Zero-Shot Classification papers, 2023–2026

Key findings

• Zero-Shot Classification went from 203 papers in 2023 to 257 in 2026, roughly 1.3x in three years.
• CVPR publishes the most Zero-Shot Classification work: 318 papers from 2023 to 2026, 32% of the four-venue total.
• The fastest-growing overlap is with Reinforcement Learning: papers tagged with both rose from 7 in 2023 to 22 in 2026.
• Among the 5 topics under Open-Vocabulary Vision, it ranks #1 by 2026 paper count; the fastest grower in the group, Visual Grounding, is up 4.3x versus 1.3x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Minimal Interpretable Architecture for Zero-Shot Reconstruction of Dynamical Systems
• ICML 2026Beyond Rational Illusion: Behaviorally Realistic Strategic Classification
• ICLR 2026Boomerang Distillation Enables Zero-Shot Model Size Interpolation
• CVPR 2026AG-VAS Anchor-Guided Zero-Shot Visual Anomaly Segmentation with Large Multimodal Models
• NeurIPS 2025\(\varepsilon\)-Optimally Solving Two-Player Zero-Sum POSGs
• ICML 2025A Classification View on Meta Learning Bandits
• ICLR 2025Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification
• CVPR 2025AA-CLIP: Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP
• NeurIPS 2024BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity
• ICML 2024Agent Instructs Large Language Models to be General Zero-Shot Reasoners
• ICLR 2024AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
• CVPR 2024Depth-aware Test-Time Training for Zero-shot Video Object Segmentation
• NeurIPS 2023Black-box Backdoor Defense via Zero-shot Image Purification
• ICML 2023A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models
• ICLR 2023Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models
• CVPR 2023(ML)$^2$P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning
• NeurIPS 2026Align3D-AD: Cross-Modal Feature Alignment and Dual-Prompt Learning for Zero-shot 3D Anomaly Detection
• ICML 2026Calibrating Uncertainty for Zero-Shot Adversarial CLIP
• ICLR 2026Decoupling Primitive with Experts: Dynamic Feature Alignment for Compositional Zero-Shot Learning
• CVPR 2026DLVP-CLIP Enhancing Fine-Grained Zero-Shot Anomaly Detection via Dynamic Local Visual

All Zero-Shot Classification papers

203 papers, page 2 of 5

51. CVPR 2023Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners
52. CVPR 2023Rethinking the Correlation in Few-Shot Segmentation: A Buoys View
53. CVPR 2023Revisiting Prototypical Network for Cross Domain Few-Shot Learning
54. CVPR 2023Robust 3D Shape Classification via Non-Local Graph Attention Network
55. CVPR 2023Semantic Prompt for Few-Shot Image Recognition
56. CVPR 2023Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation
57. CVPR 2023StyleRF: Zero-Shot 3D Style Transfer of Neural Radiance Fields
58. CVPR 2023Supervised Masked Knowledge Distillation for Few-Shot Transformers
59. CVPR 2023Thermal Spread Functions (TSF): Physics-Guided Material Classification
60. CVPR 2023ViewNet: A Novel Projection-Based Backbone With View Pooling for Few-Shot Point Cloud Classification
61. CVPR 2023Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images
62. CVPR 2023Weak-Shot Object Detection Through Mutual Knowledge Transfer
63. CVPR 2023WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
64. CVPR 2023ZBS: Zero-Shot Background Subtraction via Instance-Level Background Modeling and Foreground Selection
65. CVPR 2023ZegCLIP: Towards Adapting CLIP for Zero-Shot Semantic Segmentation
66. CVPR 2023Zero-Shot Dual-Lens Super-Resolution
67. CVPR 2023Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style
68. CVPR 2023Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning
69. CVPR 2023Zero-Shot Model Diagnosis
70. CVPR 2023Zero-Shot Noise2Noise: Efficient Image Denoising Without Any Data
71. CVPR 2023Zero-Shot Object Counting
72. CVPR 2023Zero-Shot Pose Transfer for Unrigged Stylized 3D Characters
73. CVPR 2023Zero-Shot Referring Image Segmentation With Global-Local Context Features
74. CVPR 2023Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation
75. ICLR 2023Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models
76. ICLR 2023Bidirectional Language Models Are Also Few-shot Learners
77. ICLR 2023Composing Ensembles of Pre-trained Models via Iterative Consensus
78. ICLR 2023Constraining Representations Yields Models That Know What They Don't Know
79. ICLR 2023Contrastive Meta-Learning for Partially Observable Few-Shot Learning
80. ICLR 2023CrAM: A Compression-Aware Minimizer
81. ICLR 2023Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification
82. ICLR 2023Data-Free One-Shot Federated Learning Under Very High Statistical Heterogeneity
83. ICLR 2023DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training
84. ICLR 2023Decoupled Training for Long-Tailed Classification With Stochastic Representations
85. ICLR 2023Denoising Masked Autoencoders Help Robust Classification
86. ICLR 2023Dilated convolution with learnable spacings
87. ICLR 2023Does Zero-Shot Reinforcement Learning Exist?
88. ICLR 2023FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification
89. ICLR 2023Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
90. ICLR 2023Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
91. ICLR 2023Human-Guided Fair Classification for Natural Language Processing
92. ICLR 2023Improving Deep Regression with Ordinal Entropy
93. ICLR 2023Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
94. ICLR 2023Learning to Compose Soft Prompts for Compositional Zero-Shot Learning
95. ICLR 2023Learning Uncertainty for Unknown Domains with Zero-Target-Assumption
96. ICLR 2023Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased
97. ICLR 2023Masked Unsupervised Self-training for Label-free Image Classification
98. ICLR 2023MEDICAL IMAGE UNDERSTANDING WITH PRETRAINED VISION LANGUAGE MODELS: A COMPREHENSIVE STUDY
99. ICLR 2023Multi-lingual Evaluation of Code Generation Models
100. ICLR 2023Mutual Partial Label Learning with Competitive Label Noise

FAQ

How many Zero-Shot Classification papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

992 in total: 203 in 2023, 262 in 2024, 270 in 2025, 257 in 2026.

How many Zero-Shot Classification papers are at NeurIPS 2026?

NeurIPS 2026 has 68 Zero-Shot Classification papers, versus 86 the year before.

How many Zero-Shot Classification papers are at ICLR 2026?

ICLR 2026 has 44 Zero-Shot Classification papers, versus 56 the year before.

How many Zero-Shot Classification papers are at ICML 2026?

ICML 2026 has 64 Zero-Shot Classification papers, versus 49 the year before.

How many Zero-Shot Classification papers are at CVPR 2026?

CVPR 2026 has 81 Zero-Shot Classification papers, versus 79 the year before.

Which conference publishes the most Zero-Shot Classification papers?

CVPR, with 318 papers from 2023 to 2026.