Domain Adaptation papers, 2023–2026

Key findings

• Domain Adaptation went from 174 papers in 2023 to 263 in 2026, roughly 1.5x in three years.
• CVPR publishes the most Domain Adaptation work: 268 papers from 2023 to 2026, 31% of the four-venue total.
• The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 7 in 2023 to 38 in 2026.
• Among the 5 topics under Meta-Learning and Transfer, it ranks #3 by 2026 paper count; the fastest grower in the group, Foundation Model Adaptation, is up 3.8x versus 1.5x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Dual-Domain Vision Transformer with Spectral Positional Bias
• ICML 2026Bayesian Meta-Learning with Expert Feedback for Task-Shift Adaptation through Causal Embeddings
• ICLR 2026Bayesian Evidence-Driven Prototype Evolution for Federated Domain Adaptation
• CVPR 2026Anatomical Domain Shifts Test-time Heterogeneous Adaptation for 3D Human Pose
• NeurIPS 20253DPE-Gaze:Unlocking the Potential of 3D Facial Priors for Generalized Gaze Estimation
• ICML 2025A General Representation-Based Approach to Multi-Source Domain Adaptation
• ICLR 2025Adaptive Energy Alignment for Accelerating Test-Time Adaptation
• CVPR 2025A4A: Adapter for Adapter Transfer via All-for-All Mapping for Cross-Architecture Models
• NeurIPS 2024A Cross-Domain Benchmark for Active Learning
• ICML 2024Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation
• ICLR 2024Adapting Large Language Models via Reading Comprehension
• CVPR 2024Day-Night Cross-domain Vehicle Re-identification
• NeurIPS 2023(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy
• ICML 2023In Search for a Generalizable Method for Source Free Domain Adaptation
• ICLR 2023Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
• CVPR 2023A New Benchmark: On the Utility of Synthetic Data With Blender for Bare Supervised Learning and Downstream Domain Adaptation
• NeurIPS 2026A unified pairwise distribution matching framework for graph domain adaptation under structure shift
• ICML 2026Content-Style Identification via Differential Independence
• ICLR 2026Beyond In-Domain Detection: SpikeScore for Cross-Domain Hallucination Detection
• CVPR 2026Bridge Basis-Driven Causal Inference Marries VFMs for Domain Generalization

All Domain Adaptation papers

866 papers, page 17 of 18

801. ICLR 2023Interpretations of Domain Adaptations via Layer Variational Analysis
802. ICLR 2023Learning Domain-Agnostic Representation for Disease Diagnosis
803. ICLR 2023Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment
804. ICLR 2023PGrad: Learning Principal Gradients For Domain Generalization
805. ICLR 2023Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer
806. ICLR 2023Provable Sim-to-real Transfer in Continuous Domain with Partial Observations
807. ICLR 2023SIMPLE: Specialized Model-Sample Matching for Domain Generalization
808. ICLR 2023Sparse Mixture-of-Experts are Domain Generalizable Learners
809. ICLR 2023Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
810. ICLR 2023Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks
811. ICLR 2023Test-Time Adaptation via Self-Training with Nearest Neighbor Information
812. ICLR 2023TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
813. ICLR 2023Using Language to Extend to Unseen Domains
814. ICLR 2023When Source-Free Domain Adaptation Meets Learning with Noisy Labels
815. ICML 2023Beyond In-Domain Scenarios: Robust Density-Aware Calibration
816. ICML 2023Distribution Free Domain Generalization
817. ICML 2023Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation
818. ICML 2023Domain Adaptation for Time Series Under Feature and Label Shifts
819. ICML 2023Double-Weighting for Covariate Shift Adaptation
820. ICML 2023Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions
821. ICML 2023In Search for a Generalizable Method for Source Free Domain Adaptation
822. ICML 2023InfoOT: Information Maximizing Optimal Transport
823. ICML 2023Leveraging Proxy of Training Data for Test-Time Adaptation
824. ICML 2023Moderately Distributional Exploration for Domain Generalization
825. ICML 2023On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation
826. ICML 2023RLSbench: Domain Adaptation Under Relaxed Label Shift
827. ICML 2023Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation
828. ICML 2023Structural Re-weighting Improves Graph Domain Adaptation
829. ICML 2023Target-Aware Generative Augmentations for Single-Shot Adaptation
830. ICML 2023Taxonomy-Structured Domain Adaptation
831. NeurIPS 2023(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy
832. NeurIPS 2023Adversarial Self-Training Improves Robustness and Generalization for Gradual Domain Adaptation
833. NeurIPS 2023Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation
834. NeurIPS 2023Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations
835. NeurIPS 2023Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs
836. NeurIPS 2023Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift
837. NeurIPS 2023Convolution Monge Mapping Normalization for learning on sleep data
838. NeurIPS 2023Convolutional Visual Prompt for Robust Visual Perception
839. NeurIPS 2023Cross-Domain Policy Adaptation via Value-Guided Data Filtering
840. NeurIPS 2023Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation
841. NeurIPS 2023Domain Re-Modulation for Few-Shot Generative Domain Adaptation
842. NeurIPS 2023DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining
843. NeurIPS 2023Eliminating Domain Bias for Federated Learning in Representation Space
844. NeurIPS 2023Equivariant Adaptation of Large Pretrained Models
845. NeurIPS 2023Extremal Domain Translation with Neural Optimal Transport
846. NeurIPS 2023Frequency Domain-Based Dataset Distillation
847. NeurIPS 2023Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data
848. NeurIPS 2023Improving Language Plasticity via Pretraining with Active Forgetting
849. NeurIPS 2023Learning Domain-Aware Detection Head with Prompt Tuning
850. NeurIPS 2023Learning List-Level Domain-Invariant Representations for Ranking

FAQ

How many Domain Adaptation papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

866 in total: 174 in 2023, 209 in 2024, 220 in 2025, 263 in 2026.

How many Domain Adaptation papers are at NeurIPS 2026?

NeurIPS 2026 has 78 Domain Adaptation papers, versus 81 the year before.

How many Domain Adaptation papers are at ICLR 2026?

ICLR 2026 has 46 Domain Adaptation papers, versus 45 the year before.

How many Domain Adaptation papers are at ICML 2026?

ICML 2026 has 69 Domain Adaptation papers, versus 48 the year before.

How many Domain Adaptation papers are at CVPR 2026?

CVPR 2026 has 70 Domain Adaptation papers, versus 46 the year before.

Which conference publishes the most Domain Adaptation papers?

CVPR, with 268 papers from 2023 to 2026.