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Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings
BrettD.Roads, BradleyC.Love....
Published date-11/22/2020
BayesianInference, ObjectRecognition
Advances in object recognition flourished in part because of the availability of high-quality datasets and associated benchmarks. However, these benchmarks---such as ILSVRC---are relatively task-specific, focusing predominately on predicting class labels. …
Stacked Graph Filter
HoangNT, TakanoriMaehara, TsuyoshiMurata....
Published date-11/22/2020
We study Graph Convolutional Networks (GCN) from the graph signal processing viewpoint by addressing a difference between learning graph filters with fully connected weights versus trainable polynomial coefficients. We find …
A Homotopy-based Algorithm for Sparse Multiple Right-hand Sides Nonnegative Least Squares
NicolasNadisic, ArnaudVandaele, NicolasGillis....
Published date-11/22/2020
Nonnegative least squares (NNLS) problems arise in models that rely on additive linear combinations. In particular, they are at the core of nonnegative matrix factorization (NMF) algorithms. The nonnegativity constraint …
Explaining by Removing: A Unified Framework for Model Explanation
IanCovert, ScottLundberg, Su-InLee....
Published date-11/21/2020
Researchers have proposed a wide variety of model explanation approaches, but it remains unclear how most methods are related or when one method is preferable to another. We establish a …
Sensing Ambiguity in Henry James' "The Turn of the Screw"
VictorMakarenkov, YaelSegalovitz....
Published date-11/21/2020
WordEmbeddings
Fields such as the philosophy of language, continental philosophy, and literary studies have long established that human language is, at its essence, ambiguous and that this quality, although challenging to …
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations
Hao-ZheFeng, KezhiKong, MinghaoChen....
Published date-11/21/2020
Semi-SupervisedImageClassification, VariationalInference
Semi-supervised variational autoencoders (VAEs) have obtained strong results, but have also encountered the challenge that good ELBO values do not always imply accurate inference results. In this paper, we investigate …