research
∙
09/12/2023
Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals
Leveraging multimodal information from biosignals is vital for building ...
share
research
∙
03/07/2023
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors
Recent Self-Supervised Learning (SSL) methods are able to learn feature ...
research
∙
09/27/2022
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents
The perception system in personalized mobile agents requires developing ...
research
∙
07/27/2022
GAUDI: A Neural Architect for Immersive 3D Scene Generation
We introduce GAUDI, a generative model capable of capturing the distribu...
research
∙
07/15/2022
Position Prediction as an Effective Pretraining Strategy
Transformers have gained increasing popularity in a wide range of applic...
research
∙
07/01/2021
Implicit Acceleration and Feature Learning in Infinitely Wide Neural Networks with Bottlenecks
We analyze the learning dynamics of infinitely wide neural networks with...
research
∙
05/28/2021
An Attention Free Transformer
We introduce Attention Free Transformer (AFT), an efficient variant of T...
research
∙
05/17/2021
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
Offline Reinforcement Learning promises to learn effective policies from...
research
∙
02/12/2020
Capsules with Inverted Dot-Product Attention Routing
We introduce a new routing algorithm for capsule networks, in which a ch...
research
∙
12/06/2019
Geometric Capsule Autoencoders for 3D Point Clouds
We propose a method to learn object representations from 3D point clouds...
research
∙
01/30/2015
Co-Regularized Deep Representations for Video Summarization
Compact keyframe-based video summaries are a popular way of generating v...
research
∙
01/20/2015