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Supervised Contrastive Learning for Pre-trained Language Model
  Fine-tuning

Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning

3 November 2020
Beliz Gunel
Jingfei Du
Alexis Conneau
Ves Stoyanov
ArXivPDFHTML

Papers citing "Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning"

50 / 74 papers shown
Title
DMRL: Data- and Model-aware Reward Learning for Data Extraction
DMRL: Data- and Model-aware Reward Learning for Data Extraction
Zhiqiang Wang
Ruoxi Cheng
26
0
0
07 May 2025
Evaluating Contrastive Feedback for Effective User Simulations
Evaluating Contrastive Feedback for Effective User Simulations
Andreas Konstantin Kruff
Timo Breuer
Philipp Schaer
16
0
0
05 May 2025
Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings
Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings
Ivan Montoya Sanchez
Shaswata Mitra
Aritran Piplai
Sudip Mittal
44
0
0
25 Apr 2025
LOCO-EPI: Leave-one-chromosome-out (LOCO) as a benchmarking paradigm for deep learning based prediction of enhancer-promoter interactions
LOCO-EPI: Leave-one-chromosome-out (LOCO) as a benchmarking paradigm for deep learning based prediction of enhancer-promoter interactions
Muhammad Tahir
Shehroz S. Khan
James Davie
Soichiro Yamanaka
A. Ashraf
47
1
0
01 Apr 2025
Multi-level Supervised Contrastive Learning
Multi-level Supervised Contrastive Learning
Naghmeh Ghanooni
Barbod Pajoum
Harshit Rawal
Sophie Fellenz
Vo Nguyen Le Duy
Marius Kloft
86
0
0
04 Feb 2025
Fact-Preserved Personalized News Headline Generation
Fact-Preserved Personalized News Headline Generation
Zhao Yang
Junhong Lian
Xiang Ao
72
1
0
21 Jan 2025
Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models
Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models
Benjamin Laufer
Jon M. Kleinberg
Hoda Heidari
55
8
0
03 Jan 2025
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting
  Contrastive Learning for Text Classification
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification
Guanyi Mou
Yichuan Li
Kyumin Lee
26
3
0
26 Sep 2024
Constrained Multi-Layer Contrastive Learning for Implicit Discourse
  Relationship Recognition
Constrained Multi-Layer Contrastive Learning for Implicit Discourse Relationship Recognition
Yiheng Wu
Junhui Li
Muhua Zhu
19
0
0
07 Sep 2024
UniDEC : Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification
UniDEC : Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification
Siddhant Kharbanda
Devaansh Gupta
K. Gururaj
Pankaj Malhotra
Cho-Jui Hsieh
Rohit Babbar
Rohit Babbar
33
0
0
04 May 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Lecheng Zheng
Baoyu Jing
Zihao Li
Hanghang Tong
Jingrui He
VLM
30
19
0
30 Mar 2024
Persona Extraction Through Semantic Similarity for Emotional Support
  Conversation Generation
Persona Extraction Through Semantic Similarity for Emotional Support Conversation Generation
Seunghee Han
Se Jin Park
Chae Won Kim
Y. Ro
27
1
0
07 Mar 2024
Supervised Contrastive Representation Learning: Landscape Analysis with
  Unconstrained Features
Supervised Contrastive Representation Learning: Landscape Analysis with Unconstrained Features
Tina Behnia
Christos Thrampoulidis
SSL
31
0
0
29 Feb 2024
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for
  Optimized Learning Fusion
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion
Zijun Long
George Killick
Lipeng Zhuang
Gerardo Aragon Camarasa
Zaiqiao Meng
R. McCreadie
VLM
37
2
0
22 Feb 2024
PASCL: Supervised Contrastive Learning with Perturbative Augmentation
  for Particle Decay Reconstruction
PASCL: Supervised Contrastive Learning with Perturbative Augmentation for Particle Decay Reconstruction
Junjian Lu
Siwei Liu
Dmitrii Kobylianski
Etienne Dreyer
Eilam Gross
Shangsong Liang
29
3
0
18 Feb 2024
Injecting Wiktionary to improve token-level contextual representations
  using contrastive learning
Injecting Wiktionary to improve token-level contextual representations using contrastive learning
Anna Mosolova
Marie Candito
