Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Tarlow, Daniel"'
Autor:
Vijayvergiya, Manushree, Salawa, Małgorzata, Budiselić, Ivan, Zheng, Dan, Lamblin, Pascal, Ivanković, Marko, Carin, Juanjo, Lewko, Mateusz, Andonov, Jovan, Petrović, Goran, Tarlow, Daniel, Maniatis, Petros, Just, René
Modern code review is a process in which an incremental code contribution made by a code author is reviewed by one or more peers before it is committed to the version control system. An important element of modern code review is verifying that code c
Externí odkaz:
http://arxiv.org/abs/2405.13565
Identifying how much a model ${\widehat{p}}_{\theta}(Y|X)$ knows about the stochastic real-world process $p(Y|X)$ it was trained on is important to ensure it avoids producing incorrect or "hallucinated" answers or taking unsafe actions. But this is d
Externí odkaz:
http://arxiv.org/abs/2402.08733
Large language models show impressive results at predicting structured text such as code, but also commonly introduce errors and hallucinations in their output. When used to assist software developers, these models may make mistakes that users must g
Externí odkaz:
http://arxiv.org/abs/2303.00732
Autor:
Bieber, David, Shi, Kensen, Maniatis, Petros, Sutton, Charles, Hellendoorn, Vincent, Johnson, Daniel, Tarlow, Daniel
Graph representations of programs are commonly a central element of machine learning for code research. We introduce an open source Python library python_graphs that applies static analysis to construct graph representations of Python programs suitab
Externí odkaz:
http://arxiv.org/abs/2208.07461
Autor:
Chen, Binghong, Tarlow, Daniel, Swersky, Kevin, Maas, Martin, Heiber, Pablo, Naik, Ashish, Hashemi, Milad, Ranganathan, Parthasarathy
Improvements in the performance of computing systems, driven by Moore's Law, have transformed society. As such hardware-driven gains slow down, it becomes even more important for software developers to focus on performance and efficiency during devel
Externí odkaz:
http://arxiv.org/abs/2208.05297
Publikováno v:
ICML, 2023
With the success of large language models (LLMs) of code and their use as code assistants (e.g. Codex used in GitHub Copilot), techniques for introducing domain-specific knowledge in the prompt design process become important. In this work, we propos
Externí odkaz:
http://arxiv.org/abs/2206.12839
The execution behavior of a program often depends on external resources, such as program inputs or file contents, and so cannot be run in isolation. Nevertheless, software developers benefit from fast iteration loops where automated tools identify er
Externí odkaz:
http://arxiv.org/abs/2203.03771
To perform counterfactual reasoning in Structural Causal Models (SCMs), one needs to know the causal mechanisms, which provide factorizations of conditional distributions into noise sources and deterministic functions mapping realizations of noise to
Externí odkaz:
http://arxiv.org/abs/2111.06888
Denoising diffusion probabilistic models (DDPMs) have shown impressive results on sequence generation by iteratively corrupting each example and then learning to map corrupted versions back to the original. However, previous work has largely focused
Externí odkaz:
http://arxiv.org/abs/2107.07675
Denoising diffusion probabilistic models (DDPMs) (Ho et al. 2020) have shown impressive results on image and waveform generation in continuous state spaces. Here, we introduce Discrete Denoising Diffusion Probabilistic Models (D3PMs), diffusion-like
Externí odkaz:
http://arxiv.org/abs/2107.03006