11 citations · 18 across the 3 of their papers we have counts for
3 papers
q-bio.QM2020★ 2 cited
Transformer Based Molecule Encoding for Property Prediction
Prateeth Nayak, Andrew Silberfarb, Ran Chen +2
Neural methods of molecule property prediction require efficient encoding of structure and property relationship to be accurate. Recent work using graph algorithms shows limited ge…
cs.CV2020★ 5 cited
Zero-Shot Learning with Knowledge Enhanced Visual Semantic Embeddings
Karan Sikka, Jihua Huang, Andrew Silberfarb +6
We improve zero-shot learning (ZSL) by incorporating common-sense knowledge in DNNs. We propose Common-Sense based Neuro-Symbolic Loss (CSNL) that formulates prior knowledge as nov…
cs.CV2019★ 11 cited
Bit Efficient Quantization for Deep Neural Networks
Prateeth Nayak, David Zhang, Sek Chai
Quantization for deep neural networks have afforded models for edge devices that use less on-board memory and enable efficient low-power inference. In this paper, we present a comp…