From masked image modeling to autoregressive image modeling | by Mengliu Zhao | June 2024
Previous training in image domainMoving to the image domain, the immediate question is how we form the “token sequence” of ...
Tag: autoregressive
ALPINE: Autoregressive learning for network planning
Large language models (LLMs), such as ChatGPT, have attracted a lot of attention because they can perform a wide range ...
Princeton and Meta AI researchers present 'Lory': a fully differentiable MoE model designed for autoregressive language model pre-training
Merge-of-experts (MoE) architectures use sparse activation to initialize scaling of model sizes while preserving high inference and training efficiency. However, ...
CMU researchers present 'Echo Embeddings': an embedding strategy designed to address an architectural limitation of autoregressive models
Neural text embeddings play a critical role in many modern natural language processing (NLP) applications. These embeddings are like fingerprints ...
Google DeepMind introduces MusicRL: a pre-trained autoregressive MusicLM model of discrete audio tokens fine-tuned with reinforcement learning to maximize sequence-level rewards
In the fascinating world of artificial intelligence and music, a team at Google DeepMind has taken an innovative step. His ...
Scalable pre-training of large autoregressive image models
This article presents AIM, a collection of vision models pre-trained with an autoregressive objective. These models are inspired by their ...
Meet Unified-IO 2: an autoregressive multimodal AI model capable of understanding and generating images, text, audio and action
The integration of multimodal data, such as text, images, audio, and video, is a burgeoning field in ai, driving advances ...
This AI article explores deep learning solutions to autoregressive errors in neural operators for advanced spatiotemporal forecasting.
This research delves into a formidable challenge within the domain of neural autoregressive operators: the limited ability to extend the ...
Pre-trained language models do not help autoregressive text-to-image generation
This work was accepted in the workshop. I can't believe it's not better! (ICBINB) at NeurIPS 2023. Recent advances in ...
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