Search Results for author: Sabri Eyuboglu

Found 9 papers, 8 papers with code

Simple linear attention language models balance the recall-throughput tradeoff

1 code implementation28 Feb 2024 Simran Arora, Sabri Eyuboglu, Michael Zhang, Aman Timalsina, Silas Alberti, Dylan Zinsley, James Zou, Atri Rudra, Christopher Ré

In this work, we explore whether we can improve language model efficiency (e. g. by reducing memory consumption) without compromising on recall.

Language Modelling Text Generation

Zoology: Measuring and Improving Recall in Efficient Language Models

2 code implementations8 Dec 2023 Simran Arora, Sabri Eyuboglu, Aman Timalsina, Isys Johnson, Michael Poli, James Zou, Atri Rudra, Christopher Ré

To close the gap between synthetics and real language, we develop a new formalization of the task called multi-query associative recall (MQAR) that better reflects actual language.

HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions

1 code implementation18 Sep 2022 Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Zou

HAPI is the first large-scale dataset of ML API usages and is a unique resource for studying ML-as-a-service (MLaaS).

object-detection Object Detection +4

Domino: Discovering Systematic Errors with Cross-Modal Embeddings

2 code implementations ICLR 2022 Sabri Eyuboglu, Maya Varma, Khaled Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré

In this work, we address these challenges by first designing a principled evaluation framework that enables a quantitative comparison of SDMs across 1, 235 slice discovery settings in three input domains (natural images, medical images, and time-series data).

Representation Learning Time Series Analysis

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