an archive of posts from this year

May 7, 2024 What exactly has TabPFN learned to do?
May 7, 2024 Fair Model-Based Reinforcement Learning Comparisons with Explicit and Consistent Update Frequency
May 7, 2024 Unraveling The Impact of Training Samples
May 7, 2024 Understanding in-context learning in transformers
May 7, 2024 Understanding gradient inversion attacks from the prior knowledge perspective
May 7, 2024 The N Implementation Details of RLHF with PPO
May 7, 2024 Towards Robust Foundation Models: Adversarial Contrastive Learning
May 7, 2024 RLHF without RL - Direct Preference Optimization
May 7, 2024 It's Time to Move On: Primacy Bias and Why It Helps to Forget
May 7, 2024 Behavioral Differences in Mode-Switching Exploration for Reinforcement Learning
May 7, 2024 A New Alchemy: Language Model Development as a Subfield?
May 7, 2024 The Hidden Convex Optimization Landscape of Two-Layer ReLU Networks
May 7, 2024 Fairness in AI: two philosophies or just one?
May 7, 2024 Exploring Meta-learned Curiosity Algorithms
May 7, 2024 Elaborating on the Value of Flow Matching for Density Estimation
May 7, 2024 Bridging the Data Processing Inequality and Function-Space Variational Inference
May 7, 2024 Double Descent Demystified
May 7, 2024 Sample Blog Post (HTML version)
May 7, 2024 Sample Blog Post
May 7, 2024 Building Diffusion Model's theory from ground up
May 7, 2024 Deep Equilibrium Models For Algorithmic Reasoning
May 7, 2024 On Bayesian Model Selection: The Marginal Likelihood, Cross-Validation, and Conditional Log Marginal Likelihood
May 7, 2024 How to compute Hessian-vector products?
May 7, 2024 Masked Language Model with ALiBi and CLAP head