Exploring sharpness-aware minimization (SAM): insights into label noise robustness and generalization
Recently, there has been increasing interest in improving the generalization of deep networks by regulating the sharpness of the loss ...
Recently, there has been increasing interest in improving the generalization of deep networks by regulating the sharpness of the loss ...
Existing models of vision and language exhibit strong generalization across a variety of visual domains and tasks. However, these models ...
An effective method to improve LLMs' reasoning skills is to employ supervised fine-tuning (SFT) with chain-of-thought (CoT) annotations. However, this ...
There are still important differences between our current empirical setup and the fundamental problem of aligning superhuman models. For example, ...
With the rise in popularity and use cases of artificial intelligence, imitation learning (IL) has proven to be a successful ...
The ability of a model to generalize or effectively apply learned knowledge to new contexts is essential to the continued ...
Sequential decision-making problems are undergoing a major transition due to the paradigm shift brought about by the introduction of basic ...