전체 글 썸네일형 리스트형 Symbolic Discovery of Optimization Algorithms https://arxiv.org/abs/2302.06675 Symbolic Discovery of Optimization AlgorithmsWe present a method to formulate algorithm discovery as program search, and apply it to discover optimization algorithms for deep neural network training. We leverage efficient search techniques to explore an infinite and sparse program space. To bridge tharxiv.org 초록우리는 알고리즘 발견을 프로그램 탐색(program search) 문제로 공식화하는 방법을 제.. 더보기 Nous Research – RL Environments Hackathon https://cerebralvalley.ai/e/nous-research-rl-environments-hackathon-9be3062a?_bhlid=3c8e86f14c63353188d214fe0b6617f10a19226d Nous Research – RL Environments HackathonLet's Push The Frontier of Reinforcement Learning Forward: Hosted by NOUS RESEARCH This event will be a gathering of top engineers, hackers, researchers and thinkers from every domain with one of the largest prize pools for a hackat.. 더보기 Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model https://aifactory.space/task/8832/overview?utm_source=pytorchkr&ref=pytorchkr 디스캐닝 모델 체험디스캐닝 모델 체험aifactory.space https://arxiv.org/abs/2402.05350 Descanning: From Scanned to the Original Images with a Color Correction Diffusion ModelA significant volume of analog information, i.e., documents and images, have been digitized in the form of scanned copies for storing, sharing, and/or analyzing in .. 더보기 Traveling Waves Integrate Spatial Information Through Time https://arxiv.org/abs/2502.06034?utm_source=pytorchkr&ref=pytorchkr Traveling Waves Integrate Spatial Information Through TimeTraveling waves of neural activity are widely observed in the brain, but their precise computational function remains unclear. One prominent hypothesis is that they enable the transfer and integration of spatial information across neural populations. Howevarxiv.org 초록뇌에서는.. 더보기 2071. Maximum Number of Tasks You Can Assign from typing import Listimport collectionsimport bisectclass Solution: def maxTaskAssign(self, tasks: List[int], workers: List[int], pills: int, strength: int) -> int: # Sort tasks and workers in ascending order tasks.sort() workers.sort() n, m = len(tasks), len(workers) # Check if we can assign k tasks def can_assign(k): # C.. 더보기 Qwen3: Think Deeper, Act Faster https://github.com/QwenLM/Qwen3 GitHub - QwenLM/Qwen3: Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud. - QwenLM/Qwen3github.com https://huggingface.co/Qwen/Qwen3-235B-A22B Qwen/Qwen3-235B-A22B · Hugging FaceQwen3-235B-A22B Qwen3 Highlights Qwen3 is the latest generation of large languag.. 더보기 구글 콜랩 국가 가격 미국 $49.99 -> 71274.24원 일본 5767엔 -> 57703.22원 더보기 EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications https://arxiv.org/abs/2206.10589 EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision ApplicationsIn the pursuit of achieving ever-increasing accuracy, large and complex neural networks are usually developed. Such models demand high computational resources and therefore cannot be deployed on edge devices. It is of great interest to build resource-efficarxiv.org 초록†*동등.. 더보기 이전 1 2 3 4 5 6 7 8 ··· 71 다음
