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"DocParser: Hierarchical Document Structure Parsing from Renderings" and "MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements"
Publications
accepted at 35th AAAI Conference on Artificial Intelligence (AAAI-21)
"A Principled Approach to Data Valuation for Federated Learning" published
Publications
in the book "Federated Learning: Privacy and Incentive"
"Ease.ML: A Lifecycle Management System for Machine Learning"
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accepted at the Conference on Innovative Data Systems Research (CIDR 2021)
"Learning User Representations with Hypercuboids for Recommender Systems" accepted
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at WSDM 2021
"Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions"
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accepted at VLDB 2021
Paper describing Coyote, an FPGA shell for Enzian, accepted at
Publications
the 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI '20)
Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation
Publications
accepted for publication in Findings of EMNLP
Sequence Labelling and Sequence Classification with Gaze: Novel Uses of Eye-Tracking Data for Natural Language Processing published in
Publications
The Language and Linguistics Compass
Paper by Kaan Kara accepted to ACM Transactions on Reconfigurable Technology and Systems (TRETS)
Publications
"PipeArch: Generic and Context-Switch Capable Data Processing on FPGAs" accepted to TRETS
"One Forest: Towards a Global Species Dataset by Fusing Remote Sensing and Citizen Science Data with Graph Neural Networks"
Publications
Accepted at Fragile Earth Workshop at KDD2020
Compressive Sensing Using Iterative Hard Thresholding with Low Precision Data Representation: Theory and Applications
Publications
Accepted for publication in IEEE Transactions on Signal Processing Journal
Distributed Learning Systems with First-Order Methods
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Monograph co-authored by Ce Zhang to be published in "Foundations and Trends in Databases"
Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development
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Demo "Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development" accepted at VLDB 2020
Don't Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript
Publications
"Don't Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript" accepted at ICML 2020