ise-uiuc / neuri-artifactLinks
Artifact for ESEC/FSE'23 paper "NeuRI: Diversifying DNN Generation via Inductive Rule Inference"
☆32Updated 2 years ago
Alternatives and similar repositories for neuri-artifact
Users that are interested in neuri-artifact are comparing it to the libraries listed below
Sorting:
- Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source (ICSE'22)☆82Updated 3 years ago
- Fuzzing Deep-Learning Libraries via Automated Relational API Inference (ESEC/FSE 2022)☆40Updated 2 years ago
- This is the implement repository of our upcoming ESEC/FSE 2020 paper: Deep Learning Library Testing via Effective Model Generation.☆55Updated 2 years ago
- For our ISSTA'23 paper ACETest: Automated Constraint Extraction for Testing Deep Learning Operators☆13Updated last year
- WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models (OOPSLA 2024)☆76Updated 5 months ago
- Fast and Precise On-the-fly Patch Validation for All☆10Updated 2 years ago
- Fuzzing Automatic Differentiation in Deep-Learning Libraries (ICSE'23)☆28Updated last year
- [ICSE 2023] Differentiable interpretation and failure-inducing input generation for neural network numerical bugs.☆13Updated 2 years ago
- This is the implementation repository of our ICSE'22 paper: Muffin: Testing Deep Learning Libraries via Neural Architecture Fuzzing.☆33Updated 3 years ago
- For our ISSTA22 paper "DocTer: Documentation-Guided Fuzzing for Testing Deep Learning API Functions" by Danning Xie, Yitong Li, Mijung Ki…☆39Updated 3 years ago
- A DL compiler fuzzer☆13Updated last year
- Collect simple coverage information in memory.☆11Updated 3 years ago
- For our ICSE22 paper "EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries" by Jiannan Wang, Thibaud Lutellier, Shangshu Qia…☆13Updated 2 years ago
- ☆90Updated 2 years ago
- a data collection of related work: Toward Understanding Deep Learning Framework Bugs☆16Updated 2 years ago
- Automated DNN generation for fuzz testing and more☆142Updated last year
- This is an evaluation set for the problem of directed/targeted test input generation. We use it to benchmark the ability of Large Languag…☆34Updated 10 months ago
- ☆13Updated last year
- ✅SRepair: Powerful LLM-based Program Repairer with $0.029/Fixed Bug☆73Updated last year
- A learning-guided approach for executing arbitrary Python code snippets☆16Updated last year
- This is the implementation repository of our incoming ESEC/FSE 2021 paper: Exposing Numerical Bugs in Deep Learning via GradientBack-prop…☆15Updated 3 years ago
- LLMDFA: Analyzing Dataflow in Code with Large Language Models (NeurIPS 2024)☆180Updated 3 months ago
- ☆24Updated 2 months ago
- ☆13Updated 5 months ago
- Enumerative Testing and Bounded Validation of SMT Solvers☆22Updated 6 months ago
- For our ICSE23 paper "Impact of Code Language Models on Automated Program Repair" by Nan Jiang, Kevin Liu, Thibaud Lutellier, and Lin Tan☆63Updated last year
- Tzer: TVM Implementation of "Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation (OOPSLA'22)“.☆70Updated 2 years ago
- ☆26Updated last week
- GenCoG: A DSL-Based Approach to Generating Computation Graphs for TVM Testing (ISSTA‘23)☆17Updated 2 years ago
- This is the repository for the paper titled "ThinkRepair: Self-Directed Automated Program Repair" accepted by ISSTA'24.☆27Updated 2 weeks ago