Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Awesome Domain Adaptation Python Toolbox

Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022

[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration

AWM: Agent Workflow Memory

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

[ECCV 2020] QAConv: Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting, and [CVPR 2022] GS: Graph Sampling Based Deep Metric Learning

Technology-invariant pipeline for spatial omics analysis that scales to millions of cells (Xenium / Visium HD / MERSCOPE / CosMx / PhenoCycler / MACSima / etc)

Benchmarking RL generalization in an interpretable way.

Official code for Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection (CVPR 2022 oral)

A prize winning solution for Multimedia Deepfake Detection competition.

[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training

PGDrive: an open-ended driving simulator with infinite scenes from procedural generation

Code for 3D Reconstruction of Novel Object Shapes from Single Images paper

Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)

Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)

A benchmark towards generalizable reinforcement learning for autonomous driving.

This is a benckmark for domain generalization-based fault diagnosis （基于领域泛化的相关代码）

The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.

Library for the training and evaluation of object-centric models (ICML 2022)