Asia
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.
Efficient Convex Completion of Coupled Tensors using Coupled Nuclear Norms
Kishan Wimalawarne, Hiroshi Mamitsuka
Neural Information Processing Systems http://nips.cc/
Bayesian Structure Learning by Recursive Bootstrap
Raanan Y. Rohekar, Yaniv Gurwicz, Shami Nisimov, Guy Koren, Gal Novik
Neural Information Processing Systems http://nips.cc/
What Can ResNet Learn Efficiently, Going Beyond Kernels?
Neural Information Processing Systems http://nips.cc/
Networks are Slacking Off: Understanding Generalization Problem in Image Deraining
We call this dilemma the generalization problem.