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Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad
  and the Ugly

Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly

3 July 2017
Yongqin Xian
Christoph H. Lampert
Bernt Schiele
Zeynep Akata
    VLM
ArXivPDFHTML

Papers citing "Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly"

50 / 256 papers shown
Title
GenZSL: Generative Zero-Shot Learning Via Inductive Variational Autoencoder
GenZSL: Generative Zero-Shot Learning Via Inductive Variational Autoencoder
Shiming Chen
Dingjie Fu
Salman Khan
Fahad Shahbaz Khan
VLM
25
0
0
17 May 2025
Interpretable Zero-shot Learning with Infinite Class Concepts
Interpretable Zero-shot Learning with Infinite Class Concepts
Zihan Ye
Shreyank N Gowda
Shiming Chen
Yaochu Jin
Kaizhu Huang
Xiaobo Jin
VLM
39
0
0
06 May 2025
Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization
Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization
Emiliano Penaloza
Tianyue H. Zhan
Laurent Charlin
Mateo Espinosa Zarlenga
51
0
0
25 Apr 2025
Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts
Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts
M. Zarlenga
Gabriele Dominici
Pietro Barbiero
Z. Shams
M. Jamnik
KELM
221
0
0
24 Apr 2025
Visual and Semantic Prompt Collaboration for Generalized Zero-Shot Learning
Visual and Semantic Prompt Collaboration for Generalized Zero-Shot Learning
Huajie Jiang
ZeLin Li
Xiaohan Yu
Yongli Hu
Baocai Yin
Jian Yang
Yuankai Qi
VLM
49
0
0
29 Mar 2025
A Zero-shot Learning Method Based on Large Language Models for Multi-modal Knowledge Graph Embedding
A Zero-shot Learning Method Based on Large Language Models for Multi-modal Knowledge Graph Embedding
Bingchen Liu
Jingchen Li
Naixing Xu
X. Li
36
0
0
10 Mar 2025
FilterRAG: Zero-Shot Informed Retrieval-Augmented Generation to Mitigate Hallucinations in VQA
FilterRAG: Zero-Shot Informed Retrieval-Augmented Generation to Mitigate Hallucinations in VQA
S M Sarwar
82
1
0
25 Feb 2025
Towards Robust and Reliable Concept Representations: Reliability-Enhanced Concept Embedding Model
Towards Robust and Reliable Concept Representations: Reliability-Enhanced Concept Embedding Model
Yuxuan Cai
Xinbing Wang
Satoshi Tsutsui
Winnie Pang
Bihan Wen
65
0
0
03 Feb 2025
On the Robustness of LDP Protocols for Numerical Attributes under Data Poisoning Attacks
On the Robustness of LDP Protocols for Numerical Attributes under Data Poisoning Attacks
Xiaoguang Li
Zitao Li
Ninghui Li
Wenhai Sun
AAML
95
3
0
28 Jan 2025
TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning
TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning
Miaoge Li
Jingcai Guo
Richard Yi Da Xu
Dongsheng Wang
Xiaofeng Cao
Zhijie Rao
Song Guo
CoGe
89
3
0
28 Jan 2025
Enhancing Patient-Centric Communication: Leveraging LLMs to Simulate Patient Perspectives
Enhancing Patient-Centric Communication: Leveraging LLMs to Simulate Patient Perspectives
Xinyao Ma
Rui Zhu
Zihao Wang
Jingwei Xiong
Qingyu Chen
Haixu Tang
L. Jean Camp
Lucila Ohno-Machado
LM&MA
46
0
0
12 Jan 2025
Dr. Tongue: Sign-Oriented Multi-label Detection for Remote Tongue Diagnosis
Dr. Tongue: Sign-Oriented Multi-label Detection for Remote Tongue Diagnosis
Yiliang Chen
Steven SC Ho
Cheng Xu
Yao Jie Xie
Wing-Fai Yeung
Shengfeng He
Jing Qin
LM&MA
30
0
0
06 Jan 2025
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
Xin-Chao Xu
Yi Qin
Lu Mi
Hao Wang
Xuelong Li
79
9
0
03 Jan 2025
CAT: Concept-level backdoor ATtacks for Concept Bottleneck Models
CAT: Concept-level backdoor ATtacks for Concept Bottleneck Models
Songning Lai
Jiayu Yang
Yu Huang
Lijie Hu
Tianlang Xue
Zhangyi Hu
Jiaxu Li
Haicheng Liao
Yutao Yue
34
1
0
07 Oct 2024
EQ-CBM: A Probabilistic Concept Bottleneck with Energy-based Models and
  Quantized Vectors
EQ-CBM: A Probabilistic Concept Bottleneck with Energy-based Models and Quantized Vectors
Sangwon Kim
Dasom Ahn
B. Ko
In-su Jang
Kwang-Ju Kim
33
4
0
22 Sep 2024
Recent Advances in OOD Detection: Problems and Approaches
Recent Advances in OOD Detection: Problems and Approaches
Shuo Lu
YingSheng Wang
Lijun Sheng
Aihua Zheng
Lingxiao He
Jian Liang
OODD
68
3
0
18 Sep 2024
RevCD -- Reversed Conditional Diffusion for Generalized Zero-Shot Learning
RevCD -- Reversed Conditional Diffusion for Generalized Zero-Shot Learning
William Heyden
Habib Ullah
M. Salman Siddiqui
Fadi Al Machot
DiffM
36
0
0
31 Aug 2024
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition
Chen Hu
Hanchi Ren
Jingjing Deng
Xianghua Xie
Xiaoke Ma
FedML
71
0
0
30 Aug 2024
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
Asifullah Khan
A. Sohail
M. Fiaz
Mehdi Hassan
Tariq Habib Afridi
...
