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2. Contrastive Representation Learning: A Framework and Review

3. Proximal Policy Optimization Algorithms

4. Language Models are Unsupervised Multitask Learners

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6. SCAN: Learning to Classify Images without Labels

7. Meta Pseudo Labels

8. Announcing GPT-NeoX-20B

9. GeDi: Generative Discriminator Guided Sequence Generation

10. Deep language algorithms predict semantic comprehension from brain activity

11. Fine-Tuning Language Models from Human Preferences

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15. Learning to summarize from human feedback

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17. Wikipedia Bibliography:

    1. Reinforcement learning

    2. Latent and observable variables