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Christopher De

Cornell University · US
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Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research interests include Stochastic Gradient Optimization Techniques, Advanced Neural Network Applications, Topic Modeling, and Parallel Computing and Optimization Techniques.
h-index
30
citations
3,627
works
150
NIH funding
primary concept
email

Recent publications

Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
International Conference on Machine Learning 2019cited by 90position: middle
Channel Gating Neural Networks
Neural Information Processing Systems 2019cited by 62position: middle
A Kernel Theory of Modern Data Augmentation.
PubMed 2019cited by 49position: middle
Soft optoelectronic sensory foams with proprioception
Science Robotics 2018cited by 205position: middledoi
Representation Tradeoffs for Hyperbolic Embeddings.
PubMed 2018cited by 99position: first

Grants

No grants ingested yet.

Frequent collaborators

· 2 papers (2018–2019)Albert Gu · Carnegie Mellon University2 papers (2018–2019)Zhiru Zhang · Cornell University2 papers (2019–2019)Ilse M. Van Meerbeek · Lawrence Livermore National Laboratory1 papers (2018–2018)Robert F. Shepherd · Cornell University1 papers (2018–2018) · 1 papers (2019–2019)Jordan Dotzel · Cornell University1 papers (2019–2019) · 1 papers (2019–2019)Yuwei Hu · Nanjing University of Posts and Telecommunications1 papers (2019–2019)G. Edward Suh · Nvidia (United Kingdom)1 papers (2019–2019)Weizhe Hua · Cornell University1 papers (2019–2019)Ritchie Zhao · Nvidia (United States)1 papers (2019–2019)
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