Oceania
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
Roei Herzig, Moshiko Raboh, Gal Chechik, Jonathan Berant, Amir Globerson
Neural Information Processing Systems http://nips.cc/
Image Captioning: Transforming Objects into Words
Simao Herdade, Armin Kappeler, Kofi Boakye, Joao Soares
One of the most successful algorithms uses feature vectors extracted from the region proposals obtained from anobject detector.
Chartalist: Labeled Graph Datasets for UTXO and Account-based Blockchains
However, analyzing blockchain data requires domain expertise and computational resources, which pose a significant barrier and hinder advancement in this field.
Non-metric Similarity Graphs for Maximum Inner Product Search
Stanislav Morozov, Artem Babenko
For large-scale databases the sequential scan with theO(nd) complexity is not feasible, and the efficient approximate methods arerequired.
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices
Santosh Vempala, Andre Wibisono
See Theorem 2 in Section 3.1 formoredetail.
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video
Jiawang Bian, Zhichao Li, Naiyan Wang, Huangying Zhan, Chunhua Shen, Ming-Ming Cheng, Ian Reid
Recent work has shown that CNN-based depth and ego-motion estimators can be learned using unlabelled monocular videos. However, the performance is limited by unidentified moving objects that violate the underlying static scene assumption in geometric image reconstruction.
Chefs'RandomTables: Non-TrigonometricRandom Features
We introduce chefs' random tables(CRTs), a new class of non-trigonometric random features (RFs) toapproximate Gaussian andsoftmax-kernels.
