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sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel
  Classification

sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification

24 August 2021
Gabriel Bénédict
Vincent Koops
Daan Odijk
Maarten de Rijke
ArXivPDFHTML

Papers citing "sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification"

15 / 15 papers shown
Title
Risk-Aware Distributional Intervention Policies for Language Models
Bao Nguyen
Binh Nguyen
Duy Nguyen
V. Nguyen
28
1
0
28 Jan 2025
Tile Compression and Embeddings for Multi-Label Classification in
  GeoLifeCLEF 2024
Tile Compression and Embeddings for Multi-Label Classification in GeoLifeCLEF 2024
Anthony Miyaguchi
Patcharapong Aphiwetsa
Mark McDuffie
16
1
0
08 Jul 2024
Transfer Learning with Pseudo Multi-Label Birdcall Classification for
  DS@GT BirdCLEF 2024
Transfer Learning with Pseudo Multi-Label Birdcall Classification for DS@GT BirdCLEF 2024
Anthony Miyaguchi
Adrian Cheung
Murilo Gustineli
Ashley Kim
33
1
0
08 Jul 2024
AnyLoss: Transforming Classification Metrics into Loss Functions
AnyLoss: Transforming Classification Metrics into Loss Functions
Doheon Han
Nuno Moniz
Nitesh V. Chawla
22
2
0
23 May 2024
Transformer models classify random numbers
Transformer models classify random numbers
Rishabh Goel
YiZi Xiao
Ramin Ramezani
17
0
0
06 May 2024
Predicting machine failures from multivariate time series: an industrial
  case study
Predicting machine failures from multivariate time series: an industrial case study
Nicolò Oreste Pinciroli Vago
Francesca Forbicini
Piero Fraternali
AI4CE
28
6
0
27 Feb 2024
Predicting O-GlcNAcylation Sites in Mammalian Proteins with Transformers
  and RNNs Trained with a New Loss Function
Predicting O-GlcNAcylation Sites in Mammalian Proteins with Transformers and RNNs Trained with a New Loss Function
Pedro Seber
19
2
0
27 Feb 2024
EVOKE: Emotion Enabled Virtual Avatar Mapping Using Optimized Knowledge
  Distillation
EVOKE: Emotion Enabled Virtual Avatar Mapping Using Optimized Knowledge Distillation
Maryam Nadeem
Raza Imam
Rouqaiah Al-Refai
Meriem Chkir
M. Hoda
Abdulmotaleb El Saddik
20
0
0
13 Jan 2024
Simple Weak Coresets for Non-Decomposable Classification Measures
Simple Weak Coresets for Non-Decomposable Classification Measures
Jayesh Malaviya
Anirban Dasgupta
Rachit Chhaya
13
0
0
15 Dec 2023
Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal
Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal
Anastasiia Sedova
Lena Zellinger
Benjamin Roth
9
2
0
07 Jun 2023
Do Machine Learning Models Learn Statistical Rules Inferred from Data?
Do Machine Learning Models Learn Statistical Rules Inferred from Data?
Aaditya Naik
Yinjun Wu
Mayur Naik
Eric Wong
6
4
0
02 Mar 2023
EXACT: How to Train Your Accuracy
EXACT: How to Train Your Accuracy
I. Karpukhin
Stanislav Dereka
Sergey Kolesnikov
6
0
0
19 May 2022
Are We Really Making Much Progress in Text Classification? A Comparative
  Review
Are We Really Making Much Progress in Text Classification? A Comparative Review
Lukas Galke
Andor Diera
Bao Xin Lin
Bhakti Khera
Tim Meuser
Tushar Singhal
Fabian Karl
A. Scherp
VLM
16
3
0
08 Apr 2022
Deep Learning Approach for Aggressive Driving Behaviour Detection
Deep Learning Approach for Aggressive Driving Behaviour Detection
Farid Talebloo
E. Mohammed
B. Far
10
7
0
08 Nov 2021
Big Bird: Transformers for Longer Sequences
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Guruganesh
Kumar Avinava Dubey
Joshua Ainslie
Chris Alberti
...
Philip Pham
Anirudh Ravula
Qifan Wang
Li Yang
Amr Ahmed
VLM
249
1,982
0
28 Jul 2020
1