empirical success
Empirical success refers to the achievement of positive results or performance metrics in practical applications of AI models or algorithms as demonstrated in real-world scenarios or experiments.
- A Unified Stability Analysis of SAM vs SGD: Role of Data Coherence and Emergence of Simplicity Bias
- Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees
- Joint‑Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self‑Supervised Learning
- Provable Sample-Efficient Transfer Learning Conditional Diffusion Models via Representation Learning
- Train to Defend: First Defense Against Cryptanalytic Neural Network Parameter Extraction Attacks
- Understanding Adam Requires Better Rotation Dependent Assumptions
- Understanding the Gain from Data Filtering in Multimodal Contrastive Learning