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08/28/2023
Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond
Visual similarities discovery (VSD) is an important task with broad e-co...
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06/28/2023
Representation Learning via Variational Bayesian Networks
We present Variational Bayesian Network (VBN) - a novel Bayesian entity ...
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04/23/2022
Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps
Transformer-based language models significantly advanced the state-of-th...
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12/12/2021
Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates
A major challenge in collaborative filtering methods is how to produce r...
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10/12/2021
Single Independent Component Recovery and Applications
Latent variable discovery is a central problem in data analysis with a b...
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09/02/2021
GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps
We present Gradient Activation Maps (GAM) - a machinery for explaining p...
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09/25/2020
RecoBERT: A Catalog Language Model for Text-Based Recommendations
Language models that utilize extensive self-supervised pre-training from...
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09/17/2020
Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing
In this paper, we consider data acquired by multimodal sensors capturing...
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07/08/2020
Guidestar-free image-guided wavefront-shaping
Optical imaging through scattering media is a fundamental challenge in m...
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02/18/2020
Neural Attentive Multiview Machines
An important problem in multiview representation learning is finding the...
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02/15/2020
Attentive Item2Vec: Neural Attentive User Representations
Factorization methods for recommender systems tend to represent users as...
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08/14/2019
Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding
Attention based models have become the new state-of-the-art in natural l...
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01/13/2017
