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deep-significance - Easy and Meaningful Statistical Significance Testing
  in the Age of Neural Networks

deep-significance - Easy and Meaningful Statistical Significance Testing in the Age of Neural Networks

14 April 2022
Dennis Ulmer
Christian Hardmeier
J. Frellsen
ArXivPDFHTML

Papers citing "deep-significance - Easy and Meaningful Statistical Significance Testing in the Age of Neural Networks"

23 / 23 papers shown
Title
Generalized Attention Flow: Feature Attribution for Transformer Models via Maximum Flow
Generalized Attention Flow: Feature Attribution for Transformer Models via Maximum Flow
Behrooz Azarkhalili
Maxwell Libbrecht
28
0
0
14 Feb 2025
Enriching Social Science Research via Survey Item Linking
Enriching Social Science Research via Survey Item Linking
Tornike Tsereteli
Daniel Ruffinelli
Simone Paolo Ponzetto
LRM
70
0
0
20 Dec 2024
A Target-Aware Analysis of Data Augmentation for Hate Speech Detection
A Target-Aware Analysis of Data Augmentation for Hate Speech Detection
Camilla Casula
Sara Tonelli
19
0
0
10 Oct 2024
A multimodal LLM for the non-invasive decoding of spoken text from brain
  recordings
A multimodal LLM for the non-invasive decoding of spoken text from brain recordings
Youssef Hmamouche
Ismail Chihab
Lahoucine Kdouri
Amal El Fallah Seghrouchni
36
2
0
29 Sep 2024
Multivariate Stochastic Dominance via Optimal Transport and Applications
  to Models Benchmarking
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking
Gabriel Rioux
Apoorva Nitsure
Mattia Rigotti
Kristjan Greenewald
Youssef Mroueh
27
1
0
10 Jun 2024
A noisy elephant in the room: Is your out-of-distribution detector
  robust to label noise?
A noisy elephant in the room: Is your out-of-distribution detector robust to label noise?
Galadrielle Humblot-Renaux
Sergio Escalera
T. Moeslund
OODD
UQCV
NoLa
27
5
0
02 Apr 2024
End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI
End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI
George Yiasemis
J. Sonke
Jonas Teuwen
24
2
0
15 Mar 2024
Collaboration or Corporate Capture? Quantifying NLP's Reliance on
  Industry Artifacts and Contributions
Collaboration or Corporate Capture? Quantifying NLP's Reliance on Industry Artifacts and Contributions
Will Aitken
Mohamed Abdalla
K. Rudie
Catherine Stinson
17
0
0
06 Dec 2023
Class Uncertainty: A Measure to Mitigate Class Imbalance
Class Uncertainty: A Measure to Mitigate Class Imbalance
Z. S. Baltaci
K. Oksuz
S. Kuzucu
K. Tezoren
B. K. Konar
A. Ozkan
Emre Akbas
Sinan Kalkan
77
2
0
23 Nov 2023
Risk Aware Benchmarking of Large Language Models
Risk Aware Benchmarking of Large Language Models
Apoorva Nitsure
Youssef Mroueh
Mattia Rigotti
Kristjan Greenewald
Brian M. Belgodere
Mikhail Yurochkin
Jirí Navrátil
Igor Melnyk
Jerret Ross
30
1
0
11 Oct 2023
VideoAdviser: Video Knowledge Distillation for Multimodal Transfer
  Learning
VideoAdviser: Video Knowledge Distillation for Multimodal Transfer Learning
Yanan Wang
Donghuo Zeng
Shinya Wada
Satoshi Kurihara
32
6
0
27 Sep 2023
Triggering Dark Showers with Conditional Dual Auto-Encoders
Triggering Dark Showers with Conditional Dual Auto-Encoders
Luca Anzalone
S. S. Chhibra
B. Maier
N. Chernyavskaya
M. Pierini
AI4CE
27
4
0
22 Jun 2023
Tokenization with Factorized Subword Encoding
Tokenization with Factorized Subword Encoding
David Samuel
Lilja Øvrelid
20
1
0
13 Jun 2023
Context-aware attention layers coupled with optimal transport domain
  adaptation and multimodal fusion methods for recognizing dementia from
  spontaneous speech
Context-aware attention layers coupled with optimal transport domain adaptation and multimodal fusion methods for recognizing dementia from spontaneous speech
Loukas Ilias
D. Askounis
18
8
0
25 May 2023
Time Series Classification for Detecting Parkinson's Disease from Wrist
  Motions
Time Series Classification for Detecting Parkinson's Disease from Wrist Motions
Cedric Donié
Neha Das
Satoshi Endo
Sandra Hirche
16
1
0
21 Apr 2023
DBGDGM: Dynamic Brain Graph Deep Generative Model
DBGDGM: Dynamic Brain Graph Deep Generative Model
Alexander Campbell
Simeon E. Spasov
N. Toschi
Pietro Lio'
22
0
0
26 Jan 2023
On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction
On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction
George Yiasemis
Clara I. Sánchez
J. Sonke
Jonas Teuwen
13
17
0
20 Jan 2023
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the
  Impact of Method & Data Scarcity
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity
Dennis Ulmer
J. Frellsen
Christian Hardmeier
174
22
0
20 Oct 2022
DynDepNet: Learning Time-Varying Dependency Structures from fMRI Data
  via Dynamic Graph Structure Learning
DynDepNet: Learning Time-Varying Dependency Structures from fMRI Data via Dynamic Graph Structure Learning
Alexander Campbell
A. Zippo
L. Passamonti
N. Toschi
Pietro Lio'
19
3
0
27 Sep 2022
LingMess: Linguistically Informed Multi Expert Scorers for Coreference
  Resolution
LingMess: Linguistically Informed Multi Expert Scorers for Coreference Resolution
Shon Otmazgin
Arie Cattan
Yoav Goldberg
LRM
40
36
0
25 May 2022
Experimental Standards for Deep Learning in Natural Language Processing
  Research
Experimental Standards for Deep Learning in Natural Language Processing Research
Dennis Ulmer
Elisa Bassignana
Max Müller-Eberstein
Daniel Varab
Mike Zhang
Rob van der Goot
Christian Hardmeier
Barbara Plank
15
10
0
13 Apr 2022
With Little Power Comes Great Responsibility
With Little Power Comes Great Responsibility
Dallas Card
Peter Henderson
Urvashi Khandelwal
Robin Jia
Kyle Mahowald
Dan Jurafsky
225
115
0
13 Oct 2020
Model Evaluation, Model Selection, and Algorithm Selection in Machine
  Learning
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
S. Raschka
75
758
0
13 Nov 2018
1