Awesome-Awesomes-and-Surveys-in-Deep-Learning

Long-Tailed Learning

Paper	Venue	Repo
Deep Long-Tailed Learning: A Survey	TPAMI 2023	Awesome-LongTailed-Learning

Semi-Supervised Learning

Paper	Venue	Repo
An Overview of Deep Semi-Supervised Learning		awesome-semi-supervised-learning
A Survey on Deep Semi-Supervised Learning	TKDE 2023

Active Learning

Paper	Venue	Repo
		awesome-active-learning

Transfer Learning

Paper	Venue	Repo
		transferlearning
		Awesome-Parameter-Efficient-Transfer-Learning
		Awesome-Parameter-Efficient-Transfer-Learning
		awesome-model-transferability-estimation

Domain Adaptation

Paper	Venue	Repo
		awesome-domain-adaptation
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts	IJCV 2024	awesome-test-time-adaptation
In Search of Lost Online Test-time Adaptation: A Survey	IJCV 2024	OTTA_ViT_survey
Beyond Model Adaptation at Test Time: A Survey		Beyond-model-adaptation-at-test-time-Papers

OOD Detection

Paper	Venue	Repo
		Awesome-Out-Of-Distribution-Detection
Generalized Out-of-Distribution Detection: A Survey	IJCV 2024	OODSurvey
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey		Awesome-OOD-VLM
Recent Advances in OOD Detection: Problems and Approaches		Awesome-Out-Of-Distribution-Detection

Continual Learning

Paper	Venue	Repo
		Awesome-Incremental-Learning
A Comprehensive Survey of Continual Learning: Theory, Method and Application	TPAMI 2024
Class-Incremental Learning: A Survey	TPAMI 2024	CIL_Survey
Continual Learning with Pre-Trained Models: A Survey	IJCAI 2024	LAMDA-PILOT
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey		Awesome-Multimodal-Continual-Learning

Security

Paper	Venue	Repo
Adversarial Attacks of Vision Tasks in the Past 10 Years: A Survey
Backdoor Learning: A Survey	TNNLS 2022	backdoor-learning-resources
Safety at Scale: A Comprehensive Survey of Large Model Safety		Awesome-Large-Model-Safety

Unlearning

Paper	Venue	Repo
		machine_unlearning
A Survey of Machine Unlearning		awesome-machine-unlearning
Machine Unlearning in Generative AI: A Survey		Awesome-GenAI-Unlearning

VLM

Paper	Venue	Repo
Vision-Language Models for Vision Tasks: A Survey	TPAMI 2024	VLM_survey
Towards Open Vocabulary Learning: A Survey	TPAMI 2024	Awesome-Open-Vocabulary
		Awesome-Prompt-Adapter-Learning-for-VLMs
A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models		Awesome-Prompting-on-Vision-Language-Model

MLLM

Paper	Venue	Repo
		Awesome-Multimodal-Large-Language-Models
		Awesome-Multimodal-Large-Language-Models
Safety of Multimodal Large Language Models on Images and Texts	IJCAI 2024	Awesome-MLLM-Safety
A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends		Awesome-LVLM-Attack
From LLMs to MLLMs: Exploring the Landscape of Multimodal Jailbreaking	EMNLP 2024
Jailbreak Attacks and Defenses against Multimodal Generative Models: A Survey		Awesome-Multimodal-Jailbreak
		Awesome-LVLM-Safety
		Awesome-LVLM-Hallucination
		Awesome-LVLM-Hallucination
		Awesome-MLLM-Hallucination
Hallucination of Multimodal Large Language Models: A Survey		Awesome-MLLM-Hallucination
		Awesome-MLLM-Uncertainty

