Drew Linsley

According to our database1, Drew Linsley authored at least 25 papers between 2017 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Fixing the problems of deep neural networks will require better training data and learning algorithms.
CoRR, 2023

Neural scaling laws for phenotypic drug discovery.
CoRR, 2023

Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning.
CoRR, 2023

Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization.
CoRR, 2023

Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex.
CoRR, 2023

Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception.
CoRR, 2023

Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Understanding the Computational Demands Underlying Visual Reasoning.
Neural Comput., 2022

Harmonizing the object recognition strategies of deep neural networks with humans.
CoRR, 2022

How and What to Learn: Taxonomizing Self-Supervised Learning for 3D Action Recognition.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Harmonizing the object recognition strategies of deep neural networks with humans.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
The Challenge of Appearance-Free Object Tracking with Feedforward Neural Networks.
CoRR, 2021

Tracking Without Re-recognition in Humans and Machines.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Stable and expressive recurrent vision models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Recurrent neural circuits for contour detection.
Proceedings of the 8th International Conference on Learning Representations, 2020

Disentangling neural mechanisms for perceptual grouping.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Learning what and where to attend.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks.
CoRR, 2018

Global-and-local attention networks for visual recognition.
CoRR, 2018

Learning long-range spatial dependencies with horizontal gated-recurrent units.
CoRR, 2018

Learning long-range spatial dependencies with horizontal gated recurrent units.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning to predict action potentials end-to-end from calcium imaging data.
Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018

2017
Clicktionary: A Web-based Game for Exploring the Atoms of Object Recognition.
CoRR, 2017

What are the Visual Features Underlying Human Versus Machine Vision?
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017


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