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SkyQuery: An Aerial Drone Video Sensing Platform
Video-based sensing from aerial drones, especially small multirotor dron...
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TagMe: GPS-Assisted Automatic Object Annotation in Videos
Training high-accuracy object detection models requires large and divers...
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Flow-Loss: Learning Cardinality Estimates That Matter
Previous approaches to learned cardinality estimation have focused on im...
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Cortex: Harnessing Correlations to Boost Query Performance
Databases employ indexes to filter out irrelevant records, which reduces...
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DBOS: A Proposal for a Data-Centric Operating System
Current operating systems are complex systems that were designed before ...
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Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads
Filtering data based on predicates is one of the most fundamental operat...
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Benchmarking Learned Indexes
Recent advancements in learned index structures propose replacing existi...
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MISIM: An End-to-End Neural Code Similarity System
Code similarity systems are integral to a range of applications from cod...
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Partitioned Learned Bloom Filter
Bloom filters are space-efficient probabilistic data structures that are...
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ExSample: Efficient Searches on Video Repositories through Adaptive Sampling
Capturing and processing video is increasingly common as cameras become ...
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Fast Mapping onto Census Blocks
Pandemic measures such as social distancing and contact tracing can be e...
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RadixSpline: A Single-Pass Learned Index
Recent research has shown that learned models can outperform state-of-th...
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Learned Garbage Collection
Several programming languages use garbage collectors (GCs) to automatica...
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Bao: Learning to Steer Query Optimizers
Query optimization remains one of the most challenging problems in data ...
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Context-Aware Parse Trees
The simplified parse tree (SPT) presented in Aroma, a state-of-the-art c...
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ARDA: Automatic Relational Data Augmentation for Machine Learning
Automatic machine learning () is a family of techniques to automate the ...
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Learning Multi-dimensional Indexes
Scanning and filtering over multi-dimensional tables are key operations ...
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SOSD: A Benchmark for Learned Indexes
A groundswell of recent work has focused on improving data management sy...
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LISA: Towards Learned DNA Sequence Search
Next-generation sequencing (NGS) technologies have enabled affordable se...
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Sherlock: A Deep Learning Approach to Semantic Data Type Detection
Correctly detecting the semantic type of data columns is crucial for dat...
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VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository
Researchers currently rely on ad hoc datasets to train automated visuali...
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Neo: A Learned Query Optimizer
Query optimization is one of the most challenging problems in database s...
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SysML: The New Frontier of Machine Learning Systems
Machine learning (ML) techniques are enjoying rapidly increasing adoptio...
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How I Learned to Stop Worrying and Love Re-optimization
Cost-based query optimizers remain one of the most important components ...
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Custodes: Auditable Hypothesis Testing
We present Custodes: a new approach to solving the complex issue of prev...
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Chiller: Contention-centric Transaction Execution and Data Partitioning for Fast Networks
Distributed transactions on high-overhead TCP/IP-based networks were con...
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VizRec: A framework for secure data exploration via visual representation
Visual representations of data (visualizations) are tools of great impor...
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Unknown Examples & Machine Learning Model Generalization
Over the past decades, researchers and ML practitioners have come up wit...
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VizML: A Machine Learning Approach to Visualization Recommendation
Data visualization should be accessible for all analysts with data, not ...
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Automated Data Slicing for Model Validation:A Big data - AI Integration Approach
As machine learning systems become democratized, it becomes increasingly...
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Slice Finder: Automated Data Slicing for Model Validation
As machine learning (ML) systems become democratized, it becomes increas...
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Slice Finder: Automated Data Sclicing for Model Validation
As machine learning (ML) systems become democratized, it becomes increas...
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Smallify: Learning Network Size while Training
As neural networks become widely deployed in different applications and ...
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IDEBench: A Benchmark for Interactive Data Exploration
Existing benchmarks for analytical database systems such as TPC-DS and T...
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A-Tree: A Bounded Approximate Index Structure
Index structures are one of the most important tools that DBAs leverage ...
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SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks
Going deeper and wider in neural architectures improves the accuracy, wh...
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The Case for Learned Index Structures
Indexes are models: a B-Tree-Index can be seen as a model to map a key t...
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