Projects in Awesome Lists tagged with generalization

https://github.com/jindongwang/transferlearning

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

deep-learning domain-adaptation domain-adaption domain-generalization few-shot few-shot-learning generalization machine-learning meta-learning paper papers representation-learning self-supervised-learning style-transfer survey theory transfer-learning transferlearning tutorial-code unsupervised-learning

Last synced: 20 Mar 2025

https://github.com/sinclaircoder/instruction-tuning-papers

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

cross-task-generalization generalization instruction instruction-following large-language-models multi-task-learning natural-language-generation natural-language-processing natural-language-understanding prompt-learning

Last synced: 25 Jan 2026

https://github.com/SinclairCoder/Instruction-Tuning-Papers

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

cross-task-generalization generalization instruction instruction-following large-language-models multi-task-learning natural-language-generation natural-language-processing natural-language-understanding prompt-learning

Last synced: 02 Apr 2025

https://github.com/adapt-python/adapt

Awesome Domain Adaptation Python Toolbox

adversarial-learning adversarial-networks dann deep-learning domain-adaptation feature-selection few-shot-learning generalization importance-sampling machine-learning python regularization-parameters scikit-learn tensorflow transfer-learning zero-shot-learning

Last synced: 15 May 2025

https://github.com/qingyonghu/spinnet

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

3dmatch descriptor generalization kitti large-scale pointcloud pytorch-implementation registration

Last synced: 18 Jul 2025

https://github.com/QingyongHu/SpinNet

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

3dmatch descriptor generalization kitti large-scale pointcloud pytorch-implementation registration

Last synced: 20 Mar 2025

https://github.com/zorazrw/agent-workflow-memory

AWM: Agent Workflow Memory

agent generalization web-navigation

Last synced: 12 Apr 2025

https://github.com/rr-learning/CausalWorld

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

causality generalization reinforcement-learning robotics sim2real transfer-learning

Last synced: 17 Sep 2025

https://github.com/modestyachts/ImageNetV2

A new test set for ImageNet

dataset generalization imagenet overfitting robustness

Last synced: 08 May 2025

https://github.com/huangwl18/modular-rl

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

decentralized-control deep-learning emergent-communication generalization graph-neural-networks locomotion message-passing modular-control modularity reinforcement-learning

Last synced: 05 May 2025

https://github.com/modestyachts/CIFAR-10.1

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

cifar-10 dataset generalization

Last synced: 25 Jul 2025

https://github.com/masala/masala-parser

Javascript Generalized Parser Combinators

functional-programming generalization monad parsec parser-combinator

Last synced: 12 Jan 2026

https://github.com/decisionforce/pgdrive

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

autonomous-driving computer-vision deep-learning generalization imitation-learning machine-learning multi-agent panda3d procedural-generation reinforcement-learning simulation simulator

Last synced: 24 Dec 2025

https://github.com/LayneH/self-adaptive-training

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

adversarial-robustness computer-vision generalization label-noise machine-learning overfitting

Last synced: 19 Jul 2025

https://github.com/franxyao/distributional-generalization-in-natural-language-processing

Distributional Generalization in NLP. A roadmap.

compositional-generalization compositionality generalization learning-theory semantic-parsing semantics

Last synced: 30 Apr 2025

https://github.com/lechmazur/generalization

Thematic Generalization Benchmark: measures how effectively various LLMs can infer a narrow or specific "theme" (category/rule) from a small set of examples and anti-examples, then detect which item truly fits that theme among a collection of misleading candidates.

benchmark evaluation generalization gpt-4-5 llm llms llms-benchmarking sonnet3-7

Last synced: 30 Jan 2026

https://github.com/sayakpaul/sharpness-aware-minimization-tensorflow

Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.

computer-vision deep-neural-networks generalization loss-landscape tensorflow tpu-acceleration

Last synced: 30 Apr 2025

https://github.com/nishiwen1214/dropattack

Code of paper: "DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks"

adversarial-learning dropattack generalization pytorch pytorch-implementation text-classification

