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2020 – today
- 2023
[c22]Rosanne Liu, Dan Garrette, Chitwan Saharia, William Chan, Adam Roberts, Sharan Narang, Irina Blok, RJ Mical, Mohammad Norouzi, Noah Constant:
Character-Aware Models Improve Visual Text Rendering. ACL (1) 2023: 16270-16297- [c21]Andrija Djurisic, Nebojsa Bozanic, Arjun Ashok, Rosanne Liu:
Extremely Simple Activation Shaping for Out-of-Distribution Detection. ICLR 2023 - [e1]Krystal Maughan, Rosanne Liu, Thomas F. Burns:
The First Tiny Papers Track at ICLR 2023, Tiny Papers @ ICLR 2023, Kigali, Rwanda, May 5, 2023. OpenReview.net 2023 [contents] - [i17]C. Daniel Freeman, Laura Culp, Aaron Parisi, Maxwell L. Bileschi, Gamaleldin F. Elsayed, Alex Rizkowsky, Isabelle Simpson, Alex Alemi, Azade Nova, Ben Adlam, Bernd Bohnet, Gaurav Mishra, Hanie Sedghi, Igor Mordatch, Izzeddin Gur, Jaehoon Lee, John D. Co-Reyes, Jeffrey Pennington, Kelvin Xu, Kevin Swersky, Kshiteej Mahajan, Lechao Xiao, Rosanne Liu, Simon Kornblith, Noah Constant, Peter J. Liu, Roman Novak, Yundi Qian, Noah Fiedel, Jascha Sohl-Dickstein:
Frontier Language Models are not Robust to Adversarial Arithmetic, or "What do I need to say so you agree 2+2=5? CoRR abs/2311.07587 (2023) - 2022
- [i16]Robin Tibor Schirrmeister, Rosanne Liu, Sara Hooker, Tonio Ball:
When less is more: Simplifying inputs aids neural network understanding. CoRR abs/2201.05610 (2022) - [i15]Sarah M. Pratt, Rosanne Liu, Ali Farhadi:
What does a platypus look like? Generating customized prompts for zero-shot image classification. CoRR abs/2209.03320 (2022) - [i14]Andrija Djurisic, Nebojsa Bozanic, Arjun Ashok, Rosanne Liu:
Extremely Simple Activation Shaping for Out-of-Distribution Detection. CoRR abs/2209.09858 (2022) - [i13]Rosanne Liu, Dan Garrette, Chitwan Saharia, William Chan, Adam Roberts, Sharan Narang, Irina Blok, RJ Mical, Mohammad Norouzi, Noah Constant:
Character-Aware Models Improve Visual Text Rendering. CoRR abs/2212.10562 (2022) - 2021
- [i12]Sahib Singh, Rosanne Liu:
Why is Pruning at Initialization Immune to Reinitializing and Shuffling? CoRR abs/2107.01808 (2021) - [i11]Niel Teng Hu, Xinyu Hu, Rosanne Liu, Sara Hooker, Jason Yosinski:
When does loss-based prioritization fail? CoRR abs/2107.07741 (2021) - [i10]Genta Indra Winata, Andrea Madotto, Zhaojiang Lin, Rosanne Liu, Jason Yosinski, Pascale Fung:
Language Models are Few-shot Multilingual Learners. CoRR abs/2109.07684 (2021) - [i9]Felix Lau, Nishant Subramani, Sasha Harrison, Aerin Kim, Elliot Branson, Rosanne Liu:
Natural Adversarial Objects. CoRR abs/2111.04204 (2021) - 2020
- [c20]Sumanth Dathathri, Andrea Madotto, Janice Lan, Jane Hung, Eric Frank, Piero Molino, Jason Yosinski, Rosanne Liu:
Plug and Play Language Models: A Simple Approach to Controlled Text Generation. ICLR 2020 - [c19]Ashley D. Edwards, Himanshu Sahni, Rosanne Liu, Jane Hung, Ankit Jain, Rui Wang, Adrien Ecoffet, Thomas Miconi, Charles Isbell, Jason Yosinski:
Estimating Q(s,s') with Deep Deterministic Dynamics Gradients. ICML 2020: 2825-2835 - [c18]Mitchell Wortsman, Vivek Ramanujan, Rosanne Liu, Aniruddha Kembhavi, Mohammad Rastegari, Jason Yosinski, Ali Farhadi:
Supermasks in Superposition. NeurIPS 2020 - [i8]Ashley D. Edwards, Himanshu Sahni, Rosanne Liu, Jane Hung, Ankit Jain, Rui Wang, Adrien Ecoffet, Thomas Miconi, Charles Isbell, Jason Yosinski:
Estimating Q(s, s') with Deep Deterministic Dynamics Gradients. CoRR abs/2002.09505 (2020) - [i7]Mitchell Wortsman, Vivek Ramanujan, Rosanne Liu, Aniruddha Kembhavi, Mohammad Rastegari, Jason Yosinski, Ali Farhadi:
Supermasks in Superposition. CoRR abs/2006.14769 (2020)
2010 – 2019
- 2019
- [c17]Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Jiale Zhi, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman:
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. IJCAI 2019: 3260-3267 - [c16]Hattie Zhou, Janice Lan, Rosanne Liu, Jason Yosinski:
