Zero-Shot Learning

CVPR 2024arXiv:2401.02460

#2

Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions

Oindrila Saha, Grant Horn, Subhransu Maji

vision-language modelszero-shot classificationlarge language modelsfine-grained image classification+3

65

ICML 2024arXiv:2402.15567

#3

Foundation Policies with Hilbert Representations

Seohong Park, Tobias Kreiman, Sergey Levine

unsupervised pre-trainingreinforcement learning policiesoffline datazero-shot adaptation+4

59

ICLR 2024arXiv:2402.00351

#4

Machine Unlearning for Image-to-Image Generative Models

Guihong Li, Hsiang Hsu, Chun-Fu Chen et al.

50

ECCV 2024arXiv:2409.15875

#5

Zero-Shot Detection of AI-Generated Images

Davide Cozzolino, GIovanni Poggi, Matthias Niessner et al.

44

CVPR 2024arXiv:2404.07713

#6

Progressive Semantic-Guided Vision Transformer for Zero-Shot Learning

Shiming Chen, Wenjin Hou, Salman Khan et al.

zero-shot learningvision transformervisual-semantic interactionsemantic-guided attention+2

36

CVPR 2024arXiv:2405.18437

#7

Transductive Zero-Shot and Few-Shot CLIP

Ségolène Martin, Yunshi HUANG, Fereshteh Shakeri et al.

transductive inferencezero-shot classificationfew-shot classificationvision-language models+4

32

CVPR 2024arXiv:2402.18853

#8

Rethinking Multi-domain Generalization with A General Learning Objective

Zhaorui Tan, Xi Yang, Kaizhu Huang

30

CVPR 2024arXiv:2404.14808

#9

Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning

Wenjin Hou, Shiming Chen, Shuhuang Chen et al.

29

ICLR 2024arXiv:2309.04344

#10

Zero-Shot Robustification of Zero-Shot Models

Dyah Adila, Changho Shin, Linrong Cai et al.

28

CVPR 2025arXiv:2502.07601

#11

Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models

Jiacong Xu, Shao-Yuan Lo, Bardia Safaei et al.

27

ECCV 2024arXiv:2408.13320

#12

Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning

Chenchen Jing, Yukun Li, Hao Chen et al.

Online Zero-Shot Classification with CLIP

Qi Qian, JUHUA HU

zero-shot classificationvision-language pre-trainingonline transfer learningmodality gap mitigation+3

22

ECCV 2024arXiv:2404.12922

#14

Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images

Jacopo Bonato, Marco Cotogni, Luigi Sabetta

machine unlearningapproximate unlearningknowledge distillationout-of-distribution images+4

21

ECCV 2024arXiv:2407.03056

#15

Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation

Marco Mistretta, Alberto Baldrati, Marco Bertini et al.

vision-language modelszero-shot generalizationprompt learningunsupervised knowledge distillation+3

20

AAAI 2024arXiv:2312.15923

#16

Revealing the Proximate Long-Tail Distribution in Compositional Zero-Shot Learning

Chenyi Jiang, Haofeng Zhang

compositional zero-shot learninglong-tailed distributionclass imbalance problemvisual bias+2

16

AAAI 2024arXiv:2312.05538

#17

CSL: Class-Agnostic Structure-Constrained Learning for Segmentation including the Unseen

Hao Zhang, Fang Li, Lu Qi et al.

out-of-distribution segmentationzero-shot semantic segmentationdomain adaptation segmentationclass-agnostic segmentation+4

16

AAAI 2024arXiv:2402.11424

#18

Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognition

Yijie Wang, Mingjian Hong, Luwen Huangfu et al.

15

AAAI 2024arXiv:2401.15657

#19

Data-Free Generalized Zero-Shot Learning

Bowen Tang, Jing Zhang, Yan Long et al.

zero-shot learningdata-free learningclip modelfeature-language alignment+4

15

ICML 2024arXiv:2406.07236

#20

Let Go of Your Labels with Unsupervised Transfer

Artyom Gadetsky, Yulun Jiang, Maria Brbic

unsupervised transferzero-shot transferfoundation modelsvision-language models+3

14

AAAI 2025arXiv:2408.12469

#21

Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning

Mushui Liu, Fangtai Wu, Bozheng Li et al.

few-shot learningclass entity reasoninglarge language modelssemantic-guided visual extraction+3

13

CVPR 2024arXiv:2402.17562

#22

An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains

George Eskandar

3d object detectionlidar sensorsdomain generalizationtransformer backbones+4

13

ICCV 2025arXiv:2211.13723

#23

Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective

Hoang Phan, Tung Lam Tran, Quyen Tran et al.

