Zobrazeno 1 - 10
of 10 673
pro vyhledávání: '"Collins, A. M."'
Accurate modelling of object deformations is crucial for a wide range of robotic manipulation tasks, where interacting with soft or deformable objects is essential. Current methods struggle to generalise to unseen forces or adapt to new objects, limi
Externí odkaz:
http://arxiv.org/abs/2409.12419
Image classification models, including convolutional neural networks (CNNs), perform well on a variety of classification tasks but struggle under conditions of partial occlusion, i.e., conditions in which objects are partially covered from the view o
Externí odkaz:
http://arxiv.org/abs/2409.10775
Autor:
Qiu, Zeju, Liu, Weiyang, Feng, Haiwen, Liu, Zhen, Xiao, Tim Z., Collins, Katherine M., Tenenbaum, Joshua B., Weller, Adrian, Black, Michael J., Schölkopf, Bernhard
Against the backdrop of enthusiasm for large language models (LLMs), there is an urgent need to scientifically assess their capabilities and shortcomings. This is nontrivial in part because it is difficult to find tasks which the models have not enco
Externí odkaz:
http://arxiv.org/abs/2408.08313
Autor:
Collins, Katherine M., Sucholutsky, Ilia, Bhatt, Umang, Chandra, Kartik, Wong, Lionel, Lee, Mina, Zhang, Cedegao E., Zhi-Xuan, Tan, Ho, Mark, Mansinghka, Vikash, Weller, Adrian, Tenenbaum, Joshua B., Griffiths, Thomas L.
What do we want from machine intelligence? We envision machines that are not just tools for thought, but partners in thought: reasonable, insightful, knowledgeable, reliable, and trustworthy systems that think with us. Current artificial intelligence
Externí odkaz:
http://arxiv.org/abs/2408.03943
We can evaluate features of problems and their potential solutions well before we can effectively solve them. When considering a game we have never played, for instance, we might infer whether it is likely to be challenging, fair, or fun simply from
Externí odkaz:
http://arxiv.org/abs/2407.14095
Autor:
Collins, Katherine M., Chen, Valerie, Sucholutsky, Ilia, Kirk, Hannah Rose, Sadek, Malak, Sargeant, Holli, Talwalkar, Ameet, Weller, Adrian, Bhatt, Umang
Language models are transforming the ways that their users engage with the world. Despite impressive capabilities, over-consumption of language model outputs risks propagating unchecked errors in the short-term and damaging human capabilities for cri
Externí odkaz:
http://arxiv.org/abs/2407.12804
Autor:
Collins, Katherine M., Kim, Najoung, Bitton, Yonatan, Rieser, Verena, Omidshafiei, Shayegan, Hu, Yushi, Chen, Sherol, Dutta, Senjuti, Chang, Minsuk, Lee, Kimin, Liang, Youwei, Evans, Georgina, Singla, Sahil, Li, Gang, Weller, Adrian, He, Junfeng, Ramachandran, Deepak, Dvijotham, Krishnamurthy Dj
Human feedback plays a critical role in learning and refining reward models for text-to-image generation, but the optimal form the feedback should take for learning an accurate reward function has not been conclusively established. This paper investi
Externí odkaz:
http://arxiv.org/abs/2406.16807
The ability to control the stress-induced phase transformation of the shape memory alloy, NiTi, is an important technological challenge that must be understood for their wide application in devices that can exploit their reversible strain properties.
Externí odkaz:
http://arxiv.org/abs/2406.12431
Autor:
Birch, Jonathan, Jenkins, Emily, Vrettou, Anastasia, Said, Mohammed, Vashishtha, Himanshu, Connolley, Thomas, Brooks, Jeff, Collins, David M.
Publikováno v:
Acta Materialia 278 (2024) 120277
The mechanisms that govern a previously unexplained hardening effect of a single phase Cu-30wt%Zn {\alpha}-brass after heating have been investigated. After cold-work, the alloy possesses an increased yield strength and hardening rate only when heat
Externí odkaz:
http://arxiv.org/abs/2406.10140
Autor:
Sucholutsky, Ilia, Collins, Katherine M., Malaviya, Maya, Jacoby, Nori, Liu, Weiyang, Sumers, Theodore R., Korakakis, Michalis, Bhatt, Umang, Ho, Mark, Tenenbaum, Joshua B., Love, Brad, Pardos, Zachary A., Weller, Adrian, Griffiths, Thomas L.
A good teacher should not only be knowledgeable; but should be able to communicate in a way that the student understands -- to share the student's representation of the world. In this work, we integrate insights from machine teaching and pragmatic co
Externí odkaz:
http://arxiv.org/abs/2406.04302