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 13 of 18

601. ICML 2024DOGE: Domain Reweighting with Generalization Estimation
602. ICML 2024Domain Generalisation via Imprecise Learning
603. ICML 2024Domain-wise Data Acquisition to Improve Performance under Distribution Shift
604. ICML 2024DoRA: Weight-Decomposed Low-Rank Adaptation
605. ICML 2024DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection
606. ICML 2024Getting the most out of your tokenizer for pre-training and domain adaptation
607. ICML 2024Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method
608. ICML 2024Hyperbolic Active Learning for Semantic Segmentation under Domain Shift
609. ICML 2024Incorporating probabilistic domain knowledge into deep multiple instance learning
610. ICML 2024IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation
611. ICML 2024Large Scale Dataset Distillation with Domain Shift
612. ICML 2024Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition
613. ICML 2024LoRA+: Efficient Low Rank Adaptation of Large Models
614. ICML 2024MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence
615. ICML 2024Pairwise Alignment Improves Graph Domain Adaptation
616. ICML 2024Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation
617. ICML 2024Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation
618. ICML 2024Rethinking DP-SGD in Discrete Domain: Exploring Logistic Distribution in the Realm of signSGD
619. ICML 2024RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation
620. ICML 2024Stationary Latent Weight Inference for Unreliable Observations from Online Test-Time Adaptation
621. ICML 2024SuDA: Support-based Domain Adaptation for Sim2Real Hinge Joint Tracking with Flexible Sensors
622. ICML 2024TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules
623. ICML 2024Test-Time Model Adaptation with Only Forward Passes
624. ICML 2024Time Series Diffusion in the Frequency Domain
625. ICML 2024Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images
626. NeurIPS 2024A Bayesian Approach to Data Point Selection
627. NeurIPS 2024A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning
628. NeurIPS 2024A Cross-Domain Benchmark for Active Learning
629. NeurIPS 2024Adaptive Domain Learning for Cross-domain Image Denoising
630. NeurIPS 2024Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models
631. NeurIPS 2024Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology
632. NeurIPS 2024Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning
633. NeurIPS 2024AUC Maximization under Positive Distribution Shift
634. NeurIPS 2024Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing
635. NeurIPS 2024BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping
636. NeurIPS 2024Boosting Transferability and Discriminability for Time Series Domain Adaptation
637. NeurIPS 2024Cloud Object Detector Adaptation by Integrating Different Source Knowledge
638. NeurIPS 2024CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics
639. NeurIPS 2024Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters
640. NeurIPS 2024Continual Learning in the Frequency Domain
641. NeurIPS 2024Continuous Temporal Domain Generalization
642. NeurIPS 2024Cross-Device Collaborative Test-Time Adaptation
643. NeurIPS 2024Cross-modal Representation Flattening for Multi-modal Domain Generalization
644. NeurIPS 2024D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models
645. NeurIPS 2024DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection
646. NeurIPS 2024DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices
647. NeurIPS 2024DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain
648. NeurIPS 2024DDK: Distilling Domain Knowledge for Efficient Large Language Models
649. NeurIPS 2024DiffuBox: Refining 3D Object Detection with Point Diffusion
650. NeurIPS 2024Domain Adaptation for Large-Vocabulary Object Detectors

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.