Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Lee, Jennifer"'
Autor:
Pohl, Stephan, Walker, Edgar Y., Barack, David L., Lee, Jennifer, Denison, Rachel N., Block, Ned, Meyniel, Florent, Ma, Wei Ji
This paper develops a systematic framework for the evidence neuroscientists use to establish whether a neural response represents a feature. Researchers try to establish that the neural response is (1) sensitive and (2) specific to the feature, (3) i
Externí odkaz:
http://arxiv.org/abs/2403.14046
Autor:
Lee, Jennifer JooYeon, Kim, Hyunuk
Marketing scholars have underscored the importance of conceptual articles in providing theoretical foundations and new perspectives to the field. This paper supports the argument by employing two network-based measures - the number of citations and t
Externí odkaz:
http://arxiv.org/abs/2308.14724
Autor:
Walker, Edgar Y, Pohl, Stephan, Denison, Rachel N, Barack, David L, Lee, Jennifer, Block, Ned, Ma, Wei Ji, Meyniel, Florent
The study of the brain's representations of uncertainty is a central topic in neuroscience. Unlike most quantities of which the neural representation is studied, uncertainty is a property of an observer's beliefs about the world, which poses specific
Externí odkaz:
http://arxiv.org/abs/2202.04324
One of the challenges faced by conversational agents is their inability to identify unstated presumptions of their users' commands, a task trivial for humans due to their common sense. In this paper, we propose a zero-shot commonsense reasoning syste
Externí odkaz:
http://arxiv.org/abs/2109.08544
Autor:
Cho, Hyundong, Shbita, Basel, Shenoy, Kartik, Liu, Shuai, Patel, Nikhil, Pindikanti, Hitesh, Lee, Jennifer, May, Jonathan
We present Viola, an open-domain dialogue system for spoken conversation that uses a topic-agnostic dialogue manager based on a simple generate-and-rank approach. Leveraging recent advances of generative dialogue systems powered by large language mod
Externí odkaz:
http://arxiv.org/abs/2108.11063
Autor:
Alvarez, Anthony Davila, Knudtson, Aaron, Patel, Unmil, Gleason, Joseph, Hollis, Harold, Sanjuan, Jose, Doughty, Neil, McDaniel, Glenn, Lee, Jennifer, Leitch, James, Bennett, Stephen, Bevilacqua, Riccardo, Mueller, Guido, Spero, Robert, Ware, Brent, Wass, Peter, Wiese, David, Ziemer, John, Conklin, John W.
We describe a Simplified Gravitational Reference Sensor (S-GRS), an ultra-precise inertial sensor for future Earth geodesy missions. These sensors are used to measure or compensate for all non-gravitational accelerations of the host spacecraft so tha
Externí odkaz:
http://arxiv.org/abs/2107.08545
Autor:
Arabshahi, Forough, Lee, Jennifer, Gawarecki, Mikayla, Mazaitis, Kathryn, Azaria, Amos, Mitchell, Tom
In order for conversational AI systems to hold more natural and broad-ranging conversations, they will require much more commonsense, including the ability to identify unstated presumptions of their conversational partners. For example, in the comman
Externí odkaz:
http://arxiv.org/abs/2006.10022
Nowadays, the interpretability of machine learning models is becoming increasingly important, especially in the medical domain. Aiming to shed some light on how to rationalize medical relation prediction, we present a new interpretable framework insp
Externí odkaz:
http://arxiv.org/abs/2005.00889
Autor:
Banerjee, Soham, Liu, Chia-Hao, Jensen, Kirsten M. O., Juhas, Pavol, Lee, Jennifer D., Tofanelli, Marcus, Ackerson, Christopher J., Murray, Christopher B., Billinge, Simon J. L.
We present a novel approach for finding and evaluating structural models of small metallic nanoparticles. Rather than fitting a single model with many degrees of freedom, the approach algorithmically builds libraries of nanoparticle clusters from mul
Externí odkaz:
http://arxiv.org/abs/1901.08754
Autor:
Huang, Tiffany J1 (AUTHOR), Lee, Jennifer1 (AUTHOR)
Publikováno v:
Social Forces. Jun2019, Vol. 97 Issue 4, pe1-e3. 3p.