Just links
That's just link aggregator of everything I consider interesting, especially DL and topological condensed matter physics. @EvgeniyZh
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Ma'lumot yuklanmoqda...
Ma'lumot yuklanmoqda...
While the classification of non-interacting crystalline topological insulator phases by equivariant K-theory has become widely accepted, its generalization to anyonic interacting phases -- hence...
Hurdles are questions that do not necessarily have correct answers. A successful solution approaches the problem thoughtfully and creatively, using modelling to address the problem. Several assumptions may need to be made over the course of your answer. Each calculation does not need to be
Learning from preference labels plays a crucial role in fine-tuning large language models. There are several distinct approaches for preference fine-tuning, including supervised learning,...
[DeepMind Gato] A Generalist Agent Scott Reed, Konrad Zolna, Emilio Parisotto, Sergio Gomez Colmenarejo, Alexander Novikov, Gabriel Barth-Maron, Mai Gimenez, Yury Sulsky, Jackie Kay, Jost Tobias Springenberg, Tom Eccles, Jake Bruce, Ali Razavi, Ashley Edwards, Nicolas Heess, Yutian Chen, Raia Hadsell, Oriol Vinyals, Mahyar Bordbar, Nando de Freitas Статья:
https://arxiv.org/abs/2205.06175Пост:
https://www.deepmind.com/publications/a-generalist-agentВ зоопарке DeepMind пополнение. К шиншилле и фламинго завезли кошку. На самом деле очень интересная работа, которая делает дальнейший шаг относительно Trajectory Transformer (
https://t.me/gonzo_ML/726)и Decision Transformer (
https://t.me/gonzo_ML/719).Или даже несколько шагов. Напомним, это эти две модели заходили со стороны замены традиционных компонентов RL на sequence modeling и использовали трансформер-декодер для авторегрессионной генерации действий. Gato идёт дальше и является мультимодальной и мультизадачной моделью, которая кроме задач RL (игры Атари…
Quantum error correction (QEC) plays a crucial role in correcting noise and paving the way for fault-tolerant quantum computing. This field has seen significant advancements, with new quantum...
In recent decades, the vision community has witnessed remarkable progress in visual recognition, partially owing to advancements in dataset benchmarks. Notably, the established COCO benchmark has...
The promise of quantum computers hinges on the ability to scale to large system sizes, e.g., to run quantum computations consisting of more than 100 million operations fault-tolerantly. This in...
Building embodied AI systems that can follow arbitrary language instructions in any 3D environment is a key challenge for creating general AI. Accomplishing this goal requires learning to ground...
Recent advances in large-scale pretraining have yielded visual foundation models with strong capabilities. Not only can recent models generalize to arbitrary images for their training task, their...