Last synced: 15 May 2025

https://github.com/HighwayWu/LASTED

Synthetic Image Detection

generalization language-supervision synthetic-image-detection

Last synced: 10 Aug 2025

https://github.com/vita-group/sparsity-win-robust-generalization

[ICLR 2022] "Sparsity Winning Twice: Better Robust Generalization from More Efficient Training" by Tianlong Chen*, Zhenyu Zhang*, Pengjun Wang*, Santosh Balachandra*, Haoyu Ma*, Zehao Wang, Zhangyang Wang

dynamic-sparse-training generalization lottery-ticket-hypothesis pruning robust-generalization robust-overfitting sparsity

Last synced: 29 Oct 2025

https://github.com/snap-stanford/zeroc

ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more complex, hierarchical concepts, even across domains

concept-learning energy-based-model generalization hierarchical neuro-symbolic zero-shot-learning

Last synced: 23 Oct 2025

https://github.com/ignf/cartagen

CartAGen is a plugin for GeOxygene dedicated to cartographic generalisation

cartography generalization multi-agent-systems

Last synced: 14 Apr 2025

https://github.com/zjunlp/diagnosere

[CCKS 2021] On Robustness and Bias Analysis of BERT-based Relation Extraction

adversarial-attacks bias dataset generalization relation-extraction robustness

Last synced: 23 Aug 2025

https://github.com/vita-group/tegnas

"Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics" by Wuyang Chen, Xinyu Gong, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, and Zhangyang Wang

darts-space evolutionary-algorithms generalization linear-region nas-bench-201 neural-architecture-search ntk reinforcement-learning

Last synced: 19 Apr 2025

https://github.com/Confusezius/Characterizing_Generalization_in_DeepMetricLearning

Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.

cars196 cub200-2011 deep-learning deep-metric-learning generalization out-of-distribution pytorch stanford-online-products

Last synced: 08 May 2025

https://github.com/implus/RecursiveMix-pytorch

Official Codes and Pretrained Models for RecursiveMix

cutmix cutmix-mixup data-augmentation generalization history image-classification mixup object-detection recursive semantic-segmentation

Last synced: 06 May 2025

https://github.com/vita-group/cv_a-fan

[TMLR] "Adversarial Feature Augmentation and Normalization for Visual Recognition", Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zhangyang Wang, Jingjing Liu

adversarial-feature-augmentation adversarial-feature-normalization data-augmentation feature-augmentation feature-normalization generalization visual-recognition

Last synced: 19 Apr 2025

https://github.com/ethancaballero/paper-notes

ML/DL/RL paper notes

buzzword-bingo deep-learning generalization reinforcement-learning

Last synced: 02 Apr 2025

https://github.com/rudymatela/extrapolate

generalize counter-examples of property-based testing

counter-example-generalization debugging enumerative-testing generalization haskell leancheck property-based-testing property-testing testing testing-tools

Last synced: 15 Apr 2025

https://github.com/roatienza/agmax

PyTorch code of my WACV 2022 paper Improving Model Generalization by Agreement of Learned Representations from Data Augmentation

data-augmentation generalization regularization wacv2022

Last synced: 11 Apr 2025

https://github.com/nishiwen1214/at_papers

Must-read papers on Adversarial training for neural networks！

adversarial-training generalization nlp robustness

Last synced: 28 Dec 2025

https://github.com/niutrans/gram

Code for ICML 2025 paper "GRAM: A Generative Foundation Reward Model for Reward Generalization"

generalization generative reward-model rlhf

Last synced: 07 Sep 2025

https://github.com/vita-group/lth-pass

[TMLR] "Can You Win Everything with Lottery Ticket?" by Tianlong Chen, Zhenyu Zhang, Jun Wu, Randy Huang, Sijia Liu, Shiyu Chang, Zhangyang Wang

adversarial-robustness explanability flatness generalization interpretability loss-landscape lottery-ticket-hypothesis out-of-distribution-detection pac-bayes robustness uncertainty winning-tickets

