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

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

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

Awesome Domain Adaptation Python Toolbox

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

A new test set for ImageNet

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

[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

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

A Compositional Object-Based Approach to Learning Physical Dynamics

Javascript Generalized Parser Combinators

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

Benchmarking RL generalization in an interpretable way.

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

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