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Continual Learning with Knowledge Transfer for Sentiment Classification

Continual Learning with Knowledge Transfer for Sentiment Classification

18 December 2021
Zixuan Ke
Bing-Quan Liu
Hao Wang
Lei Shu
    CLL
ArXiv (abs)PDFHTML

Papers citing "Continual Learning with Knowledge Transfer for Sentiment Classification"

17 / 17 papers shown
OpenCML: End-to-End Framework of Open-world Machine Learning to Learn Unknown Classes Incrementally
OpenCML: End-to-End Framework of Open-world Machine Learning to Learn Unknown Classes Incrementally
Jitendra Parmar
Praveen Singh Thakur
CLLVLM
264
0
0
23 Nov 2025
CLoG: Benchmarking Continual Learning of Image Generation Models
CLoG: Benchmarking Continual Learning of Image Generation Models
Haotian Zhang
Junting Zhou
Haowei Lin
Hang Ye
Jianhua Zhu
Zihao Wang
Liangcai Gao
Yizhou Wang
Yitao Liang
DiffMVLM
192
4
0
07 Jun 2024
ChronosLex: Time-aware Incremental Training for Temporal Generalization
  of Legal Classification Tasks
ChronosLex: Time-aware Incremental Training for Temporal Generalization of Legal Classification TasksAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Santosh T.Y.S.S
Tuan-Quang Vuong
Matthias Grabmair
AILawCLL
286
12
0
23 May 2024
Boosting Large Language Models with Continual Learning for Aspect-based
  Sentiment Analysis
Boosting Large Language Models with Continual Learning for Aspect-based Sentiment AnalysisConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Xuanwen Ding
Jie Zhou
Liang Dou
Qin Chen
Man Lan
Chengcai Chen
Liang He
KELMCLL
222
22
0
09 May 2024
HOP to the Next Tasks and Domains for Continual Learning in NLP
HOP to the Next Tasks and Domains for Continual Learning in NLP
Umberto Michieli
Mete Ozay
VLM
329
3
0
28 Feb 2024
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Catastrophic Forgetting in Deep Learning: A Comprehensive TaxonomyJournal of the Brazilian Computer Society (JBCS), 2023
Everton L. Aleixo
J. Colonna
Marco Cristo
Everlandio Fernandes
CLL
321
55
0
16 Dec 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis,
  and LLMs Evaluations
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs EvaluationsNeural Information Processing Systems (NeurIPS), 2023
Lifan Yuan
Yangyi Chen
Ganqu Cui
Hongcheng Gao
Fangyuan Zou
Xingyi Cheng
Heng Ji
Zhiyuan Liu
Maosong Sun
676
135
0
07 Jun 2023
Context selectivity with dynamic availability enables lifelong continual
  learning
Context selectivity with dynamic availability enables lifelong continual learningNeural Networks (Neural Netw.), 2023
M. Barry
W. Gerstner
G. Bellec
CLL
296
0
0
02 Jun 2023
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over TimeNeural Information Processing Systems (NeurIPS), 2022
Huaxiu Yao
Caroline Choi
Bochuan Cao
Yoonho Lee
Pang Wei Koh
Chelsea Finn
OOD
394
110
0
25 Nov 2022
Continual Learning of Natural Language Processing Tasks: A Survey
Continual Learning of Natural Language Processing Tasks: A Survey
Zixuan Ke
Yinan Han
KELMCLLVLM
318
107
0
23 Nov 2022
Memory Efficient Continual Learning with Transformers
Memory Efficient Continual Learning with TransformersNeural Information Processing Systems (NeurIPS), 2022
Beyza Ermis
Giovanni Zappella
Martin Wistuba
Aditya Rawal
Cédric Archambeau
CLL
328
63
0
09 Mar 2022
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
Continual Learning of a Mixed Sequence of Similar and Dissimilar TasksNeural Information Processing Systems (NeurIPS), 2021
Zixuan Ke
Bing-Quan Liu
Xingchang Huang
CLL
217
160
0
18 Dec 2021
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment
  Classification Tasks
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification TasksNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Zixuan Ke
Hu Xu
Bing-Quan Liu
CLL
532
92
0
06 Dec 2021
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment
  Classification Tasks
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification TasksConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Zixuan Ke
Bing-Quan Liu
Hu Xu
Lei Shu
CLL
217
66
0
05 Dec 2021
Achieving Forgetting Prevention and Knowledge Transfer in Continual
  Learning
Achieving Forgetting Prevention and Knowledge Transfer in Continual LearningNeural Information Processing Systems (NeurIPS), 2021
Zixuan Ke
Bing-Quan Liu
Nianzu Ma
Hu Xu
Lei Shu
CLL
453
146
0
05 Dec 2021
TaskDrop: A Competitive Baseline for Continual Learning of Sentiment
  Classification
TaskDrop: A Competitive Baseline for Continual Learning of Sentiment Classification
Jianping Mei
Yilun Zheng
Qianwei Zhou
Rui Yan
VLMCLL
305
6
0
05 Nov 2021
Online Continual Learning in Image Classification: An Empirical Survey
Online Continual Learning in Image Classification: An Empirical SurveyNeurocomputing (Neurocomputing), 2021
Zheda Mai
Ruiwen Li
Jihwan Jeong
David Quispe
Hyunwoo J. Kim
Scott Sanner
VLMCLL
630
489
0
25 Jan 2021
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