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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 36 / No. 1: AAAI-22 Technical Tracks 1

Playing Lottery Tickets with Vision and Language

February 1, 2023

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Authors

Zhe Gan

Microsoft


Yen-Chun Chen

Microsoft


Linjie Li

Microsoft


Tianlong Chen

Unversity of Texas at Austin


Yu Cheng

Microsoft Research


Shuohang Wang

Microsoft


Jingjing Liu

Tsinghua University


Lijuan Wang

Microsoft


Zicheng Liu

Microsoft


DOI:

10.1609/aaai.v36i1.19945


Abstract:

Large-scale pre-training has recently revolutionized vision-and-language (VL) research. Models such as LXMERT and UNITER have significantly lifted the state of the art over a wide range of VL tasks. However, the large number of parameters in such models hinders their application in practice. In parallel, work on the lottery ticket hypothesis (LTH) has shown that deep neural networks contain small matching subnetworks that can achieve on par or even better performance than the dense networks when trained in isolation. In this work, we perform the first empirical study to assess whether such trainable subnetworks also exist in pre-trained VL models. We use UNITER as the main testbed (also test on LXMERT and ViLT), and consolidate 7 representative VL tasks for experiments, including visual question answering, visual commonsense reasoning, visual entailment, referring expression comprehension, image-text retrieval, GQA, and NLVR2. Through comprehensive analysis, we summarize our main findings as follows. (i) It is difficult to find subnetworks that strictly match the performance of the full model. However, we can find relaxed winning tickets at 50%-70% sparsity that maintain 99% of the full accuracy. (ii) Subnetworks found by task-specific pruning transfer reasonably well to the other tasks, while those found on the pre-training tasks at 60%/70% sparsity transfer universally, matching 98%/96% of the full accuracy on average over all the tasks. (iii) Besides UNITER, other models such as LXMERT and ViLT can also play lottery tickets. However, the highest sparsity we can achieve for ViLT is far lower than LXMERT and UNITER (30% vs. 70%). (iv) LTH also remains relevant when using other training methods (e.g., adversarial training).

Topics: AAAI

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HOW TO CITE:

Zhe Gan||Yen-Chun Chen||Linjie Li||Tianlong Chen||Yu Cheng||Shuohang Wang||Jingjing Liu||Lijuan Wang||Zicheng Liu Playing Lottery Tickets with Vision and Language Proceedings of the AAAI Conference on Artificial Intelligence (2022) 652-660.

Zhe Gan||Yen-Chun Chen||Linjie Li||Tianlong Chen||Yu Cheng||Shuohang Wang||Jingjing Liu||Lijuan Wang||Zicheng Liu Playing Lottery Tickets with Vision and Language AAAI 2022, 652-660.

Zhe Gan||Yen-Chun Chen||Linjie Li||Tianlong Chen||Yu Cheng||Shuohang Wang||Jingjing Liu||Lijuan Wang||Zicheng Liu (2022). Playing Lottery Tickets with Vision and Language. Proceedings of the AAAI Conference on Artificial Intelligence, 652-660.

Zhe Gan||Yen-Chun Chen||Linjie Li||Tianlong Chen||Yu Cheng||Shuohang Wang||Jingjing Liu||Lijuan Wang||Zicheng Liu. Playing Lottery Tickets with Vision and Language. Proceedings of the AAAI Conference on Artificial Intelligence 2022 p.652-660.

Zhe Gan||Yen-Chun Chen||Linjie Li||Tianlong Chen||Yu Cheng||Shuohang Wang||Jingjing Liu||Lijuan Wang||Zicheng Liu. 2022. Playing Lottery Tickets with Vision and Language. "Proceedings of the AAAI Conference on Artificial Intelligence". 652-660.

Zhe Gan||Yen-Chun Chen||Linjie Li||Tianlong Chen||Yu Cheng||Shuohang Wang||Jingjing Liu||Lijuan Wang||Zicheng Liu. (2022) "Playing Lottery Tickets with Vision and Language", Proceedings of the AAAI Conference on Artificial Intelligence, p.652-660

Zhe Gan||Yen-Chun Chen||Linjie Li||Tianlong Chen||Yu Cheng||Shuohang Wang||Jingjing Liu||Lijuan Wang||Zicheng Liu, "Playing Lottery Tickets with Vision and Language", AAAI, p.652-660, 2022.

Zhe Gan||Yen-Chun Chen||Linjie Li||Tianlong Chen||Yu Cheng||Shuohang Wang||Jingjing Liu||Lijuan Wang||Zicheng Liu. "Playing Lottery Tickets with Vision and Language". Proceedings of the AAAI Conference on Artificial Intelligence, 2022, p.652-660.

Zhe Gan||Yen-Chun Chen||Linjie Li||Tianlong Chen||Yu Cheng||Shuohang Wang||Jingjing Liu||Lijuan Wang||Zicheng Liu. "Playing Lottery Tickets with Vision and Language". Proceedings of the AAAI Conference on Artificial Intelligence, (2022): 652-660.

Zhe Gan||Yen-Chun Chen||Linjie Li||Tianlong Chen||Yu Cheng||Shuohang Wang||Jingjing Liu||Lijuan Wang||Zicheng Liu. Playing Lottery Tickets with Vision and Language. AAAI[Internet]. 2022[cited 2023]; 652-660.


ISSN: 2374-3468


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Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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