thegradient.pub的 10 大竞争对手

distill.pub

An experiment showing adversarial robustness makes neural style transfer work on a non-VGG architecture

maartengrootendorst.com

my personal website

geometricdeeplearning.com

Grids, Groups, Graphs, Geodesics, and Gauges

lakera.ai

Join Lakera and help secure the future of AI. Explore open roles across engineering, product, and research.

dataroots.io

Watch our experts share our views on : * What type of data do we currently work with? * How are the AI use cases evolving? * How much time does it take to leverage value from AI/data? * What has been the biggest evolution in infrastructure to support the AI cases * Where is the market in terms of AI adoption and maturity? * What is the role of the EU citizens, how are they included in AI projects/development?

mh.bmj.com

Medical Humanities publishes original interdisciplinary studies on the history of medicine, cultures of medicine, disability, gender, bioethics & medical education.

jasss.org

by J Jumadi, Nick Malleson, Steve Carver and Duncan Quincey

weber.seas.harvard.edu

We are presenting several recent works at NeurIPS this year. Congratulations to all authors! Congratulations to Jason for winning a Best Paper Award at NeurReps! Main conference: Higher-Order Learning with Graph Neural Networks via Hypergraph Encodings by Raphael Pellegrin*, Lukas Fesser*, Melanie Weber | Fri, 12/5, 4:30 PM – 7:30 PM, Exhibit Hall C,D,E #3804...

gokul.dev

We present a general theoretical framework for designing efficient algorithms for interactive imitation learning. We leverage this framework to derive novel inverse reinforcement learning algorithms (one model-free, one model-based), both of which come with strong performance guarantees and compare favorably to multiple baselines across a wide set of continuous control environments.