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Learning and Evaluating Sparse Interpretable Sentence Embeddings

v1v2 (latest)

Learning and Evaluating Sparse Interpretable Sentence Embeddings

23 September 2018

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Papers citing "Learning and Evaluating Sparse Interpretable Sentence Embeddings"

7 / 7 papers shown

Disentangling Dense Embeddings with Sparse Autoencoders

Disentangling Dense Embeddings with Sparse Autoencoders

Charles OÑeill

301

12

0

01 Aug 2024

Answer is All You Need: Instruction-following Text Embedding via
Answering the Question

Answer is All You Need: Instruction-following Text Embedding via Answering the Question

Jayanth Srinivasa

198

17

0

15 Feb 2024

Practice with Graph-based ANN Algorithms on Sparse Data: Chi-square
Two-tower model, HNSW, Sign Cauchy Projections

Practice with Graph-based ANN Algorithms on Sparse Data: Chi-square Two-tower model, HNSW, Sign Cauchy Projections

148

4

0

13 Jun 2023

Explaining the Deep Natural Language Processing by Mining Textual
Interpretable Features

Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features

Salvatore Greco

Tania Cerquitelli

108

2

0

12 Jun 2021

Learning Sparse Sentence Encoding without Supervision: An Exploration of
Sparsity in Variational Autoencoders

Learning Sparse Sentence Encoding without Supervision: An Exploration of Sparsity in Variational Autoencoders

Victor Prokhorov

Ehsan Shareghi

117

1

0

25 Sep 2020

The Explanation Game: Towards Prediction Explainability through Sparse
Communication

The Explanation Game: Towards Prediction Explainability through Sparse Communication

Marcos Vinícius Treviso

André F. T. Martins

182

3

0

28 Apr 2020

Analyzing and Interpreting Neural Networks for NLP: A Report on the
First BlackboxNLP Workshop

Analyzing and Interpreting Neural Networks for NLP: A Report on the First BlackboxNLP Workshop

Grzegorz Chrupała

203

67

0

05 Apr 2019