In this episode we talk about the paper "Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc Le, Geoffrey Hinton, Jeff Dean.
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In this episode we talk about the paper "Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc Le, Geoffrey Hinton, Jeff Dean.
In this episode we talk about the paper "Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc Le, Geoffrey Hinton, Jeff Dean.
In this episode we discuss the paper "Training language models to follow instructions with human feedback" by Ouyang et al (2022). We discuss the RLHF paradigm and how important RL is to tuning GPT.
We discuss Sony AI's accomplishment of creating a novel AI agent that can beat professional racers in Gran Turismo. Some topics include:- The crafting of rewards to make the agent behave nicely- What is QR-SAC?- How to deal with "rare" experiences in the replay bufferLink to paper: https://www.nature.com/articles/s41586-021-04357-7
Today we talk about recent AI advances in Poker; specifically the use of counterfactual regret minimization to solve the game of 2-player Limit Texas Hold'em.
Todays paper: Can Neural Nets Learn the Same Model Twice? Investigating Reproducibilityand Double Descent from the Decision Boundary Perspective (https://arxiv.org/pdf/2203.08124.pdf)Summary:A discussion of reproducibility and double descent through visualizations of decision boundaries.Highlights of the discussion:Relationship between model performance and reproducibilityWhich models are robust and reproducibleHow they calculate the various scores
Todays paper: VICReg (https://arxiv.org/abs/2105.04906)Summary of the paperVICReg prevents representation collapse using a mixture of variance, invariance and covariance when calculating the loss. It does not require negative samples and achieves great performance on downstream tasks.Highlights of discussionThe VICReg architecture (Figure 1)Sensitivity to hyperparameters (Table 7)Top 5 metric usefulness
Todays paper: data2vec (https://arxiv.org/abs/2202.03555)Summary of the paperA multimodal SSL algorithm that predicts latent representation of different types of input.Highlights of discussionWhat are the motivations of SSL and multimodalHow does the student teacher learning work?What are similarities and differences between ViT, BYOL, and Reinforcement Learning algorithms.
This is the first episode of Argmax! We talk about our motivations for doing a podcast, and what we hope listeners will get out of it.Todays paper: Reward is Enough Summary of the paperThe authors present the Reward is Enough hypothesis: Intelligence, and its associated abilities, can be understood as subserving the maximisation of reward by an agent acting in its environment.Highlights of discussionHigh level overview of Reinforcement LearningHow evolution can be encoded as a reward maximiza...
In this episode we talk about the paper "Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc Le, Geoffrey Hinton, Jeff Dean.
