# Dataset Condensation on Tiny ImageNet (train) Source: [Dataset Condensation on Tiny ImageNet (train)]() Collection index: [llms.txt]() Data updated: 2026-02-26T06:07:34.541Z Evaluation of Dataset Condensation performance on the training split of the Tiny ImageNet dataset, focusing on training efficiency metrics like speed and peak memory usage. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Dataset Condensation | | Dataset (including any stated split) | Tiny ImageNet (train) | | Metric | Training Speed (s/iter) | | Unit | TIME | | Direction | Lower is better | | Results loaded | 5 of 5 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Training Speed (s/iter)](): Lower is better; unit: TIME. - [Peak GPU Memory (GB)](): Lower is better; unit: SIZE. ## Recorded results | Method | Training Speed (s/iter) | Result date | Report paper | | --- | --- | --- | --- | | NCFM w/o ψ | 2.4 | Not recorded | 68fa77281e209131cea71713 | | NCFM | 3.27 | Not recorded | 68fa77281e209131cea71713 | | NCFM w/o ψ | 5.67 | Not recorded | 68fa77281e209131cea71713 | | NCFM | 7.22 | Not recorded | 68fa77281e209131cea71713 | | TESLA | 42.01 | Not recorded | 68fa77281e209131cea71713 | ### NCFM w/o ψ Training Speed (s/iter): 2.4. Result ID: 69946b593a6c3148491d1b7d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"IPC":10,"Sampling Network (psi)":false,"Hardware":"NVIDIA A100 80G"}. This record does not assert independent reproduction. ### NCFM Training Speed (s/iter): 3.27. Result ID: 69946b593a6c3148491d1b7f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"IPC":10,"Sampling Network (psi)":true,"Hardware":"NVIDIA A100 80G"}. This record does not assert independent reproduction. ### NCFM w/o ψ Training Speed (s/iter): 5.67. Result ID: 69946b593a6c3148491d1b7e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"IPC":50,"Sampling Network (psi)":false,"Hardware":"NVIDIA A100 80G"}. This record does not assert independent reproduction. ### NCFM Training Speed (s/iter): 7.22. Result ID: 69946b593a6c3148491d1b80. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"IPC":50,"Sampling Network (psi)":true,"Hardware":"NVIDIA A100 80G"}. This record does not assert independent reproduction. ### TESLA Training Speed (s/iter): 42.01. Result ID: 69946b593a6c3148491d1b7c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"IPC":10,"Hardware":"NVIDIA A100 80G"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.