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20072023
most citedSparks of Artificial General Intelligence: Early experiments with GPT-4

1.6k citations · 2.2k across the 31 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.NI2019★ 25 cited

Reinforcement learning for bandwidth estimation and congestion control in real-time communications

Joyce Fang, Martin Ellis, Bin Li +11

Bandwidth estimation and congestion control for real-time communications (i.e., audio and video conferencing) remains a difficult problem, despite many years of research. Achieving…

cs.DB2019

Multi-version Indexing in Flash-based Key-Value Stores

Pulkit A. Misra, Jeffrey S. Chase, Johannes Gehrke +1

Maintaining multiple versions of data is popular in key-value stores since it increases concurrency and improves performance. However, designing a multi-version key-value store ent…

cs.SD2019★ 16 cited

A scalable noisy speech dataset and online subjective test framework

Chandan K. A. Reddy, Ebrahim Beyrami, Jamie Pool +3

Background noise is a major source of quality impairments in Voice over Internet Protocol (VoIP) and Public Switched Telephone Network (PSTN) calls. Recent work shows the efficacy…

cs.SD2019

Supervised Classifiers for Audio Impairments with Noisy Labels

Chandan K A Reddy, Ross Cutler, Johannes Gehrke

Voice-over-Internet-Protocol (VoIP) calls are prone to various speech impairments due to environmental and network conditions resulting in bad user experience. A reliable audio imp…

cs.DB2019★ 273 cited

ALEX: An Updatable Adaptive Learned Index

Jialin Ding, Umar Farooq Minhas, Jia Yu +9

Recent work on "learned indexes" has changed the way we look at the decades-old field of DBMS indexing. The key idea is that indexes can be thought of as "models" that predict the…

cs.DB2019★ 23 cited

An Empirical Analysis of Deep Learning for Cardinality Estimation

Jennifer Ortiz, Magdalena Balazinska, Johannes Gehrke +1

We implement and evaluate deep learning for cardinality estimation by studying the accuracy, space and time trade-offs across several architectures. We find that simple deep learni…

eess.AS2019★ 4 cited

Non-intrusive speech quality assessment using neural networks

Anderson R. Avila, Hannes Gamper, Chandan Reddy +3

Estimating the perceived quality of an audio signal is critical for many multimedia and audio processing systems. Providers strive to offer optimal and reliable services in order t…