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pro vyhledávání: '"Rashid, Ahmad"'
Autor:
Grosse, Julia, Wu, Ruotian, Rashid, Ahmad, Hennig, Philipp, Poupart, Pascal, Kristiadi, Agustinus
Beam search is a standard tree search algorithm when it comes to finding sequences of maximum likelihood, for example, in the decoding processes of large language models. However, it is myopic since it does not take the whole path from the root to a
Externí odkaz:
http://arxiv.org/abs/2407.03951
Large language models (LLMs) can significantly be improved by aligning to human preferences -- the so-called reinforcement learning from human feedback (RLHF). However, the cost of fine-tuning an LLM is prohibitive for many users. Due to their abilit
Externí odkaz:
http://arxiv.org/abs/2406.07780
Discriminatively trained, deterministic neural networks are the de facto choice for classification problems. However, even though they achieve state-of-the-art results on in-domain test sets, they tend to be overconfident on out-of-distribution (OOD)
Externí odkaz:
http://arxiv.org/abs/2311.03683
Prompt-tuning has become an increasingly popular parameter-efficient method for adapting large pretrained language models to downstream tasks. However, both discrete prompting and continuous prompting assume fixed prompts for all data samples within
Externí odkaz:
http://arxiv.org/abs/2307.05228
Regularization techniques are crucial to improving the generalization performance and training efficiency of deep neural networks. Many deep learning algorithms rely on weight decay, dropout, batch/layer normalization to converge faster and generaliz
Externí odkaz:
http://arxiv.org/abs/2305.04971
Autor:
Lu, Peng, Kobyzev, Ivan, Rezagholizadeh, Mehdi, Rashid, Ahmad, Ghodsi, Ali, Langlais, Philippe
Knowledge Distillation (KD) is a commonly used technique for improving the generalization of compact Pre-trained Language Models (PLMs) on downstream tasks. However, such methods impose the additional burden of training a separate teacher model for e
Externí odkaz:
http://arxiv.org/abs/2212.05956
Autor:
Rashid Ahmad, Irfan Ullah, Zakir Ullah, Shahab Alam, Ahmed Rady, Shahin Shah Khan, Irfan Safdar Durrani
Publikováno v:
ACS Omega, Vol 9, Iss 13, Pp 15271-15281 (2024)
Externí odkaz:
https://doaj.org/article/c2537a5d6eac4e08ae66ea8723ffcb14
Autor:
Azhar Ali, Irfan Ahmed Shaikh, Sajid Rashid Ahmad, Muhammad Bilal Shakoor, Jean Wan Hong Yong, Muhammad Rizwan, Faiza Samina
Publikováno v:
Frontiers in Environmental Science, Vol 12 (2024)
The current study set out to assess and create long-term solutions for improving environmental performance concerning water use, wastewater production, and treatment at Syntan plant (glass-lined vessel unit) and application laboratory (small-scale le
Externí odkaz:
https://doaj.org/article/95ca6a9c51f64cea90c9f8ff7de726c8