Luke Melas-Kyriazi | DeepAI

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∙ 08/23/2023

Augmenting medical image classifiers with synthetic data from latent diffusion models

While hundreds of artificial intelligence (AI) algorithms are now approv...

0 Luke W. Sagers, et al. ∙

∙ 02/21/2023

PC^2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction

Reconstructing the 3D shape of an object from a single RGB image is a lo...

0 Luke Melas-Kyriazi, et al. ∙

∙ 02/21/2023

RealFusion: 360° Reconstruction of Any Object from a Single Image

We consider the problem of reconstructing a full 360 photographic model ...

0 Luke Melas-Kyriazi, et al. ∙

∙ 11/14/2022

Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding

In open-ended natural-language generation, existing text decoding method...

0 Mirac Suzgun, et al. ∙

∙ 07/08/2022

The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications

Innovation is a major driver of economic and social development, and inf...

5 Mirac Suzgun, et al. ∙

∙ 05/23/2022

Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models

We propose a method for arbitrary textual style transfer (TST)–the task ...

0 Mirac Suzgun, et al. ∙

∙ 05/16/2022

Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization

Unsupervised localization and segmentation are long-standing computer vi...

0 Luke Melas-Kyriazi, et al. ∙

∙ 12/05/2021

Intrinisic Gradient Compression for Federated Learning

Federated learning is a rapidly-growing area of research which enables a...

0 Luke Melas-Kyriazi, et al. ∙

∙ 05/17/2021

PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training

Unsupervised domain adaptation is a promising technique for semantic seg...

9 Luke Melas-Kyriazi, et al. ∙

∙ 05/17/2021

Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models

Recent research has shown that numerous human-interpretable directions e...

15 Luke Melas-Kyriazi, et al. ∙

∙ 05/06/2021

Do You Even Need Attention? A Stack of Feed-Forward Layers Does Surprisingly Well on ImageNet

The strong performance of vision transformers on image classification an...

0 Luke Melas-Kyriazi, et al. ∙

∙ 10/30/2020

The Mathematical Foundations of Manifold Learning

Manifold learning is a popular and quickly-growing subfield of machine l...

0 Luke Melas-Kyriazi, et al. ∙

∙ 03/06/2020

Show, Edit and Tell: A Framework for Editing Image Captions

Most image captioning frameworks generate captions directly from images,...

0 Fawaz Sammani, et al. ∙

∙ 01/25/2020

Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings

Over the past year, the emergence of transfer learning with large-scale ...

0 Luke Melas-Kyriazi, et al. ∙

∙ 08/19/2019

Encoder-Agnostic Adaptation for Conditional Language Generation

Large pretrained language models have changed the way researchers approa...

0 Zachary M. Ziegler, et al. ∙

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