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Apparate: Early-Exit Models for ML Latency and Throughput Optimization - Conclusion, References

3 Oct 2024

Apparate: A system that optimizes ML model inference by using adaptive early exits, reducing latency without sacrificing throughput or accuracy.

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Apparate: Early-Exit Models for ML Latency and Throughput Optimization - Additional Related Work

3 Oct 2024

Apparate: A system that optimizes ML model inference by using adaptive early exits, reducing latency without sacrificing throughput or accuracy.

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Apparate: Early-Exit Models for ML Latency and Throughput Optimization - Microbenchmarks

2 Oct 2024

Apparate: A system that optimizes ML model inference by using adaptive early exits, reducing latency without sacrificing throughput or accuracy.

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Apparate: Early-Exit Models for ML Latency and Throughput Optimization - Comparisons

2 Oct 2024

Apparate: A system that optimizes ML model inference by using adaptive early exits, reducing latency without sacrificing throughput or accuracy.

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Apparate: Early-Exit Models for ML Latency and Throughput Optimization - Overall Results

2 Oct 2024

Apparate: A system that optimizes ML model inference by using adaptive early exits, reducing latency without sacrificing throughput or accuracy.

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Apparate: Early-Exit Models for ML Latency and Throughput Optimization - Evaluation and Methodology

2 Oct 2024

Apparate: A system that optimizes ML model inference by using adaptive early exits, reducing latency without sacrificing throughput or accuracy.

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Apparate: Early-Exit Models for ML Latency and Throughput Optimization - Implementation

2 Oct 2024

Apparate: A system that optimizes ML model inference by using adaptive early exits, reducing latency without sacrificing throughput or accuracy.

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Apparate: Early-Exit Models for ML Latency and Throughput Optimization - Latency-Focused Adjustments

2 Oct 2024

Apparate: A system that optimizes ML model inference by using adaptive early exits, reducing latency without sacrificing throughput or accuracy.

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Apparate: Early-Exit Models for ML Latency and Throughput Optimization - Accurate Threshold Tuning

2 Oct 2024

Apparate: A system that optimizes ML model inference by using adaptive early exits, reducing latency without sacrificing throughput or accuracy.