Aditya Rawal

According to our database, Aditya Rawal authored at least 21 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DEM: Distribution Edited Model for Training with Mixed Data Distributions.

Dhananjay Ram, Aditya Rawal, Momchil Hardalov, Nikolaos Pappas, Sheng Zha

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Extreme Miscalibration and the Illusion of Adversarial Robustness.

Vyas Raina, Samson Tan, Volkan Cevher, Aditya Rawal, Sheng Zha, George Karypis

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2022

Memory Efficient Continual Learning with Transformers.

Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cédric Archambeau

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Continual Learning with Transformers for Image Classification.

Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cédric Archambeau

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2020

Discovering Gated Recurrent Neural Network Architectures.

Aditya Rawal, Jason Zhi Liang, Risto Miikkulainen

Proceedings of the Deep Neural Evolution - Deep Learning with Evolutionary Computation, 2020

Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search.

Aditya Rawal, Joel Lehman, Felipe Petroski Such, Jeff Clune, Kenneth O. Stanley

CoRR, 2020

Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data.

Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth O. Stanley, Jeffrey Clune

Proceedings of the 37th International Conference on Machine Learning, 2020

Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions.

Rui Wang, Joel Lehman, Aditya Rawal, Jiale Zhi, Yulun Li, Jeffrey Clune, Kenneth O. Stanley

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

First-Order Preconditioning via Hypergradient Descent.

Ted Moskovitz, Rui Wang, Janice Lan, Sanyam Kapoor, Thomas Miconi, Jason Yosinski, Aditya Rawal

CoRR, 2019

Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity.

Thomas Miconi, Aditya Rawal, Jeff Clune, Kenneth O. Stanley

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

From Nodes to Networks: Evolving Recurrent Neural Networks.

Aditya Rawal, Risto Miikkulainen

CoRR, 2018

2017

Evolving Deep Neural Networks.

Risto Miikkulainen, Jason Zhi Liang, Elliot Meyerson, Aditya Rawal, Daniel Fink, Olivier Francon, Bala Raju, Hormoz Shahrzad, Arshak Navruzyan, Nigel Duffy, Babak Hodjat

CoRR, 2017

2016

Evolving Deep LSTM-based Memory Networks using an Information Maximization Objective.

Aditya Rawal, Risto Miikkulainen

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2014

General intelligence through prolonged evolution of densely connected neural networks.

Padmini Rajagopalan, Aditya Rawal, Kay E. Holekamp, Risto Miikkulainen

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Evolution of Communication in Mate Selection.

Aditya Rawal, Janette Boughman, Risto Miikkulainen

Proceedings of the Fourteenth International Conference on the Simulation and Synthesis of Living Systems, 2014

2013

Using Both Latent and Supervised Shared Topics for Multitask Learning.

Ayan Acharya, Aditya Rawal, Raymond J. Mooney, Eduardo R. Hruschka

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2012

Multiagent Learning through Neuroevolution.

Risto Miikkulainen, Eliana Feasley, Leif M. Johnson, Igor Karpov, Padmini Rajagopalan, Aditya Rawal, Wesley Tansey

Proceedings of the Advances in Computational Intelligence, 2012

Evolution of a Communication Code in Cooperative Tasks.

Aditya Rawal, Padmini Rajagopalan, Risto Miikkulainen, Kay E. Holekamp

Proceedings of the Thirteenth International Conference on the Simulation and Synthesis of Living Systems, 2012

2011

The role of reward structure, coordination mechanism and net return in the evolution of cooperation.

Padmini Rajagopalan, Aditya Rawal, Risto Miikkulainen, Marc A. Wiseman, Kay E. Holekamp

Proceedings of the 2011 IEEE Conference on Computational Intelligence and Games, 2011

2010

Emergence of competitive and cooperative behavior using coevolution.

Padmini Rajagopalan, Aditya Rawal, Risto Miikkulainen

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Constructing competitive and cooperative agent behavior using coevolution.

Aditya Rawal, Padmini Rajagopalan, Risto Miikkulainen

Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, 2010