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[Long Review] Cascaded Diffusion Models for High Fidelity Image Generation

Before Imagen and DALL-E 2 made diffusion the default for generative imagery, this Google Brain paper laid out the cascaded diffusion recipe that a lot of late…

Jun 4, 2022· 1 min read

Tutorials

[Short Review] Cascaded Diffusion Models for High Fidelity Image Generation

Cascaded diffusion is the two-stage-plus recipe underneath a lot of modern generative work: generate a small image with one diffusion model, then hand it to su…

Jun 4, 2022· 1 min read

Tutorials

[Long Review] Axial Attention in Multidimensional Transformers

Full self-attention over an image or a video is prohibitively expensive, so how do you keep the expressiveness of a Transformer without the quadratic blowup?

May 28, 2022· 1 min read

Tutorials

[Short Review] Axial Attention in Multidimensional Transformers

Axial attention is one of those elegant ideas that keeps Transformers tractable on high-dimensional data: instead of attending over every pixel or every time-f…

May 28, 2022· 1 min read

Tutorials

[Long Review] Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis

This is the paper that made zero-shot voice cloning practical: train a speaker encoder on a discriminative verification task with thousands of noisy, transcrip…

May 21, 2022· 1 min read

Tutorials

[Short Review] Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis

The Google paper that kicked off the modern zero-shot voice cloning wave has a beautifully clean architecture: a speaker encoder trained on verification, a Tac…

May 21, 2022· 1 min read

Tutorials

[Short Review] Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages

Self-supervised pretraining like wav2vec 2.0 gave us great speech encoders, but if you want a full encoder-decoder ASR system, the decoder was still starting f…

May 14, 2022· 1 min read

Tutorials

[Long Review] Towards Zero-Label Language Learning

What if you could train task-specific NLP models without a single human-labeled example? "Towards Zero-Label Language Learning" leans hard into that question.

May 7, 2022· 1 min read

Tutorials

[Short Review] Deduplicating Training Data Makes Language Models Better

How much of your language model's "generalization" is actually just regurgitation?

Apr 16, 2022· 1 min read

Tag: googleai