- [2210.16114] Towards Reliable Neural Specifications🔍
- Towards Reliable Neural Specifications🔍
- [2210.16114] Towards reliable neural specifications🔍
- TOWARD RELIABLE NEURAL SPECIFICATIONS🔍
- arXiv:2210.16114v1 [cs.LG] 28 Oct 2022🔍
- Toward Reliable Neural Specifications🔍
- Zhaoyue Wang🔍
- Verifying the Generalization of Deep Learning to Out|of|Distribution ...🔍
[2210.16114] Towards Reliable Neural Specifications
[2210.16114] Towards Reliable Neural Specifications - arXiv
We propose a new family of specifications called neural representation as specification, which uses the intrinsic information of neural networks - neural ...
Towards Reliable Neural Specifications
This form of specifications uses the intrinsic information of neural networks, specifically neural activation pat- terns (NAPs), rather than input data to ...
[2210.16114] Towards reliable neural specifications - ar5iv - arXiv
To this end, we propose a new family of specifications called neural representation as specification, which uses the intrinsic information of neural networks — ...
(PDF) Toward Reliable Neural Specifications - ResearchGate
We present a simple statistical approach to mining dominant neural activation patterns. We analyze NAPs from a statistical point of view and find that a single ...
TOWARD RELIABLE NEURAL SPECIFICATIONS - OpenReview
TL;DR: We propose a new family of specifications based on neural activation patterns and evaluate its effectiveness through both statistical ...
arXiv:2210.16114v1 [cs.LG] 28 Oct 2022 - ResearchGate
NAPs and how to relax them, and what interesting properties of neural activation patterns can be ... reliable specifications of neural networks.
Toward Reliable Neural Specifications - X-MOL
... neural activation patterns (NAP), rather than input data to specify the correctness and/or robustness of neural network predictions. We ...
Towards Reliable Neural Specifications. July 2023. The neural activation pattern specifications. 13. Linear regions in different colors are determined by.
Towards Reliable Neural Specifications. ICML 2023: 11196-11212. [i2] ... Toward Reliable Neural Specifications. CoRR abs/2210.16114 (2022). [+][–] ...
Verifying the Generalization of Deep Learning to Out-of-Distribution ...
... reliable neural specifications. Technical report. arXiv:2210.16114 ... accurate method to fool deep neural networks. In: Proc. IEEE ...
Monitoring of Neural Network Classifiers using Neuron Activation ...
... reliable neural specifications. arXiv preprint arXiv:2210.16114 (2022). 9. Goodfellow, I., Bengio, Y., Courville, A.: Deep learning. MIT ...
Verifying Generalization in Deep Learning - ACM Digital Library
... Towards repairing neural networks correctly. Technical report (2020) ... reliable neural specifications. Technical report (2022). https ...
Formally Explaining Neural Networks within Reactive Systems
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning. ... Toward. Reliable Neural Specifications, 2022. Technical Report. https ...
Verifying Generalization in Deep Learning - SpringerLink
... reliable neural specifications. Technical report (2022). https://arxiv.org/abs/2210.16114. Geva, S., Sitte, J.: A cartpole experiment ...
Towards Reliable Neural Specifications. ICML 2023: 11196-11212. [c20] ... CoRR abs/2210.16114 (2022). [i7]. view. electronic edition via DOI ...
doc/technical_report_wise_2022_23/bibentries.bib · main ... - GitLab
... Neural Network Exchange Intermediate ... {Towards Reliable Neural Specifications}, year = {2023}, eprint = {2210.16114} ... Neural Networks in Coq}, year ...
TIFYING KNOWLEDGE COMPREHENSION IN LLMS - OpenReview
Towards reliable neural specifications, 2023. URL https://arxiv.org/abs/2210.16114. Shibo Hao, Yi Gu, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, Daisy Zhe ...
... Neural Operator for Large-Scale 3D PDEs http://arxiv.org/pdf/2309.00570v1 ... Towards Generalizable Neural Solvers for Vehicle Routing Problems via ...
advex_papers.txt - Nicholas Carlini
... Neural Network. (13%) Suman Sapkota http://arxiv.org/abs/2410.16222 A ... Towards Calibrated Losses for Adversarial Robust Reject Option Classification ...
... Neural Networks within Reactive Systems ... Towards Compositional Hardware Model Checking Certification ...