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Peter Bailis

Networks of Networks: Complexity Class Principles Applied to Compound AI Systems Design

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Jul 23, 2024
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Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

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Mar 04, 2024
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Break the Sequential Dependency of LLM Inference Using Lookahead Decoding

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Feb 03, 2024
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Online Speculative Decoding

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Oct 17, 2023
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Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates

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Jul 28, 2021
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Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training

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Feb 17, 2021
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Leveraging Organizational Resources to Adapt Models to New Data Modalities

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Aug 23, 2020
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Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics

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Jul 25, 2020
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Similarity Search for Efficient Active Learning and Search of Rare Concepts

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Jun 30, 2020
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Chromatic Learning for Sparse Datasets

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Jun 06, 2020
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