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All-but-the-Top: Simple and Effective Postprocessing for Word
  Representations

All-but-the-Top: Simple and Effective Postprocessing for Word Representations

5 February 2017
Jiaqi Mu
S. Bhat
Pramod Viswanath
ArXivPDFHTML

Papers citing "All-but-the-Top: Simple and Effective Postprocessing for Word Representations"

50 / 50 papers shown
Title
CASE -- Condition-Aware Sentence Embeddings for Conditional Semantic Textual Similarity Measurement
CASE -- Condition-Aware Sentence Embeddings for Conditional Semantic Textual Similarity Measurement
Gaifan Zhang
Yi Zhou
Danushka Bollegala
195
0
0
21 Mar 2025
Implicit Geometry of Next-token Prediction: From Language Sparsity Patterns to Model Representations
Implicit Geometry of Next-token Prediction: From Language Sparsity Patterns to Model Representations
Yize Zhao
Tina Behnia
V. Vakilian
Christos Thrampoulidis
68
8
0
20 Feb 2025
Discrete Speech Unit Extraction via Independent Component Analysis
Discrete Speech Unit Extraction via Independent Component Analysis
Tomohiko Nakamura
Kwanghee Choi
Keigo Hojo
Yoshiaki Bando
Satoru Fukayama
Shinji Watanabe
48
0
0
11 Jan 2025
Predicting Drug-Gene Relations via Analogy Tasks with Word Embeddings
Predicting Drug-Gene Relations via Analogy Tasks with Word Embeddings
Hiroaki Yamagiwa
Ryoma Hashimoto
Kiwamu Arakane
Ken Murakami
Shou Soeda
Momose Oyama
Mariko Okada
Hidetoshi Shimodaira
Hidetoshi Shimodaira
44
0
0
03 Jun 2024
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for
  Optimized Learning Fusion
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion
Zijun Long
George Killick
Lipeng Zhuang
Gerardo Aragon Camarasa
Zaiqiao Meng
R. McCreadie
VLM
50
2
0
22 Feb 2024
Exploring Anisotropy and Outliers in Multilingual Language Models for
  Cross-Lingual Semantic Sentence Similarity
Exploring Anisotropy and Outliers in Multilingual Language Models for Cross-Lingual Semantic Sentence Similarity
Katharina Hämmerl
Alina Fastowski
Jindrich Libovický
Alexander Fraser
28
6
0
01 Jun 2023
Metrics for quantifying isotropy in high dimensional unsupervised
  clustering tasks in a materials context
Metrics for quantifying isotropy in high dimensional unsupervised clustering tasks in a materials context
Samantha Durdy
M. Gaultois
Vladimir V. Gusev
Danushka Bollegala
M. Rosseinsky
11
0
0
25 May 2023
Accessing Higher Dimensions for Unsupervised Word Translation
Accessing Higher Dimensions for Unsupervised Word Translation
Sida I. Wang
28
0
0
23 May 2023
Discovering Universal Geometry in Embeddings with ICA
Discovering Universal Geometry in Embeddings with ICA
Hiroaki Yamagiwa
Momose Oyama
Hidetoshi Shimodaira
31
15
0
22 May 2023
Token Imbalance Adaptation for Radiology Report Generation
Token Imbalance Adaptation for Radiology Report Generation
Yuexin Wu
I. Huang
Xiaolei Huang
MedIm
29
7
0
18 Apr 2023
VNE: An Effective Method for Improving Deep Representation by
  Manipulating Eigenvalue Distribution
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution
Jaeill Kim
Suhyun Kang
Duhun Hwang
Jungwook Shin
Wonjong Rhee
DRL
13
21
0
04 Apr 2023
Rediscovering Hashed Random Projections for Efficient Quantization of
  Contextualized Sentence Embeddings
Rediscovering Hashed Random Projections for Efficient Quantization of Contextualized Sentence Embeddings
Ulf A. Hamster
Ji-Ung Lee
Alexander Geyken
Iryna Gurevych
34
0
0
13 Mar 2023
Byte Pair Encoding for Symbolic Music
Byte Pair Encoding for Symbolic Music
Nathan Fradet
Nicolas Gutowski
F. Chhel
Jean-Pierre Briot
29
15
0
27 Jan 2023
The Undesirable Dependence on Frequency of Gender Bias Metrics Based on
  Word Embeddings
The Undesirable Dependence on Frequency of Gender Bias Metrics Based on Word Embeddings
Francisco Valentini
Germán Rosati
D. Slezak
Edgar Altszyler
FaML
6
8
0
