Transformers are Sample-Efficient World Models Vincent Micheli*,Eloi Alonso*,François Fleuret * Denotes equal contribution IRIS agent after 100k environment steps, i.e. two hours of real-time experience tl;dr IRIS is a data-efficient agent trained over millions of imagined trajectories in a worl...
EP-Transformer: Efficient Context Propagation forLong Document Nowadays, transformers are widely used in NLP applications. However, since the model complexity increases quadratically with sequence length, it is intract... C Xie,H Wang,S Chen,... - Ccf International Conference on Natural Language ...
Now that you have a better understanding of the encoder architecture, you are ready to delve into decoder and encoder-decoder models, which are very similar to what we have just explored. Decoders play a pivotal role in generative tasks and are at the core of the popular GPT models. Refere...
Last commit date Latest commit History 14 Commits AVE AVQA AVS README.md README 📗Paper||🏠Project Page This is the PyTorch implementation of our paper: Vision Transformers are Parameter-Efficient Audio-Visual Learners Yan-Bo Lin,Yi-Lin Sung,Jie Lei,Mohit Bansal, andGedas Bertasius ...
Therefore, there is a growing interest in efficient short-duration PDC measurement methodologies. Deep learning techniques hold the potential to address this challenge by enhancing the measurement process, leading to shorter measurement times and ultimately elevating the precision and dependability of ...
Indeed, the popular model architectures of today might eventually be replaced by something more efficient in the future. "Perhaps transformers and diffusion models will outlive their usefulness when new architectures arise," White said. We saw this with transformers when their introduction made lon...
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Also, can you explain briefly why multiples of 8 might be more efficient? In essence, GPUs are a massive collection of tiny "CPUs". Despite being slow individually, these tiny "CPUs" are extremely parallelizable, which is why GPUs are fast for those tasks. There are essentially always a mu...
The Rx resonant coil and the load coil are arranged coaxially to each other. As the distance increases from 40 cm to 100 cm, the geometric dimensions of the load coil can be adjusted for optimal impedance matching. In this case, the number of turns for input impedance matching is the ...