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Engineering Paper Reviews
AI-generated reviews of key Engineering papers, structured into motivation, method, and results.
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9999+ results
Information-theoretic lower bounds on the oracle complexity of convex optimization
Alekh Agarwal, Martin J. Wainwright, +2
arXiv (Cornell University)
|
2009
|
81 citations
MASC: Multi-scale Affinity with Sparse Convolution for 3D Instance Segmentation
Chen Liu, Yasutaka Furukawa
arXiv (Cornell University)
|
2019
|
81 citations
Noisy Sparse Subspace Clustering
Yu-Xiang Wang, Huan Xu
arXiv (Cornell University)
|
2013
|
81 citations
PointRNN: Point Recurrent Neural Network for Moving Point Cloud Processing
Hehe Fan, Yi Yang
arXiv (Cornell University)
|
2019
|
81 citations
Stable recovery of low-dimensional cones in Hilbert spaces: One RIP to rule them all
Yann Traonmilin, Rémi Gribonval
arXiv (Cornell University)
|
2015
|
81 citations
Dissecting the Graphcore IPU Architecture via Microbenchmarking
Zhe Jia, Blake Tillman, +2
arXiv (Cornell University)
|
2019
|
80 citations
Learning to Reconstruct Shapes from Unseen Classes
Xiuming Zhang, Zhoutong Zhang, +4
arXiv (Cornell University)
|
2018
|
80 citations
Learning visual groups from co-occurrences in space and time
Phillip Isola, Daniel Zoran, +2
arXiv (Cornell University)
|
2015
|
80 citations
On Improving Deep Reinforcement Learning for POMDPs
Pengfei Zhu, Xin Li, +2
arXiv (Cornell University)
|
2017
|
80 citations
Recurrent Independent Mechanisms
Anirudh Goyal, Alex Lamb, +5
arXiv (Cornell University)
|
2019
|
80 citations
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