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CLLD: Contrastive Learning with Label Distance for Text Classification

CLLD: Contrastive Learning with Label Distance for Text Classification

25 October 2021
Jinhe Lan
Qingyuan Zhan
Chenhao Jiang
Kunping Yuan
Desheng Wang
    VLM
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Papers citing "CLLD: Contrastive Learning with Label Distance for Text Classification"

23 / 23 papers shown
Title
CLINE: Contrastive Learning with Semantic Negative Examples for Natural
  Language Understanding
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding
Dong Wang
Ning Ding
Pijian Li
Haitao Zheng
AAML
46
117
0
01 Jul 2021
SimCSE: Simple Contrastive Learning of Sentence Embeddings
SimCSE: Simple Contrastive Learning of Sentence Embeddings
Tianyu Gao
Xingcheng Yao
Danqi Chen
AILaw
SSL
158
3,336
0
18 Apr 2021
Prototypical Representation Learning for Relation Extraction
Prototypical Representation Learning for Relation Extraction
Ning Ding
Xiaobin Wang
Yao Fu
Guangwei Xu
Rui Wang
Pengjun Xie
Ying Shen
Fei Huang
Haitao Zheng
Rui Zhang
37
58
0
22 Mar 2021
CLEAR: Contrastive Learning for Sentence Representation
CLEAR: Contrastive Learning for Sentence Representation
Zhuofeng Wu
Sinong Wang
Jiatao Gu
Madian Khabsa
Fei Sun
Hao Ma
SSL
52
322
0
31 Dec 2020
CAPT: Contrastive Pre-Training for Learning Denoised Sequence
  Representations
CAPT: Contrastive Pre-Training for Learning Denoised Sequence Representations
Fuli Luo
Pengcheng Yang
Shicheng Li
Xuancheng Ren
Xu Sun
VLM
SSL
30
16
0
13 Oct 2020
Pretraining with Contrastive Sentence Objectives Improves Discourse
  Performance of Language Models
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models
Dan Iter
Kelvin Guu
L. Lansing
Dan Jurafsky
27
78
0
20 May 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
421
3,397
0
09 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
208
18,607
0
13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
109
12,007
0
13 Nov 2019
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language
  Models through Principled Regularized Optimization
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
62
560
0
08 Nov 2019
Learning the Difference that Makes a Difference with
  Counterfactually-Augmented Data
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
Divyansh Kaushik
Eduard H. Hovy
Zachary Chase Lipton
CML
57
567
0
26 Sep 2019
ALBERT: A Lite BERT for Self-supervised Learning of Language
  Representations
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
258
6,420
0
26 Sep 2019
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
251
440
0
25 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
398
24,160
0
26 Jul 2019
On Evaluation of Adversarial Perturbations for Sequence-to-Sequence
  Models
On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models
Paul Michel
Xian Li
Graham Neubig
J. Pino
AAML
50
136
0
15 Mar 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
943
93,936
0
11 Oct 2018
Learning deep representations by mutual information estimation and
  maximization
Learning deep representations by mutual information estimation and maximization
R. Devon Hjelm
A. Fedorov
Samuel Lavoie-Marchildon
Karan Grewal
Phil Bachman
Adam Trischler
Yoshua Bengio
SSL
DRL
242
2,649
0
20 Aug 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
222
10,152
0
10 Jul 2018
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
146
3,437
0
05 May 2018
Robust Machine Comprehension Models via Adversarial Training
Robust Machine Comprehension Models via Adversarial Training
Yicheng Wang
Joey Tianyi Zhou
AAML
57
117
0
17 Apr 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
435
129,831
0
12 Jun 2017
PTE: Predictive Text Embedding through Large-scale Heterogeneous Text
  Networks
PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks
Jian Tang
Meng Qu
Qiaozhu Mei
AI4TS
SSL
48
789
0
02 Aug 2015
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
551
13,395
0
25 Aug 2014
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