Rosanne Liu

According to our database1, Rosanne Liu authored at least 32 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models.
CoRR, 2023

Frontier Language Models are not Robust to Adversarial Arithmetic, or "What do I need to say so you agree 2+2=5?
CoRR, 2023

Extremely Simple Activation Shaping for Out-of-Distribution Detection.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

What does a platypus look like? Generating customized prompts for zero-shot image classification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Character-Aware Models Improve Visual Text Rendering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
What does a platypus look like? Generating customized prompts for zero-shot image classification.
CoRR, 2022

When less is more: Simplifying inputs aids neural network understanding.
CoRR, 2022

2021
Natural Adversarial Objects.
CoRR, 2021

Language Models are Few-shot Multilingual Learners.
CoRR, 2021

When does loss-based prioritization fail?
CoRR, 2021

Why is Pruning at Initialization Immune to Reinitializing and Shuffling?
CoRR, 2021

2020
Supermasks in Superposition.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Estimating Q(s,s') with Deep Deterministic Dynamics Gradients.
Proceedings of the 37th International Conference on Machine Learning, 2020

Plug and Play Language Models: A Simple Approach to Controlled Text Generation.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

LCA: Loss Change Allocation for Neural Network Training.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents.
CoRR, 2018

An intriguing failing of convolutional neural networks and the CoordConv solution.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Faster Neural Networks Straight from JPEG.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Measuring the Intrinsic Dimension of Objective Landscapes.
Proceedings of the 6th International Conference on Learning Representations, 2018

Faster Neural Networks Straight from JPEG.
Proceedings of the 6th International Conference on Learning Representations, 2018

2016
PinterNet: A thematic label curation tool for large image datasets.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Materials discovery: Understanding polycrystals from large-scale electron patterns.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Pruned search: A machine learning based meta-heuristic approach for constrained continuous optimization.
Proceedings of the Eighth International Conference on Contemporary Computing, 2015

A Scalable Hierarchical Clustering Algorithm Using Spark.
Proceedings of the First IEEE International Conference on Big Data Computing Service and Applications, 2015

2014
Enhancing Financial Decision-Making Using Social Behavior Modeling.
Proceedings of the 8th Workshop on Social Network Mining and Analysis, 2014

2012
Statistical modeling and signal selection in multivariate time series pattern classification.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Driving course prediction for vehicle handling maneuvers.
Proceedings of the American Control Conference, 2012

2011
A hybrid system ensemble based time series signal classification on driver alertness detection.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Real time vehicle speed predition using gas-kinetic traffic modeling.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, 2011

2010
Time-series temporal classification using Feature Ensemble learning.
Proceedings of the International Joint Conference on Neural Networks, 2010


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