← Authors

Daniel L Yamins

9 papers · 2013–2020 · 1 conference · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (21) πŸŒ‰ Interdisciplinary Bridge 🌱 Topic Pioneer πŸ—ƒοΈ Keyword Collector (50) πŸ“ˆ Trend Setter

Conferences

NIPS (9)

Top co-authors

Aran Nayebi (4) Surya Ganguli (3) Daniel Bear (3) Li F Fei-Fei (3) Jonas Kubilius (3) Damian Mrowca (3) James J DiCarlo (3) Chengxu Zhuang (2) Kohitij Kar (2) Josh Tenenbaum (2)

Keywords

convolutional neural network (3) graph neural network (2) self-supervised learning (2) object recognition (2) recurrent neural network (2) neural network model (1) scene understanding (1) lottery ticket hypothesis (1) sensory processing (1) hierarchical representation (1) shape recognition (1) scene segmentation (1) computational neuroscience (1) neural population (1) intrinsic motivation (1) graph representation (1) ventral stream (1) hierarchical modular optimization (1) representation dissimilarity matrix (1) object classification (1)

Papers

Learning Physical Graph Representations from Visual Scenes NIPS 2020
Identifying Learning Rules From Neural Network Observables NIPS 2020
Pruning neural networks without any data by iteratively conserving synaptic flow NIPS 2020
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs NIPS 2019
Flexible neural representation for physics prediction NIPS 2018
Task-Driven Convolutional Recurrent Models of the Visual System NIPS 2018
Learning to Play With Intrinsically-Motivated, Self-Aware Agents NIPS 2018
Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System NIPS 2017
Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream NIPS 2013