Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Friedman, Luke"'
Autor:
Morningstar, Warren, Bijamov, Alex, Duvarney, Chris, Friedman, Luke, Kalibhat, Neha, Liu, Luyang, Mansfield, Philip, Rojas-Gomez, Renan, Singhal, Karan, Green, Bradley, Prakash, Sushant
We study the relative effects of data augmentations, pretraining algorithms, and model architectures in Self-Supervised Learning (SSL). While the recent literature in this space leaves the impression that the pretraining algorithm is of critical impo
Externí odkaz:
http://arxiv.org/abs/2403.05726
Autor:
Zhao, Long, Gundavarapu, Nitesh B., Yuan, Liangzhe, Zhou, Hao, Yan, Shen, Sun, Jennifer J., Friedman, Luke, Qian, Rui, Weyand, Tobias, Zhao, Yue, Hornung, Rachel, Schroff, Florian, Yang, Ming-Hsuan, Ross, David A., Wang, Huisheng, Adam, Hartwig, Sirotenko, Mikhail, Liu, Ting, Gong, Boqing
We introduce VideoPrism, a general-purpose video encoder that tackles diverse video understanding tasks with a single frozen model. We pretrain VideoPrism on a heterogeneous corpus containing 36M high-quality video-caption pairs and 582M video clips
Externí odkaz:
http://arxiv.org/abs/2402.13217
Autor:
Yuan, Liangzhe, Gundavarapu, Nitesh Bharadwaj, Zhao, Long, Zhou, Hao, Cui, Yin, Jiang, Lu, Yang, Xuan, Jia, Menglin, Weyand, Tobias, Friedman, Luke, Sirotenko, Mikhail, Wang, Huisheng, Schroff, Florian, Adam, Hartwig, Yang, Ming-Hsuan, Liu, Ting, Gong, Boqing
We evaluate existing foundation models video understanding capabilities using a carefully designed experiment protocol consisting of three hallmark tasks (action recognition, temporal localization, and spatiotemporal localization), eight datasets wel
Externí odkaz:
http://arxiv.org/abs/2307.03166
Autor:
Friedman, Luke, Ahuja, Sameer, Allen, David, Tan, Zhenning, Sidahmed, Hakim, Long, Changbo, Xie, Jun, Schubiner, Gabriel, Patel, Ajay, Lara, Harsh, Chu, Brian, Chen, Zexi, Tiwari, Manoj
A Conversational Recommender System (CRS) offers increased transparency and control to users by enabling them to engage with the system through a real-time multi-turn dialogue. Recently, Large Language Models (LLMs) have exhibited an unprecedented ab
Externí odkaz:
http://arxiv.org/abs/2305.07961
Publikováno v:
Logical Methods in Computer Science, Volume 10, Issue 3 (August 19, 2014) lmcs:723
This paper is motivated by a conjecture that BPP can be characterized in terms of polynomial-time nonadaptive reductions to the set of Kolmogorov-random strings. In this paper we show that an approach laid out in [Allender et al] to settle this conje
Externí odkaz:
http://arxiv.org/abs/1406.7658
Publikováno v:
In Information and Computation January 2013 222:80-92
Autor:
Friedman, Luke
In this dissertation we consider two different notions of randomness and their applications to problems in complexity theory. In part one of the dissertation we consider Kolmogorov complexity, a way to formalize a measure of the randomness of a singl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bbc3130df7ff7aa9305eedae3fce880
Autor:
Friedman, Luke, Xu, Yixin
Publikováno v:
Computer Science - Theory & Applications (9783642385353); 2013, p127-138, 12p
Publikováno v:
Mathematical Foundations of Computer Science 2012; 2012, p88-99, 12p