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1.

Classical data structures that can outperform learned indexes (2018)

dawn.cs.stanford.edu

5 years ago

252 points

2.

DAWN: Tools for AI and Data Product Development

dawn.cs.stanford.edu

9 years ago

indescions_2017

215 points

3.

Classical Data Structures That Can Outperform Learned Indexes

dawn.cs.stanford.edu

8 years ago

139 points

4.

HALP: High-Accuracy Low-Precision Training

dawn.cs.stanford.edu

8 years ago

103 points

5.

Filter Before You Parse: Faster Analytics on Raw Data with Sparser

dawn.cs.stanford.edu

8 years ago

86 points

6.

Implementing a Fast Research Compiler in Rust

dawn.cs.stanford.edu

9 years ago

72 points

7.

Why Train What You Can Code? Rekall: A Compositional Approach to Video Analysis

dawn.cs.stanford.edu

7 years ago

7 points

8.

Moment-based quantile sketches for efficient aggregation

dawn.cs.stanford.edu

8 years ago

6 points

9.

Stanford DAWN Project

dawn.cs.stanford.edu

9 years ago

6 points

10.

Classical Data Structures That Can Outperform Learned Indexes

dawn.cs.stanford.edu

5 years ago

5 points

11.

New high score on GLUE mixes transfer learning/MTL/weak supervision/ensembling

dawn.cs.stanford.edu

7 years ago

5 points

12.

Optimizing Data-Intensive Computations in Existing Libraries w/Split Annotations

dawn.cs.stanford.edu

7 years ago

4 points

13.

DAWNBench v1 Deep Learning Benchmark Results

dawn.cs.stanford.edu

8 years ago

4 points

14.

Willump: Statistical Optimizations for Fast ML Feature Computation

dawn.cs.stanford.edu

6 years ago

3 points

15.

Moment-based quantile sketches for efficient aggregation

dawn.cs.stanford.edu

8 years ago

3 points

16.

Stanford DAWN Deep Learning Benchmark (DAWNBench)

dawn.cs.stanford.edu

8 years ago

3 points

17.

DAWNBench: An End-To-End Deep Learning Benchmark and Competition

dawn.cs.stanford.edu

9 years ago

3 points

18.

Classical data structures that can outperform learned indexes

dawn.cs.stanford.edu

2 years ago

2 points

19.

A Statistically-Aware End-to-End Optimizer for Machine Learning Inference

dawn.cs.stanford.edu

7 years ago

2 points

20.

Model Assertions as a Tool for Quality Assurance and Improving ML Models

dawn.cs.stanford.edu

7 years ago

2 points

21.

Moment-based quantile sketches for efficient aggregation

dawn.cs.stanford.edu

8 years ago

2 points

22.

Earthquake Hunting with Efficient Time Series Similarity Search

dawn.cs.stanford.edu

8 years ago

2 points

23.

Google TPU outperforms competition on ImageNet training performance benchmark

dawn.cs.stanford.edu

8 years ago

2 points

24.

DAWNBench – Stanford Deep Learning Benchmark

dawn.cs.stanford.edu

8 years ago

2 points

25.

Weak Supervision: The New Programming Paradigm for Machine Learning

dawn.cs.stanford.edu

9 years ago

2 points

26.

Automatic Time Series Smoothing with ASAP – Stanford DAWN

dawn.cs.stanford.edu

9 years ago

2 points

27.

Optimizing Data-Intensive Computations with Split Annotations

dawn.cs.stanford.edu

7 years ago

1 points

28.

Moment-based quantile sketches for efficient aggregation

dawn.cs.stanford.edu

8 years ago

1 points

29.

Moment-based quantile sketches for efficient aggregation

dawn.cs.stanford.edu

8 years ago

1 points

30.

Moment-based quantile sketches for efficient aggregation

dawn.cs.stanford.edu

8 years ago

1 points