Luyu Wang | DeepAI

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∙ 01/23/2023

Zorro: the masked multimodal transformer

Attention-based models are appealing for multimodal processing because i...

17 Adria Recasens, et al. ∙

∙ 10/25/2022

In-context Reinforcement Learning with Algorithm Distillation

We propose Algorithm Distillation (AD), a method for distilling reinforc...

1 Michael (Misha) Laskin, et al. ∙

∙ 11/23/2021

Towards Learning Universal Audio Representations

The ability to learn universal audio representations that can solve dive...

0 Luyu Wang, et al. ∙

∙ 07/20/2021

WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset

We present a new dataset of Wikipedia articles each paired with a knowle...

65 Luyu Wang, et al. ∙

∙ 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...

0 Luyu Wang, et al. ∙

∙ 04/26/2021

Multimodal Self-Supervised Learning of General Audio Representations

We present a multimodal framework to learn general audio representations...

0 Luyu Wang, et al. ∙

∙ 03/30/2021

Broaden Your Views for Self-Supervised Video Learning

Most successful self-supervised learning methods are trained to align th...

3 Adria Recasens, et al. ∙

∙ 03/11/2021

Multi-Format Contrastive Learning of Audio Representations

Recent advances suggest the advantage of multi-modal training in compari...

0 Luyu Wang, et al. ∙

∙ 01/29/2020

Learning Robust and Multilingual Speech Representations

Unsupervised speech representation learning has shown remarkable success...

0 Kazuya Kawakami, et al. ∙

∙ 02/22/2019

On the Sensitivity of Adversarial Robustness to Input Data Distributions

Neural networks are vulnerable to small adversarial perturbations. Exist...

0 Gavin Weiguang Ding, et al. ∙

∙ 02/20/2019

advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch

advertorch is a toolbox for adversarial robustness research. It contains...

0 Gavin Weiguang Ding, et al. ∙

∙ 08/10/2017

Automatic Selection of t-SNE Perplexity

t-Distributed Stochastic Neighbor Embedding (t-SNE) is one of the most w...

0 Yanshuai Cao, et al. ∙

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