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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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06/09/2023
GPT-Calls: Enhancing Call Segmentation and Tagging by Generating Synthetic Conversations via Large Language Models
Transcriptions of phone calls are of significant value across diverse fi...
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02/04/2023
Detecting Security Patches via Behavioral Data in Code Repositories
The absolute majority of software today is developed collaboratively usi...
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08/13/2022
Interpreting BERT-based Text Similarity via Activation and Saliency Maps
Recently, there has been growing interest in the ability of Transformer-...
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08/13/2022
MetricBERT: Text Representation Learning via Self-Supervised Triplet Training
We present MetricBERT, a BERT-based model that learns to embed text unde...
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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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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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06/02/2021
Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference
We present a novel model for the problem of ranking a collection of docu...
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09/26/2020
Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering
Two main challenges in recommender systems are modeling users with heter...
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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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04/12/2020
Bayesian Hierarchical Words Representation Learning
This paper presents the Bayesian Hierarchical Words Representation (BHWR...
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03/12/2020
Autoencoders
An autoencoder is a specific type of a neural network, which is mainlyde...
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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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11/01/2016
The Deep Journey from Content to Collaborative Filtering
In Recommender Systems research, algorithms are often characterized as e...
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08/15/2016
The Bayesian Low-Rank Determinantal Point Process Mixture Model
Determinantal point processes (DPPs) are an elegant model for encoding p...
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03/14/2016
Item2Vec: Neural Item Embedding for Collaborative Filtering
Many Collaborative Filtering (CF) algorithms are item-based in the sense...
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02/17/2016
Low-Rank Factorization of Determinantal Point Processes for Recommendation
Determinantal point processes (DPPs) have garnered attention as an elega...
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09/26/2013