YujiaBao/Distributional-Signatures
"Few-shot Text Classification with Distributional Signatures" ICLR 2020
training neural networks; training dogs
"Few-shot Text Classification with Distributional Signatures" ICLR 2020
πThe Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
Post-training with Tinker
Yet Another Markdown App
The open source coding agent.
"Deriving Machine Attention from Human Rationales" EMNLP 2018
"Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021
verl: Volcano Engine Reinforcement Learning for LLMs
Measuring how well CLI agents like Claude Code or Codex CLI can post-train base LLMs on a single H100 GPU in 10 hours
Learning to Split for Automatic Bias Detection
"Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data" MLHC 2017
Sample, estimate, aggregate: A recipe for causal discovery foundation models
Code for "Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes"
"Learning Stable Classifiers by Transferring Unstable Features" ICML 2022
Channel Vision Transformers: An Image Is Worth C x 16 x 16 Words
Contextual Vision Transformers for Robust Representation Learning
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Factor graphs and loopy belief propagation implemented in Python
Lecture Notes for MA522, Fall 2017, Betsy Stovall, UW-Madison