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

200 papers, page 4 of 4

151. ICLR 2023CrAM: A Compression-Aware Minimizer
152. ICLR 2023Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification
153. ICLR 2023Data-Free One-Shot Federated Learning Under Very High Statistical Heterogeneity
154. ICLR 2023DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training
155. ICLR 2023Decoupled Training for Long-Tailed Classification With Stochastic Representations
156. ICLR 2023Denoising Masked Autoencoders Help Robust Classification
157. ICLR 2023Dilated convolution with learnable spacings
158. ICLR 2023Does Zero-Shot Reinforcement Learning Exist?
159. ICLR 2023FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification
160. ICLR 2023Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
161. ICLR 2023Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
162. ICLR 2023Human-Guided Fair Classification for Natural Language Processing
163. ICLR 2023Improving Deep Regression with Ordinal Entropy
164. ICLR 2023Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
165. ICLR 2023Learning to Compose Soft Prompts for Compositional Zero-Shot Learning
166. ICLR 2023Learning Uncertainty for Unknown Domains with Zero-Target-Assumption
167. ICLR 2023Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased
168. ICLR 2023Masked Unsupervised Self-training for Label-free Image Classification
169. ICLR 2023MEDICAL IMAGE UNDERSTANDING WITH PRETRAINED VISION LANGUAGE MODELS: A COMPREHENSIVE STUDY
170. ICLR 2023Multi-lingual Evaluation of Code Generation Models
171. ICLR 2023Mutual Partial Label Learning with Competitive Label Noise
172. ICLR 2023NANSY++: Unified Voice Synthesis with Neural Analysis and Synthesis
173. ICLR 2023Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning
174. ICLR 2023Neural-based classification rule learning for sequential data
175. ICLR 2023Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization
176. ICLR 2023On the Soft-Subnetwork for Few-Shot Class Incremental Learning
177. ICLR 2023OTOv2: Automatic, Generic, User-Friendly
178. ICLR 2023Out-of-distribution Representation Learning for Time Series Classification
179. ICLR 2023Parallel Deep Neural Networks Have Zero Duality Gap
180. ICLR 2023PEER: A Collaborative Language Model
181. ICLR 2023Programmatically Grounded, Compositionally Generalizable Robotic Manipulation
182. ICLR 2023Prototypical Calibration for Few-shot Learning of Language Models
183. ICLR 2023Relative representations enable zero-shot latent space communication
184. ICLR 2023Selective Annotation Makes Language Models Better Few-Shot Learners
185. ICLR 2023Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning
186. ICLR 2023Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
187. ICLR 2023Strategic Classification with Graph Neural Networks
188. ICLR 2023TabCaps: A Capsule Neural Network for Tabular Data Classification with BoW Routing
189. ICLR 2023TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second
190. ICLR 2023TempCLR: Temporal Alignment Representation with Contrastive Learning
191. ICLR 2023Towards Addressing Label Skews in One-Shot Federated Learning
192. ICLR 2023Towards Better Selective Classification
193. ICLR 2023UL2: Unifying Language Learning Paradigms
194. ICLR 2023Understanding Zero-shot Adversarial Robustness for Large-Scale Models
195. ICLR 2023Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
196. ICLR 2023Visual Classification via Description from Large Language Models
197. ICLR 2023Visual Recognition with Deep Nearest Centroids
198. ICLR 2023Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning
199. ICLR 2023Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
200. ICLR 2023ZiCo: Zero-shot NAS via inverse Coefficient of Variation on Gradients

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.