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask. NeurIPS 2019: 3592-3602 - [c15]Janice Lan, Rosanne Liu, Hattie Zhou, Jason Yosinski:
LCA: Loss Change Allocation for Neural Network Training. NeurIPS 2019: 3614-3624 - [i6]Hattie Zhou, Janice Lan, Rosanne Liu, Jason Yosinski:
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask. CoRR abs/1905.01067 (2019) - [i5]Janice Lan, Rosanne Liu, Hattie Zhou, Jason Yosinski:
LCA: Loss Change Allocation for Neural Network Training. CoRR abs/1909.01440 (2019) - [i4]Sumanth Dathathri, Andrea Madotto, Janice Lan, Jane Hung, Eric Frank, Piero Molino, Jason Yosinski, Rosanne Liu:
Plug and Play Language Models: A Simple Approach to Controlled Text Generation. CoRR abs/1912.02164 (2019) - 2018
- [c14]Lionel Gueguen, Alex Sergeev, Rosanne Liu, Jason Yosinski:
Faster Neural Networks Straight from JPEG. ICLR (Workshop) 2018 - [c13]Chunyuan Li, Heerad Farkhoor, Rosanne Liu, Jason Yosinski:
Measuring the Intrinsic Dimension of Objective Landscapes. ICLR (Poster) 2018 - [c12]Lionel Gueguen, Alex Sergeev, Ben Kadlec, Rosanne Liu, Jason Yosinski:
Faster Neural Networks Straight from JPEG. NeurIPS 2018: 3937-3948 - [c11]Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, Jason Yosinski:
An intriguing failing of convolutional neural networks and the CoordConv solution. NeurIPS 2018: 9628-9639 - [i3]Chunyuan Li, Heerad Farkhoor, Rosanne Liu, Jason Yosinski:
Measuring the Intrinsic Dimension of Objective Landscapes. CoRR abs/1804.08838 (2018) - [i2]Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, Jason Yosinski:
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution. CoRR abs/1807.03247 (2018) - [i1]Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman:
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. CoRR abs/1812.07069 (2018) - 2016
- [c10]Ruoqian Liu, Ankit Agrawal
, Wei-keng Liao, Alok N. Choudhary, Marc De Graef:
Materials discovery: Understanding polycrystals from large-scale electron patterns. IEEE BigData 2016: 2261-2269 - [c9]Ruoqian Liu, Diana Palsetia, Arindam Paul, Reda Al-Bahrani, Dipendra Jha, Wei-keng Liao, Ankit Agrawal, Alok N. Choudhary:
PinterNet: A thematic label curation tool for large image datasets. IEEE BigData 2016: 2353-2362 - 2015
- [c8]Chen Jin, Ruoqian Liu, Zhengzhang Chen, William Hendrix, Ankit Agrawal, Alok N. Choudhary:
A Scalable Hierarchical Clustering Algorithm Using Spark. BigDataService 2015: 418-426 - [c7]Ruoqian Liu, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary, Zhengzhang Chen:
Pruned search: A machine learning based meta-heuristic approach for constrained continuous optimization. IC3 2015: 13-18 - 2014
- [c6]Ruoqian Liu, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Enhancing Financial Decision-Making Using Social Behavior Modeling. SNAKDD 2014: 13:1-13:5 - 2012
- [c5]Ruoqian Liu, Hai Yu, Ryan McGee, Yi Lu Murphey:
Driving course prediction for vehicle handling maneuvers. ACC 2012: 2096-2101 - [c4]Ruoqian Liu, Shen Xu, Chen Fang, Yung-wen Liu, Yi Lu Murphey, Dev S. Kochhar:
Statistical modeling and signal selection in multivariate time series pattern classification. ICPR 2012: 2853-2856 - 2011
- [c3]Ruoqian Liu, Shen Xu, Jungme Park, Yi Lu Murphey, Johannes Kristinsson, Ryan McGee, Ming Kuang, Tony Phillips:
Real time vehicle speed predition using gas-kinetic traffic modeling. CIVTS 2011: 80-86 - [c2]Shen Xu, Ruoqian Liu, Dai Li, Yi Lu Murphey:
A hybrid system ensemble based time series signal classification on driver alertness detection. IJCNN 2011: 2093-2099 - 2010
- [c1]Ruoqian Liu, Yi Lu Murphey:
Time-series temporal classification using Feature Ensemble learning. IJCNN 2010: 1-5
Coauthor Index
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last updated on 2023-11-22 20:41 CET by the dblp team
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