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Semi-Supervised Learning with Declaratively Specified Entropy Constraints
Haitian Sun, William W. Cohen, Lidong Bing
Neural Information Processing Systems http://nips.cc/
Submodular Function Minimization with Noisy Evaluation Oracle
Neural Information Processing Systems http://nips.cc/
Focused Quantization for Sparse CNNs
Yiren Zhao, Xitong Gao, Daniel Bates, Robert Mullins, Cheng-Zhong Xu
Coupled with lossless encoding, we built a compression pipeline that provides CNNs with high compression ratios (CR), low computation cost and minimal loss in accuracy.
Data-Driven Clustering via Parameterized Lloyd's Families
Maria-Florina F. Balcan, Travis Dick, Colin White
Neural Information Processing Systems http://nips.cc/
ReCo: RetrieveandCo-segment forZero-shotTransfer
There isarichbody ofsemantic segmentation literature thatproposes solutions tosubsets ofthese challenges, but to our knowledge no existing work addresses their full combination.
Stein Variational Gradient Descent as Moment Matching
One of the core problems of modern statistics and machine learning is to approximate difficultto-compute probability distributions.
Reducing Noisein GANTrainingwith Variance Reduced Extragradient
W = 2for = 10 2and = 10 4, omitted architectures.