LLM

Paper	Venue	Repo
		Awesome-LLM
A Survey of Large Language Models		LLMSurvey
Foundational Challenges in Assuring Alignment and Safety of Large Language Models	TMLR 2024
		awesome-llm-understanding-mechanism
		Awesome-LLM-Interpretability
A Survey on In-context Learning	EMNLP 2024	ICL_PaperList
		Awesome-Transformer-Attention
Attention Heads of Large Language Models: A Survey		Awesome-Attention-Heads
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Parameter-Efficient Fine-Tuning for Foundation Models
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models
		Awesome-LLM-Compression
A Survey on Evaluation of Large Language Models	TIST 2023	LLM-eval-survey
LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods		Awesome-LLMs-as-Judges
		Awesome-LLM-as-a-judge
		Awesome-LM-SSP
		Awesome-LLM-Safety
		awesome-llm-security
Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey		awesome_LLM-harmful-fine-tuning-papers
		Awesome-Jailbreak-on-LLMs
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models		llm-hallucination-survey
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions	TOIS 2024	Awesome-LLM-hallucination
		awesome-hallucination-detection
		Reliable-LLM
A Survey on the Honesty of Large Language Models		LLM-Honesty-Survey
Conformal Prediction for Natural Language Processing: A Survey	TACL 2024
Editing Large Language Models: Problems, Methods, and Opportunities	EMNLP 2023	KnowledgeEditingPapers
A Comprehensive Study of Knowledge Editing for Large Language Models
Knowledge Editing for Large Language Models: A Survey	ACM Computing Surveys 2024
		awesome-llm-unlearning
A Closer Look at Machine Unlearning for Large Language Models		closer-look-LLM-unlearning
Towards Lifelong Learning of Large Language Models: A Survey	ACM Computing Surveys 2025	awesome-lifelong-learning-methods-for-llm
A Survey on Data Selection for Language Models		data-selection-survey

Diffusion

Paper	Venue	Repo
		awesome-text-to-image-studies
		Awesome-Text-to-Image
Controllable Generation with Text-to-Image Diffusion Models: A Survey		Awesome-Controllable-T2I-Diffusion-Models
		Awesome-Evaluation-of-Visual-Generation
Trustworthy Text-to-Image Diffusion Models: A Timely and Focused Survey		Trustworthy_T2I_DMs
Adversarial Attacks and Defenses on Text-to-Image Diffusion Models: A Survey	Information Fusion 2024	Awesome-AD-on-T2IDM
Replication in Visual Diffusion Models: A Survey and Outlook		Awesome-Diffusion-Replication

MISC

Paper	Venue	Repo
		Generalization-Causality
		OOD-Generalization-Paper-Reading-Notes
Open-world Machine Learning: A Review and New Outlooks
		Awesome-Novel-Class-Discovery
		Awesome-Model-Reuse
Deep Model Fusion: A Survey
Modular Deep Learning	TMLR 2023
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities		Awesome-Model-Merging-Methods-Theories-Applications
Learn From Model Beyond Fine-Tuning: A Survey	Nature Machine Intelligence 2024	Awesome-Learn-from-Model
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning	AAAI 2024	model-reprogramming
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning	TPAMI 2024	Awesome-Forgetting-in-Deep-Learning
		Awesome-Optimal-Transport-in-Deep-Learning
		awesome-mm-chat
		LLM-MLLM-paper-list
Knowledge Distillation: A Survey	IJCV 2021
A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations	TPAMI 2024	awesome-pruning
		Awesome-Dataset-Distillation
		awesome-deep-phenomena
		awesome-trustworthy-deep-learning
		awesome-uncertainty-deeplearning
A Survey on Mixup Augmentations and Beyond		Awesome-Mixup
		Advances-in-Label-Noise-Learning

Tutorials

A Tutorial Introduction to the Lambda Calculus

Topological Methods in Machine Learning: A Tutorial for Practitioners

An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning

A Tutorial on Spectral Clustering

A Tutorial on Principal Component Analysis

An Introduction to Variational Autoencoders

Tutorial on Diffusion Models for Imaging and Vision Step-by-Step Diffusion: An Elementary Tutorial

A tutorial on conformal prediction A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification