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Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
paper
papers
survey
theory
few-shot
deep-learning
meta-learning
tutorial-code
generalization
style-transfer
domain-adaption
machine-learning
transferlearning
domain-adaptation
few-shot-learning
transfer-learning
domain-generalization
unsupervised-learning
representation-learning
self-supervised-learning
Created
2017-04-30
1,176 commits to master branch, last one 2 days ago
Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
Created
2022-11-24
29 commits to main branch, last one about a year ago
Awesome Domain Adaptation Python Toolbox
Created
2020-06-25
581 commits to master branch, last one about a month ago
Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
Created
2021-10-09
97 commits to main branch, last one about a year ago
[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
Created
2020-11-18
21 commits to main branch, last one 3 years ago
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
llms
robustness
model-fusion
meta-learning
model-merging
attack-defense
generalization
diffusion-models
generative-model
knowledge-fusion
ensemble-learning
few-shot-learning
foundation-models
transfer-learning
continual-learning
federated-learning
zero-shot-learning
multi-task-learning
large-language-models
multi-domain-learning
Created
2024-06-19
142 commits to main branch, last one 2 days ago
A new test set for ImageNet
Created
2019-02-12
9 commits to master branch, last one about a year ago
[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"
Created
2020-07-09
10 commits to master branch, last one 3 years ago
AWM: Agent Workflow Memory
Created
2024-08-28
20 commits to main branch, last one 25 days ago
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Created
2020-06-27
34 commits to master branch, last one 2 years ago
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)
Created
2023-02-03
268 commits to main branch, last one 8 days ago
[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
reid
re-id
person-reid
person-search
correspondence
generalization
image-matching
metric-learning
temporal-models
generalizability
interpretability
person-retrieval
re-identification
person-recognition
adaptive-convolution
deep-metric-learning
domain-generalization
person-reidentification
person-re-identification
interpretable-deep-learning
Created
2019-07-08
53 commits to master branch, last one about a year ago
Javascript Generalized Parser Combinators
Created
2016-05-20
618 commits to master branch, last one 6 months ago
Technology-invariant pipeline for spatial omics analysis that scales to millions of cells (Xenium / Visium HD / MERSCOPE / CosMx / PhenoCycler / MACSima / etc)
Created
2023-09-04
882 commits to master branch, last one 22 days ago
Official code for Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection (CVPR 2022 oral)
Created
2022-03-06
4 commits to main branch, last one 2 years ago
Benchmarking RL generalization in an interpretable way.
Created
2021-06-14
2,162 commits to main branch, last one 10 months ago
A prize winning solution for Multimedia Deepfake Detection competition.
Created
2024-09-04
27 commits to main branch, last one 3 months ago
[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training
Created
2020-02-22
10 commits to master branch, last one 3 years ago
PGDrive: an open-ended driving simulator with infinite scenes from procedural generation
Created
2020-11-21
405 commits to main branch, last one 3 years ago
Code for 3D Reconstruction of Novel Object Shapes from Single Images paper
Created
2020-05-13
101 commits to master branch, last one 2 years ago
Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)
Created
2022-01-29
50 commits to main branch, last one about a year ago
A curated list of papers and resources about the distribution shift in machine learning.
Created
2022-12-19
58 commits to main branch, last one about a year ago
Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)
Created
2020-02-01
120 commits to master branch, last one 4 years ago
Distributional Generalization in NLP. A roadmap.
Created
2021-03-19
56 commits to main branch, last one 2 years ago
Awesome list for Neural Network Optimization methods.
Created
2019-08-04
89 commits to master branch, last one 9 months ago
A benchmark towards generalizable reinforcement learning for autonomous driving.
Created
2022-06-09
135 commits to main branch, last one about a year ago
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 transform...
Created
2021-08-25
4 commits to master branch, last one 3 years ago
Library for the training and evaluation of object-centric models (ICML 2022)
Created
2022-05-27
12 commits to main branch, last one about a year ago
This is a benckmark for domain generalization-based fault diagnosis (基于领域泛化的相关代码)
Created
2024-02-01
25 commits to main branch, last one 8 days ago
Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.
Created
2021-02-25
22 commits to main branch, last one 3 years ago