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Multi-class Classification without Multi-class Labels

Multi-class Classification without Multi-class Labels

2 January 2019
Yen-Chang Hsu
Zhaoyang Lv
Joel Schlosser
Phillip Odom
Z. Kira
ArXiv (abs)PDFHTML

Papers citing "Multi-class Classification without Multi-class Labels"

50 / 104 papers shown
NILC: Discovering New Intents with LLM-assisted Clustering
NILC: Discovering New Intents with LLM-assisted Clustering
Hongtao Wang
Renchi Yang
Wenqing Lin
144
0
0
08 Nov 2025
Image-Intrinsic Priors for Integrated Circuit Defect Detection and Novel Class Discovery via Self-Supervised Learning
Image-Intrinsic Priors for Integrated Circuit Defect Detection and Novel Class Discovery via Self-Supervised Learning
Botong.Zhao
Xubin.Wang
Shujing.Lyu
Yue.Lu
126
0
0
05 Nov 2025
Novel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and Reasoning
Novel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and Reasoning
Yang Li
Aming Wu
Zihao Zhang
Yahong Han
3DPC
237
1
0
15 Oct 2025
Angular Constraint Embedding via SpherePair Loss for Constrained Clustering
Angular Constraint Embedding via SpherePair Loss for Constrained Clustering
Shaojie Zhang
Ke Chen
224
0
0
08 Oct 2025
Category Discovery: An Open-World Perspective
Category Discovery: An Open-World Perspective
Zhenqi He
Yuanpei Liu
Kai Han
357
1
0
26 Sep 2025
How many classes do we need to see for novel class discovery?
How many classes do we need to see for novel class discovery?
Akanksha Sarkar
Been Kim
Jennifer J. Sun
98
0
0
19 Sep 2025
Novel Category Discovery with X-Agent Attention for Open-Vocabulary Semantic Segmentation
Novel Category Discovery with X-Agent Attention for Open-Vocabulary Semantic Segmentation
Jiahao Li
Yang Lu
Yachao Zhang
Fangyong Wang
Yuan Xie
Yanyun Qu
VLM
189
1
0
01 Sep 2025
ZClassifier: Temperature Tuning and Manifold Approximation via KL Divergence on Logit Space
ZClassifier: Temperature Tuning and Manifold Approximation via KL Divergence on Logit Space
Shim Soon Yong
333
0
0
14 Jul 2025
Generalized Category Discovery under the Long-Tailed Distribution
Generalized Category Discovery under the Long-Tailed Distribution
Bingchen Zhao
Kai Han
382
1
0
14 Jun 2025
LANID: LLM-assisted New Intent Discovery
LANID: LLM-assisted New Intent DiscoveryInternational Conference on Language Resources and Evaluation (LREC), 2025
Lu Fan
Jiashu Pu
Rongsheng Zhang
Xiao-Ming Wu
422
4
0
31 Mar 2025
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal GuidanceAAAI Conference on Artificial Intelligence (AAAI), 2025
Jialong Guo
Ke Liu
Jiangchao Yao
Zhihua Wang
Jiajun Bu
Haishuai Wang
AI4TS
436
7
0
20 Jan 2025
IntentGPT: Few-shot Intent Discovery with Large Language Models
IntentGPT: Few-shot Intent Discovery with Large Language Models
Juan A. Rodriguez
Nicholas Botzer
David Vazquez
Christopher Pal
M. Pedersoli
I. Laradji
VLM
436
12
0
16 Nov 2024
GraphVL: Graph-Enhanced Semantic Modeling via Vision-Language Models for
  Generalized Class Discovery
GraphVL: Graph-Enhanced Semantic Modeling via Vision-Language Models for Generalized Class DiscoveryIndian Conference on Computer Vision, Graphics & Image Processing (ICVGIP), 2024
Bhupendra S. Solanki
Ashwin Nair
Mainak Singha
Souradeep Mukhopadhyay
Ankit Jha
Biplab Banerjee
VLM
444
3
0
04 Nov 2024
Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed
  Intent Discovery
Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent DiscoveryConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Yimin Deng
Yuxia Wu
Guoshuai Zhao
Li Zhu
Xueming Qian
306
1
0
26 Oct 2024
A Survey of Ontology Expansion for Conversational Understanding
A Survey of Ontology Expansion for Conversational UnderstandingConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Jinggui Liang
Yuxia Wu
Yuan Fang
Hao Fei
Lizi Liao
467
11
0
19 Oct 2024
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial ScenariosComputer Vision and Pattern Recognition (CVPR), 2024
Ziming Huang
Xurui Li
Haotian Liu
Feng Xue
Yuzhe Wang
Yu Zhou
447
9
0
18 Oct 2024
Composing Novel Classes: A Concept-Driven Approach to Generalized Category Discovery
Composing Novel Classes: A Concept-Driven Approach to Generalized Category Discovery
Chuyu Zhang
Peiyan Gu
Xueyang Yu
Xuming He
725
1
0
17 Oct 2024
Flipped Classroom: Aligning Teacher Attention with Student in
  Generalized Category Discovery
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category DiscoveryNeural Information Processing Systems (NeurIPS), 2024
Haonan Lin
Wenbin An
Jiahao Wang
Yan Chen
Feng Tian
Mengmeng Wang
Guang Dai
Qianying Wang
Jingdong Wang
339
5
0
29 Sep 2024
SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery
SelEx: Self-Expertise in Fine-Grained Generalized Category DiscoveryEuropean Conference on Computer Vision (ECCV), 2024
Sarah Rastegar
Mohammadreza Salehi
Yuki M. Asano
Hazel Doughty
Cees G. M. Snoek
279
26
0
26 Aug 2024
Online Continuous Generalized Category Discovery
Online Continuous Generalized Category DiscoveryEuropean Conference on Computer Vision (ECCV), 2024
Keon-Hee Park
Hakyung Lee
Kyungwoo Song
Gyeong-Moon Park
CLLBDL
364
8
0
24 Aug 2024
Self-Cooperation Knowledge Distillation for Novel Class Discovery
Self-Cooperation Knowledge Distillation for Novel Class Discovery
Yuzheng Wang
Zhaoyu Chen
Dingkang Yang
Yunquan Sun
Lizhe Qi
452
5
0
02 Jul 2024
Exclusive Style Removal for Cross Domain Novel Class Discovery
Exclusive Style Removal for Cross Domain Novel Class Discovery
Yicheng Wang
Yifan Zhang
Junmin Liu
Kai Sun
621
6
0
26 Jun 2024
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch
  and Inductive Inference
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference
S. Park
Hyuk Kwon
Kwanghoon Sohn
Kibok Lee
OffRL
301
1
0
31 May 2024
Continual Novel Class Discovery via Feature Enhancement and Adaptation
Continual Novel Class Discovery via Feature Enhancement and Adaptation
Yifan Yu
Shaokun Wang
Yuhang He
Junzhe Chen
Yihong Gong
CLL
367
2
0
10 May 2024
Beyond Known Clusters: Probe New Prototypes for Efficient Generalized
  Class Discovery
Beyond Known Clusters: Probe New Prototypes for Efficient Generalized Class Discovery
Ye Wang
Yaxiong Wang
Yujiao Wu
Bin Zhao
Xueming Qian
642
6
0
13 Apr 2024
CDAD-Net: Bridging Domain Gaps in Generalized Category Discovery
CDAD-Net: Bridging Domain Gaps in Generalized Category Discovery
Sai Bhargav Rongali
Sarthak Mehrotra
Ankit Jha
C. MohamadHassanN
Shirsha Bose
Tanisha Gupta
Mainak Singha
Biplab Banerjee
368
11
0
08 Apr 2024
New Intent Discovery with Attracting and Dispersing Prototype
New Intent Discovery with Attracting and Dispersing Prototype
Shun Zhang
Zhiqiang Wang
Jiaqi Bai
Chaoran Yan
Tongliang Li
Zhao Yan
Zhoujun Li
350
7
0
25 Mar 2024
GLC++: Source-Free Universal Domain Adaptation through Global-Local Clustering and Contrastive Affinity Learning
GLC++: Source-Free Universal Domain Adaptation through Global-Local Clustering and Contrastive Affinity Learning
Sanqing Qu
Tianpei Zou
Florian Röhrbein
Cewu Lu
G. Chen
Dacheng Tao
Changjun Jiang
319
10
0
21 Mar 2024
Adaptive Discovering and Merging for Incremental Novel Class Discovery
Adaptive Discovering and Merging for Incremental Novel Class Discovery
Guangyao Chen
Peixi Peng
Yangru Huang
Mengyue Geng
Yonghong Tian
CLLMoMe
347
12
0
06 Mar 2024
A General Framework for Learning from Weak Supervision
A General Framework for Learning from Weak Supervision
Hao Chen
Yongfeng Zhang
Lei Feng
Xiang Li
Yidong Wang
Xing Xie
Masashi Sugiyama
Rita Singh
Bhiksha Raj
388
13
0
02 Feb 2024
ConstraintMatch for Semi-constrained Clustering
ConstraintMatch for Semi-constrained ClusteringIEEE International Joint Conference on Neural Network (IJCNN), 2023
Jann Goschenhofer
B. Bischl
Z. Kira
196
2
0
26 Nov 2023
A Practical Approach to Novel Class Discovery in Tabular Data
A Practical Approach to Novel Class Discovery in Tabular Data
Colin Troisemaine
Alexandre Reiffers
Stéphane Gosselin
Vincent Lemaire
Sandrine Vaton
522
4
0
09 Nov 2023
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised
  Learning
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised LearningNeural Information Processing Systems (NeurIPS), 2023
Yiyou Sun
Zhenmei Shi
Shouqing Yang
OffRL
268
31
0
06 Nov 2023
Generalized Category Discovery with Clustering Assignment Consistency
Generalized Category Discovery with Clustering Assignment ConsistencyInternational Conference on Neural Information Processing (ICONIP), 2023
Xiangli Yang
Xinglin Pan
