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Prompt learning is an efficient approach to adapt transformers by inserting learnable set of parameters into the input and intermediate representations of a pre-trained model. In this work, we present Expressive Prompts with Residuals…

Computer Vision and Pattern Recognition · Computer Science 2023-03-29 Rajshekhar Das , Yonatan Dukler , Avinash Ravichandran , Ashwin Swaminathan

We present outcomes from curricular changes made to an introductory calculus-based physics course whose audience is primarily life science majors, the majority of whom plan to pursue post-baccalaureate studies in medical and scientific…

Physics Education · Physics 2013-05-08 Brian W. O'Shea , Laura Terry , Walter Benenson

Form a pure mathematical point of view, common functional forms representing different physical phenomena can be defined. For example, rates of chemical reactions, diffusion and heat transfer are all governed by exponential-type…

Machine Learning · Computer Science 2019-10-01 Navid Zobeiry , Keith D. Humfeld

Between 2017 and 2019, a standard Linear Algebra course from Instituto Superior T\'ecnico, University of Lisbon, used virtual learning content, mainly videos and formative assessment, delivered at the institution's MOOC platform to support…

History and Overview · Mathematics 2021-03-23 Ana Moura Santos , Luis Costa

We address the problem of class incremental learning, which is a core step towards achieving adaptive vision intelligence. In particular, we consider the task setting of incremental learning with limited memory and aim to achieve better…

Computer Vision and Pattern Recognition · Computer Science 2021-04-01 Shipeng Yan , Jiangwei Xie , Xuming He

Active learning is a decision-making process. In both abstract and physical settings, active learning demands both analysis and action. This is a review of active learning in robotics, focusing on methods amenable to the demands of embodied…

Robotics · Computer Science 2021-06-28 Annalisa T. Taylor , Thomas A. Berrueta , Todd D. Murphey

Differentiable physics is a powerful approach to learning and control problems that involve physical objects and environments. While notable progress has been made, the capabilities of differentiable physics solvers remain limited. We…

Machine Learning · Computer Science 2020-07-07 Yi-Ling Qiao , Junbang Liang , Vladlen Koltun , Ming C. Lin

In their study of physics beyond the first year of University -- termed upper-division in the US, many of students' primary learning opportunities come from working long, complex back-of-the-book style problems, and from trying to develop…

Physics Education · Physics 2015-09-02 Marcos D. Caballero , Bethany R. Wilcox , Leanne Doughty , Steven J. Pollock

We study the theoretical advantages of active learning over passive learning. Specifically, we prove that, in noise-free classifier learning for VC classes, any passive learning algorithm can be transformed into an active learning algorithm…

Machine Learning · Statistics 2011-08-09 Steve Hanneke

Teacher-student frameworks have emerged as a leading approach in semi-supervised medical image segmentation, demonstrating strong performance across various tasks. However, the learning effects are still limited by the strong correlation…

Computer Vision and Pattern Recognition · Computer Science 2026-02-05 Hoang-Thien Nguyen , Thanh-Huy Nguyen , Ba-Thinh Lam , Vi Vu , Bach X. Nguyen , Jianhua Xing , Tianyang Wang , Xingjian Li , Min Xu

Many recent delineation techniques owe much of their increased effectiveness to path classification algorithms that make it possible to distinguish promising paths from others. The downside of this development is that they require annotated…

Computer Vision and Pattern Recognition · Computer Science 2015-12-03 Agata Mosinska , Raphael Sznitman , Przemysław Głowacki , Pascal Fua

We report a course on teaching in physics lab for teachers enrolled in Formative Active Training, which actually allows to obtain the teacher qualification in Italy. The course was designed with the purpose of showing in practice what means…

Physics Education · Physics 2016-01-08 Vera Montalbano , Roberto Benedetti

Extensive research has demonstrated that active learning methods are more effective than traditional lecturing at improving student conceptual understanding and reducing failure rates in undergraduate physics courses. Researchers have…

Physics Education · Physics 2026-05-19 Meagan Sundstrom , Justin Gambrell , Colin Green , Adrienne L. Traxle , Eric Brewe

Education is a goal-oriented field. But if we want to treat education scientifically so we can accumulate, evaluate, and refine what we learn, then we must develop a theoretical framework that is strongly rooted in objective observations…

Physics Education · Physics 2007-05-23 Edward F. Redish

An appropriate diagram is a required element of a solution building process in physics problem solving and it can transform a given problem into a representation that is easier to exploit for solving the problem. A major focus while helping…

Physics Education · Physics 2020-07-02 Alexandru Maries , Chandralekha Singh

We report on the development of students' ideas of probability and probability density in a University of Maine laboratory-based general education physics course called Intuitive Quantum Physics. Students in the course are generally math…

Physics Education · Physics 2009-11-11 Michael C. Wittmann , Jeffrey T. Morgan , Roger E. Feeley

Authentic research as a method of teaching science is gaining popularity in high schools and colleges. To make this research experience most efficient, students need adequate preparation in traditional science courses. Existing materials…

Physics Education · Physics 2018-08-10 Roxanne P. Spencer , Sergey V. Samsonau

At the University of Colorado Boulder, as part of our broader efforts to transform middle- and upper-division physics courses, we research students' difficulties with particular concepts, methods, and tools in classical mechanics,…

Physics Education · Physics 2015-06-05 Marcos D. Caballero , Bethany R. Wilcox , Rachel E. Pepper , Steven J. Pollock

The design of a serious game is presented that served as an instrument to motivate and aid to Physics education using active and ludic learning, specifically the topic of free fall of objects, with diverse educational purposes, first to…

Physics Education · Physics 2024-07-24 Alberto Pacheco

Effectiveness of teaching digital signal processing can be enhanced by reducing lecture time devoted to theory, and increasing emphasis on applications, programming aspects, visualization and intuitive understanding. An integrated approach…

Signal Processing · Electrical Eng. & Systems 2021-05-18 Keshab K. Parhi
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