Machine-Learning Aided Peer Prediction Information Elicitation without Verification (IEWV) is a classic problem where a principal wants to truthfully elicit high-quality answers of some tasks from strategic agents despite that she cannot evaluate the quality of agents' contri... Y Liu,Y Chen - ...
In Proc. 40th International Conference on Machine Learning 8469–8488 (JMLR.org, 2023). Vaswani, A. et al. Attention is all you need. In Advances in Neural Information Processing Systems 30 (Neural Information Processing Systems Foundation, 2017). Brown, T. et al. Language models are few-...
Liang等. Taskmatrix.ai: Completing tasks by connecting foundation models with millions of apis, 2023. Qin等. Tool learning with foundation models, 2023. Li等. Blip: Bootstrapping LanguageImage Pre-training for Unified Vision-Language Understanding and Generation. In International Conference on Ma...
in which the modeling algorithms in the deep reinforcement learning/deep learning category have speedy and accurate reasoning capabilities after training is completed and deployed. On the one hand, the time complexity of the training process is very high, which makes them hard to ...
The emergence of ChatGPT—a natural language processing (NLP) model developed by OpenAI1to the general public has garnered global conversation on the utility of artificial intelligence (AI). OpenAI’s Generative Pretrained Transformer (GPT) is a type of machine learning that specializes in pattern...
We have for several years been working on an approach to knowledge system building that argues for the existence of a close connection between the tasks which the knowledge system is intended to solve, the methods chosen for them and the vocabulary in which knowledge is to be modeled and repre...
This chapter presents a reliable and robust analysis system that can automatically detect motor imagery (MI) based EEG signals for the development of brain–computer interface (BCI) systems.These keywords were added by machine and not by the authors. This process is experimental and the keywords ...
Often, this relationship can be encoded through machine learning techniques such as the Gaussian mixture model and hidden Markov model [27]. An offline estimation procedure is also required. The stiffness is learned based on the force signals, which suffer from the force noises. In this study,...
(TSFC) aided by the normalizing and scaling phase in solving the discrete TSFC. The quality of the solution was improved even more by balancing workloads across all virtual machines due to the swap mutation. The work compared their HHOLS method with other meta-heuristics based on various ...
[1] denotes that scores are reported in “ETNLP: a visual-aided systematic approach to select pre-trained embeddings for a downstream task” [2] denotes that BiLSTM-CRF-based scores are reported in “VnCoreNLP: A Vietnamese Natural Language Processing Toolkit” Part-of-speech tagging 27,870...