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03/23/2023
End-to-End Diffusion Latent Optimization Improves Classifier Guidance
Classifier guidance – using the gradients of an image classifier to stee...
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11/22/2022
EDICT: Exact Diffusion Inversion via Coupled Transformations
Finding an initial noise vector that produces an input image when fed in...
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06/27/2022
ProGen2: Exploring the Boundaries of Protein Language Models
Attention-based models trained on protein sequences have demonstrated in...
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04/23/2022
Can domain adaptation make object recognition work for everyone?
Despite the rapid progress in deep visual recognition, modern computer v...
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12/14/2021
CLIP-Lite: Information Efficient Visual Representation Learning from Textual Annotations
We propose CLIP-Lite, an information efficient method for visual represe...
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12/01/2021
PreViTS: Contrastive Pretraining with Video Tracking Supervision
Videos are a rich source for self-supervised learning (SSL) of visual re...
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10/08/2021
Field Extraction from Forms with Unlabeled Data
We propose a novel framework to conduct field extraction from forms with...
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07/07/2021
Deep Extrapolation for Attribute-Enhanced Generation
Attribute extrapolation in sample generation is challenging for deep neu...
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12/08/2020
CASTing Your Model: Learning to Localize Improves Self-Supervised Representations
Recent advances in self-supervised learning (SSL) have largely closed th...
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10/28/2020
Designing Interpretable Approximations to Deep Reinforcement Learning with Soft Decision Trees
In an ever expanding set of research and application areas, deep neural ...
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04/28/2020
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies
Tackling real-world socio-economic challenges requires designing and tes...
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03/30/2020
Improving out-of-distribution generalization via multi-task self-supervised pretraining
Self-supervised feature representations have been shown to be useful for...
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09/16/2018
Maximum-Entropy Fine-Grained Classification
Fine-Grained Visual Classification (FGVC) is an important computer visio...
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05/30/2017
Accelerating Neural Architecture Search using Performance Prediction
Methods for neural network hyperparameter optimization and meta-modeling...
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05/22/2017
Training with Confusion for Fine-Grained Visual Classification
Research in Fine-Grained Visual Classification has focused on tackling t...
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08/05/2016
Deep Learning the City : Quantifying Urban Perception At A Global Scale
Computer vision methods that quantify the perception of urban environmen...
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01/20/2015