Ed Chow

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All published works

Action	Title	Year	Authors
+	DEEP ADAPTIVE SEMANTIC LOGIC (DASL): COMPILING DECLARATIVE KNOWLEDGE INTO DEEP NEURAL NETWORKS	2021	Karan Sikka Andrew Silberfarb John Byrnes Indranil Sur Ed Chow Ajay Divakaran Richard Rohwer
+	Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge into Deep Neural Networks	2020	Karan Sikka Andrew Silberfarb John Byrnes Indranil Sur Ed Chow Ajay Divakaran Richard Rohwer

Common Coauthors

Coauthor	Papers Together
Ajay Divakaran	2
Indranil Sur	2
Andrew Silberfarb	2
Karan Sikka	2
John Byrnes	2
Richard Rohwer	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Probability theory : the logic of science	2003	E. T. Jaynes	1
+	A shorter model theory	1997	Wilfrid Hodges	1
+ PDF Chat	Conditional Random Fields as Recurrent Neural Networks	2015	Shuai Zheng Sadeep Jayasumana Bernardino Romera‐Paredes Vibhav Vineet Zhizhong Su Dalong Du Chang Huang Philip H. S. Torr	1
+	Harnessing Deep Neural Networks with Logic Rules	2016	Zhiting Hu Xuezhe Ma Zhengzhong Liu Eduard Hovy Eric P. Xing	1
+	Logic Tensor Networks: Deep Learning and Logical Reasoning from Data and Knowledge	2016	Luciano Serafini Artur S. d’Avila Garcez	1
+ PDF Chat	Visual Relationship Detection with Language Priors	2016	Cewu Lu Ranjay Krishna Michael S. Bernstein Li Fei-Fei	1
+	End-to-End Differentiable Proving	2017	Tim Rocktäschel Sebastian Riedel	1
+	TensorLog: Deep Learning Meets Probabilistic DBs.	2017	William W. Cohen Fan Yang Kathryn Mazaitis	1
+	Deep Learning: A Critical Appraisal	2018	Gary Marcus	1
+	Relational inductive biases, deep learning, and graph networks	2018	Peter Battaglia Jessica B. Hamrick Victor Bapst Álvaro Sánchez‐González Vinícius Zambaldi Mateusz Malinowski Andrea Tacchetti David Raposo Adam Santoro Ryan Faulkner	1
+ PDF Chat	Augmenting Neural Networks with First-order Logic	2019	Tao Li Vivek Srikumar	1
+	Structured Attention Networks	2017	Yoon Kim Carl Denton Luong Hoang Alexander M. Rush	1
+	Distributed Representations of Words and Phrases and their Compositionality	2013	Tomáš Mikolov Ilya Sutskever Kai Chen Greg S. Corrado Jay B. Dean	1
+	Neural Theorem Provers Do Not Learn Rules Without Exploration	2019	Michiel de Jong Fei Sha	1
+ PDF Chat	Visual Relationship Detection with Internal and External Linguistic Knowledge Distillation	2017	Ruichi Yu Ang Li Vlad I. Morariu Larry S. Davis	1
+ PDF Chat	Label-Free Supervision of Neural Networks with Physics and Domain Knowledge	2017	Russell J. Stewart Stefano Ermon	1
+	Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding	2018	Kexin Yi Jiajun Wu Chuang Gan Antonio Torralba Pushmeet Kohli Joshua B. Tenenbaum	1
+	Differentiable Learning of Logical Rules for Knowledge Base Reasoning	2017	Fan Yang Zhilin Yang William W. Cohen	1
+ PDF Chat	Backpropagating through Structured Argmax using a SPIGOT	2018	Hao Peng Sam Thomson Noah A. Smith	1
+	Semantically-Regularized Logic Graph Embeddings	2019	Yaqi Xie Ziwei Xu Kuldeep S. Meel Mohan Kankanhalli Harold Soh	1
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	1