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SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation
Research article (2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023) · cited 17× · AI/ML
SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation
Summary
SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation is a scholarly article[1].
Key Facts
SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation. Retrieved May 24, 2026, from https://4ort.xyz/entity/sal-vit-towards-latency-efficient-private-inference-on-vit-using-selective-attention-search-with-a-learnable-softmax-app
MLA“SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sal-vit-towards-latency-efficient-private-inference-on-vit-using-selective-attention-search-with-a-learnable-softmax-app.
BibTeX@misc{4ortxyz_sal-vit-towards-latency-efficient-private-inference-on-vit-using-selective-attention-search-with-a-learnable-softmax-app_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation}}, year = {2026}, url = {https://4ort.xyz/entity/sal-vit-towards-latency-efficient-private-inference-on-vit-using-selective-attention-search-with-a-learnable-softmax-app}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation — https://4ort.xyz/entity/sal-vit-towards-latency-efficient-private-inference-on-vit-using-selective-attention-search-with-a-learnable-softmax-app (retrieved 2026-05-24)