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Found 5 papers, 1 papers with code
Well begun is half done: Importance of Starting Right in Multi-Step Math Reasoning
We propose two ways in which a smaller model can benefit from initial guidance: 1) asking an LLM for initial guidance, and 2) self-questioning guidance, where the student model can first initiate a question regarding how to start and then continue that chain.
Face Cartoonisation For Various Poses Using StyleGAN
This paper presents an innovative approach to achieve face cartoonisation while preserving the original identity and accommodating various poses.
Optimized EEG based mood detection with signal processing and deep neural networks for brain-computer interface
Electroencephalogram (EEG) is a very promising and widely implemented procedure to study brain signals and activities by amplifying and measuring the post-synaptical potential arising from electrical impulses produced by neurons and detected by specialized electrodes attached to specific points in the scalp.
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
In principle, applying variational autoencoders (VAEs) to sequential data offers a method for controlled sequence generation, manipulation, and structured representation learning.
Indic-Transformers: An Analysis of Transformer Language Models for Indian Languages
Language models based on the Transformer architecture have achieved state-of-the-art performance on a wide range of NLP tasks such as text classification, question-answering, and token classification.
