Johan Bjorck | DeepAI

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∙ 02/27/2023

Language Is Not All You Need: Aligning Perception with Language Models

A big convergence of language, multimodal perception, action, and world ...

0 Shaohan Huang, et al. ∙

∙ 08/22/2022

Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks

A big convergence of language, vision, and multimodal pretraining is eme...

6 Wenhui Wang, et al. ∙

∙ 10/21/2021

Is High Variance Unavoidable in RL? A Case Study in Continuous Control

Reinforcement learning (RL) experiments have notoriously high variance, ...

4 Johan Bjorck, et al. ∙

∙ 06/02/2021

Towards Deeper Deep Reinforcement Learning

In computer vision and natural language processing, innovations in model...

21 Johan Bjorck, et al. ∙

∙ 02/26/2021

Low-Precision Reinforcement Learning

Low-precision training has become a popular approach to reduce computati...

51 Johan Bjorck, et al. ∙

∙ 12/27/2020

Understanding Decoupled and Early Weight Decay

Weight decay (WD) is a traditional regularization technique in deep lear...

20 Johan Bjorck, et al. ∙

∙ 02/25/2019

Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant

In this work, we consider applying machine learning to the analysis and ...

0 Johan Bjorck, et al. ∙

∙ 06/01/2018

Understanding Batch Normalization

Batch normalization is a ubiquitous deep learning technique that normali...

0 Johan Bjorck, et al. ∙

∙ 11/18/2017

Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Network

Cascades represent rapid changes in networks. A cascading phenomenon of ...

0 Johan Bjorck, et al. ∙

∙ 10/03/2016

Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery

High-Throughput materials discovery involves the rapid synthesis, measur...

0 Yexiang Xue, et al. ∙

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