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

992 papers, page 19 of 20

901. ICLR 2023Relative representations enable zero-shot latent space communication
902. ICLR 2023Selective Annotation Makes Language Models Better Few-Shot Learners
903. ICLR 2023Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning
904. ICLR 2023Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
905. ICLR 2023Strategic Classification with Graph Neural Networks
906. ICLR 2023TabCaps: A Capsule Neural Network for Tabular Data Classification with BoW Routing
907. ICLR 2023TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second
908. ICLR 2023TempCLR: Temporal Alignment Representation with Contrastive Learning
909. ICLR 2023Towards Addressing Label Skews in One-Shot Federated Learning
910. ICLR 2023Towards Better Selective Classification
911. ICLR 2023UL2: Unifying Language Learning Paradigms
912. ICLR 2023Understanding Zero-shot Adversarial Robustness for Large-Scale Models
913. ICLR 2023Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
914. ICLR 2023Visual Classification via Description from Large Language Models
915. ICLR 2023Visual Recognition with Deep Nearest Centroids
916. ICLR 2023Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning
917. ICLR 2023Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
918. ICLR 2023ZiCo: Zero-shot NAS via inverse Coefficient of Variation on Gradients
919. ICML 2023A Closer Look at Few-shot Classification Again
920. ICML 2023A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models
921. ICML 2023A Universal Unbiased Method for Classification from Aggregate Observations
922. ICML 2023Abstracting Imperfect Information Away from Two-Player Zero-Sum Games
923. ICML 2023Adapting to game trees in zero-sum imperfect information games
924. ICML 2023Adversarial Policies Beat Superhuman Go AIs
925. ICML 2023Benign Overfitting in Deep Neural Networks under Lazy Training
926. ICML 2023CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
927. ICML 2023Computational Asymmetries in Robust Classification
928. ICML 2023Continual Learning in Linear Classification on Separable Data
929. ICML 2023Cooperative Open-ended Learning Framework for Zero-Shot Coordination
930. ICML 2023DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
931. ICML 2023Efficient Training of Language Models using Few-Shot Learning
932. ICML 2023ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation
933. ICML 2023Evolving Semantic Prototype Improves Generative Zero-Shot Learning
934. ICML 2023Interval Bound Interpolation for Few-shot Learning with Few Tasks
935. ICML 2023PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search
936. ICML 2023Probabilistic Imputation for Time-series Classification with Missing Data
937. ICML 2023PromptBoosting: Black-Box Text Classification with Ten Forward Passes
938. ICML 2023Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling
939. ICML 2023Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice
940. ICML 2023Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks
941. ICML 2023SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification
942. ICML 2023SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot
943. ICML 2023Strategic Classification with Unknown User Manipulations
944. ICML 2023The Computational Complexity of Concise Hypersphere Classification
945. ICML 2023The multimarginal optimal transport formulation of adversarial multiclass classification
946. ICML 2023Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
947. NeurIPS 2023A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence
948. NeurIPS 2023Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels
949. NeurIPS 2023ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition
950. NeurIPS 2023Automated Classification of Model Errors on ImageNet

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.