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Multi-label Iterated Learning for Image Classification with Label
  Ambiguity

Multi-label Iterated Learning for Image Classification with Label Ambiguity

23 November 2021
Sai Rajeswar
Pau Rodríguez López
Soumye Singhal
David Vazquez
Rameswar Panda
    VLM
ArXiv (abs)PDFHTML

Papers citing "Multi-label Iterated Learning for Image Classification with Label Ambiguity"

19 / 19 papers shown
Title
Learning to vary: Teaching LMs to reproduce human linguistic variability in next-word prediction
Learning to vary: Teaching LMs to reproduce human linguistic variability in next-word prediction
Tobias Groot
Salo Lacunes
Evgenia Ilia
126
0
0
22 Sep 2025
SSPA: Split-and-Synthesize Prompting with Gated Alignments for
  Multi-Label Image Recognition
SSPA: Split-and-Synthesize Prompting with Gated Alignments for Multi-Label Image Recognition
Hao Tan
Zichang Tan
Jun Li
Jun Wan
Zhen Lei
Stan Z. Li
VLM
196
1
0
30 Jul 2024
An Attention-based Representation Distillation Baseline for Multi-Label
  Continual Learning
An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning
Martin Menabue
Emanuele Frascaroli
Matteo Boschini
Lorenzo Bonicelli
Angelo Porrello
Simone Calderara
CLL
137
0
0
19 Jul 2024
Eliciting the Priors of Large Language Models using Iterated In-Context
  Learning
Eliciting the Priors of Large Language Models using Iterated In-Context Learning
Jian-Qiao Zhu
Thomas Griffiths
BDL
196
15
0
04 Jun 2024
Iterated Learning Improves Compositionality in Large Vision-Language
  Models
Iterated Learning Improves Compositionality in Large Vision-Language ModelsComputer Vision and Pattern Recognition (CVPR), 2024
Chenhao Zheng
Jieyu Zhang
Aniruddha Kembhavi
Ranjay Krishna
VLMCoGe
219
15
0
02 Apr 2024
CODIS: Benchmarking Context-Dependent Visual Comprehension for
  Multimodal Large Language Models
CODIS: Benchmarking Context-Dependent Visual Comprehension for Multimodal Large Language Models
Ziyue Wang
Chi Chen
Zihao Wan
Zhaolu Kang
Qidong Yan
...
Xiaoyue Mi
Peng Li
Ning Ma
Maosong Sun
Yang Liu
208
11
0
21 Feb 2024
PVLR: Prompt-driven Visual-Linguistic Representation Learning for
  Multi-Label Image Recognition
PVLR: Prompt-driven Visual-Linguistic Representation Learning for Multi-Label Image Recognition
Hao Tan
Zichang Tan
Jun Li
Jun Wan
Zhen Lei
VLM
162
3
0
31 Jan 2024
lpNTK: Better Generalisation with Less Data via Sample Interaction
  During Learning
lpNTK: Better Generalisation with Less Data via Sample Interaction During LearningInternational Conference on Learning Representations (ICLR), 2024
Shangmin Guo
Yi Ren
Stefano V.Albrecht
Kenny Smith
128
6
0
16 Jan 2024
Improving Compositional Generalization Using Iterated Learning and
  Simplicial Embeddings
Improving Compositional Generalization Using Iterated Learning and Simplicial EmbeddingsNeural Information Processing Systems (NeurIPS), 2023
Yi Ren
Samuel Lavoie
Mikhail Galkin
Danica J. Sutherland
Aaron Courville
142
20
0
28 Oct 2023
CAPro: Webly Supervised Learning with Cross-Modality Aligned Prototypes
CAPro: Webly Supervised Learning with Cross-Modality Aligned Prototypes
Yulei Qin
Xingyu Chen
Chunjiang Ge
Chaoyou Fu
Yun Gu
Ke Li
Xing Sun
Rongrong Ji
216
3
0
15 Oct 2023
Improving Image Recognition by Retrieving from Web-Scale Image-Text Data
Improving Image Recognition by Retrieving from Web-Scale Image-Text DataComputer Vision and Pattern Recognition (CVPR), 2023
Ahmet Iscen
Alireza Fathi
Cordelia Schmid
VLM3DV
211
29
0
11 Apr 2023
Bridging the Gap between Model Explanations in Partially Annotated
  Multi-label Classification
Bridging the Gap between Model Explanations in Partially Annotated Multi-label ClassificationComputer Vision and Pattern Recognition (CVPR), 2023
Youngwook Kim
Jae Myung Kim
Ji-Eun Jeong
Cordelia Schmid
Zeynep Akata
Jungwook Lee
231
20
0
04 Apr 2023
Natural Language-Assisted Sign Language Recognition
Natural Language-Assisted Sign Language RecognitionComputer Vision and Pattern Recognition (CVPR), 2023
Ronglai Zuo
Fangyun Wei
Brian Mak
SLR
180
75
0
21 Mar 2023
A Robust Multilabel Method Integrating Rule-based Transparent Model,
  Soft Label Correlation Learning and Label Noise Resistance
A Robust Multilabel Method Integrating Rule-based Transparent Model, Soft Label Correlation Learning and Label Noise ResistanceIEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2023
Qiongdan Lou
Zhaohong Deng
K. Choi
Shitong Wang
185
4
0
09 Jan 2023
Is one annotation enough? A data-centric image classification benchmark
  for noisy and ambiguous label estimation
Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimationNeural Information Processing Systems (NeurIPS), 2022
Lars Schmarje
Vasco Grossmann
Claudius Zelenka
S. Dippel
R. Kiko
...
M. Pastell
J. Stracke
A. Valros
N. Volkmann
Reinahrd Koch
319
41
0
13 Jul 2022
Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation
Hyper-Spectral Imaging for Overlapping Plastic Flakes SegmentationInternational Conference on Information Photonics (ICIP), 2022
Guillem Martinez
Maya Aghaei
M. Dijkstra
Bhalaji Nagarajan
Femke Jaarsma
J. V. D. Loosdrecht
Petia Radeva
K. Dijkstra
76
0
0
23 Mar 2022
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep
  Learning
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Jun Shu
Xiang Yuan
Deyu Meng
Zongben Xu
NoLa
175
55
0
11 Feb 2022
Learning with Neighbor Consistency for Noisy Labels
Learning with Neighbor Consistency for Noisy LabelsComputer Vision and Pattern Recognition (CVPR), 2022
Ahmet Iscen
Jack Valmadre
Anurag Arnab
Cordelia Schmid
NoLa
240
93
0
04 Feb 2022
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
1.1K
4,602
0
17 Jun 2020
1