p-lambda/composed_finetuning p-lambda/composed_finetuning

  • Stars
    star
    5
  • Rank 2,846,703 (Top 57 %)
  • Language
    Python
  • License
    MIT License
  • Created almost 4 years ago
  • Updated over 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
p-lambda/composed_finetuning
github

p-lambda

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Code for the ICML 2021 paper "Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization" by Sang Michael Xie, Tengyu Ma, Percy Liang

More Repositories

1

wilds

A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
Python
545
star
2

dsir

DSIR large-scale data selection framework for language model training
Python
199
star
3

jukemir

Perform transfer learning for MIR using Jukebox!
Shell
171
star
4

verified_calibration

Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlight).
Python
137
star
5

incontext-learning

Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"
Python
93
star
6

gradual_domain_adaptation

Python
35
star
7

swords

The Stanford Word Substitution (Swords) Benchmark
Python
31
star
8

in-n-out

Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"
Python
12
star
9

robust_tradeoff

Code for the ICML 2020 paper "Understanding and Mitigating the Tradeoff Between Robustness and Accuracy", Aditi Raghunathan, Sang Michael Xie, Fanny Yang, John Duchi, and Percy Liang. Paper available at https://arxiv.org/pdf/2002.10716.pdf.
Python
8
star