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

81 papers, page 1 of 2

1. NeurIPS 20253DPE-Gaze:Unlocking the Potential of 3D Facial Priors for Generalized Gaze Estimation
2. NeurIPS 2025A Generalized Label Shift Perspective for Cross-Domain Gaze Estimation
3. NeurIPS 2025AltLoRA: Towards Better Gradient Approximation in Low-Rank Adaptation with Alternating Projections
4. NeurIPS 2025Automatic Visual Instrumental Variable Learning for Confounding-Resistant Domain Generalization
5. NeurIPS 2025Beyond Higher Rank: Token-wise Input-Output Projections for Efficient Low-Rank Adaptation
6. NeurIPS 2025Breakthrough Sensor-Limited Single View: Towards Implicit Temporal Dynamics for Time Series Domain Adaptation
7. NeurIPS 2025Buffer layers for Test-Time Adaptation
8. NeurIPS 2025Class-aware Domain Knowledge Fusion and Fission for Continual Test-Time Adaptation
9. NeurIPS 2025Continuous Domain Generalization
10. NeurIPS 2025Controlled Visual Hallucination via Thalamus-Driven Decoupling Network for Domain Adaptation of Black-Box Predictors
11. NeurIPS 2025Correlated Low-Rank Adaptation for ConvNets
12. NeurIPS 2025CroPe: Cross-Modal Semantic Compensation Adaptation for All Adverse Scene Understanding
13. NeurIPS 2025Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models
14. NeurIPS 2025Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning
15. NeurIPS 2025Decoupled Entropy Minimization
16. NeurIPS 2025Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation
17. NeurIPS 2025Domain Adaptive Hashing Retrieval via VLM Assisted Pseudo-Labeling and Dual Space Adaptation
18. NeurIPS 2025Domain-Specific Pruning of Large Mixture-of-Experts Models with Few-shot Demonstrations
19. NeurIPS 2025Dual Prototype-Enhanced Contrastive Framework for Class-Imbalanced Graph Domain Adaptation
20. NeurIPS 2025DUET: Dual-Perspective Pseudo Labeling and Uncertainty-aware Exploration & Exploitation Training for Source-Free Domain Adaptation
21. NeurIPS 2025ECO: Evolving Core Knowledge for Efficient Transfer
22. NeurIPS 2025Efficiently Maintaining the Multilingual Capacity of MCLIP in Downstream Cross-Modal Retrieval Tasks
23. NeurIPS 2025EgoBridge: Domain Adaptation for Generalizable Imitation from Egocentric Human Data
24. NeurIPS 2025Feature-Based Instance Neighbor Discovery: Advanced Stable Test-Time Adaptation in Dynamic World
25. NeurIPS 2025FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models
26. NeurIPS 2025Focus-Then-Reuse: Fast Adaptation in Visual Perturbation Environments
27. NeurIPS 2025Gains: Fine-grained Federated Domain Adaptation in Open Set
28. NeurIPS 2025GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation
29. NeurIPS 2025Generalizable Domain Adaptation for Sim-and-Real Policy Co-Training
30. NeurIPS 2025Generalized and Invariant Single-Neuron In-Vivo Activity Representation Learning
31. NeurIPS 2025Generalized Category Discovery under Domain Shift: A Frequency Domain Perspective
32. NeurIPS 2025GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
33. NeurIPS 2025Graph Data Selection for Domain Adaptation: A Model-Free Approach
34. NeurIPS 2025Graph–Smoothed Bayesian Black-Box Shift Estimator and Its Information Geometry
35. NeurIPS 2025GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning
36. NeurIPS 2025How Many Domains Suffice for Domain Generalization? A Tight Characterization via the Domain Shattering Dimension
37. NeurIPS 2025How to Auto-optimize Prompts for Domain Tasks? Adaptive Prompting and Reasoning through Evolutionary Domain Knowledge Adaptation
38. NeurIPS 2025Inductive Domain Transfer In Misspecified Simulation-Based Inference
39. NeurIPS 2025Latent Retrieval Augmented Generation of Cross-Domain Protein Binders
40. NeurIPS 2025Learning a Cross-Modal Schrödinger Bridge for Visual Domain Generalization
41. NeurIPS 2025Learning from positive and unlabeled examples -Finite size sample bounds
42. NeurIPS 2025Learning Robust Spectral Dynamics for Temporal Domain Generalization
43. NeurIPS 2025Learning Source-Free Domain Adaptation for Visible-Infrared Person Re-Identification
44. NeurIPS 2025Learning the Wrong Lessons: Syntactic-Domain Spurious Correlations in Language Models
45. NeurIPS 2025Lifelong Test-Time Adaptation via Online Learning in Tracked Low-Dimensional Subspace
46. NeurIPS 2025LoRA vs Full Fine-tuning: An Illusion of Equivalence
47. NeurIPS 2025Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning
48. NeurIPS 2025OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain
49. NeurIPS 2025OmniDraft: A cross-vocabulary, online adaptive drafter for on-device speculative decoding
50. NeurIPS 2025One Prompt Fits All: Universal Graph Adaptation for Pretrained Models

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.