Muhammad Zaigham Zaheer
Kamran Ali
Tangina Sultana
Ziaurrehman Tanoli
Naeem Akhter
45
3
0
30 Aug 2024
Large Language Models for Cyber Security: A Systematic Literature Review
Large Language Models for Cyber Security: A Systematic Literature Review
HanXiang Xu
Shenao Wang
Ningke Li
Kaidi Wang
Yanjie Zhao
Kai Chen
Ting Yu
Yang Liu
Haoyu Wang
42
23
0
08 May 2024
Improving Intervention Efficacy via Concept Realignment in Concept
  Bottleneck Models
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models
Nishad Singhi
Jae Myung Kim
Karsten Roth
Zeynep Akata
50
1
0
02 May 2024
A separability-based approach to quantifying generalization: which layer
  is best?
A separability-based approach to quantifying generalization: which layer is best?
Luciano Dyballa
Evan Gerritz
Steven W. Zucker
OOD
39
3
0
02 May 2024
CREST: Cross-modal Resonance through Evidential Deep Learning for
  Enhanced Zero-Shot Learning
CREST: Cross-modal Resonance through Evidential Deep Learning for Enhanced Zero-Shot Learning
Haojian Huang
Xiaozhen Qiao
Zhuo Chen
Haodong Chen
Bingyu Li
Zhe Sun
Mulin. Chen
Xuelong Li
34
10
0
15 Apr 2024
Audio-Visual Generalized Zero-Shot Learning using Pre-Trained Large
  Multi-Modal Models
Audio-Visual Generalized Zero-Shot Learning using Pre-Trained Large Multi-Modal Models
David Kurzendörfer
Otniel-Bogdan Mercea
A. Sophia Koepke
Zeynep Akata
VLM
CLIP
33
2
0
09 Apr 2024
GPT-4 as Evaluator: Evaluating Large Language Models on Pest Management
  in Agriculture
GPT-4 as Evaluator: Evaluating Large Language Models on Pest Management in Agriculture
Shanglong Yang
Zhipeng Yuan
Shunbao Li
Ruoling Peng
Kang Liu
Po Yang
ELM
LM&MA
51
6
0
18 Mar 2024
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
Zheng Li
Xiang Li
Xinyi Fu
Xing Zhang
Weiqiang Wang
Shuo Chen
Jian Yang
VLM
42
35
0
05 Mar 2024
COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing
COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing
Yuqi Li
Qingqing Long
Yihang Zhou
Ran Zhang
Zhiyuan Ning
Zhihong Zhu
Yuanchun Zhou
Xuezhi Wang
Meng Xiao
VLM
54
3
0
26 Feb 2024
Zero-shot generalization across architectures for visual classification
Zero-shot generalization across architectures for visual classification
Evan Gerritz
Luciano Dyballa
Steven W. Zucker
34
1
0
21 Feb 2024
Synthesizing Knowledge-enhanced Features for Real-world Zero-shot Food
  Detection
Synthesizing Knowledge-enhanced Features for Real-world Zero-shot Food Detection
Pengfei Zhou
Weiqing Min
Jiajun Song
Yang Zhang
Shuqiang Jiang
35
10
0
14 Feb 2024
Deep Semantic-Visual Alignment for Zero-Shot Remote Sensing Image Scene
  Classification
Deep Semantic-Visual Alignment for Zero-Shot Remote Sensing Image Scene Classification
Wenjia Xu
Jiuniu Wang
Zhiwei Wei
M. Peng
Yirong Wu
35
10
0
03 Feb 2024
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
Sonia Laguna
Ricards Marcinkevics
Moritz Vandenhirtz
Julia E. Vogt
35
17
0
24 Jan 2024
SEER-ZSL: Semantic Encoder-Enhanced Representations for Generalized Zero-Shot Learning
SEER-ZSL: Semantic Encoder-Enhanced Representations for Generalized Zero-Shot Learning
William Heyden
Habib Ullah
M. Salman Siddiqui
Fadi Al Machot
VLM
41
0
0
20 Dec 2023
Zero-shot Building Attribute Extraction from Large-Scale Vision and
  Language Models
Zero-shot Building Attribute Extraction from Large-Scale Vision and Language Models
Fei Pan
Sangryul Jeon
Brian Wang
Frank Mckenna
Stella X. Yu
44
2
0
19 Dec 2023
Concept Distillation: Leveraging Human-Centered Explanations for Model
  Improvement
Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement
Avani Gupta
Saurabh Saini
P. J. Narayanan
33
6
0
26 Nov 2023
Attribute-Aware Deep Hashing with Self-Consistency for Large-Scale
  Fine-Grained Image Retrieval
Attribute-Aware Deep Hashing with Self-Consistency for Large-Scale Fine-Grained Image Retrieval
Xiu-Shen Wei
Yang Shen
Xuhao Sun
Peng Wang
Yuxin Peng
22
10
0
21 Nov 2023
Auxiliary Losses for Learning Generalizable Concept-based Models
Auxiliary Losses for Learning Generalizable Concept-based Models
Ivaxi Sheth
Samira Ebrahimi Kahou
32
25
0
18 Nov 2023
Analysis and Applications of Deep Learning with Finite Samples in Full
  Life-Cycle Intelligence of Nuclear Power Generation
Analysis and Applications of Deep Learning with Finite Samples in Full Life-Cycle Intelligence of Nuclear Power Generation
Chenwei Tang
Wenqiang Zhou
Dong Wang
Caiyang Yu
Zhenan He
...
Shudong Huang
Yi Gao
Jianming Chen
Wentao Feng
Jiancheng Lv
AI4CE
33
0
0
07 Nov 2023
OpenForest: A data catalogue for machine learning in forest monitoring
OpenForest: A data catalogue for machine learning in forest monitoring
Arthur Ouaknine
T. Kattenborn
Etienne Laliberté
David Rolnick
53
6
0
01 Nov 2023
Prompting Scientific Names for Zero-Shot Species Recognition
Prompting Scientific Names for Zero-Shot Species Recognition
Shubham Parashar
Zhiqiu Lin
Yanan Li
Shu Kong
VLM
23
12
0
15 Oct 2023
Surveying the Landscape of Text Summarization with Deep Learning: A
  Comprehensive Review
Surveying the Landscape of Text Summarization with Deep Learning: A Comprehensive Review
Guanghua Wang
Weili Wu
AI4TS
AILaw
38
3
0
13 Oct 2023
Zero-Shot Object Counting with Language-Vision Models
Zero-Shot Object Counting with Language-Vision Models
Jingyi Xu
Hieu M. Le
Dimitris Samaras
VLM
DiffM
35
4
0
22 Sep 2023
A Novel Neural-symbolic System under Statistical Relational Learning
A Novel Neural-symbolic System under Statistical Relational Learning
Dongran Yu
Xueyan Liu
Shirui Pan
Anchen Li
Bo Yang
AI4CE
NAI
14
1
0
16 Sep 2023
Towards General Game Representations: Decomposing Games Pixels into
  Content and Style
Towards General Game Representations: Decomposing Games Pixels into Content and Style
C. Trivedi
Konstantinos Makantasis
Antonios Liapis
Georgios N. Yannakakis
OCL
43
3
0
20 Jul 2023
Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in
  Open Worlds
Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open Worlds
Tianqi Li
Guansong Pang
Xiao Bai
Jingyi Zheng
Lei Zhou
Xin Ning
VLM
40
27
0
07 Jul 2023
An Adaptive Method for Weak Supervision with Drifting Data
An Adaptive Method for Weak Supervision with Drifting Data
Alessio Mazzetto
Reza Esfandiarpoor
E. Upfal
Stephen H. Bach
Stephen H. Bach
70
1
0
02 Jun 2023
CVB: A Video Dataset of Cattle Visual Behaviors
CVB: A Video Dataset of Cattle Visual Behaviors
Ali Zia
Renuka Sharma
Reza Arablouei
G. Bishop-Hurley
Jody McNally
N. Bagnall
V. Rolland
Brano Kusy
L. Petersson
A. Ingham
34
2
0
26 May 2023
In-Context Impersonation Reveals Large Language Models' Strengths and
  Biases
In-Context Impersonation Reveals Large Language Models' Strengths and Biases
Leonard Salewski
Stephan Alaniz
Isabel Rio-Torto
Eric Schulz
Zeynep Akata
44
151
0
24 May 2023
COLA: A Benchmark for Compositional Text-to-image Retrieval
COLA: A Benchmark for Compositional Text-to-image Retrieval
Arijit Ray
Filip Radenovic
Abhimanyu Dubey
Bryan A. Plummer
Ranjay Krishna
Kate Saenko
CoGe
VLM
41
34
0
05 May 2023
From Zero to Hero: Harnessing Transformers for Biomedical Named Entity
  Recognition in Zero- and Few-shot Contexts
From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot Contexts
Milos Kosprdic
Nikola Prodanović
Adela Ljajić
Bojana Bašaragin
Nikola Milosevic
MedIm
23
5
0
05 May 2023
SAM vs BET: A Comparative Study for Brain Extraction and Segmentation of
  Magnetic Resonance Images using Deep Learning
SAM vs BET: A Comparative Study for Brain Extraction and Segmentation of Magnetic Resonance Images using Deep Learning
Sovesh Mohapatra
Advait Gosai
G. Schlaug
28
32
0
10 Apr 2023
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