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

Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).

A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization

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

A new test set for ImageNet

Release of CIFAR-10.1, a new test set for CIFAR-10.

[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"

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

A Compositional Object-Based Approach to Learning Physical Dynamics

Javascript Generalized Parser Combinators

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

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

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

Benchmarking RL generalization in an interpretable way.

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

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

This is a reposotory that includes paper、code and datasets about domain generalization-based fault diagnosis and prognosis. (基于领域泛化的故障诊断和预测，持续更新)