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This repo is to demo the concept of lossless compression with Transformers as encoder and decoder.
This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Learning (2023 CVPR)
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
An up-to-date list of works on Multi-domain Multi-task learning
Universal Representations: A Unified Look at Multiple Task and Domain Learning
Learning Multiple Dense Prediction Tasks from Partially Annotated Data - CVPR 2022
Fiuggi Compiler Collection (FCC) is a high-performance compiler based on LLVM.
An up-to-date list of works on Multi-Task Learning
Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task-specific Adapters - CVPR 2022
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
DGMs for NLP. A roadmap.
A curated list of resources for Learning with Noisy Labels
Dataset Condensation (ICLR21 and ICML21)
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
A list of multi-task learning papers and projects.
A curated list of awesome self-supervised methods
Knowledge Distillation for Multi-task Learning (ECCV20 Workshops)
Learning to Impute: A General Framework for Semi-supervised
UDA(Unsupervised Data Augmentation) implemented by pytorch
Learning to Impute: A General Framework for Semi-supervised Learning
IEEE TNNLS 2021, transformer, multi-graph transformer, graph, graph classification, sketch recognition, sketch classification, free-hand sketch, official code of the paper "Multi-Graph Transformer …
Code for CVPR2019 "Learning to Learn Relation for Important People Detection in Still Images "
Pretrained Image & Video ConvNets and GANs for PyTorch: NASNet, ResNeXt (2D + 3D), ResNet (2D + 3D), InceptionV4, InceptionResnetV2, Xception, DPN, NonLocalNets, R(2+1)D nets, MultiView CNNs, Tempo…
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning