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

209 papers, page 4 of 5

151. NeurIPS 2024Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing
152. NeurIPS 2024BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping
153. NeurIPS 2024Boosting Transferability and Discriminability for Time Series Domain Adaptation
154. NeurIPS 2024Cloud Object Detector Adaptation by Integrating Different Source Knowledge
155. NeurIPS 2024CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics
156. NeurIPS 2024Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters
157. NeurIPS 2024Continual Learning in the Frequency Domain
158. NeurIPS 2024Continuous Temporal Domain Generalization
159. NeurIPS 2024Cross-Device Collaborative Test-Time Adaptation
160. NeurIPS 2024Cross-modal Representation Flattening for Multi-modal Domain Generalization
161. NeurIPS 2024D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models
162. NeurIPS 2024DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection
163. NeurIPS 2024DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices
164. NeurIPS 2024DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain
165. NeurIPS 2024DDK: Distilling Domain Knowledge for Efficient Large Language Models
166. NeurIPS 2024DiffuBox: Refining 3D Object Detection with Point Diffusion
167. NeurIPS 2024Domain Adaptation for Large-Vocabulary Object Detectors
168. NeurIPS 2024EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding
169. NeurIPS 2024Enhancing Domain Adaptation through Prompt Gradient Alignment
170. NeurIPS 2024Federated Graph Learning for Cross-Domain Recommendation
171. NeurIPS 2024Fine-Tuning is Fine, if Calibrated
172. NeurIPS 2024Geodesic Optimization for Predictive Shift Adaptation on EEG data
173. NeurIPS 2024Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization
174. NeurIPS 2024Hierarchical Object-Aware Dual-Level Contrastive Learning for Domain Generalized Stereo Matching
175. NeurIPS 2024Improving self-training under distribution shifts via anchored confidence with theoretical guarantees
176. NeurIPS 2024IODA: Instance-Guided One-shot Domain Adaptation for Super-Resolution
177. NeurIPS 2024L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer
178. NeurIPS 2024Label Noise: Ignorance Is Bliss
179. NeurIPS 2024LaSCal: Label-Shift Calibration without target labels
180. NeurIPS 2024Learning De-Biased Representations for Remote-Sensing Imagery
181. NeurIPS 2024Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation
182. NeurIPS 2024Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning
183. NeurIPS 2024Mind the Gap Between Prototypes and Images in Cross-domain Finetuning
184. NeurIPS 2024Nuclear Fusion Diamond Polishing Dataset
185. NeurIPS 2024Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation
186. NeurIPS 2024On $f$-Divergence Principled Domain Adaptation: An Improved Framework
187. NeurIPS 2024One-to-Multiple: A Progressive Style Transfer Unsupervised Domain-Adaptive Framework for Kidney Tumor Segmentation
188. NeurIPS 2024Partial Transportability for Domain Generalization
189. NeurIPS 2024Persistent Test-time Adaptation in Recurring Testing Scenarios
190. NeurIPS 2024Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach
191. NeurIPS 2024Reinforced Cross-Domain Knowledge Distillation on Time Series Data
192. NeurIPS 2024Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
193. NeurIPS 2024SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain
194. NeurIPS 2024Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval
195. NeurIPS 2024SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network
196. NeurIPS 2024Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation
197. NeurIPS 2024SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery
198. NeurIPS 2024Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
199. NeurIPS 2024Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs
200. NeurIPS 2024Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment

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.