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07/30/2023
Unified Model for Image, Video, Audio and Language Tasks
Large Language Models (LLMs) have made the ambitious quest for generalis...
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06/14/2023
Improving Selective Visual Question Answering by Learning from Your Peers
Despite advances in Visual Question Answering (VQA), the ability of mode...
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06/07/2023
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards
Foundation models are first pre-trained on vast unsupervised datasets an...
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03/20/2023
eP-ALM: Efficient Perceptual Augmentation of Language Models
Large Language Models (LLMs) have so far impressed the world, with unpre...
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05/22/2022
Dynamic Query Selection for Fast Visual Perceiver
Transformers have been matching deep convolutional networks for vision a...
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09/07/2021
Fishr: Invariant Gradient Variances for Out-of-distribution Generalization
Learning robust models that generalize well under changes in the data di...
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04/07/2021
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering
We introduce an evaluation methodology for visual question answering (VQ...
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06/17/2020
Overcoming Statistical Shortcuts for Open-ended Visual Counting
Machine learning models tend to over-rely on statistical shortcuts. Thes...
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06/24/2019
RUBi: Reducing Unimodal Biases in Visual Question Answering
Visual Question Answering (VQA) is the task of answering questions about...
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04/30/2018