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k* Distribution: Evaluating the Latent Space of Deep Neural Networks
  using Local Neighborhood Analysis

k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis

7 December 2023
Shashank Kotyan
Tatsuya Ueda
Danilo Vasconcellos Vargas
ArXiv (abs)PDFHTML

Papers citing "k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis"

37 / 37 papers shown
Title
Back Transcription as a Method for Evaluating Robustness of Natural
  Language Understanding Models to Speech Recognition Errors
Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors
Marek Kubis
Pawel Skórzewski
Marcin Sowañski
Tomasz Ziętkiewicz
52
6
0
25 Oct 2023
On the Transformation of Latent Space in Fine-Tuned NLP Models
On the Transformation of Latent Space in Fine-Tuned NLP Models
Nadir Durrani
Hassan Sajjad
Fahim Dalvi
Firoj Alam
103
19
0
23 Oct 2022
Visual Comparison of Language Model Adaptation
Visual Comparison of Language Model Adaptation
Rita Sevastjanova
E. Cakmak
Shauli Ravfogel
Ryan Cotterell
Mennatallah El-Assady
VLM
78
16
0
17 Aug 2022
Discovering Latent Concepts Learned in BERT
Discovering Latent Concepts Learned in BERT
Fahim Dalvi
A. Khan
Firoj Alam
Nadir Durrani
Jia Xu
Hassan Sajjad
SSL
48
61
0
15 May 2022
BERTops: Studying BERT Representations under a Topological Lens
BERTops: Studying BERT Representations under a Topological Lens
Jatin Chauhan
Manohar Kaul
70
4
0
02 May 2022
MASSIVE: A 1M-Example Multilingual Natural Language Understanding
  Dataset with 51 Typologically-Diverse Languages
MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
Jack G. M. FitzGerald
C. Hench
Charith Peris
Scott Mackie
Kay Rottmann
...
Laurie Crist
Misha Britan
Wouter Leeuwis
Gokhan Tur
Premkumar Natarajan
65
134
0
18 Apr 2022
Emblaze: Illuminating Machine Learning Representations through
  Interactive Comparison of Embedding Spaces
Emblaze: Illuminating Machine Learning Representations through Interactive Comparison of Embedding Spaces
Venkatesh Sivaraman
Yiwei Wu
Adam Perer
60
22
0
05 Feb 2022
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
670
41,430
0
22 Oct 2020
Understanding and Mitigating the Tradeoff Between Robustness and
  Accuracy
Understanding and Mitigating the Tradeoff Between Robustness and Accuracy
Aditi Raghunathan
Sang Michael Xie
Fanny Yang
John C. Duchi
Percy Liang
AAML
97
229
0
25 Feb 2020
Embedding Comparator: Visualizing Differences in Global Structure and
  Local Neighborhoods via Small Multiples
Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples
Angie Boggust
Brandon Carter
Arvind Satyanarayan
62
64
0
10 Dec 2019
TriMap: Large-scale Dimensionality Reduction Using Triplets
TriMap: Large-scale Dimensionality Reduction Using Triplets
Ehsan Amid
Manfred K. Warmuth
58
119
0
01 Oct 2019
SANVis: Visual Analytics for Understanding Self-Attention Networks
SANVis: Visual Analytics for Understanding Self-Attention Networks
Cheonbok Park
Inyoup Na
Yongjang Jo
Sungbok Shin
J. Yoo
Bum Chul Kwon
Jian Zhao
Hyungjong Noh
Yeonsoo Lee
Jaegul Choo
HAI
64
39
0
13 Sep 2019
A Multiscale Visualization of Attention in the Transformer Model
A Multiscale Visualization of Attention in the Transformer Model
Jesse Vig
ViT
79
582
0
12 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DVMedIm
153
18,179
0
28 May 2019
Summit: Scaling Deep Learning Interpretability by Visualizing Activation
  and Attribution Summarizations
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations
Fred Hohman
Haekyu Park
Caleb Robinson
Duen Horng Chau
FAtt3DHHAI
52
218
0
04 Apr 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias
  improves accuracy and robustness
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Robert Geirhos
Patricia Rubisch
Claudio Michaelis
Matthias Bethge
Felix Wichmann
Wieland Brendel
124
2,673
0
29 Nov 2018
Identifying and Controlling Important Neurons in Neural Machine
  Translation
Identifying and Controlling Important Neurons in Neural Machine Translation
A. Bau
Yonatan Belinkov
Hassan Sajjad
Nadir Durrani
Fahim Dalvi
James R. Glass
MILM
70
184
0
03 Nov 2018
Neural Nearest Neighbors Networks
Neural Nearest Neighbors Networks
Tobias Plötz
Stefan Roth
73
340
0
30 Oct 2018
EmbeddingVis: A Visual Analytics Approach to Comparative Network
  Embedding Inspection
EmbeddingVis: A Visual Analytics Approach to Comparative Network Embedding Inspection
Quan Li
Kristanto Sean Njotoprawiro
Hammad Haleem
Qiaoan Chen
Chris Yi
Xiaojuan Ma
39
58
0
28 Aug 2018
Generalisation in humans and deep neural networks
Generalisation in humans and deep neural networks
Robert Geirhos
Carlos R. Medina Temme
Jonas Rauber
Heiko H. Schutt
Matthias Bethge
Felix Wichmann
OOD
107
609
0
27 Aug 2018
Robustness May Be at Odds with Accuracy
Robustness May Be at Odds with Accuracy
Dimitris Tsipras
Shibani Santurkar
Logan Engstrom
Alexander Turner
Aleksander Madry
AAML
108
1,782
0
30 May 2018
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
Hendrik Strobelt
Sebastian Gehrmann
M. Behrisch
Adam Perer
Hanspeter Pfister
Alexander M. Rush
VLMHAI
54
240
0
25 Apr 2018
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
Pete Warden
97
1,626
0
09 Apr 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
199
9,473
0
09 Feb 2018
Simultaneously Learning Neighborship and Projection Matrix for
  Supervised Dimensionality Reduction
Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction
Yanwei Pang
Bo Zhou
Feiping Nie
50
39
0
09 Sep 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILMOOD
317
12,131
0
19 Jun 2017
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models
Minsuk Kahng
Pierre Yves Andrews
Aditya Kalro
Duen Horng Chau
HAI
72
324
0
06 Apr 2017
Embedding Projector: Interactive Visualization and Interpretation of
  Embeddings
Embedding Projector: Interactive Visualization and Interpretation of Embeddings
D. Smilkov
Nikhil Thorat
Charles Nicholson
Emily Reif
F. Viégas
Martin Wattenberg
58
180
0
16 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
522
10,347
0
16 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
325
20,086
0
07 Oct 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
353
8,000
0
23 May 2016
Visualizing Large-scale and High-dimensional Data
Visualizing Large-scale and High-dimensional Data
Jian Tang
J. Liu
Ming Zhang
Qiaozhu Mei
AI4TS
75
381
0
01 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
Object Detectors Emerge in Deep Scene CNNs
Object Detectors Emerge in Deep Scene CNNs
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
ObjD
158
1,283
0
22 Dec 2014
Understanding Deep Image Representations by Inverting Them
Understanding Deep Image Representations by Inverting Them
Aravindh Mahendran
Andrea Vedaldi
FAtt
131
1,965
0
26 Nov 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,595
0
01 Sep 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
595
15,904
0
12 Nov 2013
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