Ideally, by training on decentralized data that is aligned with human preferences and safety principles, federated instruction tuning can result in an LLM that could behave in a helpful and safe manner. In this paper, we for the first time reveal the vulnerability of safety alignment in FedIT ...
As real-world data consists of various signals that co-occur, such as video frames and audio tracks, web images and their captions and instructional videos and speech transcripts, it is natural to apply a similar logic when building and designing multimodal machine learning (ML) models. Effecti...
+关注NeurIPS 2018最佳论文公布,4篇最佳论文中有一篇一作是陈天琦。本届大会参会人数超过了8000人次,录取率为21%,三个最热门投稿领域依次为算法、深度学习和应用。 NeurIPS 2018终于开始,主会场排满了6500人的座位,旁边还有能容纳1500人的房间。 今年的大会主席是谷歌大脑的Samy Bengio,他也是“深度学习三巨头”之一Y...
We are happy to announce the I Can’t Believe It’s Not Better workshop at NeurIPS 2023. This year the workshop is titled Failure Modes in the Age of Foundation Models. We invite submissions that focus on surprising or negative results when using foundation models as well as submissions wit...
MLSys: Workshop on Systems for ML (opens in new tab) Aparna Lakshmiratan, Siddhartha Sen (opens in new tab), Joseph Gonzalez, Dan Crankshaw, Sarah Bird (opens in new tab) Compiling Classical ML Pipelines into Tensor Computations for One-size-fits-all Prediction Serving Supun Nakandala, Gyeon...
PromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the robustness of LLMs to adversarial prompt attacks. 🏆 Best Paper Awards @ NeurIPS ML Safety Workshop 2022 - agencyenterprise/PromptInject
andLMCA. Be sure to check their proceedings as such workshop papers are likely to appear at future venues like ICLR, ICML, or ACL. Furthermore, 👉 theGML Newsletter #4👈 by Sergey Ivanov presents an overview of Graph ML papers from NeurIPS including theory, oversmoothing, scalability, and...
ML4H: Machine Learning for Health(keynote by Andrew Ng) Women in Machine Learning(inspiring invited speakers, like Fernanda Viégas, Principal Scientist at Google, and Anca Dragan, Assistant Professor in EECS at UC Berkeley) Resistance AI Workshop(many interesting speakers, including Timnit Gebru an...
Social Aspects of ML: AI Safety; Fairness and Accountability; Privacy In addition to these core subjects, we welcome papers that use machine learning and computational neuroscience to contribute to understanding, treatment, and prevention of COVID-19. Significant changes to the reviewing process ...
Posted by Andrew Helton, Editor, Google Research Communications This week, Vancouver hosts the 33rd annual Conference on Neural Information Processing Systems (NeurIPS 2019), the biggest machine learning conference of the year. The conference includes...