Projects listed here have at least one author with "ML Collective" as their affiliation.
Estimating Example Difficulty Using Variance of Gradients
Chirag Agarwal, Daniel D'souza, Sara Hooker
Published at CVPR 2022
arXiv (pdf) | blog | code
NeuralArTS: Structuring Neural Architecture Search with Type Theory (Student Abstract)
Robert Wu, Nayan Saxena , Rohan Jain
Published at AAAI 2022
arXiv (pdf) | code
Towards One Shot Search Space Poisoning in Neural Architecture Search (Student Abstract)
Nayan Saxena, Robert Wu , Rohan Jain
Sign-to-Speech Model for Sign Language Understanding: A Case Study of Nigerian Sign Language
Steven Kolawole, Opeyemi Osakuade, Nayan Saxena, Babatunde K. Olorisade
Published at ML4D Workshop, NeurIPS 2021
arXiv (pdf) | video
Language Models are Few-shot Multilingual Learners
Genta Indra Winata, Andrea Madotto, Zhaojiang Lin, Rosanne Liu, Jason Yosinski, Pascale Fung
Published at MRL Workshop, EMNLP 2021
arXiv (pdf) | code | video
Deep Synoptic Monte Carlo Planning in Reconnaissance Blind Chess
Gregory Clark
Published at NeurIPS 2021
arXiv (pdf)
A Tale Of Two Long Tails
Daniel D'souza, Zach Nussbaum, Chirag Agarwal, Sara Hooker
Published at UDL Workshop, ICML 2021
When does loss-based prioritization fail?
Niel Teng Hu, Xinyu Hu, Rosanne Liu, Sara Hooker, Jason Yosinski
Published at SubSetML Workshop, ICML 2021
Multi-layer Hebbian networks with modern deep learning frameworks
Thomas Miconi
Scaling Down Deep Learning
Sam Greydanus
Supermasks in Superposition
Mitchell Wortsman, Vivek Ramanujan, Rosanne Liu, Aniruddha Kembhavi, Mohammad Rastegari, Jason Yosinski, Ali Farhadi
Published at NeurIPS 2020
Estimating Q(s,s’) with Deep Deterministic Dynamics Gradients
Ashley D. Edwards, Himanshu Sahni, Rosanne Liu, Jane Hung, Ankit Jain, Rui Wang, Adrien Ecoffet, Thomas Miconi, Charles Isbell, Jason Yosinski
Published at ICML 2020
Plug and Play Language Models: a Simple Approach to Controlled Text Generation
Sumanth Dathathri, Andrea Madotto, Janice Lan, Jane Hung, Eric Frank, Piero Molino, Jason Yosinski, Rosanne Liu
Published at ICLR 2020
arXiv (pdf) | blog | code | video
LCA: Loss Change Allocation for Neural Network Training
Janice Lan, Rosanne Liu, Hattie Zhou, Jason Yosinski
Published at NeurIPS 2019
Hamiltonian Neural Networks
Sam Greydanus, Misko Dzamba, and Jason Yosinski
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
Hattie Zhou, Janice Lan, Rosanne Liu, Jason Yosinski
Metropolis-Hastings Generative Adversarial Networks
Ryan Turner, Jane Hung, Eric Frank, Yunus Saatci, and Jason Yosinski
Published at ICML 2019
Faster Neural Networks Straight from JPEG
Lionel Gueguen, Alex Sergeev, Ben Kadlec, Rosanne Liu, Jason Yosinski
Published at NeurIPS 2018
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, Jason Yosinski
Measuring the intrinsic dimension of objective landscapes
Chunyuan Li, Heerad Farkhoor, Rosanne Liu, Jason Yosinski
Published at ICLR 2018