Is artificial intelligence advancing too quickly? What AI leaders at Google say https://
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#ai #artificalintelligence #MachineLearning #DeepLearning #google
MACHINE LEARNING
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Is AI Advancing Too Quickly Google Leaders Weigh In
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Transformers Learn Through Gradual Rank Increase
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Transformers learn through gradual rank increase paper page: https://
huggingface.co/papers/2306.07
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… identify incremental learning dynamics in transformers, where the difference between trained and initial weights progressively increases in rank. We rigorously prove this occurs under the -

Cap3D: Scalable Automatic 3D Object Text Description System
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Scalable 3D Captioning with Pretrained Models paper page: https://
huggingface.co/papers/2306.07
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dataset: https://
huggingface.co/datasets/tiang
e/Cap3D
… introduce Cap3D, an automatic approach for generating descriptive text for 3D objects. This approach utilizes pretrained models from image captioning, image-text -

Retrieval-Enhanced Contrastive Vision-Text Models for Improved Concept Recognition
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Retrieval-Enhanced Contrastive Vision-Text Models paper page: https://
huggingface.co/papers/2306.07
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… Contrastive image-text models such as CLIP form the building blocks of many state-of-the-art systems. While they excel at recognizing common generic concepts, they still struggle on -

FasterViT: Fast Vision Transformers with Hierarchical Attention
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FasterViT: Fast Vision Transformers with Hierarchical Attention paper page: https://
huggingface.co/papers/2306.06
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… design a new family of hybrid CNN-ViT neural networks, named FasterViT, with a focus on high image throughput for computer vision (CV) applications. FasterViT combines the -

Benchmarking Neural Network Training Algorithms: Performance Analysis
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Benchmarking Neural Network Training Algorithms paper page: https://
huggingface.co/papers/2306.07
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… Training algorithms, broadly construed, are an essential part of every deep learning pipeline. Training algorithm improvements that speed up training across a wide variety of workloads (e.g., -

Controlling Text-to-Image Diffusion by Orthogonal Finetuning
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Controlling Text-to-Image Diffusion by Orthogonal Finetuning paper page: https://
huggingface.co/papers/2306.07
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… Large text-to-image diffusion models have impressive capabilities in generating photorealistic images from text prompts. How to effectively guide or control these powerful models to -

Face0: Instant Face Conditioning for Text-to-Image Models
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Face0: Instantaneously Conditioning a Text-to-Image Model on a Face paper page: https://
huggingface.co/papers/2306.06
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… present Face0, a novel way to instantaneously condition a text-to-image generation model on a face, in sample time, without any optimization procedures such as fine-tuning or -
Humorous commitment to converting someone to PyTorch
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maybe not this year, but I'll convert you to PyTorch eventually haha
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Pretrained Models Make Fine-tuning the Only Practical Approach
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Hah, and even further, with pretrained models available, anything more than finetuning feels like a pain