Results 1 to 10 of about 531,077 (291)
VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking [PDF]
Computer Vision and Pattern Recognition, 2023 Scale is the primary factor for building a powerful foundation model that could well generalize to a variety of downstream tasks. However, it is still challenging to train video foundation models with billions of parameters.
Limin Wang +7 more
semanticscholar +1 more source
Scaling Language-Image Pre-Training via Masking [PDF]
Computer Vision and Pattern Recognition, 2022 We present Fast Language-Image Pre-training (FLIP), a simple and more efficient method for training CLIP [52]. Our method randomly masks out and removes a large portion of image patches during training.
Yanghao Li +4 more
semanticscholar +1 more source
SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders [PDF]
Neural Information Processing Systems, 2022 Recently, significant progress has been made in masked image modeling to catch up to masked language modeling. However, unlike words in NLP, the lack of semantic decomposition of images still makes masked autoencoding (MAE) different between vision and ...
Gang Li +4 more
semanticscholar +1 more source
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms [PDF]
The Florida AI Research Society, 2020 In recent years, Deep Reinforcement Learning (DRL) algorithms have achieved state-of-the-art performance in many challenging strategy games. Because these games have complicated rules, an action sampled from the full discrete action distribution ...
Shengyi Huang, Santiago Ontan'on
semanticscholar +1 more source
Informational masking of negative masking [PDF]
The Journal of the Acoustical Society of America, 2020 Negative masking (NM) is a ubiquitous finding in near-“threshold” psychophysics in which the detectability of a near-threshold signal improves when added to a copy of itself, i.e., a pedestal or masker. One interpretation of NM suggests that the pedestal acts as an informative cue, thereby reducing uncertainty and improving performance relative to ...
Christopher, Conroy +2 more
openaire +2 more sources
Side-Channel Attacks on Masked Bitsliced Implementations of AES
Cryptography, 2022 In this paper, we provide a detailed analysis of CPA and Template Attacks on masked implementations of bitsliced AES, targeting a 32-bit platform through the ChipWhisperer side-channel acquisition tool.
Anca Rădulescu, Marios O. Choudary
doaj +1 more source
Canadian Journal of Infectious Diseases and Medical Microbiology, 2022 Antibiotic-associated diarrhea (AAD) is a common morbidity caused by antibiotic use and is characterized by the dysbiosis of the gut microbiota. Several clinical trials have shown that probiotics can prevent AAD.
Ni Yang +5 more
doaj +1 more source
Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation [PDF]
IEEE/ACM Transactions on Audio Speech and Language Processing, 2018 Single-channel, speaker-independent speech separation methods have recently seen great progress. However, the accuracy, latency, and computational cost of such methods remain insufficient.
Yi Luo, N. Mesgarani
semanticscholar +1 more source
Masking as an Efficient Alternative to Finetuning for Pretrained Language Models [PDF]
Conference on Empirical Methods in Natural Language Processing, 2020 We present an efficient method of utilizing pretrained language models, where we learn selective binary masks for pretrained weights in lieu of modifying them through finetuning.
Mengjie Zhao +3 more
semanticscholar +1 more source
Side-Channel Protections for Picnic Signatures
Transactions on Cryptographic Hardware and Embedded Systems, 2021 We study masking countermeasures for side-channel attacks against signature schemes constructed from the MPC-in-the-head paradigm, specifically when the MPC protocol uses preprocessing.
Diego F. Aranha +6 more
doaj +1 more source