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01/23/2023
Zorro: the masked multimodal transformer
Attention-based models are appealing for multimodal processing because i...
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10/25/2022
In-context Reinforcement Learning with Algorithm Distillation
We propose Algorithm Distillation (AD), a method for distilling reinforc...
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11/23/2021
Towards Learning Universal Audio Representations
The ability to learn universal audio representations that can solve dive...
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07/20/2021
WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset
We present a new dataset of Wikipedia articles each paired with a knowle...
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05/25/2021
A preconditioned mixed-FE scheme with stabilized Lagrange multiplier for frictional contact mechanics of crossing fractures in porous media
Simulation of contact mechanics in fractured media is of paramount impor...
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04/26/2021
Multimodal Self-Supervised Learning of General Audio Representations
We present a multimodal framework to learn general audio representations...
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03/30/2021
Broaden Your Views for Self-Supervised Video Learning
Most successful self-supervised learning methods are trained to align th...
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03/11/2021
Multi-Format Contrastive Learning of Audio Representations
Recent advances suggest the advantage of multi-modal training in compari...
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01/29/2020
Learning Robust and Multilingual Speech Representations
Unsupervised speech representation learning has shown remarkable success...
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02/22/2019
On the Sensitivity of Adversarial Robustness to Input Data Distributions
Neural networks are vulnerable to small adversarial perturbations. Exist...
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02/20/2019
advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch
advertorch is a toolbox for adversarial robustness research. It contains...
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08/10/2017