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

282 papers, page 4 of 6

151. NeurIPS 2025Zero-shot World Models via Search in Memory
152. NeurIPS 2025ZeroS: Zero‑Sum Linear Attention for Efficient Transformers
153. NeurIPS 2025ZeroSep: Separate Anything in Audio with Zero Training
154. NeurIPS 2025ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data
155. NeurIPS 2024$\textit{NeuroPath}$: A Neural Pathway Transformer for Joining the Dots of Human Connectomes
156. NeurIPS 2024A Foundation Model for Zero-shot Logical Query Reasoning
157. NeurIPS 2024ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models
158. NeurIPS 2024An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning
159. NeurIPS 2024AutoMix: Automatically Mixing Language Models
160. NeurIPS 2024AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation
161. NeurIPS 2024BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation
162. NeurIPS 2024BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity
163. NeurIPS 2024Bridge the Modality and Capability Gaps in Vision-Language Model Selection
164. NeurIPS 2024Building a stable classifier with the inflated argmax
165. NeurIPS 2024Building Timeseries Dataset: Empowering Large-Scale Building Analytics
166. NeurIPS 2024Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
167. NeurIPS 2024Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification
168. NeurIPS 2024Classification Diffusion Models: Revitalizing Density Ratio Estimation
169. NeurIPS 2024Combining Observational Data and Language for Species Range Estimation
170. NeurIPS 2024Confidence Calibration of Classifiers with Many Classes
171. NeurIPS 2024Conformal Classification with Equalized Coverage for Adaptively Selected Groups
172. NeurIPS 2024Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
173. NeurIPS 2024CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations
174. NeurIPS 2024DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge
175. NeurIPS 2024Distributional Successor Features Enable Zero-Shot Policy Optimization
176. NeurIPS 2024Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models
177. NeurIPS 2024EEVR: A Dataset of Paired Physiological Signals and Textual Descriptions for Joint Emotion Representation Learning
178. NeurIPS 2024Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting
179. NeurIPS 2024EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models
180. NeurIPS 2024EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection
181. NeurIPS 2024Facilitating Multimodal Classification via Dynamically Learning Modality Gap
182. NeurIPS 2024Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification
183. NeurIPS 2024Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms
184. NeurIPS 2024Fast Rates for Bandit PAC Multiclass Classification
185. NeurIPS 2024Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark
186. NeurIPS 2024Foundation Inference Models for Markov Jump Processes
187. NeurIPS 2024GAMap: Zero-Shot Object Goal Navigation with Multi-Scale Geometric-Affordance Guidance
188. NeurIPS 2024GLBench: A Comprehensive Benchmark for Graph with Large Language Models
189. NeurIPS 2024Hierarchical Selective Classification
190. NeurIPS 2024How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval
191. NeurIPS 2024Implicit Bias of Mirror Flow on Separable Data
192. NeurIPS 2024Infusing Synthetic Data with Real-World Patterns for Zero-Shot Material State Segmentation
193. NeurIPS 2024Instance-adaptive Zero-shot Chain-of-Thought Prompting
194. NeurIPS 2024InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint
195. NeurIPS 2024Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge
196. NeurIPS 2024Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models
197. NeurIPS 2024Listenable Maps for Zero-Shot Audio Classifiers
198. NeurIPS 2024LLM-based Skill Diffusion for Zero-shot Policy Adaptation
199. NeurIPS 2024LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
200. NeurIPS 2024LRM-Zero: Training Large Reconstruction Models with Synthesized Data

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.