Accelerating Large-Scale Dataset Distillation via Exploration-Exploitation Optimization | ScienceToStartup | ScienceToStartup

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References (41)

[1]

Towards Universal Dataset Distillation via Task-Driven Diffusion

2025Ding Qi, Jian Li et al.

[2]

Enhancing Dataset Distillation via Non-Critical Region Refinement

2025Minh-Tuan Tran, Trung Le et al.

[3]

Rethinking Large-scale Dataset Compression: Shifting Focus From Labels to Images

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"E^2D accelerates large-scale dataset distillation by optimizing redundant computation, enhancing efficiency, and improving accuracy over state-of-the-art methods."

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Accelerating Large-Scale Dataset Distillation via Exploration-Exploitation Optimization

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References (41)

Founder's Pitch

"E^2D accelerates large-scale dataset distillation by optimizing redundant computation, enhancing efficiency, and improving accuracy over state-of-the-art methods."

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Accelerating Large-Scale Dataset Distillation via Exploration-Exploitation Optimization

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References (41)

Founder's Pitch

"E^2D accelerates large-scale dataset distillation by optimizing redundant computation, enhancing efficiency, and improving accuracy over state-of-the-art methods."

Commercial Viability Breakdown

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