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

262 papers, page 5 of 6

201. NeurIPS 2024Nuclear Fusion Diamond Polishing Dataset
202. NeurIPS 2024Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation
203. NeurIPS 2024On $f$-Divergence Principled Domain Adaptation: An Improved Framework
204. NeurIPS 2024One-to-Multiple: A Progressive Style Transfer Unsupervised Domain-Adaptive Framework for Kidney Tumor Segmentation
205. NeurIPS 2024Partial Transportability for Domain Generalization
206. NeurIPS 2024Persistent Test-time Adaptation in Recurring Testing Scenarios
207. NeurIPS 2024Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach
208. NeurIPS 2024Reinforced Cross-Domain Knowledge Distillation on Time Series Data
209. NeurIPS 2024Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
210. NeurIPS 2024SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain
211. NeurIPS 2024Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval
212. NeurIPS 2024SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network
213. NeurIPS 2024Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation
214. NeurIPS 2024SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery
215. NeurIPS 2024Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
216. NeurIPS 2024Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs
217. NeurIPS 2024Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment
218. NeurIPS 2024TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering
219. NeurIPS 2024Towards Combating Frequency Simplicity-biased Learning for Domain Generalization
220. NeurIPS 2024Towards Learning Group-Equivariant Features for Domain Adaptive 3D Detection
221. NeurIPS 2024Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline
222. NeurIPS 2024Towards Unsupervised Model Selection for Domain Adaptive Object Detection
223. NeurIPS 2024UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models
224. NeurIPS 2024UniDSeg: Unified Cross-Domain 3D Semantic Segmentation via Visual Foundation Models Prior
225. NeurIPS 2024Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection
226. NeurIPS 2024WATT: Weight Average Test Time Adaptation of CLIP
227. NeurIPS 2023(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy
228. NeurIPS 2023Adversarial Self-Training Improves Robustness and Generalization for Gradual Domain Adaptation
229. NeurIPS 2023Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation
230. NeurIPS 2023Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations
231. NeurIPS 2023Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs
232. NeurIPS 2023Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift
233. NeurIPS 2023Convolution Monge Mapping Normalization for learning on sleep data
234. NeurIPS 2023Convolutional Visual Prompt for Robust Visual Perception
235. NeurIPS 2023Cross-Domain Policy Adaptation via Value-Guided Data Filtering
236. NeurIPS 2023Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation
237. NeurIPS 2023Domain Re-Modulation for Few-Shot Generative Domain Adaptation
238. NeurIPS 2023DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining
239. NeurIPS 2023Eliminating Domain Bias for Federated Learning in Representation Space
240. NeurIPS 2023Equivariant Adaptation of Large Pretrained Models
241. NeurIPS 2023Extremal Domain Translation with Neural Optimal Transport
242. NeurIPS 2023Frequency Domain-Based Dataset Distillation
243. NeurIPS 2023Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data
244. NeurIPS 2023Improving Language Plasticity via Pretraining with Active Forgetting
245. NeurIPS 2023Learning Domain-Aware Detection Head with Prompt Tuning
246. NeurIPS 2023Learning List-Level Domain-Invariant Representations for Ranking
247. NeurIPS 2023Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search
248. NeurIPS 2023MADG: Margin-based Adversarial Learning for Domain Generalization
249. NeurIPS 2023Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation
250. NeurIPS 2023Minimum-Risk Recalibration of Classifiers

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.