What Can Transformers Learn In-Context? A Case Study of Simple Function Classes
What exactly has TabPFN learned to do?
Attention Is All You Need
PFNs: Transformers Can Do Bayesian Inference
OpenML Benchmarking Suites
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
‘dynamic evaluation (NN)’ directory