Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2004.07126
Cited By
Bayesian Hierarchical Words Representation Learning
12 April 2020
Oren Barkan
Idan Rejwan
Avi Caciularu
Noam Koenigstein
BDL
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Bayesian Hierarchical Words Representation Learning"
10 / 10 papers shown
Title
Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models
Oren Barkan
Yuval Asher
Amit Eshel
Yehonatan Elisha
Noam Koenigstein
67
5
0
25 Oct 2023
Deep Integrated Explanations
Oren Barkan
Yehonatan Elisha
Jonathan Weill
Yuval Asher
Amit Eshel
Noam Koenigstein
FAtt
105
7
0
23 Oct 2023
Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond
Oren Barkan
Tal Reiss
Jonathan Weill
Ori Katz
Roy Hirsch
Itzik Malkiel
Noam Koenigstein
83
6
0
28 Aug 2023
Representation Learning via Variational Bayesian Networks
Oren Barkan
Avi Caciularu
Idan Rejwan
Ori Katz
Jonathan Weill
Itzik Malkiel
Noam Koenigstein
BDL
93
15
0
28 Jun 2023
Interpreting BERT-based Text Similarity via Activation and Saliency Maps
Itzik Malkiel
Dvir Ginzburg
Oren Barkan
Avi Caciularu
Jonathan Weill
Noam Koenigstein
79
21
0
13 Aug 2022
MetricBERT: Text Representation Learning via Self-Supervised Triplet Training
Itzik Malkiel
Dvir Ginzburg
Oren Barkan
Avi Caciularu
Yoni Weill
Noam Koenigstein
SSL
74
13
0
13 Aug 2022
Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps
Oren Barkan
Edan Hauon
Avi Caciularu
Ori Katz
Itzik Malkiel
Omri Armstrong
Noam Koenigstein
88
40
0
23 Apr 2022
Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates
Oren Barkan
Roy Hirsch
Ori Katz
Avi Caciularu
Jonathan Weill
Noam Koenigstein
69
8
0
12 Dec 2021
Denoising Word Embeddings by Averaging in a Shared Space
Avi Caciularu
Ido Dagan
Jacob Goldberger
FedML
MoMe
67
4
0
05 Jun 2021
Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering
Oren Barkan
Yonatan Fuchs
Avi Caciularu
Noam Koenigstein
HAI
72
37
0
26 Sep 2020
1