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pro vyhledávání: '"Mangal, Ayush"'
While state-of-the-art LLMs have shown poor logical and basic mathematical reasoning, recent works try to improve their problem-solving abilities using prompting techniques. We propose giving "hints" to improve the language model's performance on adv
Externí odkaz:
http://arxiv.org/abs/2410.05915
Autor:
Harley, Adam W., Zuo, Yiming, Wen, Jing, Mangal, Ayush, Potdar, Shubhankar, Chaudhry, Ritwick, Fragkiadaki, Katerina
We propose an unsupervised method for detecting and tracking moving objects in 3D, in unlabelled RGB-D videos. The method begins with classic handcrafted techniques for segmenting objects using motion cues: we estimate optical flow and camera motion,
Externí odkaz:
http://arxiv.org/abs/2104.03424
Recent approaches for learning policies to improve caching, target just one out of the prefetching, admission and eviction processes. In contrast, we propose an end to end pipeline to learn all three policies using machine learning. We also take insp
Externí odkaz:
http://arxiv.org/abs/2009.09206
Understanding a scene by decoding the visual relationships depicted in an image has been a long studied problem. While the recent advances in deep learning and the usage of deep neural networks have achieved near human accuracy on many tasks, there s
Externí odkaz:
http://arxiv.org/abs/2005.08045