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Semantic ScholarDan Yamins
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2010 – today
- 2019
[i13]Chengxu Zhuang, Alex Lin Zhai, Daniel Yamins:
Local Aggregation for Unsupervised Learning of Visual Embeddings. CoRR abs/1903.12355 (2019)- [i12]Chengxu Zhuang, Xuehao Ding, Divyanshu Murli, Daniel Yamins:
Local Label Propagation for Large-Scale Semi-Supervised Learning. CoRR abs/1905.11581 (2019) - [i11]Chengxu Zhuang, Alex Andonian, Daniel Yamins:
Unsupervised Learning from Video with Deep Neural Embeddings. CoRR abs/1905.11954 (2019) - [i10]Jonas Kubilius, Martin Schrimpf, Ha Hong, Najib J. Majaj, Rishi Rajalingham, Elias B. Issa, Kohitij Kar, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Aran Nayebi, Daniel Bear, Daniel L. K. Yamins, James J. DiCarlo:
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs. CoRR abs/1909.06161 (2019) - 2018
- [j3]Judith E. Fan, Daniel L. K. Yamins, Nicholas B. Turk-Browne:
Common Object Representations for Visual Production and Recognition. Cognitive Science 42(8): 2670-2698 (2018) - [c18]Nick Haber, Damian Mrowca, Li Fei-Fei, Daniel L. K. Yamins:
Emergence of Structured Behaviors from Curiosity-Based Intrinsic Motivation. CogSci 2018 - [c17]Kevin T. Feigelis, Blue Sheffer, Daniel L. K. Yamins:
Modular Continual Learning in a Unified Visual Environment. ICLR (Poster) 2018 - [c16]Aran Nayebi, Daniel Bear, Jonas Kubilius, Kohitij Kar, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. Yamins:
Task-Driven Convolutional Recurrent Models of the Visual System. NeurIPS 2018: 5295-5306 - [c15]Nick Haber, Damian Mrowca, Stephanie Wang, Fei-Fei Li, Daniel L. Yamins:
Learning to Play With Intrinsically-Motivated, Self-Aware Agents. NeurIPS 2018: 8398-8409 - [c14]Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Fei-Fei Li, Josh Tenenbaum, Daniel L. Yamins:
Flexible neural representation for physics prediction. NeurIPS 2018: 8813-8824 - [i9]Nick Haber, Damian Mrowca, Li Fei-Fei, Daniel L. K. Yamins:
Learning to Play with Intrinsically-Motivated Self-Aware Agents. CoRR abs/1802.07442 (2018) - [i8]Nick Haber, Damian Mrowca, Li Fei-Fei, Daniel L. K. Yamins:
Emergence of Structured Behaviors from Curiosity-Based Intrinsic Motivation. CoRR abs/1802.07461 (2018) - [i7]Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li Fei-Fei, Joshua B. Tenenbaum, Daniel L. K. Yamins:
Flexible Neural Representation for Physics Prediction. CoRR abs/1806.08047 (2018) - [i6]Aran Nayebi, Daniel Bear, Jonas Kubilius, Kohitij Kar, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. K. Yamins:
Task-Driven Convolutional Recurrent Models of the Visual System. CoRR abs/1807.00053 (2018) - 2017
- [j2]Chengxu Zhuang, Yulong Wang, Daniel Yamins, Xiaolin Hu:
Deep Learning Predicts Correlation between a Functional Signature of Higher Visual Areas and Sparse Firing of Neurons. Front. Comput. Neurosci. 2017 (2017) - [c13]Chengxu Zhuang, Jonas Kubilius, Mitra J. Z. Hartmann, Daniel L. Yamins:
Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System. NIPS 2017: 2555-2565 - [i5]Kevin T. Feigelis, Daniel L. K. Yamins:
A Useful Motif for Flexible Task Learning in an Embodied Two-Dimensional Visual Environment. CoRR abs/1706.07147 (2017) - [i4]Chengxu Zhuang, Jonas Kubilius, Mitra J. Z. Hartmann, Daniel Yamins:
Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System. CoRR abs/1706.07555 (2017) - [i3]Kevin T. Feigelis, Blue Sheffer, Daniel L. K. Yamins:
Modular Continual Learning in a Unified Visual Environment. CoRR abs/1711.07425 (2017) - 2015
- [c12]Judith E. Fan, Daniel Yamins, Nicholas B. Turk-Browne:
Common object representations for visual recognition and production. CogSci 2015 - 2014
- [j1]Charles F. Cadieu, Ha Hong, Daniel Yamins, Nicolas Pinto, Diego Ardila, Ethan A. Solomon, Najib J. Majaj, James J. DiCarlo:
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition. PLoS Computational Biology 10(12) (2014) - [c11]Judith E. Fan, Daniel Yamins, James J. DiCarlo, Nicholas B. Turk-Browne:
Mapping core similarity among visual objects across image modalities. SIGGRAPH Posters 2014: 67:1 - [i2]Charles F. Cadieu, Ha Hong, Daniel Yamins, Nicolas Pinto, Diego Ardila, Ethan A. Solomon, Najib J. Majaj, James J. DiCarlo:
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition. CoRR abs/1406.3284 (2014) - 2013
- [c10]James Bergstra, Daniel Yamins, David D. Cox:
Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures. ICML (1) 2013: 115-123 - [c9]Daniel Yamins, Ha Hong, Charles F. Cadieu, James J. DiCarlo:
Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream. NIPS 2013: 3093-3101 - [c8]Charles F. Cadieu, Ha Hong, Dan Yamins, Nicolas Pinto, Najib J. Majaj, James J. DiCarlo:
The Neural Representation Benchmark and its Evaluation on Brain and Machine. ICLR 2013 - 2012
- [i1]James Bergstra, Dan Yamins, David D. Cox:
Making a Science of Model Search. CoRR abs/1209.5111 (2012) - 2010
- [c7]Elaine Angelino, Daniel Yamins, Margo I. Seltzer:
StarFlow: A Script-Centric Data Analysis Environment. IPAW 2010: 236-250
2000 – 2009
- 2008
- [c6]Daniel Yamins, Radhika Nagpal:
Automated global-to-local programming in 1-D spatial multi-agent systems. AAMAS (2) 2008: 615-622 - [c5]Radhika Nagpal, Chih-Han Yu, Daniel Yamins:
Engineering self-organizing multi-agent systems. AAMAS (Demos) 2008: 1717 - 2007
- [e1]Sven Brueckner, Salima Hassas, Márk Jelasity, Daniel Yamins:
Engineering Self-Organising Systems, 4th International Workshop, ESOA 2006, Hakodate, Japan, May 9, 2006, Revised and Invited Papers. Lecture Notes in Computer Science 4335, Springer 2007, ISBN 978-3-540-69867-8 [contents] - 2006
- [c4]Daniel Yamins:
The emergence of global properties from local interactions: static properties and one-dimensional patterns. AAMAS 2006: 1122-1124 - 2005
- [c3]Daniel Yamins:
Towards a theory of "local to global" in distributed multi-agent systems (I). AAMAS 2005: 183-190 - [c2]Daniel Yamins:
Towards a theory of "local to global" in distributed multi-agent systems (II). AAMAS 2005: 191-198 - [c1]James McLurkin, Daniel Yamins:
Dynamic Task Assignment in Robot Swarms. Robotics: Science and Systems 2005: 129-136
Coauthor Index
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