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08/30/2023
Semi-supervised Domain Adaptation with Inter and Intra-domain Mixing for Semantic Segmentation
Despite recent advances in semantic segmentation, an inevitable challeng...
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08/23/2023
Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes
Large-scale well-annotated datasets are of great importance for training...
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05/10/2023
P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs
Generalized linear models (GLMs) are a widely utilized family of machine...
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04/01/2023
A Survey on Personalized Affective Computing in Human-Machine Interaction
In computing, the aim of personalization is to train a model that caters...
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02/28/2023
Protected Data Plane OS Using Memory Protection Keys and Lightweight Activation
Increasing data center network speed coupled with application requiremen...
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02/01/2023
TAP: Accelerating Large-Scale DNN Training Through Tensor Automatic Parallelisation
Model parallelism has become necessary to train large neural networks. H...
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11/15/2022
MapQA: A Dataset for Question Answering on Choropleth Maps
Choropleth maps are a common visual representation for region-specific t...
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10/24/2022
The Case for Accelerating BFT Protocols Using In-Network Ordering
Mission critical systems deployed in data centers today are facing more ...
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08/03/2022
Mixed Fault Tolerance Protocols with Trusted Execution Environment
Blockchain systems are designed, built and operated in the presence of f...
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09/06/2021
Finding Counterexamples of Temporal Logic properties in Software Implementations via Greybox Fuzzing
Software model checking is a verification technique which is widely used...
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12/28/2020
SimBricks: End-to-End Network System Evaluation with Modular Simulation
Full system "end-to-end" measurements in physical testbeds are the gold ...
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04/18/2019
Harmonia: Near-Linear Scalability for Replicated Storage with In-Network Conflict Detection
Distributed storage employs replication to mask failures and improve ava...
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05/25/2018
