The era of pre-trained models has ushered in a wealth of new insights for the machine learning community. Among the myriad of questions that arise, one of paramount importance is: 'Do pre-trained mode...

Discover how Google researchers repurposed AI models trained on bird songs to detect whale calls and track marine health. Explore the future of bioacoustic monitoring.

Recent advances in mixture-of-experts architectures have shown that individual experts models can be trained federatedly, i.e., in isolation from other experts by using a common base model to facilita...

We aim to investigate if we can improve predictions of stress caused by OCD symptoms using pre-trained models, and present our statistical analysis plan in this paper. With the methods presented in th...

Pre-trained models (PTMs) have become a fundamental backbone for downstream tasks in natural language processing and computer vision. Despite initial gains that were obtained by applying generic PTMs ...

Neural decoding of pathological and physiological states can enable patient-individualized closed-loop neuromodulation therapy. Recent advances in pre-trained large-scale foundation models offer the p...

In this study, the performances of the Whisper-Small and Wav2Vec2-XLS-R-300M models which are two pre-trained multilingual models for speech to text were examined for the Turkish language. Mozilla Com...

Here I will seek to establish that Jar Jar Binks, far from being simply the bumbling idiot he portrays himself as, is in fact a highly skilled force user in terms of martial ability and mind control. ...

We present an ongoing initiative to provide open, very large, high-quality, and richly annotated textual datasets for almost 200 languages. At 30 trillion tokens, this is likely the largest generally ...

(November 7, 2019). "OpenAI has published the text-generating AI it said was too dangerous to share". The Verge. Archived from the original on June 11, 2020

Data cleansing is a typical approach used to improve the accuracy of machine learning models, which, however, requires extensive domain knowledge to identify the influential instances that affect the ...

Points: 1 | Comments: 0 | Author: lilbaine

Hey everyone, I've been building a new transformer architecture from scratch called Wave Field Transformer. Instead of standard O(n²) dot-product attention, it uses FFT-based wave interferenc...

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Points: 8 | Comments: 1 | Author: Kroeler

Points: 2 | Comments: 0 | Author: varunvummadi

Modeling how humans interact with objects is crucial for AI to effectively assist or mimic human behaviors. Existing studies for learning such ability primarily focus on static human-object interactio...

Researchers say toilet training cows could lead to a large reduction in ammonia emissions.

Neural Transfer Learning (TL) is becoming ubiquitous in Natural Language Processing (NLP), thanks to its high performance on many tasks, especially in low-resourced scenarios. Notably, TL is widely us...

While traditional machine learning can effectively tackle a wide range of problems, it primarily operates within a closed-world setting, which presents limitations when dealing with streaming data. As...