Zobrazeno 1 - 10
of 852 852
pro vyhledávání: '"So Lawrence"'
Autor:
Patil, Parth V., Jiang, Wenxin, Peng, Huiyun, Lugo, Daniel, Kalu, Kelechi G., LeBlanc, Josh, Smith, Lawrence, Heo, Hyeonwoo, Aou, Nathanael, Davis, James C.
The availability of pre-trained models (PTMs) has enabled faster deployment of machine learning across applications by reducing the need for extensive training. Techniques like quantization and distillation have further expanded PTM applicability to
Externí odkaz:
http://arxiv.org/abs/2412.18972
Autor:
Wang, Lawrence, Roberts, Stephen J.
Traditional analyses of gradient descent optimization show that, when the largest eigenvalue of the loss Hessian - often referred to as the sharpness - is below a critical learning-rate threshold, then training is 'stable' and training loss decreases
Externí odkaz:
http://arxiv.org/abs/2412.17613
Autor:
Schwartzman, Emma, Clarke, Tracy, Giacintucci, Simona, Peters, Wendy, Randall, Scott, van Weeren, Reinout, Sarkar, Arnab, Rudnick, Lawrence, Blanton, Elizabeth, Finner, Kyle, Mroczkowski, Tony, Nulsen, Paul
We present new radio observations of the galaxy cluster merger CIZA J0107.7+5408 (CIZA0107), a large, roughly equal mass, post-core passage, dissociative binary system at z = 0.1066. CIZA0107 is an elongated, disturbed system, hosting two subclusters
Externí odkaz:
http://arxiv.org/abs/2412.15015
Autor:
Xu, Frank F., Song, Yufan, Li, Boxuan, Tang, Yuxuan, Jain, Kritanjali, Bao, Mengxue, Wang, Zora Z., Zhou, Xuhui, Guo, Zhitong, Cao, Murong, Yang, Mingyang, Lu, Hao Yang, Martin, Amaad, Su, Zhe, Maben, Leander, Mehta, Raj, Chi, Wayne, Jang, Lawrence, Xie, Yiqing, Zhou, Shuyan, Neubig, Graham
We interact with computers on an everyday basis, be it in everyday life or work, and many aspects of work can be done entirely with access to a computer and the Internet. At the same time, thanks to improvements in large language models (LLMs), there
Externí odkaz:
http://arxiv.org/abs/2412.14161
Autor:
Mu, Haoran, Smith, Daniel, Katkus, Tomas, Le, Nguyen Hoai An, Stonyte, Dominyka, Gailevicius, Darius, Kapsaskis, Dan, Del Frate, Alexander, Bedi, Talwinder Singh, Narbutis, Donatas, Anand, Vijayakumar, Astrauskyte, Darija, Grineviciute, Lina, Ng, Soon Hock, Glazebrook, Karl, Lawrence, Jon, Juodkazis, Saulius
In astronomy, multi-object spectrographs employ fibre positioning robots to couple the light from multiple astronomy sources (stars or galaxies) into multiple multi-mode fibres, which are distributed across the focal plane of the telescope. These fib
Externí odkaz:
http://arxiv.org/abs/2412.12896
Autor:
Gamboa, Aldo, Buonanno, Alessandra, Enficiaud, Raffi, Khalil, Mohammed, Ramos-Buades, Antoni, Pompili, Lorenzo, Estellés, Héctor, Boyle, Michael, Kidder, Lawrence E., Pfeiffer, Harald P., Rüter, Hannes R., Scheel, Mark A.
The measurement of orbital eccentricity in gravitational-wave (GW) signals will provide unique insights into the astrophysical origin of binary systems, while ignoring eccentricity in waveform models could introduce significant biases in parameter es
Externí odkaz:
http://arxiv.org/abs/2412.12823
Autor:
Shaier, Sagi, Baker, George Arthur, Sridhar, Chiranthan, Hunter, Lawrence E, von der Wense, Katharina
Language models (LMs) have excelled in various broad domains. However, to ensure their safe and effective integration into real-world educational settings, they must demonstrate proficiency in specific, granular areas of knowledge. Existing cloze-sty
Externí odkaz:
http://arxiv.org/abs/2412.10105
Autor:
Baker, George Arthur, Raut, Ankush, Shaier, Sagi, Hunter, Lawrence E, von der Wense, Katharina
Previous work finds that recent long-context language models fail to make equal use of information in the middle of their inputs, preferring pieces of information located at the tail ends which creates an undue bias in situations where we would like
Externí odkaz:
http://arxiv.org/abs/2412.10079
Autor:
Wang, Tianyang, Liu, Ming, Peng, Benji, Song, Xinyuan, Zhang, Charles, Sun, Xintian, Niu, Qian, Liu, Junyu, Chen, Silin, Chen, Keyu, Li, Ming, Feng, Pohsun, Bi, Ziqian, Wang, Yunze, Zhang, Yichao, Fei, Cheng, Yan, Lawrence KQ
Clinical trials are an indispensable part of the drug development process, bridging the gap between basic research and clinical application. During the development of new drugs, clinical trials are used not only to evaluate the safety and efficacy of
Externí odkaz:
http://arxiv.org/abs/2412.09378
Autor:
Wang, Tianyang, Bi, Ziqian, Zhang, Yichao, Liu, Ming, Hsieh, Weiche, Feng, Pohsun, Yan, Lawrence K. Q., Wen, Yizhu, Peng, Benji, Liu, Junyu, Chen, Keyu, Zhang, Sen, Li, Ming, Jiang, Chuanqi, Song, Xinyuan, Yang, Junjie, Jing, Bowen, Ren, Jintao, Song, Junhao, Tseng, Hong-Ming, Chen, Silin, Wang, Yunze, Liang, Chia Xin, Xu, Jiawei, Pan, Xuanhe, Wang, Jinlang, Niu, Qian
Deep learning has transformed AI applications but faces critical security challenges, including adversarial attacks, data poisoning, model theft, and privacy leakage. This survey examines these vulnerabilities, detailing their mechanisms and impact o
Externí odkaz:
http://arxiv.org/abs/2412.08969