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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 ...
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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...
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10/21/2021
Is High Variance Unavoidable in RL? A Case Study in Continuous Control
Reinforcement learning (RL) experiments have notoriously high variance, ...
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06/02/2021
Towards Deeper Deep Reinforcement Learning
In computer vision and natural language processing, innovations in model...
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02/26/2021
Low-Precision Reinforcement Learning
Low-precision training has become a popular approach to reduce computati...
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12/27/2020
Understanding Decoupled and Early Weight Decay
Weight decay (WD) is a traditional regularization technique in deep lear...
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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 ...
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06/01/2018
Understanding Batch Normalization
Batch normalization is a ubiquitous deep learning technique that normali...
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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 ...
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10/03/2016
