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

170 papers, page 3 of 4

101. ICML 2025Self-Bootstrapping for Versatile Test-Time Adaptation
102. ICML 2025Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation
103. ICML 2025Set Valued Predictions For Robust Domain Generalization
104. ICML 2025Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging
105. ICML 2025Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation
106. ICML 2025SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation
107. ICML 2025Tackling Dimensional Collapse toward Comprehensive Universal Domain Adaptation
108. ICML 2025Test-Time Adaptation with Binary Feedback
109. ICML 2025The Role of Sparsity for Length Generalization in LLMs
110. ICML 2025Theoretical Performance Guarantees for Partial Domain Adaptation via Partial Optimal Transport
111. ICML 2025Transfer Learning for Nonparametric Contextual Dynamic Pricing
112. ICML 2025TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain Adaptation
113. ICML 2025Unveiling Markov heads in Pretrained Language Models for Offline Reinforcement Learning
114. ICML 2025When can in-context learning generalize out of task distribution?
115. ICML 2025When Can Proxies Improve the Sample Complexity of Preference Learning?
116. ICML 2025World Model Implanting for Test-time Adaptation of Embodied Agents
117. ICML 2025Zebra: In-Context Generative Pretraining for Solving Parametric PDEs
118. ICML 2024Adversarially Robust Hypothesis Transfer Learning
119. ICML 2024Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation
120. ICML 2024Bayesian Power Steering: An Effective Approach for Domain Adaptation of Diffusion Models
121. ICML 2024BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation
122. ICML 2024Category-Aware Active Domain Adaptation
123. ICML 2024CauDiTS: Causal Disentangled Domain Adaptation of Multivariate Time Series
124. ICML 2024Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation
125. ICML 2024Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning
126. ICML 2024Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation
127. ICML 2024Cross-domain Open-world Discovery
128. ICML 2024Cross-Domain Policy Adaptation by Capturing Representation Mismatch
129. ICML 2024Differentially Private Domain Adaptation with Theoretical Guarantees
130. ICML 2024DOGE: Domain Reweighting with Generalization Estimation
131. ICML 2024Domain Generalisation via Imprecise Learning
132. ICML 2024Domain-wise Data Acquisition to Improve Performance under Distribution Shift
133. ICML 2024DoRA: Weight-Decomposed Low-Rank Adaptation
134. ICML 2024DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection
135. ICML 2024Getting the most out of your tokenizer for pre-training and domain adaptation
136. ICML 2024Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method
137. ICML 2024Hyperbolic Active Learning for Semantic Segmentation under Domain Shift
138. ICML 2024Incorporating probabilistic domain knowledge into deep multiple instance learning
139. ICML 2024IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation
140. ICML 2024Large Scale Dataset Distillation with Domain Shift
141. ICML 2024Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition
142. ICML 2024LoRA+: Efficient Low Rank Adaptation of Large Models
143. ICML 2024MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence
144. ICML 2024Pairwise Alignment Improves Graph Domain Adaptation
145. ICML 2024Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation
146. ICML 2024Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation
147. ICML 2024Rethinking DP-SGD in Discrete Domain: Exploring Logistic Distribution in the Realm of signSGD
148. ICML 2024RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation
149. ICML 2024Stationary Latent Weight Inference for Unreliable Observations from Online Test-Time Adaptation
150. ICML 2024SuDA: Support-based Domain Adaptation for Sim2Real Hinge Joint Tracking with Flexible Sensors

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.