13

CVPR 2024arXiv:2403.04492

#24

Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning

Rashindrie Perera, Saman Halgamuge

12

CVPR 2025arXiv:2503.23751

#25

Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks

Yu Zhou, Dian Zheng, Qijie Mo et al.

12

AAAI 2024arXiv:2312.08898

#26

Detection and Defense of Unlearnable Examples

Yifan Zhu, lijia Yu, Xiao-Shan Gao

10

AAAI 2025arXiv:2412.12798

#27

ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation

Shiqi Huang, Shuting He, Bihan Wen

10

ECCV 2024arXiv:2407.13095

#28

Symmetric Self-Paced Learning for Domain Generalization

Di Zhao, Yun Sing Koh, Gillian Dobbie et al.

Audio-visual Generalized Zero-shot Learning the Easy Way

Shentong Mo, Pedro Morgado

audio-visual learninggeneralized zero-shot learningcross-modal alignmentcontrastive learning+4

8

AAAI 2024arXiv:2312.11260

#30

Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning

YongJin Yang, Taehyeon Kim, Se-Young Yun

cross-domain few-shot learningnormalization layer adaptersprogressive learningadaptive distillation+4

8

composed image retrievalvision-language taskgenerative methodcomposed image generation+4

#31

Generative Zero-Shot Composed Image Retrieval

Lan Wang, Wei Ao, Vishnu Naresh Boddeti et al.

CVPR 2025

8

zero-shot generalizationvision-language modelsadapter tuningprompt learning+4

#32

Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners

Junhao Dong, Piotr Koniusz, Junxi Chen et al.

A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning

Xiaoming Hu, Zilei Wang

Improving Zero-Shot Generalization for CLIP with Variational Adapter

Ziqian Lu, Fengli Shen, Mushui Liu et al.

ECCV 2024

7

AAAI 2024arXiv:2404.00603

#35

Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning

Kun Ding, Haojian Zhang, Qiang Yu et al.

vision-language modelsprompt tuningout-of-distribution detectionfew-shot learning+3

7

AAAI 2024arXiv:2405.03565

#36

Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor

Han Liu, Siyang Zhao, Xiaotong Zhang et al.

few-shot text classificationzero-shot text classificationpre-trained language modelspseudo sample generation+4

7

ICCV 2025arXiv:2507.15542

#37

Out-of-Variable Generalisation for Discriminative Models

Siyuan Guo, Jonas Wildberger, Bernhard Schoelkopf

HOLa: Zero-Shot HOI Detection with Low-Rank Decomposed VLM Feature Adaptation

Qinqian Lei, Bo Wang, Robby Tan

AAAI 2025arXiv:2408.12253

#39

Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning

Ziming Liu, Jingcai Guo, Song Guo et al.

ICCV 2025arXiv:2503.08510

#40

External Knowledge Injection for CLIP-Based Class-Incremental Learning

Da-Wei Zhou, Kai-Wen Li, Jingyi Ning et al.

CVPR 2025arXiv:2505.16778

#41

Single Domain Generalization for Few-Shot Counting via Universal Representation Matching

Xianing Chen, Si Huo, Borui Jiang et al.

few-shot countingsingle domain generalizationvision-language representationscorrelation map construction+3

ECCV 2024arXiv:2404.18459

#42

On the Zero-shot Adversarial Robustness of Vision-Language Models: A Truly Zero-shot and Training-free Approach

Baoshun Tong, Hanjiang Lai, Yan Pan et al.

Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild

Donggyun Kim, Seongwoong Cho, Semin Kim et al.

dense visual predictionlow-shot learningmeta-learning frameworkuniversal model adaptation+4

ICML 2024arXiv:2311.14886

#44

A Unified Framework for Learning with Nonlinear Model Classes from Arbitrary Linear Samples

Ben Adcock, Juan Cardenas, Nick Dexter

nonlinear model classeslinear measurementshilbert spacesgeneralization bounds+4

ICCV 2025arXiv:2502.20158

#45

Learning to Generalize without Bias for Open-Vocabulary Action Recognition

Yating Yu, Congqi Cao, Yifan Zhang et al.

open-vocabulary action recognitionvisual-text alignmentstatic bias debiasingmeta-learning framework+3

ICML 2025arXiv:2410.08751

#46

Zero-Shot Offline Imitation Learning via Optimal Transport

Thomas Rupf, Marco Bagatella, Nico Gürtler et al.

CVPR 2025arXiv:2506.08005

#47

ZeroVO: Visual Odometry with Minimal Assumptions

Lei Lai, Zekai Yin, Eshed Ohn-Bar

AAAI 2025arXiv:2412.15835

#48

Scaling Few-Shot Learning for the Open World

Zhipeng Lin, Wenjing Yang, Haotian Wang et al.

Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer

Xinyue Chen, Miaojing Shi, Zijian Zhou et al.

semantic segmentationfew-shot learningknowledge transferprototype modulation+3

AAAI 2024arXiv:2312.13495

#50

Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling

Jie Han, Yixiong Zou, Haozhao Wang et al.

CVPR 2025arXiv:2508.15127

#51

Towards Source-Free Machine Unlearning

Sk Miraj Ahmed, Umit Basaran, Dripta S. Raychaudhuri et al.

machine unlearningsource-free learninghessian estimationdata privacy+2

ICML 2025arXiv:2505.24190

#52

Provably Improving Generalization of Few-shot models with Synthetic Data

Lan-Cuong Nguyen, Quan Nguyen-Tri, Bang Khanh et al.

ICML 2025arXiv:2410.07441

#53

Zero Shot Generalization of Vision-Based RL Without Data Augmentation

Sumeet Batra, Gaurav Sukhatme

ICCV 2025arXiv:2503.07082

#54

On the Generalization of Representation Uncertainty in Earth Observation

Spyros Kondylatos, Nikolaos Ioannis Bountos, Dimitrios Michail et al.

ICML 2025arXiv:2505.11882

#55

GenZSL: Generative Zero-Shot Learning Via Inductive Variational Autoencoder

Shiming Chen, Dingjie Fu, Salman Khan et al.

2

ICML 2025arXiv:2412.18525

#56

Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot Generalization

Yang Shen, Xiu-Shen Wei, Yifan Sun et al.

2

ICLR 2025arXiv:2406.02929

#57

SEC-Prompt:SEmantic Complementary Prompting for Few-Shot Class-Incremental Learning

Ye Liu, Meng Yang

Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline

Zekai Zhang, Qinghui Chen, Maomao Xiong et al.

DZAD: Diffusion-based Zero-shot Anomaly Detection

Tianrui Zhang, Liang Gao, Xinyu Li et al.

ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning

Zihan Ye, Shreyank Gowda, Shiming Chen et al.

2

CVPR 2025arXiv:2503.23030

#61

Visual and Semantic Prompt Collaboration for Generalized Zero-Shot Learning

Huajie Jiang, Zhengxian Li, Xiaohan Yu et al.

zero-shot learningvisual-semantic alignmentprompt tuninggeneralized zero-shot learning+4

NEURIPS 2025arXiv:2506.03195

#62

Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs

Yunqi Hong, Sohyun An, Andrew Bai et al.

zero-shot classificationmultimodal large language modelsfine-grained image classificationself-supervised prompt learning+2

ICCV 2025arXiv:2411.18651

#63

Class Semantic Attribute Perception Guided Zero-Shot Learning

Qin Yue, Junbiao Cui, Jianqing Liang et al.

Verbalized Representation Learning for Interpretable Few-Shot Generalization

Cheng-Fu Yang, Da Yin, Wenbo Hu et al.

vision-language modelsfew-shot learningverbalized representation learninginterpretable features+3

ICCV 2025arXiv:2507.17377

#65

A Conditional Probability Framework for Compositional Zero-shot Learning

Peng Wu, Qiuxia Lai, Hao Fang et al.

compositional zero-shot learningconditional probability frameworkattribute-object dependenciescross-attention mechanism+3

NEURIPS 2025arXiv:2601.22359

#66

The Unseen Threat: Residual Knowledge in Machine Unlearning under Perturbed Samples

Hsiang Hsu, Pradeep Niroula, Zichang He et al.

CVPR 2025arXiv:2506.03117

#67

Targeted Forgetting of Image Subgroups in CLIP Models

Zeliang Zhang, Gaowen Liu, Charles Fleming et al.

AAAI 2025arXiv:2501.05728

#68

Super-Class Guided Transformer for Zero-Shot Attribute Classification

Sehyung Kim, Chanhyeong Yang, Jihwan Park et al.

CVPR 2025arXiv:2412.16739

#69

Zero-Shot Task Adaptation with Relevant Feature Information

Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara

UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning

Long Zhou, Fereshteh Shakeri, Aymen Sadraoui et al.

NEURIPS 2025arXiv:2510.04770

#71

Beyond the Seen: Bounded Distribution Estimation for Open-Vocabulary Learning

Xiaomeng Fan, Yuchuan Mao, Zhi Gao et al.

open-vocabulary learningdistribution estimationunseen-class data generationhierarchical semantic tree+2

ICML 2025arXiv:2503.07988

#72

Provable Zero-Shot Generalization in Offline Reinforcement Learning

Zhiyong Wang, Chen Yang, John C. S. Lui et al.

unsupervised reinforcement learningzero-shot generalizationsuccessor measuresforward-backward representation+4

#73

Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation

Jingbo Sun, Songjun Tu, Qichao Zhang et al.

ICLR 2025

ICML 2025arXiv:2507.09128

#74

Language-Driven Multi-Label Zero-Shot Learning with Semantic Granularity

Shouwen Wang, Qian Wan, Junbin Gao et al.

Exploring Base-Class Suppression with Prior Guidance for Bias-Free One-Shot Object Detection

Wenwen Zhang, Yun Hu, Hangguan Shan et al.

A Generalization Theory for Zero-Shot Prediction

Ronak Mehta, Zaid Harchaoui

few-shot segmentationpoint cloud segmentation3d scene understandingbackground context modeling+4

#77

Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names

Yapeng Li, Yong Luo, Zengmao Wang et al.

Pseudo-Embedding for Generalized Few-Shot Point Cloud Segmentation

Chih-Jung Tsai, Hwann-Tzong Chen, Tyng-Luh Liu

ECCV 2024

AAAI 2025arXiv:2501.02831

#79

Universal Features Guided Zero-Shot Category-Level Object Pose Estimation

Wentian Qu, Chenyu Meng, Heng Li et al.

zero-shot learningobject pose estimation6-dof pose estimationcategory-level recognition+4

vision-language modelszero-shot recognitionmulti-label classificationcross-modal transfer+4

#80

Discovering a Zero (Zero-Vector Class of Machine Learning)

Harikrishna Metta, Venkatesh Babu Radhakrishnan

ImagineFSL: Self-Supervised Pretraining Matters on Imagined Base Set for VLM-based Few-shot Learning

Haoyuan Yang, Xiaoou Li, Jiaming Lv et al.

Unknown Text Learning for CLIP-based Few-Shot Open-set Recognition

Rui Ma, Qilong Wang, Bing Cao et al.

Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition

Yicheng Liu, Jie Wen, Chengliang Liu et al.

ICML 2024

NEURIPS 2025arXiv:2510.26466

#84

Not All Wrong is Bad: Using Adversarial Examples for Unlearning

Ali Ebrahimpour-Boroojeny, Hari Sundaram, Varun Chandrasekaran

Think Twice: Test-Time Reasoning for Robust CLIP Zero-Shot Classification

Shenyu Lu, Zhaoying Pan, Xiaoqian Wang

Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective

Subhodip Panda, Shashwat Sourav, Prathosh A.P.

Representation-Level Counterfactual Calibration for Debiased Zero-Shot Recognition

Pei Peng, Ming-Kun Xie, Hang Hao et al.

ICCV 2025arXiv:2509.13185

#88

Gain from Neighbors: Boosting Model Robustness in the Wild via Adversarial Perturbations Toward Neighboring Classes

Zhou Yang, Mingtao Feng, Tao Huang et al.

Spectral Prompt Tuning: Unveiling Unseen Classes for Zero-Shot Semantic Segmentation

Wenhao Xu, Rongtao Xu, Changwei Wang et al.

Continual Learning and Unknown Object Discovery in 3D Scenes via Self-Distillation

Mohamed El Amine Boudjoghra, Jean Lahoud, Salman Khan et al.

LOGICZSL: Exploring Logic-induced Representation for Compositional Zero-shot Learning

Peng Wu, Xiankai Lu, Hao Hu et al.

Robustifying Zero-Shot Vision Language Models by Subspaces Alignment

Junhao Dong, Piotr Koniusz, Liaoyuan Feng et al.

Is Meta-Learning Out? Rethinking Unsupervised Few-Shot Classification with Limited Entropy

Yunchuan Guan, Yu Liu, Ke Zhou et al.

NEURIPS 2025arXiv:2510.08132

#94

Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization

Houcheng Su, Weihao Luo, Daixian Liu et al.

Approximate Domain Unlearning for Vision-Language Models

Kodai Kawamura, Yuta Goto, Rintaro Yanagi et al.

vision-language modelsdomain unlearningdomain generalizationfeature disentanglement+3

#96

Aligning and Prompting Anything for Zero-Shot Generalized Anomaly Detection

Jitao Ma, Weiying Xie, Hangyu Ye et al.

Generalized Zero-Shot Classification via Semantics-Free Inter-Class Feature Generation

Libiao Chen, Dong Nie, Junjun Pan et al.

Towards Effective Foundation Model Adaptation for Extreme Cross-Domain Few-Shot Learning

Fei Zhou, Peng Wang, Lei Zhang et al.

Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning

Da Wang, Lin Li, Wei Wei et al.

Generalization-Preserved Learning: Closing the Backdoor to Catastrophic Forgetting in Continual Deepfake Detection

Xueyi Zhang, Peiyin Zhu, Chengwei Zhang et al.

ICCV 2025