README.md

Vision-Language-Models-ReadingList

Reading List for Vision Language Models

Preliminaries

• Transformers and Attention Mechanisms

  Main paper: Attention is all you need Video By One of the Authors: Attention is all you need; Łukasz Kaiser | Masterclass

  Attenttion Lilian Weng Blog

  Transformers Family Lilian Weng Blog

  An introduction to Transformers Prof. Turner

  Neural Machine Translation by jointly learning to align and translate (2014) precursor to transformer

  A survey of transformers (2021)

  • Hands-on Transformer Design

    • Annotated Transformer
    • Annotated transformer 2

  • LLM Reading list

  • Auto-regressive Models

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• Light and Efficient Transformers

  A practical survey on Faster and lighter Transformer (2021)

  Efficient Transformer: A survey (2020)

  LoRA: Low-Rank Adaptation of language models (2021)

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• Vision Transformers

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• Diffusion Models

  Deep Unsupervised Learning using Nonequilibrium Thermodynamics (2015)

  Scalable Diffusion Models with Transformers (2022)

  Diffusion Models: A comprehensive survey (2022)

  Diffusion models Lilian Weng Blog

  Score-Based Generative Modelling Yang Song Blog highly recommended

  Consistency models 2023 recent

  Tutorial for Diffusion for Imaging and Vision new summary!

  .....

• Contrastive Learning (self-supervised learning)

  Survey of Contrastive Learning (Sept. 2020)

  Simple Framework for Contrastive Learning (2020)

  Self-supervised learning: Generative and Contrastive (2021)

  Contrastive Learning for NLP (Full Reading list) This is an exhaustive chronicle of papers on contrastive learning maintained by Rui Zhang et al - highly recommended

• Reinforcement Learning (Plus: RL in LLMs)

  Reinforcement Learning Sutton&Barto

  Reinforcement Learning: Bit by Bit

  A survey on model-based learning (2022) Fan-Ming et al

  Model-based reinforcement Learning: A survey (2022) Thomas et al

  Deep Reinforcement Learning (2023) book draft

  Learning to summarize from human feedback (2022) main:openai

  Deep Reinforcement Learning from Human Preferences (2017) influential

  Training language models to follow human instructions

  Survey on preference-based reinforcement learning methods (2017)

  Scaling law for reward model overoptimization

  RLHF Illustrations by hugging face and references web page - check reference list at end of article

  Red Teaming LLMs Important for sanitizing llm!

  ...

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Vision-Language Models

• Vision-Language Models

  Intro to Vision-Language Modelling

  Vision-Language Pre-Training: Basics, Recent Advances, and Future Trends

  Foundations & Trends in Multimodal Machine Learning:Principles, Challenges, and Open Questions

  Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions

  VLP: A survey on Vision-Language Pre-training

  Vision-Language Pretraining: Current Trends and the Future IDAP||Deepmind

• Generalist Agents

  A generalist agent

  Scaling Agent Acrosss many Simulated Worlds (SIMA) see blog post below

  SIMA - Blog post

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Use Cases (Downstream Tasks)

(molecular/drug discovery, genomics, weather, protein structure, disaster response systems, quality control, ...)

Opportunities for use in resource-constrained environments and devices ...