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[ICSE'22] Muffin: Testing Deep Learning Libraries via Neural Architecture Fuzzing
(library-testing) View

ICSE2022 - Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source
(Anjiang Wei) View

Slide presentation of
(YUQUN ZHANG) View

EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries
(Jiannan Wang) View

ICSE 22: On the Importance of Building High-quality Training Datasets for Neural Code Search
(Zhensu Sun) View

ICSE'22: Smoke testing for machine learning: simple tests to discover severe bugs
(Smart SHARK) View

[ICSE 2022] µAFL: Non-intrusive Feedback-driven Fuzzing for Microcontroller Firmware
(Wenqiang Li) View

ICSE'22: Decomposing Convolutional Neural Network into reusable and replaceable modules
(Rangeet Pan) View

Deep Learning Library Testing via Effective Model Generation (Video, ESEC/FSE 2020)
(ACM SIGSOFT) View

Selectively Combining Multiple Coverage Goals in Search-BasedUnit Test Generation (ASE '22)
(zc z) View

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