Papers › USB: A Unified Semi-supervised Learning Benchmark for Classification

USB: A Unified Semi-supervised Learning Benchmark for Classification

12 Aug 2022arXiv:2208.07204archive 2025-07-28

Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, RenJie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang

Semi-supervised learning (SSL) improves model generalization by leveraging massive unlabeled data to augment limited labeled samples. However, currently, popular SSL evaluation protocols are often constrained to computer vision (CV) tasks. In addition, previous work typically trains deep neural networks from scratch, which is time-consuming and environmentally unfriendly. To address the above issues, we construct a Unified SSL Benchmark (USB) for classification by selecting 15 diverse, challenging, and comprehensive tasks from CV, natural language processing (NLP), and audio processing (Audio), on which we systematically evaluate the dominant SSL methods, and also open-source a modular and extensible codebase for fair evaluation of these SSL methods. We further provide the pre-trained versions of the state-of-the-art neural models for CV tasks to make the cost affordable for further tuning. USB enables the evaluation of a single SSL algorithm on more tasks from multiple domains but with less cost. Specifically, on a single NVIDIA V100, only 39 GPU days are required to evaluate FixMatch on 15 tasks in USB while 335 GPU days (279 GPU days on 4 CV datasets except for ImageNet) are needed on 5 CV tasks with TorchSSL.

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Code

Syntology Ran 9 of 9 code samples harvested from 2 repositories linked to this paper; 0 have no recorded run. Of those that ran: 4 ran · honoured contract; 5 ran · our draft was wrong.

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microsoft/semi-supervised-learning officialmentioned in papermentioned on GitHubpytorchMIT report
Westlake-AI/SemiReward mentioned on GitHubpytorch report
abbaasalif/freematch-improved mentioned on GitHubpytorch report
beandkay/epass mentioned on GitHubpytorch report
shreejalt/freematch-pytorch mentioned on GitHubpytorch report

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4ran · honoured contract
5ran · our draft was wrong

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add_gaussian_noise Westlake-AI/SemiReward/semilearn/algorithms/semireward/semireward.py community (archive-listed) ran · honoured contract fingerprinted Apache-2.0 (permissive) · 2ece83a7233a5806 · report
comatch_contrastive_loss beandkay/epass/semilearn/algorithms/comatch/comatch.py community (archive-listed) ran · honoured contract MIT (permissive) · 3346c66c873fff6a · report
cosine_similarity_n Westlake-AI/SemiReward/semilearn/algorithms/semireward/semireward.py community (archive-listed) ran · honoured contract fingerprinted Apache-2.0 (permissive) · 71e334da93aad8cd · report
create_usb_audio_config beandkay/epass/scripts/config_generator_usb_audio.py community (archive-listed) ran · our draft was wrong MIT (permissive) · 6fb7a7cca94b4e93 · report
create_usb_audio_config Westlake-AI/SemiReward/scripts/config_generator_usb_audio.py community (archive-listed) ran · our draft was wrong Apache-2.0 (permissive) · b805b717068a0596 · report
label_dim Westlake-AI/SemiReward/semilearn/algorithms/semireward/semireward.py community (archive-listed) ran · honoured contract fingerprinted Apache-2.0 (permissive) · d7a641a66e8832f8 · report
read_TextClassificationDatasets Westlake-AI/SemiReward/preprocess/preprocess_aclimdb.py community (archive-listed) ran · our draft was wrong Apache-2.0 (permissive) · d954c448e1eee8c4 · report
read_aclImdb Westlake-AI/SemiReward/preprocess/preprocess_aclimdb.py community (archive-listed) ran · our draft was wrong fingerprinted Apache-2.0 (permissive) · eed03e5ff5639e09 · report
select_data Westlake-AI/SemiReward/preprocess/preprocess_aclimdb.py community (archive-listed) ran · our draft was wrong fingerprinted Apache-2.0 (permissive) · 05dda2f18675eb59 · report

Tasks

General ClassificationSemi-Supervised Image Classification

1 archive task tag without a task page not shown.

Datasets

Introduced by this paper, per the archive.

Unified SSL Benchmark (USB)

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Semi-Supervised Image Classification CIFAR-100, 400 Labels ReMixMatch Percentage error 16.8 #2 of 21 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

Methods

FixMatch

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