Last synced: 19 Apr 2025

https://github.com/frankaging/interchange-intervention-training

The codebase for Inducing Causal Structure for Interpretable Neural Networks

causal-models compositional-generalization generalization interventions

Last synced: 05 Aug 2025

https://github.com/vita-group/double-win-lth

[ICML 2022] "Data-Efficient Double-Win Lottery Tickets from Robust Pre-training" by Tianlong Chen, Zhenyu Zhang, Sijia Liu, Yang Zhang, Shiyu Chang, Zhangyang Wang

adversarial-robustness data-efficient generalization lottery-ticket-hypothesis pretraining robust-pretraining sparsity transfer-learning

Last synced: 19 Apr 2025

https://github.com/tomekkorbak/measuring-non-trivial-compositionality

Code accompanying the paper Measuring non-trivial compositionality in emergent communication

compositionality deep-learning emergent-communication generalization representation-learning

Last synced: 12 May 2025

https://github.com/nikitadurasov/ittt

Official code for "IT³: Idempotent Test-Time Training" (ICML 2025)

corruption generalization idempotence out-of-distribution test-time-adaptation test-time-training

Last synced: 16 Jan 2026

https://github.com/vita-group/m-l2o

[ICLR 2023] "M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation" by Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang

generalization learning-to-optimize

Last synced: 17 Jul 2025

https://github.com/gletarte/dichotomize-and-generalize

PAC-Bayesian Binary Activated Deep Neural Networks

deep-learning generalization learning-theory neural-network pac-bayes

Last synced: 06 Sep 2025

https://github.com/vita-group/optimizeramalgamation

[ICLR 2022] "Optimizer Amalgamation" by Tianshu Huang, Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang

generalization knowledge-amalgamation learning-to-optimize optimization stability

Last synced: 10 Mar 2025

https://github.com/mrshiposha/fortuples

Procedural macros to generalize inherent and trait implementations over tuples

crate for generalization impl macro macros metaprogramming proc-macro rust trait tuple tuples

Last synced: 12 Dec 2025

https://github.com/rpatrik96/lod-wmm-2019

Supplementary code for the paper "Stochastic Weight Matrix-based Regularization Methods for Deep Neural Networks" - an accepted paper of LOD2019

deep-learning deep-learning-algorithms deep-neural-networks generalization overfitting pytorch pytorch-implementation regularization regularization-methods weight-matrix weight-reinitialization weight-shuffling wmm

Last synced: 19 Jun 2025

https://github.com/vita-group/cil-qud

[TMLR 22] "Queried Unlabeled Data Improves and Robustifies Class- Incremental Learning" by Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Animi, Zhangyang Wang

adversarial-robustness class-incremental-learning continue-learning generalization lifelong-learning unlabeled-data

Last synced: 07 Feb 2026

https://github.com/kalthommusa/udacity-intro-to-deep-learning-introduction-to-neural-network

Collection of my notes from Udacity's Intro to Deep Learning--> Introduction to Neural Networks course.

activation-functions artificial-intelligence bias-variance classification deep-learning dnn dropout generalization gradient-descent-algorithm linear-regression logistic-regression machine-learning neural-network neural-networks regularization weights

Last synced: 16 Feb 2026

https://github.com/amitnema/spark-etl-framework

A generic, multimodule framework for building scalable ETL (Extract, Transform, Load) processes using Apache Spark and Java. This framework is designed to be cloud-agnostic, maintainable, testable, and near-production-ready.

etl etl-framework etl-pipeline general-purpose generalization java-11 maven spark-3x spark-submit

Last synced: 06 Oct 2025

https://github.com/hfooladi/alinemol

Exploring performance of machine learning model on out of distribution data in chemical domain

cheminformatics generalization molecular-property-prediction out-of-distribution

Last synced: 03 Mar 2025

https://github.com/julianmendez/gel

Generalization algorithms for the description logics EL and extensions.

generalization java jcel owl-api protege-plugin tu-dresden

Last synced: 22 Aug 2025

https://github.com/harmanveer-2546/guide-to-regularization

Regularization is a crucial technique in machine learning that helps to prevent overfitting. Overfitting occurs when a model becomes too complex and learns the training data so well that it fails to generalize to new, unseen data.

generalization inline l1 l2 matplotlib numpy overfitting overfitting-prevention overfitting-reduced pandas regularization regularization-methods regularization-techniques regularization-to-avoid-overfitting seaborn