Carlos Ramisch
24
0
0
12 Feb 2024
Adaptive Hypergraph Network for Trust Prediction
Adaptive Hypergraph Network for Trust Prediction
Rongwei Xu
Guanfeng Liu
Yan Wang
Xuyun Zhang
Kai Zheng
Xiaofang Zhou
19
0
0
07 Feb 2024
Institutional Platform for Secure Self-Service Large Language Model Exploration
Institutional Platform for Secure Self-Service Large Language Model Exploration
V. Bumgardner
Mitchell A. Klusty
W. V. Logan
Samuel E. Armstrong
Caylin D. Hickey
Jeff Talbert
Caylin Hickey
Jeff Talbert
48
1
0
01 Feb 2024
Retrofitting Light-weight Language Models for Emotions using Supervised
  Contrastive Learning
Retrofitting Light-weight Language Models for Emotions using Supervised Contrastive Learning
Sapan Shah
Sreedhar Reddy
Pushpak Bhattacharyya
13
0
0
29 Oct 2023
RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot
  Document-Level Relation Extraction
RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction
Shiao Meng
Xuming Hu
Aiwei Liu
Shuang Li
Fukun Ma
Yawen Yang
Lijie Wen
30
7
0
24 Oct 2023
Symmetric Neural-Collapse Representations with Supervised Contrastive
  Loss: The Impact of ReLU and Batching
Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching
Ganesh Ramachandra Kini
V. Vakilian
Tina Behnia
Jaidev Gill
Christos Thrampoulidis
17
1
0
13 Jun 2023
BUCA: A Binary Classification Approach to Unsupervised Commonsense Question Answering
BUCA: A Binary Classification Approach to Unsupervised Commonsense Question Answering
Jie He
U. SimonChiLok
Víctor Gutiérrez-Basulto
Jeff Z. Pan
33
10
0
25 May 2023
What are the Desired Characteristics of Calibration Sets? Identifying
  Correlates on Long Form Scientific Summarization
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization
Griffin Adams
Bichlien H. Nguyen
Jake A. Smith
Yingce Xia
Shufang Xie
Anna Ostropolets
Budhaditya Deb
Yuan Chen
Tristan Naumann
Noémie Elhadad
22
8
0
12 May 2023
Cluster-Level Contrastive Learning for Emotion Recognition in
  Conversations
Cluster-Level Contrastive Learning for Emotion Recognition in Conversations
Kailai Yang
Tianlin Zhang
Hassan Alhuzali
Sophia Ananiadou
29
43
0
07 Feb 2023
Effective End-to-End Vision Language Pretraining with Semantic Visual
  Loss
Effective End-to-End Vision Language Pretraining with Semantic Visual Loss
Xiaofeng Yang
Fayao Liu
Guosheng Lin
VLM
19
7
0
18 Jan 2023
Continual Contrastive Finetuning Improves Low-Resource Relation
  Extraction
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction
Wenxuan Zhou
Sheng Zhang
Tristan Naumann
Muhao Chen
Hoifung Poon
46
6
0
21 Dec 2022
NBC-Softmax : Darkweb Author fingerprinting and migration tracking
NBC-Softmax : Darkweb Author fingerprinting and migration tracking
Gayan K. Kulatilleke
Shekhar S. Chandra
Marius Portmann
34
0
0
15 Dec 2022
Feature-Level Debiased Natural Language Understanding
Feature-Level Debiased Natural Language Understanding
Yougang Lyu
Piji Li
Yechang Yang
Maarten de Rijke
Pengjie Ren
Yukun Zhao
Dawei Yin
Z. Ren
26
10
0
11 Dec 2022
Finetune like you pretrain: Improved finetuning of zero-shot vision
  models
Finetune like you pretrain: Improved finetuning of zero-shot vision models
Sachin Goyal
Ananya Kumar
Sankalp Garg
Zico Kolter
Aditi Raghunathan
CLIP
VLM
27
136
0
01 Dec 2022
Revisiting Distance Metric Learning for Few-Shot Natural Language
  Classification
Revisiting Distance Metric Learning for Few-Shot Natural Language Classification
Witold Sosnowski
Anna Wróblewska
Karolina Seweryn
P. Gawrysiak
18
0
0
28 Nov 2022
Distance Metric Learning Loss Functions in Few-Shot Scenarios of
  Supervised Language Models Fine-Tuning
Distance Metric Learning Loss Functions in Few-Shot Scenarios of Supervised Language Models Fine-Tuning
Witold Sosnowski
Karolina Seweryn
Anna Wróblewska
P. Gawrysiak
20
0
0
28 Nov 2022
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data
  Sizes
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes
Yiqiao Jin
Xiting Wang
Y. Hao
Yizhou Sun
Xing Xie
33
11
0
24 Nov 2022
Estimating Soft Labels for Out-of-Domain Intent Detection
