Statistical Learning
Quadrature-based features for kernel approximation
Marina Munkhoeva, Yermek Kapushev, Evgeny Burnaev, Ivan Oseledets
Neural Information Processing Systems http://nips.cc/
A Simple Cache Model for Image Recognition
Neural Information Processing Systems http://nips.cc/
Hunting for Discriminatory Proxies in Linear Regression Models
Samuel Yeom, Anupam Datta, Matt Fredrikson
Neural Information Processing Systems http://nips.cc/
GUST: Combinatorial Generalization by Unsupervised Grouping with Neuronal Coherence
Then we could generally binarize the reduced feature map before fed into the GUST.
Self-supervised Object-Centric Learning for Videos Gรถrkay Aydemir
From these temporally-aware slots, the training objective is to reconstruct the middle frame in a high-level semantic feature space. We propose a masking strategy by dropping a significant portion of tokens in the feature space for efficiency and regularization. Additionally, we address over-clustering by merging slots based on similarity.
Multi-domain Causal Structure Learning in Linear Systems
AmirEmad Ghassami, Negar Kiyavash, Biwei Huang, Kun Zhang
Neural Information Processing Systems http://nips.cc/
