引用次数
引用: 5,616
H-指数: 22
I10-指数 : 28
出版物: 49
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
Piero Molino , Joel Lehman , Jason Yosinski , Felipe Petroski Such
arXiv: Computer Vision and Pattern Recognition
667
2018
Faster Neural Networks Straight from JPEG
Jason Yosinski , Lionel Gueguen , Rosanne Liu , Alex Sergeev
neural information processing systems 31 3933 -3944
65
2018
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents
Jeff Clune , Joel Lehman , Marc G. Bellemare , Pablo Samuel Castro
arXiv: Neural and Evolutionary Computing
51
2018
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
Jason Yosinski , Rosanne Liu , Hattie Zhou , Janice Lan
arXiv: Learning
297
2019
Measuring the Intrinsic Dimension of Objective Landscapes.
Jason Yosinski , Chunyuan Li , Heerad Farkhoor , Rosanne Liu
international conference on learning representations
211
2018
LCA: Loss Change Allocation for Neural Network Training
Jason Yosinski , Rosanne Liu , Hattie Zhou , Janice Lan
neural information processing systems 32 3619 -3629
10
2019
Plug and Play Language Models: A Simple Approach to Controlled Text Generation
Piero Molino , Jason Yosinski , Jane Hung , Andrea Madotto
international conference on learning representations
444
2019
Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
Thomas Miconi , Charles Isbell , Himanshu Sahni , Ankit Jain
arXiv: Learning
13
2020
Supermasks in Superposition
Ali Farhadi , Mohammad Rastegari , Aniruddha Kembhavi , Jason Yosinski
neural information processing systems 33 15173 -15184
135
2020
Language models are few-shot multilingual learners
Genta Indra Winata , Andrea Madotto , Zhaojiang Lin , Rosanne Liu
arXiv preprint arXiv:2109.07684
35
2021
Character-aware models improve visual text rendering
Rosanne Liu , Dan Garrette , Chitwan Saharia , William Chan
arXiv preprint arXiv:2212.10562
1
2022
When less is more: Simplifying inputs aids neural network understanding
Robin Tibor Schirrmeister , Rosanne Liu , Sara Hooker , Tonio Ball
arXiv preprint arXiv:2201.05610
5
2022
Beyond human data: Scaling self-training for problem-solving with language models
Avi Singh , John D Co-Reyes , Rishabh Agarwal , Ankesh Anand
arXiv preprint arXiv:2312.06585
29
2023
Frontier Language Models are not Robust to Adversarial Arithmetic, or" What do I need to say so you agree 2+ 2= 5?
C Daniel Freeman , Laura Culp , Aaron Parisi , Maxwell L Bileschi
arXiv preprint arXiv:2311.07587
2023
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava , Abhinav Rastogi , Abhishek Rao , Abu Awal Md Shoeb
arXiv preprint arXiv:2206.04615
83
2022
Long-Span Question-Answering: Automatic Question Generation and QA-System Ranking via Side-by-Side Evaluation
Bernd Bohnet , Kevin Swersky , Rosanne Liu , Pranjal Awasthi
arXiv preprint arXiv:2406.00179
2024
What does a platypus look like? generating customized prompts for zero-shot image classification
Sarah Pratt , Ian Covert , Rosanne Liu , Ali Farhadi
Proceedings of the IEEE/CVF International Conference on Computer Vision 15691 -15701
125
2023
Natural adversarial objects
Felix Lau , Nishant Subramani , Sasha Harrison , Aerin Kim
arXiv preprint arXiv:2111.04204
6
2021
Extremely simple activation shaping for out-of-distribution detection
Andrija Djurisic , Nebojsa Bozanic , Arjun Ashok , Rosanne Liu
arXiv preprint arXiv:2209.09858
74
2022
Exploring unfairness in integrated gradients based attribution methods
David Drakard , Rosanne Liu , Jason Yosinski
2
2021