research
∙
08/11/2023
DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity
The unprecedented photorealistic results achieved by recent text-to-imag...
share
research
∙
05/27/2023
Graph Inductive Biases in Transformers without Message Passing
Transformers for graph data are increasingly widely studied and successf...
research
∙
05/15/2023
Improved baselines for vision-language pre-training
Contrastive learning has emerged as an efficient framework to learn mult...
research
∙
04/26/2023
Controllable Image Generation via Collage Representations
Recent advances in conditional generative image models have enabled impr...
research
∙
03/16/2023
Instance-Conditioned GAN Data Augmentation for Representation Learning
Data augmentation has become a crucial component to train state-of-the-a...
research
∙
02/15/2023
Learning to Substitute Ingredients in Recipes
Recipe personalization through ingredient substitution has the potential...
research
∙
01/02/2023
On the Challenges of using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects
Drug dosing is an important application of AI, which can be formulated a...
research
∙
10/03/2022
Uncertainty-Driven Active Vision for Implicit Scene Reconstruction
Multi-view implicit scene reconstruction methods have become increasingl...
research
∙
07/20/2022
Revisiting Hotels-50K and Hotel-ID
In this paper, we propose revisited versions for two recent hotel recogn...
research
∙
03/30/2022
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction
Most current approaches to undersampled multi-coil MRI reconstruction fo...
research
∙
02/15/2022
Fairness Indicators for Systematic Assessments of Visual Feature Extractors
Does everyone equally benefit from computer vision systems? Answers to t...
research
∙
10/25/2021
Parameter Prediction for Unseen Deep Architectures
Deep learning has been successful in automating the design of features i...
research
∙
09/10/2021
Instance-Conditioned GAN
Generative Adversarial Networks (GANs) can generate near photo realistic...
research
∙
05/09/2021
Graph Attention Networks with Positional Embeddings
Graph Neural Networks (GNNs) are deep learning methods which provide the...
research
∙
12/07/2020
