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02/16/2023
Tuning computer vision models with task rewards
Misalignment between model predictions and intended usage can be detrime...
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06/17/2022
How robust are pre-trained models to distribution shift?
The vulnerability of machine learning models to spurious correlations ha...
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01/31/2022
Adversarial Masking for Self-Supervised Learning
We propose ADIOS, a masked image model (MIM) framework for self-supervis...
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06/23/2021
Learning Multimodal VAEs through Mutual Supervision
Multimodal VAEs seek to model the joint distribution over heterogeneous ...
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04/20/2021
Gradient Matching for Domain Generalization
Machine learning systems typically assume that the distributions of trai...
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07/02/2020
Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models
Multimodal learning for generative models often refers to the learning o...
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11/18/2019
Action Anticipation with RBF Kernelized Feature Mapping RNN
We introduce a novel Recurrent Neural Network-based algorithm for future...
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11/18/2019
Action Anticipation with RBF KernelizedFeature Mapping RNN
We introduce a novel Recurrent Neural Network-based algorithm for future...
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11/08/2019
