3 papers
cs.CV2025
When to Think and When to Look: Uncertainty-Guided Lookback
Jing Bi, Filippos Bellos, Junjia Guo +8
Test-time thinking (that is, generating explicit intermediate reasoning chains) is known to boost performance in large language models and has recently shown strong gains for large…
cs.LG2022
Reducing Flipping Errors in Deep Neural Networks
Xiang Deng, Yun Xiao, Bo Long +1
Deep neural networks (DNNs) have been widely applied in various domains in artificial intelligence including computer vision and natural language processing. A DNN is typically tra…
cs.LG2020
Sparsity-Control Ternary Weight Networks
Xiang Deng, Zhongfei Zhang
Deep neural networks (DNNs) have been widely and successfully applied to various applications, but they require large amounts of memory and computational power. This severely restr…