Estimating Soft Labels for Out-of-Domain Intent Detection
Hao Lang
Yinhe Zheng
Jian Sun
Feiling Huang
Luo Si
Yongbin Li
28
15
0
10 Nov 2022
WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model
  for Financial Domain
WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain
Raj Sanjay Shah
Kunal Chawla
Dheeraj Eidnani
Agam Shah
Wendi Du
S. Chava
Natraj Raman
Charese Smiley
Jiaao Chen
Diyi Yang
AIFin
26
103
0
31 Oct 2022
SDCL: Self-Distillation Contrastive Learning for Chinese Spell Checking
SDCL: Self-Distillation Contrastive Learning for Chinese Spell Checking
Xiaotian Zhang
Hang Yan
Sun Yu
Xipeng Qiu
24
4
0
31 Oct 2022
Dictionary-Assisted Supervised Contrastive Learning
Dictionary-Assisted Supervised Contrastive Learning
Patrick Y. Wu
Richard Bonneau
Joshua A. Tucker
Jonathan Nagler
CLIP
25
0
0
27 Oct 2022
HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event
  Detection with Task-Adaptive Threshold
HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold
Rui-lan Zhang
Wei Wei
Xian-Ling Mao
Rui Fang
Dangyang Chen
30
11
0
17 Oct 2022
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect
  Category Detection
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection
Fei Zhao
Yuchen Shen
Zhanghua Wu
Xinyu Dai
33
11
0
09 Oct 2022
Few-shot Text Classification with Dual Contrastive Consistency
Few-shot Text Classification with Dual Contrastive Consistency
Liwen Sun
Jiawei Han
19
0
0
29 Sep 2022
Whodunit? Learning to Contrast for Authorship Attribution
Whodunit? Learning to Contrast for Authorship Attribution
Bo Ai
Yuchen Wang
Yugin Tan
Samson Tan
SSL
16
16
0
23 Sep 2022
Non-Linguistic Supervision for Contrastive Learning of Sentence
  Embeddings
Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings
Yiren Jian
Chongyang Gao
Soroush Vosoughi
SSL
18
15
0
20 Sep 2022
Mere Contrastive Learning for Cross-Domain Sentiment Analysis
Mere Contrastive Learning for Cross-Domain Sentiment Analysis
Yun Luo
Fang Guo
Zihan Liu
Yue Zhang
31
15
0
18 Aug 2022
To Answer or Not to Answer? Improving Machine Reading Comprehension
  Model with Span-based Contrastive Learning
To Answer or Not to Answer? Improving Machine Reading Comprehension Model with Span-based Contrastive Learning
Yunjie Ji
Liangyu Chen
Chenxiao Dou
Baochang Ma
Xiangang Li
41
5
0
02 Aug 2022
Improving Fine-tuning of Self-supervised Models with Contrastive
  Initialization
Improving Fine-tuning of Self-supervised Models with Contrastive Initialization
Haolin Pan
Yong Guo
Qinyi Deng
Hao-Fan Yang
Yiqun Chen
Jian Chen
SSL
18
19
0
30 Jul 2022
Negative Samples are at Large: Leveraging Hard-distance Elastic Loss for
  Re-identification
Negative Samples are at Large: Leveraging Hard-distance Elastic Loss for Re-identification
Hyungtae Lee
Sungmin Eum
H. Kwon
VLM
15
4
0
20 Jul 2022
A Multi-level Supervised Contrastive Learning Framework for Low-Resource
  Natural Language Inference
A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference
Shuang Li
Xuming Hu
Li Lin
Aiwei Liu
Lijie Wen
Philip S. Yu
27
18
0
31 May 2022
New Intent Discovery with Pre-training and Contrastive Learning
New Intent Discovery with Pre-training and Contrastive Learning
Yuwei Zhang
Haode Zhang
Li-Ming Zhan
Albert Y.S. Lam
Albert Y. S. Lam
SSL
VLM
26
40
0
25 May 2022
Conditional Supervised Contrastive Learning for Fair Text Classification
Conditional Supervised Contrastive Learning for Fair Text Classification
Jianfeng Chi
Will Shand
Yaodong Yu
Kai-Wei Chang
Han Zhao
Yuan Tian
FaML
46
14
0
23 May 2022
Contrastive Learning for Improving ASR Robustness in Spoken Language
  Understanding
Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding
Yanfeng Chang
Yun-Nung Chen
20
9
0
02 May 2022
When do Contrastive Word Alignments Improve Many-to-many Neural Machine
  Translation?
When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation?
Zhuoyuan Mao
Chenhui Chu
Raj Dabre
Haiyue Song
Zhen Wan
Sadao Kurohashi
19
3
0
26 Apr 2022
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