xFormers: Hackable and optimized Transformers building blocks, supporting a composable construction
— AK (@ak92501) October 20, 2021
github: https://t.co/HcAKAU2Mai pic.twitter.com/ZXTjcs70XK
xFormers: Hackable and optimized Transformers building blocks, supporting a composable construction
— AK (@ak92501) October 20, 2021
github: https://t.co/HcAKAU2Mai pic.twitter.com/ZXTjcs70XK
HRFormer: High-Resolution Transformer for Dense Prediction
— AK (@ak92501) October 19, 2021
abs: https://t.co/WuCrhSHWU3
github: https://t.co/tNfI7Ba1Go pic.twitter.com/Fa1n1k4eNt
1/ After a year of work, our paper on mRNA Degradation is finally out!
— Bojan Tunguz (@tunguz) October 16, 2021
paper: https://t.co/s63ik0c3Ey
code: https://t.co/UWIPSbOvHH pic.twitter.com/ooT2wvvuah
Active Learning for Deep Object Detection via Probabilistic Modeling
— AK (@ak92501) October 14, 2021
abs: https://t.co/u5x9EA2tgZ
github: https://t.co/SRylg7UWOY pic.twitter.com/MjLgaDsK4E
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
— AK (@ak92501) October 14, 2021
abs: https://t.co/x2es6mhWh4
github: https://t.co/AuNaKamE9s@XinggangWang pic.twitter.com/dsVm5TzVb0
Data-free Knowledge Distillation for Object Detection
— AK (@ak92501) October 13, 2021
pdf: https://t.co/y6ZqK9jenm
github: https://t.co/ncFsFtIsTX pic.twitter.com/e7OwRU9F7C
DeepRobust is a PyTorch adversarial library for attack and defense methods on images and graphs. https://t.co/DygJTpo0sF #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #PyTorch
— PyTorch Best Practices (@PyTorchPractice) September 30, 2021
Towards Flexible Blind JPEG Artifacts Removal
— AK (@ak92501) September 30, 2021
pdf: https://t.co/9c8iaGvfpP
abs: https://t.co/oquGUTolKx
github: https://t.co/lVrbwl2dCp pic.twitter.com/ViZL23bPDa
Muzic: Music Understanding and Generation with Artificial Intelligence
— AK (@ak92501) September 25, 2021
github: https://t.co/2XtiUh3h8e pic.twitter.com/4PTPX4qMia
Neural Distance Embeddings for Biological Sequences
— AK (@ak92501) September 22, 2021
abs: https://t.co/fvlN4fcGpB
github: https://t.co/Z0Ok68cWhH pic.twitter.com/nmNGqO8IRy
ConvMLP: Hierarchical Convolutional MLPs for Vision
— AK (@ak92501) September 10, 2021
pdf: https://t.co/f6c1XmyLSX
abs: https://t.co/vkgXvlCmcD
github: https://t.co/FyjNR8W3Oq pic.twitter.com/RXXJgzoula
Datasets: A Community Library for Natural Language Processing
— AK (@ak92501) September 8, 2021
abs: https://t.co/xEpY9oQ2a5
github: https://t.co/HvY6Nlf41c
650+ unique datasets, 250+ contributors, and has helped support a variety of novel crossdataset research projects and shared tasks pic.twitter.com/AdlB21Hu2c