02 Jan 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods,
  Applications, and Explainability
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
24
28
0
21 Dec 2022
Reliable Measures of Spread in High Dimensional Latent Spaces
Reliable Measures of Spread in High Dimensional Latent Spaces
Anna C. Marbut
Katy McKinney-Bock
Travis J. Wheeler
30
2
0
15 Dec 2022
Paraphrase Identification with Deep Learning: A Review of Datasets and
  Methods
Paraphrase Identification with Deep Learning: A Review of Datasets and Methods
Chao Zhou
Cheng Qiu
Daniel Ernesto Acuna
32
25
0
13 Dec 2022
Investigating the Frequency Distortion of Word Embeddings and Its Impact
  on Bias Metrics
Investigating the Frequency Distortion of Word Embeddings and Its Impact on Bias Metrics
Francisco Valentini
Juan Cruz Sosa
D. Slezak
Edgar Altszyler
22
3
0
15 Nov 2022
Reconciliation of Pre-trained Models and Prototypical Neural Networks in
  Few-shot Named Entity Recognition
Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition
Youcheng Huang
Wenqiang Lei
Jie Fu
Jiancheng Lv
19
3
0
07 Nov 2022
Hierarchies over Vector Space: Orienting Word and Graph Embeddings
Hierarchies over Vector Space: Orienting Word and Graph Embeddings
Xingzhi Guo
Steven Skiena
22
1
0
02 Nov 2022
Self-supervised Rewiring of Pre-trained Speech Encoders: Towards Faster
  Fine-tuning with Less Labels in Speech Processing
Self-supervised Rewiring of Pre-trained Speech Encoders: Towards Faster Fine-tuning with Less Labels in Speech Processing
Haomiao Yang
Jinming Zhao
Gholamreza Haffari
Ehsan Shareghi
30
2
0
24 Oct 2022
Unsupervised Sentence Textual Similarity with Compositional Phrase
  Semantics
Unsupervised Sentence Textual Similarity with Compositional Phrase Semantics
Zihao Wang
Jiaheng Dou
Yong Zhang
OT
40
4
0
05 Oct 2022
Addressing Token Uniformity in Transformers via Singular Value
  Transformation
Addressing Token Uniformity in Transformers via Singular Value Transformation
Hanqi Yan
Lin Gui
Wenjie Li
Yulan He
32
14
0
24 Aug 2022
Word Tour: One-dimensional Word Embeddings via the Traveling Salesman
  Problem
Word Tour: One-dimensional Word Embeddings via the Traveling Salesman Problem
Ryoma Sato
17
0
0
04 May 2022
Contrastive Visual Semantic Pretraining Magnifies the Semantics of
  Natural Language Representations
Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations
Robert Wolfe
Aylin Caliskan
VLM
21
13
0
14 Mar 2022
Just Rank: Rethinking Evaluation with Word and Sentence Similarities
Just Rank: Rethinking Evaluation with Word and Sentence Similarities
Bin Wang
C.-C. Jay Kuo
Haizhou Li
ELM
24
29
0
05 Mar 2022
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive
  Representation Learning
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning
Weixin Liang
Yuhui Zhang
Yongchan Kwon
Serena Yeung
James Zou
VLM
45
391
0
03 Mar 2022
Regional Negative Bias in Word Embeddings Predicts Racial Animus--but
  only via Name Frequency
Regional Negative Bias in Word Embeddings Predicts Racial Animus--but only via Name Frequency
Austin Van Loon
Salvatore Giorgi
Robb Willer
J. Eichstaedt
42
10
0
20 Jan 2022
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing
  Language Models
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models
Robert Wolfe
Aylin Caliskan
92
51
0
01 Oct 2021
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained
  Language Models
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models
Qianchu Liu
Fangyu Liu
Nigel Collier
Anna Korhonen
Ivan Vulić
142
21
0
19 Sep 2021
A Simple and Effective Method To Eliminate the Self Language Bias in
  Multilingual Representations
A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations
Ziyi Yang
Yinfei Yang
Daniel Cer
Eric F. Darve
33
22
0
10 Sep 2021
Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via
  Adaptive Gradient Gating for Rare Token Embeddings
Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings
Sangwon Yu
Jongyoon Song
Heeseung Kim
SeongEun Lee
Woo-Jong Ryu
Sung-Hoon Yoon
19
31
0
07 Sep 2021
A Mechanism for Producing Aligned Latent Spaces with Autoencoders
A Mechanism for Producing Aligned Latent Spaces with Autoencoders
Saachi Jain
Adityanarayanan Radhakrishnan
Caroline Uhler
24
9
0
29 Jun 2021
Empirical Evaluation of Pre-trained Transformers for Human-Level NLP:
  The Role of Sample Size and Dimensionality
Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality
Adithya V Ganesan
Matthew Matero
Aravind Reddy Ravula
Huy-Hien Vu
H. Andrew Schwartz
30
35
0
07 May 2021
IITK@LCP at SemEval 2021 Task 1: Classification for Lexical Complexity
  Regression Task
IITK@LCP at SemEval 2021 Task 1: Classification for Lexical Complexity Regression Task
Neil Rajiv Shirude
Sagnik Mukherjee
Tushar Shandhilya
Ananta Mukherjee
Ashutosh Modi
13
4
0
02 Apr 2021
Understanding Capacity-Driven Scale-Out Neural Recommendation Inference
Understanding Capacity-Driven Scale-Out Neural Recommendation Inference
Michael Lui
Yavuz Yetim
Özgür Özkan
Zhuoran Zhao
Shin-Yeh Tsai
Carole-Jean Wu
Mark Hempstead
GNN
BDL
LRM
22
51
0
04 Nov 2020
On the Sentence Embeddings from Pre-trained Language Models
On the Sentence Embeddings from Pre-trained Language Models
Bohan Li
Hao Zhou
Junxian He
Mingxuan Wang
Yiming Yang
Lei Li
30
213
0
02 Nov 2020
Robust and Consistent Estimation of Word Embedding for Bangla Language
  by fine-tuning Word2Vec Model
Robust and Consistent Estimation of Word Embedding for Bangla Language by fine-tuning Word2Vec Model
Rifat Rahman
14
9
0
26 Oct 2020
Autoencoding Improves Pre-trained Word Embeddings
Autoencoding Improves Pre-trained Word Embeddings
Masahiro Kaneko
Danushka Bollegala
LLMSV
8
14
0
25 Oct 2020
Pretraining Federated Text Models for Next Word Prediction
Pretraining Federated Text Models for Next Word Prediction
Joel Stremmel
Arjun Singh
FedML
15
52
0
11 May 2020
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
Tianlu Wang
Xi Lin
Nazneen Rajani
Bryan McCann
Vicente Ordonez
Caimng Xiong
CVBM
157
54
0
03 May 2020
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization
Wenxuan Zhou
Bill Yuchen Lin
Xiang Ren
14
24
0
02 May 2020
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual
  Lexical Semantic Similarity
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity
Ivan Vulić
Simon Baker
Edoardo Ponti
Ulla Petti
Ira Leviant
...
Eden Bar
Matt Malone
Thierry Poibeau
Roi Reichart
Anna Korhonen
21
82
0
10 Mar 2020
Embedding Compression with Isotropic Iterative Quantization
Embedding Compression with Isotropic Iterative Quantization
Siyu Liao
Jie Chen
Yanzhi Wang
Qinru Qiu
Bo Yuan
MQ
26
12
0
11 Jan 2020
Conceptor Debiasing of Word Representations Evaluated on WEAT
Conceptor Debiasing of Word Representations Evaluated on WEAT
S. Karve
Lyle Ungar
João Sedoc
FaML
22
33
0
14 Jun 2019
An Empirical Study on Post-processing Methods for Word Embeddings
An Empirical Study on Post-processing Methods for Word Embeddings
Shuai Tang
Mahta Mousavi
V. D. Sa
17
6
0
27 May 2019
Correlation Coefficients and Semantic Textual Similarity
Correlation Coefficients and Semantic Textual Similarity
V. Zhelezniak
Aleksandar Savkov
April Shen
Nils Y. Hammerla
25
50
0
19 May 2019
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature
  Vectors
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors
M. Khodak
Nikunj Saunshi
Yingyu Liang
Tengyu Ma
Brandon M Stewart
Sanjeev Arora
38
98
0
14 May 2018
Simple and Effective Dimensionality Reduction for Word Embeddings
Simple and Effective Dimensionality Reduction for Word Embeddings
Vikas Raunak
16
101
0
11 Aug 2017
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
267
13,368
0
25 Aug 2014
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