Zobrazeno 1 - 10
of 47 720
pro vyhledávání: '"P. A., Friedman"'
Autor:
Carreira, João, Gokay, Dilara, King, Michael, Zhang, Chuhan, Rocco, Ignacio, Mahendran, Aravindh, Keck, Thomas Albert, Heyward, Joseph, Koppula, Skanda, Pot, Etienne, Erdogan, Goker, Hasson, Yana, Yang, Yi, Greff, Klaus, Moing, Guillaume Le, van Steenkiste, Sjoerd, Zoran, Daniel, Hudson, Drew A., Vélez, Pedro, Polanía, Luisa, Friedman, Luke, Duvarney, Chris, Goroshin, Ross, Allen, Kelsey, Walker, Jacob, Kabra, Rishabh, Aboussouan, Eric, Sun, Jennifer, Kipf, Thomas, Doersch, Carl, Pătrăucean, Viorica, Damen, Dima, Luc, Pauline, Sajjadi, Mehdi S. M., Zisserman, Andrew
Scaling has not yet been convincingly demonstrated for pure self-supervised learning from video. However, prior work has focused evaluations on semantic-related tasks $\unicode{x2013}$ action classification, ImageNet classification, etc. In this pape
Externí odkaz:
http://arxiv.org/abs/2412.15212
Autor:
Gundavarapu, Nitesh Bharadwaj, Friedman, Luke, Goyal, Raghav, Hegde, Chaitra, Agustsson, Eirikur, Waghmare, Sagar M., Sirotenko, Mikhail, Yang, Ming-Hsuan, Weyand, Tobias, Gong, Boqing, Sigal, Leonid
Video understanding has witnessed significant progress with recent video foundation models demonstrating strong performance owing to self-supervised pre-training objectives; Masked Autoencoders (MAE) being the design of choice. Nevertheless, the majo
Externí odkaz:
http://arxiv.org/abs/2411.13683
We introduce the notions of weighted extremal K{\"a}hler twins together with the related notion of extremal Sasaki twins. In the K\"ahler setting this leads to a generalization of the twinning phenomenon appearing among LeBrun's strongly Hermitian so
Externí odkaz:
http://arxiv.org/abs/2411.13502
Large language models can absorb a massive amount of knowledge through pretraining, but pretraining is inefficient for acquiring long-tailed or specialized facts. Therefore, fine-tuning on specialized or new knowledge that reflects changes in the wor
Externí odkaz:
http://arxiv.org/abs/2411.07175
Autor:
Cai, Jinjin, Wang, Ruiqi, Zhao, Dezhong, Yuan, Ziqin, McKenna, Victoria, Friedman, Aaron, Foot, Rachel, Storey, Susan, Boente, Ryan, Vhaduri, Sudip, Min, Byung-Cheol
Audio-based disease prediction is emerging as a promising supplement to traditional medical diagnosis methods, facilitating early, convenient, and non-invasive disease detection and prevention. Multimodal fusion, which integrates features from variou
Externí odkaz:
http://arxiv.org/abs/2410.09289
We introduce a framework that allows for the exact analytic treatment of quantum dynamics subject to coherent noise. The noise is modeled via unitary evolution under a Hamiltonian drawn from a random-matrix ensemble for arbitrary Hilbert-space dimens
Externí odkaz:
http://arxiv.org/abs/2410.07321
In "Embers of Autoregression" (McCoy et al., 2023), we showed that several large language models (LLMs) have some important limitations that are attributable to their origins in next-word prediction. Here we investigate whether these issues persist w
Externí odkaz:
http://arxiv.org/abs/2410.01792
Autor:
Wines, Daniel, Ibrahim, Akram, Gudibandla, Nishwanth, Adel, Tehseen, Abel, Frank M., Jois, Sharadh, Saritas, Kayahan, Krogel, Jaron T., Yin, Li, Berlijn, Tom, Hanbicki, Aubrey T., Stephen, Gregory M., Friedman, Adam L., Krylyuk, Sergiy, Davydov, Albert, Donovan, Brian, Jamer, Michelle E., Walker, Angela R. Hight, Choudhary, Kamal, Tavazza, Francesca, Ataca, Can
Two-dimensional (2D) 1T-VSe$_2$ has prompted significant interest due to the discrepancies regarding alleged ferromagnetism (FM) at room temperature, charge density wave (CDW) states and the interplay between the two. We employed a combined Diffusion
Externí odkaz:
http://arxiv.org/abs/2409.19082
Autor:
Berijanian, Maryam, Dork, Spencer, Singh, Kuldeep, Millikan, Michael Riley, Riggs, Ashlin, Swaminathan, Aadarsh, Gibbs, Sarah L., Friedman, Scott E., Brugnone, Nathan
Understanding and modeling collective intelligence is essential for addressing complex social systems. Directed graphs called fuzzy cognitive maps (FCMs) offer a powerful tool for encoding causal mental models, but extracting high-integrity FCMs from
Externí odkaz:
http://arxiv.org/abs/2409.18911
Stochastic resetting, a method for accelerating target search in random processes, often incurs temporal and energetic costs. For a diffusing particle, a lower bound exists for the energetic cost of reaching the target, which is attained at low reset
Externí odkaz:
http://arxiv.org/abs/2409.10108