generalization
There are 185 repositories under generalization topic.
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
SinclairCoder/Instruction-Tuning-Papers
Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
adapt-python/adapt
Awesome Domain Adaptation Python Toolbox
twni2016/pomdp-baselines
Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
QingyongHu/SpinNet
[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
modestyachts/ImageNetV2
A new test set for ImageNet
modestyachts/CIFAR-10.1
Release of CIFAR-10.1, a new test set for CIFAR-10.
huangwl18/modular-rl
[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"
rr-learning/CausalWorld
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
ShengcaiLiao/QAConv
[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
mbchang/dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
masala/masala-parser
Javascript Generalized Parser Combinators
decisionforce/pgdrive
PGDrive: an open-ended driving simulator with infinite scenes from procedural generation
liangchen527/SLADD
Official code for Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection (CVPR 2022 oral)
LayneH/self-adaptive-training
[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training
automl/CARL
Benchmarking RL generalization in an interpretable way.
rehg-lab/3DShapeGen
Code for 3D Reconstruction of Novel Object Shapes from Single Images paper
CHAOZHAO-1/DG-PHM
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)
Wuyxin/DIR-GNN
Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)
weitianxin/awesome-distribution-shift
A curated list of papers and resources about the distribution shift in machine learning.
dido1998/Recurrent-Independent-Mechanisms
Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)
FranxYao/Distributional-Generalization-in-Natural-Language-Processing
Distributional Generalization in NLP. A roadmap.
gustaveroussy/sopa
Technology-invariant pipeline for spatial omics analysis (Xenium / MERSCOPE / CosMx / PhenoCycler / MACSima / Hyperion) that scales to millions of cells
harsh306/awesome-nn-optimization
Awesome list for Neural Network Optimization methods.
addtt/object-centric-library
Library for the training and evaluation of object-centric models (ICML 2022)
RobertCsordas/transformer_generalization
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.
seawee1/driver-dojo
A benchmark towards generalizable reinforcement learning for autonomous driving.
sayakpaul/Sharpness-Aware-Minimization-TensorFlow
Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.
nishiwen1214/DropAttack
Code of paper: "DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks"
kristijanbartol/general-3d-humans
[CVPR 2022 Oral] Generalizable Human Pose Triangulation
varungohil/Generalizing-Lottery-Tickets
This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers"
bneyshabur/over-parametrization
Computing various norms/measures on over-parametrized neural networks
ExplainableML/WaffleCLIP
Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts"
Shiweiliuiiiiiii/In-Time-Over-Parameterization
[ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, Decebal Constantin Mocanu, Mykola Pechenizkiy
HighwayWu/LASTED
Synthetic Image Detection
RobertCsordas/modules
The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.