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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...
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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...
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02/21/2023
RealFusion: 360° Reconstruction of Any Object from a Single Image
We consider the problem of reconstructing a full 360 photographic model ...
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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...
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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...
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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 ...
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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...
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12/05/2021
Intrinisic Gradient Compression for Federated Learning
Federated learning is a rapidly-growing area of research which enables a...
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05/17/2021
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training
Unsupervised domain adaptation is a promising technique for semantic seg...
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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...
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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...
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10/30/2020
The Mathematical Foundations of Manifold Learning
Manifold learning is a popular and quickly-growing subfield of machine l...
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03/06/2020
Show, Edit and Tell: A Framework for Editing Image Captions
Most image captioning frameworks generate captions directly from images,...
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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 ...
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08/19/2019