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 14 of 18

651. NeurIPS 2024EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding
652. NeurIPS 2024Enhancing Domain Adaptation through Prompt Gradient Alignment
653. NeurIPS 2024Federated Graph Learning for Cross-Domain Recommendation
654. NeurIPS 2024Fine-Tuning is Fine, if Calibrated
655. NeurIPS 2024Geodesic Optimization for Predictive Shift Adaptation on EEG data
656. NeurIPS 2024Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization
657. NeurIPS 2024Hierarchical Object-Aware Dual-Level Contrastive Learning for Domain Generalized Stereo Matching
658. NeurIPS 2024Improving self-training under distribution shifts via anchored confidence with theoretical guarantees
659. NeurIPS 2024IODA: Instance-Guided One-shot Domain Adaptation for Super-Resolution
660. NeurIPS 2024L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer
661. NeurIPS 2024Label Noise: Ignorance Is Bliss
662. NeurIPS 2024LaSCal: Label-Shift Calibration without target labels
663. NeurIPS 2024Learning De-Biased Representations for Remote-Sensing Imagery
664. NeurIPS 2024Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation
665. NeurIPS 2024Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning
666. NeurIPS 2024Mind the Gap Between Prototypes and Images in Cross-domain Finetuning
667. NeurIPS 2024Nuclear Fusion Diamond Polishing Dataset
668. NeurIPS 2024Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation
669. NeurIPS 2024On $f$-Divergence Principled Domain Adaptation: An Improved Framework
670. NeurIPS 2024One-to-Multiple: A Progressive Style Transfer Unsupervised Domain-Adaptive Framework for Kidney Tumor Segmentation
671. NeurIPS 2024Partial Transportability for Domain Generalization
672. NeurIPS 2024Persistent Test-time Adaptation in Recurring Testing Scenarios
673. NeurIPS 2024Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach
674. NeurIPS 2024Reinforced Cross-Domain Knowledge Distillation on Time Series Data
675. NeurIPS 2024Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
676. NeurIPS 2024SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain
677. NeurIPS 2024Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval
678. NeurIPS 2024SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network
679. NeurIPS 2024Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation
680. NeurIPS 2024SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery
681. NeurIPS 2024Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
682. NeurIPS 2024Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs
683. NeurIPS 2024Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment
684. NeurIPS 2024TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering
685. NeurIPS 2024Towards Combating Frequency Simplicity-biased Learning for Domain Generalization
686. NeurIPS 2024Towards Learning Group-Equivariant Features for Domain Adaptive 3D Detection
687. NeurIPS 2024Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline
688. NeurIPS 2024Towards Unsupervised Model Selection for Domain Adaptive Object Detection
689. NeurIPS 2024UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models
690. NeurIPS 2024UniDSeg: Unified Cross-Domain 3D Semantic Segmentation via Visual Foundation Models Prior
691. NeurIPS 2024Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection
692. NeurIPS 2024WATT: Weight Average Test Time Adaptation of CLIP
693. CVPR 20232PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection
694. CVPR 2023A New Benchmark: On the Utility of Synthetic Data With Blender for Bare Supervised Learning and Downstream Domain Adaptation
695. CVPR 2023A Probabilistic Framework for Lifelong Test-Time Adaptation
696. CVPR 2023Adjustment and Alignment for Unbiased Open Set Domain Adaptation
697. CVPR 2023ALOFT: A Lightweight MLP-Like Architecture With Dynamic Low-Frequency Transform for Domain Generalization
698. CVPR 2023AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection
699. CVPR 2023AutoLabel: CLIP-Based Framework for Open-Set Video Domain Adaptation
700. CVPR 2023Back to the Source: Diffusion-Driven Adaptation To Test-Time Corruption

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.