Publications (39)
Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment
Cedric Renggli, Bojan Karlaš, Bolin Ding +4
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads
Tian Li, Jie Zhong, Ji Liu +2
CYCLADES: Conflict-free Asynchronous Machine Learning
Xinghao Pan, Maximilian Lam, Stephen Tu +6
Omnivore: An Optimizer for Multi-device Deep Learning on CPUs and GPUs
Stefan Hadjis, Ce Zhang, Ioannis Mitliagkas +2
Building a Large-scale Multimodal Knowledge Base System for Answering Visual Queries
Yuke Zhu, Ce Zhang, Christopher Ré +1
A machine-compiled macroevolutionary history of Phanerozoic life
Shanan E. Peters, Ce Zhang, Miron Livny +1
Quantitative Overfitting Management for Human-in-the-loop ML Application Development with ease.ml/meter
Frances Ann Hubis, Wentao Wu, Ce Zhang
Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width
Christopher De Sa, Ce Zhang, Kunle Olukotun +1
Taming the Wild: A Unified Analysis of Hogwild!-Style Algorithms
Christopher De Sa, Ce Zhang, Kunle Olukotun +1
Advancing NLP with Cognitive Language Processing Signals
Nora Hollenstein, Maria Barrett, Marius Troendle +3
Entity Recognition at First Sight: Improving NER with Eye Movement Information
Nora Hollenstein, Ce Zhang
Asynchronous Decentralized Parallel Stochastic Gradient Descent
Xiangru Lian, Wei Zhang, Ce Zhang +1
Using transfer learning to detect galaxy mergers
Sandro Ackermann, Kevin Schawinski, Ce Zhang +2
Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond
Heng Guo, Kaan Kara, Ce Zhang
RadioGAN - Translations between different radio surveys with generative adversarial networks
Nina Glaser, O Ivy Wong, Kevin Schawinski +1
Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning (Technical Report)
Zeke Wang, Kaan Kara, Hantian Zhang +3
Exploring galaxy evolution with generative models
Kevin Schawinski, M. Dennis Turp, Ce Zhang
PSFGAN: a generative adversarial network system for separating quasar point sources and host galaxy light
Dominic Stark, Barthelemy Launet, Kevin Schawinski +7
D$^2$: Decentralized Training over Decentralized Data
Hanlin Tang, Xiangru Lian, Ming Yan +2
Distributed Learning over Unreliable Networks
Chen Yu, Hanlin Tang, Cedric Renggli +5
ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction
Jonathan Rotsztejn, Nora Hollenstein, Ce Zhang
The ZipML Framework for Training Models with End-to-End Low Precision: The Cans, the Cannots, and a Little Bit of Deep Learning
Hantian Zhang, Jerry Li, Kaan Kara +3
$\texttt{DeepSqueeze}$: Decentralization Meets Error-Compensated Compression
Hanlin Tang, Xiangru Lian, Shuang Qiu +4
A model for AGN variability on multiple timescales
Lia F. Sartori, Kevin Schawinski, Benny Trakhtenbrot +5
Sensing Social Media Signals for Cryptocurrency News
Johannes Beck, Roberta Huang, David Lindner +4
Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks
Ivan Girardi, Pengfei Ji, An-phi Nguyen +5
Asynchrony begets Momentum, with an Application to Deep Learning
Ioannis Mitliagkas, Ce Zhang, Stefan Hadjis +1
DimmWitted: A Study of Main-Memory Statistical Analytics
Ce Zhang, Christopher Ré
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent
Xiangru Lian, Ce Zhang, Huan Zhang +3
Feature Engineering for Knowledge Base Construction
Christopher Ré, Amir Abbas Sadeghian, Zifei Shan +4
DataBright: Towards a Global Exchange for Decentralized Data Ownership and Trusted Computation
David Dao, Dan Alistarh, Claudiu Musat +1
vChain: Enabling Verifiable Boolean Range Queries over Blockchain Databases
Cheng Xu, Ce Zhang, Jianliang Xu
Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit
Kevin Schawinski, Ce Zhang, Hantian Zhang +2
MLBench: How Good Are Machine Learning Clouds for Binary Classification Tasks on Structured Data?
Yu Liu, Hantian Zhang, Luyuan Zeng +2
Scaling Inference for Markov Logic with a Task-Decomposition Approach
Feng Niu, Ce Zhang, Christopher Ré +1
Effects of electrostatic screening on the conformation of single DNA molecules confined in a nanochannel
Ce Zhang, Fang Zhang, Jeroen A. van Kan +1
AutoML from Service Provider's Perspective: Multi-device, Multi-tenant Model Selection with GP-EI
Chen Yu, Bojan Karlas, Jie Zhong +2
Caffe con Troll: Shallow Ideas to Speed Up Deep Learning
Stefan Hadjis, Firas Abuzaid, Ce Zhang +1
Incremental Knowledge Base Construction Using DeepDive
Jaeho Shin, Sen Wu, Feiran Wang +3