Irwin King
Zenglin Xu
194
6
0
30 Oct 2023
When and How Does Known Class Help Discover Unknown Ones? Provable
  Understanding Through Spectral Analysis
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral AnalysisInternational Conference on Machine Learning (ICML), 2023
Yiyou Sun
Zhenmei Shi
Yingyu Liang
Shouqing Yang
243
25
0
09 Aug 2023
Novel Class Discovery for Long-tailed Recognition
Novel Class Discovery for Long-tailed Recognition
Zhang Chuyu
Rui Xu
Xuming He
520
21
0
06 Aug 2023
Proxy Anchor-based Unsupervised Learning for Continuous Generalized
  Category Discovery
Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category DiscoveryIEEE International Conference on Computer Vision (ICCV), 2023
Hyungmin Kim
Sungho Suh
Daehwan Kim
Daun Jeong
Hansang Cho
Junmo Kim
CLL
359
26
0
20 Jul 2023
Class-relation Knowledge Distillation for Novel Class Discovery
Class-relation Knowledge Distillation for Novel Class DiscoveryIEEE International Conference on Computer Vision (ICCV), 2023
Peiyan Gu
Chuyu Zhang
Rui Xu
Xuming He
474
35
0
18 Jul 2023
Novel Categories Discovery Via Constraints on Empirical Prediction
  Statistics
Novel Categories Discovery Via Constraints on Empirical Prediction Statistics
Zahid Hasan
A. Faridee
Masud Ahmed
S. Purushotham
H. Kwon
Hyungtae Lee
Nirmalya Roy
397
2
0
07 Jul 2023
A Universal Unbiased Method for Classification from Aggregate
  Observations
A Universal Unbiased Method for Classification from Aggregate ObservationsInternational Conference on Machine Learning (ICML), 2023
Zixi Wei
Lei Feng
Bo Han
Tongliang Liu
Gang Niu
Xiaofeng Zhu
Mengqi Li
331
7
0
20 Jun 2023
Supervised Knowledge May Hurt Novel Class Discovery Performance
Supervised Knowledge May Hurt Novel Class Discovery Performance
Ziyun Li
Jona Otholt
Ben Dai
Diane Hu
Christoph Meinel
Haojin Yang
174
6
0
06 Jun 2023
Federated Generalized Category Discovery
Federated Generalized Category DiscoveryComputer Vision and Pattern Recognition (CVPR), 2023
Nan Pu
Zhun Zhong
Xinyuan Ji
Andrii Zadaianchuk
FedML
310
26
0
23 May 2023
CLIP-GCD: Simple Language Guided Generalized Category Discovery
CLIP-GCD: Simple Language Guided Generalized Category Discovery
Rabah Ouldnoughi
Chia-Wen Kuo
Z. Kira
VLM
235
26
0
17 May 2023
Learning Semi-supervised Gaussian Mixture Models for Generalized
  Category Discovery
Learning Semi-supervised Gaussian Mixture Models for Generalized Category DiscoveryIEEE International Conference on Computer Vision (ICCV), 2023
Bingchen Zhao
Xin Wen
Kai Han
280
104
0
10 May 2023
Towards Unbiased Training in Federated Open-world Semi-supervised
  Learning
Towards Unbiased Training in Federated Open-world Semi-supervised LearningInternational Conference on Machine Learning (ICML), 2023
Jie Zhang
Xiaosong Ma
Song Guo
Wenchao Xu
FedML
258
13
0
01 May 2023
Incremental Generalized Category Discovery
Incremental Generalized Category DiscoveryIEEE International Conference on Computer Vision (ICCV), 2023
Bingchen Zhao
Oisin Mac Aodha
CLL
454
35
0
27 Apr 2023
A Clustering Framework for Unsupervised and Semi-supervised New Intent
  Discovery
A Clustering Framework for Unsupervised and Semi-supervised New Intent DiscoveryIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Hanlei Zhang
Huanlin Xu
Xin Eric Wang
Fei Long
Kai Gao
442
22
0
16 Apr 2023
CiPR: An Efficient Framework with Cross-instance Positive Relations for
  Generalized Category Discovery
CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery
Shaozhe Hao
Kai Han
Kwan-Yee K. Wong
339
30
0
14 Apr 2023
MOST: Multiple Object localization with Self-supervised Transformers for
  object discovery
MOST: Multiple Object localization with Self-supervised Transformers for object discoveryIEEE International Conference on Computer Vision (ICCV), 2023
Sai Saketh Rambhatla
Ishan Misra
Rama Chellappa
Abhinav Shrivastava
437
21
0
11 Apr 2023
Large-scale Pre-trained Models are Surprisingly Strong in Incremental
  Novel Class Discovery
Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class DiscoveryInternational Conference on Pattern Recognition (ICPR), 2023
Mingxuan Liu
Subhankar Roy
Zhun Zhong
Andrii Zadaianchuk
Elisa Ricci
CLLSSL
458
13
0
28 Mar 2023
123
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