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The rise of deep learning has marked significant progress in fields such as computer vision, natural language processing, and medical imaging, primarily through the adaptation of pre-trained models for specific tasks.
The research of feature extraction based on mfcc for speaker recognition
Zhang Wanli and Li Guoxin · 2013
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On the fi-module structure of h i ( γ n , s ) h^{i}(\gamma_{n,s}) , 2016
Amin Saied · 2016
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Piqa: Reasoning about physical commonsense in natural language, 2019
Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, and Yejin Choi · 2019
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Parameter-efficient transfer learning for nlp, 2019
Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin de Laroussilhe, Andrea Gesmundo, Mona Attariyan, and Sylvain Gelly · 2019
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Speech recognition using deep neural networks: A systematic review
Ali Bou Nassif, Ismail Shahin, Imtinan Attili, Mohammad Azzeh, and Khaled Shaalan · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019
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wav2vec: Unsupervised pre-training for speech recognition, 2019
Steffen Schneider, Alexei Baevski, Ronan Collobert, and Michael Auli · 2019
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Mikaela Angelina Uy, Quang-Hieu Pham, Binh-Son Hua, Duc Thanh Nguyen, and Sai-Kit Yeung · 2019
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wav2vec 2.0: A framework for self-supervised learning of speech representations, 2020
Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, and Michael Auli · 2020
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Recall and learn: Fine-tuning deep pretrained language models with less forgetting
Sanyuan Chen, Yutai Hou, Yiming Cui, Wanxiang Che, Ting Liu, and Xiangzhan Yu · 2020
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Investigating the performance of fine-tuned text classification models based-on bert
Samin Mohammadi and Mathieu Chapon · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu · 2020
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Big self-supervised models advance medical image classification, 2021
Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, Zachary Beaver, Jan Freyberg, Jonathan Deaton, Aaron Loh, Alan Karthikesalingam, Simon Kornblith, Ting Chen, Vivek Natarajan, and Mohammad Norouzi · 2021
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Scaling up visual and vision-language representation learning with noisy text supervision, 2021
Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc V. Le, Yunhsuan Sung, Zhen Li, and Tom Duerig · 2021
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An empirical study and analysis on open-set semi-supervised learning, 2021
Huixiang Luo, Hao Cheng, Fanxu Meng, Yuting Gao, Ke Li, Mengdan Zhang, and Xing Sun · 2021
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Learning transferable visual models from natural language supervision, 2021
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
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Deep learning-based mixed data approach for covid-19 detection
Santosh Sanjeev, Charith Chandra Sai Balne, Tudi Jayadeep Reddy, and G.Pradeep Reddy · 2021
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Filip: Fine-grained interactive language-image pre-training, 2021
Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, and Chunjing Xu · 2021
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Florence: A new foundation model for computer vision, 2021
Lu Yuan, Dongdong Chen, Yi-Ling Chen, Noel Codella, Xiyang Dai, Jianfeng Gao, Houdong Hu, Xuedong Huang, Boxin Li, Chunyuan Li, Ce Liu, Mengchen Liu, Zicheng Liu, Yumao Lu, Yu Shi, Lijuan Wang, Jianfeng Wang, Bin Xiao, Zhen Xiao, Jianwei Yang, Michael Zeng, Luowei Zhou, and Pengchuan Zhang · 2021
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Topological simplifications of hypergraphs, 2021
Youjia Zhou, Archit Rathore, Emilie Purvine, and Bei Wang · 2021
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Flamingo: a visual language model for few-shot learning, 2022
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katie Millican, Malcolm Reynolds, Roman Ring, Eliza Rutherford, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob Menick, Sebastian Borgeaud, Andrew Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, and Karen Simonyan · 2022
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Infant cry classification using transfer learning
Golla Anjali, Santosh Sanjeev, Akuraju Mounika, Gangireddy Suhas, G. Pradeep Reddy, and Yarlagadda Kshiraja · 2022
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Roentgen: Vision-language foundation model for chest x-ray generation, 2022
Trustser: On the trustworthiness of fine-tuning pre-trained speech embeddings for speech emotion recognition, 2023
Tiantian Feng, Rajat Hebbar, and Shrikanth Narayanan · 2023
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Parameter-efficient model adaptation for vision transformers, 2023
Xuehai He, Chunyuan Li, Pengchuan Zhang, Jianwei Yang, and Xin Eric Wang · 2023
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LLM-adapters: An adapter family for parameter-efficient fine-tuning of large language models
Zhiqiang Hu, Lei Wang, Yihuai Lan, Wanyu Xu, Ee-Peng Lim, Lidong Bing, Xing Xu, Soujanya Poria, and Roy Lee · 2023
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Segment anything, 2023
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick · 2023
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Yuhang Liu, Tianhao Li, Zixuan Wang, Guiquan Zhu, Yongqing Zhang, and Quan Zou · 2023
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Pierre Chambon, Christian Bluethgen, Jean-Benoit Delbrouck, Rogier Van der Sluijs, Małgorzata Połacin, Juan Manuel Zambrano Chaves, Tanishq Mathew Abraham, Shivanshu Purohit, Curtis P. Langlotz, and Akshay Chaudhari · 2022
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Rethinking attention with performers, 2022
Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamas Sarlos, Peter Hawkins, Jared Davis, Afroz Mohiuddin, Lukasz Kaiser, David Belanger, Lucy Colwell, and Adrian Weller · 2022
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Controlling conditional language models without catastrophic forgetting
Tomasz Korbak, Hady Elsahar, German Kruszewski, and Marc Dymetman · 2022
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Robust speech recognition via large-scale weak supervision, 2022
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High-resolution alma observations of transition disk candidates in lupus, 2022
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Clip also understands text: Prompting clip for phrase understanding, 2022
An Yan, Jiacheng Li, Wanrong Zhu, Yujie Lu, William Yang Wang, and Julian McAuley · 2022
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Full parameter fine-tuning for large language models with limited resources, 2023
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End-to-end speech recognition: A survey
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Low-resource efficient multi-stage tuning strategy for biomedical question answering task
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Faster and lighter llms: A survey on current challenges and way forward, 2024
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