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Four papers presented at VLDB 2023

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Two papers accepted at USENIX ATC 2022

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Three papers accepted at ICML 2021

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Two papers accepted at ACM CCS 2021

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"DocParser: Hierarchical Document Structure Parsing from Renderings" and "MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements"

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"A Principled Approach to Data Valuation for Federated Learning" published

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"Ease.ML: A Lifecycle Management System for Machine Learning"

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Paper describing Coyote, an FPGA shell for Enzian, accepted at

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Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation

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Two Systems Group papers accepted at

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"Observer Dependent Lossy Image Compression"

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Paper by Kaan Kara accepted to ACM Transactions on Reconfigurable Technology and Systems (TRETS)

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Compressive Sensing Using Iterative Hard Thresholding with Low Precision Data Representation: Theory and Applications

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Distributed Learning Systems with First-Order Methods

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Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development

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Don't Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript

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