Christopher De
Cornell University(US)
Publications by Year
Research Areas
Stochastic Gradient Optimization Techniques, Advanced Neural Network Applications, Privacy-Preserving Technologies in Data, Domain Adaptation and Few-Shot Learning, Parallel Computing and Optimization Techniques
Most-Cited Works
- → Data Programming: Creating Large Training Sets, Quickly(2016)359 cited
- → Incremental knowledge base construction using DeepDive(2015)235 cited
- → Soft optoelectronic sensory foams with proprioception(2018)205 cited
- → Representation Tradeoffs for Hyperbolic Embeddings(2018)188 cited
- Data Programming: Creating Large Training Sets, Quickly.(2016)
- → Improving Neural Network Quantization without Retraining using Outlier Channel Splitting(2019)150 cited
- → Understanding and Optimizing Asynchronous Low-Precision Stochastic Gradient Descent(2017)112 cited
- Representation Tradeoffs for Hyperbolic Embeddings.(2018)
- → Channel Gating Neural Networks(2018)98 cited