 231 0 16 Jul 2020
Can neural networks acquire a structural bias from raw linguistic data? Alex Warstadt Samuel R. Bowman AI4CE 20 53 0 14 Jul 2020
HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable Hyper Projections Yi Tay Zhe Zhao Dara Bahri Donald Metzler Da-Cheng Juan 40 9 0 12 Jul 2020
Unsupervised Paraphrasing via Deep Reinforcement Learning A. B. Siddique Samet Oymak Vagelis Hristidis 11 56 0 05 Jul 2020
Building Interpretable Interaction Trees for Deep NLP Models Die Zhang Huilin Zhou Hao Zhang Xiaoyi Bao Da Huo Ruizhao Chen Xu Cheng Mengyue Wu Quanshi Zhang FAtt 6 3 0 29 Jun 2020
MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of Gradients Chenfei Zhu Yu Cheng Zhe Gan Furong Huang Jingjing Liu Tom Goldstein ODL 27 2 0 21 Jun 2020
SqueezeBERT: What can computer vision teach NLP about efficient neural networks? F. Iandola Albert Eaton Shaw Ravi Krishna Kurt Keutzer VLM 20 127 0 19 Jun 2020
Revisiting Few-sample BERT Fine-tuning Tianyi Zhang Felix Wu Arzoo Katiyar Kilian Q. Weinberger Yoav Artzi 30 441 0 10 Jun 2020
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines Marius Mosbach Maksym Andriushchenko Dietrich Klakow 19 352 0 08 Jun 2020
BERT Loses Patience: Fast and Robust Inference with Early Exit Wangchunshu Zhou Canwen Xu Tao Ge Julian McAuley Ke Xu Furu Wei 6 329 0 07 Jun 2020
DeBERTa: Decoding-enhanced BERT with Disentangled Attention Pengcheng He Xiaodong Liu Jianfeng Gao Weizhu Chen AAML 62 2,614 0 05 Jun 2020
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing Zihang Dai Guokun Lai Yiming Yang Quoc V. Le 31 229 0 05 Jun 2020
Syntactic Structure Distillation Pretraining For Bidirectional Encoders A. Kuncoro Lingpeng Kong Daniel Fried Dani Yogatama Laura Rimell Chris Dyer Phil Blunsom 31 33 0 27 May 2020
Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers Anne Lauscher Olga Majewska Leonardo F. R. Ribeiro Iryna Gurevych Nikolai Rozanov Goran Glavavs KELM 31 79 0 24 May 2020
CERT: Contrastive Self-supervised Learning for Language Understanding Hongchao Fang Sicheng Wang Meng Zhou Jiayuan Ding P. Xie ELM SSL 30 337 0 16 May 2020
A Systematic Assessment of Syntactic Generalization in Neural Language Models Jennifer Hu Jon Gauthier Peng Qian Ethan Gotlieb Wilcox R. Levy ELM 10 212 0 07 May 2020
Spying on your neighbors: Fine-grained probing of contextual embeddings for information about surrounding words Josef Klafka Allyson Ettinger 51 42 0 04 May 2020
Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work? Yada Pruksachatkun Jason Phang Haokun Liu Phu Mon Htut Xiaoyi Zhang Richard Yuanzhe Pang Clara Vania Katharina Kann Samuel R. Bowman CLL LRM 11 194 0 01 May 2020
When BERT Plays the Lottery, All Tickets Are Winning Sai Prasanna Anna Rogers Anna Rumshisky MILM 6 185 0 01 May 2020
Cross-Linguistic Syntactic Evaluation of Word Prediction Models Aaron Mueller Garrett Nicolai Panayiota Petrou-Zeniou N. Talmina Tal Linzen 14 54 0 01 May 2020
Segatron: Segment-Aware Transformer for Language Modeling and Understanding Richard He Bai Peng Shi Jimmy J. Lin Yuqing Xie Luchen Tan Kun Xiong Wen Gao Ming Li 16 8 0 30 Apr 2020
Investigating Transferability in Pretrained Language Models Alex Tamkin Trisha Singh D. Giovanardi Noah D. Goodman MILM 38 48 0 30 Apr 2020
TAVAT: Token-Aware Virtual Adversarial Training for Language Understanding Linyang Li Xipeng Qiu 6 17 0 30 Apr 2020
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting Sanyuan Chen Yutai Hou Yiming Cui Wanxiang Che Ting Liu Xiangzhan Yu KELM CLL 10 212 0 27 Apr 2020