Domain Adaptation papers, 2023–2026
Cross-domain transfer
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 866 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 36 | 35 | 16 | 87 | 174 |
| 2024 | 67 | 40 | 37 | 65 | 209 |
| 2025 | 81 | 45 | 48 | 46 | 220 |
| 2026 | 78 | 46 | 69 | 70 | 263 |
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 4 of 18
- ICML 2026OnePO: Direct One-stage Policy Optimization for SFT-free Domain Adaptation
- ICML 2026Parameter-Masked Decoupled Optimization for Cross-Domain Class-Incremental Learning
- ICML 2026Progressive Graph Structure Adjustment for Homophily Shift Adaptation
- ICML 2026Prototype-Based Test-Time Adaptation of Vision-Language Models
- ICML 2026Q-CLIP: Unleashing the Power of Vision-Language Models for Video Quality Assessment through Unified Cross-Modal Adaptation
- ICML 2026Quantifying Cross-Domain Knowledge Distillation in the Presence of Domain Shift
- ICML 2026Regularized Discriminative Alignment for Deep Representations under Label Shift
- ICML 2026Rethinking Feature Alignment in Generalist Graph Anomaly Detection: A Relational Fingerprint-based Approach
- ICML 2026Rethinking the Flow-based Gradual Domain Adaptation: A Semi-Dual Optimal Transport Perspective
- ICML 2026Return of Frustratingly Easy Unsupervised Video Domain Adaptation
- ICML 2026Robust Cross-Modal Retrieval via Generative Semantic Refinement and Exclusion-Guided Adaptation
- ICML 2026RoCA: Robust Cross-Domain End-to-End Autonomous Driving
- ICML 2026SaTeen: Learning Structural Alignment for Continual Test-Time Adaptation
- ICML 2026Scale-Aware Domain Harmonization for Domain Adaptation Person Search
- ICML 2026Scaling Unsupervised Multi-Source Federated Domain Adaptation through Group-Wise Discrepancy Minimization
- ICML 2026SCoA: Revisiting Domain Generalized Object Detection with Style-Conditioned Adaptation
- ICML 2026Semi-Supervised Noise Adaptation: Transferring Knowledge from Noise Domain
- ICML 2026Server-Proximal Aggregation for Federated Domain-Incremental Learning under Partial Participation: Task-Uniform Convergence and Backward Transfer
- ICML 2026Sobolev Regularized Score Difference Estimation in Diffusion Models
- ICML 2026Spike Camera Autofocus via Frequency-Domain Spectral-Centroid Migration
- ICML 2026Stabilizing In-Context Multi-Source Domain Adaptation for Biomedical Images Through Controls
- ICML 2026SURGE: Surrogate Gradient Adaptation in Binary Neural Networks
- ICML 2026SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation
- ICML 2026TiME: Test-Time Mixture-of-Experts Routing via Asymmetric CO-Optimal Transport for Continual Test-Time Adaptation
- ICML 2026Transport or Discard: Robust Unbalanced Optimal Transport for Cross-Domain Policy Adaptation
- ICML 2026Turning Adaptation into Assets: Cross-Domain Bridging for Online Vision-Language Navigation
- ICML 2026U$^3$CF: Unbiased, Unconfounding, and Unified Causal Framework for Multi-Target Domain Adaptation
- ICML 2026Unifying Value Alignment and Assignment in Cross-Domain Offline Reinforcement Learning with Heterogeneous Datasets
- ICML 2026Updating Parametric Knowledge with Context Distillation Retains Post-Training Capabilities
- ICML 2026Variational Adapter for Cross-modal Similarity Representation
- ICML 2026Variational Learning of Disentangled Representations
- ICML 2026Walrus: A Cross-domain Foundation Model for Continuum Dynamics
- ICML 2026What Makes a Strong Model? A Unified Spectral Analysis of Knowledge Transfer over High-dimensional Linear Regression
- ICML 2026When Do Graph Foundation Models Transfer? A Data-Centric Theory
- ICML 2026When More Data Doesn't Help: Limits of Adaptation in Multitask Learning
- NeurIPS 2026A Dual-Domain Vision Transformer with Spectral Positional Bias
- NeurIPS 2026A Simple Unigram Cross-Entropy Lens on the Lexical Imprint of Pre-training Data
- NeurIPS 2026A Theoretical Framework for Self-Play Theorem Proving Algorithms
- NeurIPS 2026A unified pairwise distribution matching framework for graph domain adaptation under structure shift
- NeurIPS 2026ADIS-Law: Unified Scaling Laws for Annealing-Phase Domain Injection in Large Language Models
- NeurIPS 2026Anchoring Physiological Invariance, Expanding Domain Plasticity: Prior-Stabilized Dynamic Adaptation for Continual rPPG Measurement
- NeurIPS 2026Are We Making Progress in Multimodal Domain Generalization? A Comprehensive Benchmark Study
- NeurIPS 2026AtlasULP: Domain-aware Universal Link Prediction via Relation Atlas
- NeurIPS 2026Better Language Models Require Better Domain-Specific Inductive Biases
- NeurIPS 2026Beyond Average Flatness: Domain-wise Flatness for Domain Generalization
- NeurIPS 2026Block-R1: Rethinking the Role of Block Size in Multi-domain Reinforcement Learning for Diffusion Large Language Models
- NeurIPS 2026Bridging CLIP with DINO: Cross-Modal Information Maximization for Online Test-Time Adaptation
- NeurIPS 2026Bridging Sequence and Structure with Unified Domain Adaptation for Drug-Target Interaction Prediction
- NeurIPS 2026CENDRe: Concept Extraction with Natural Domain Representations
- NeurIPS 2026Class–Domain Discriminability Guided Representation Enhancement for Domain Generalization
Ask about this trend from Claude or Cursor
Connect the Paperlist MCP and your assistant can pull the numbers on this page while you draft a survey, pick a direction or plan a submission: papers per year and venue, growth, the fastest-rising sub-themes and representative papers, shaped around your question.
Copy this prompt into your assistant
Use paperlist to show how Domain Adaptation papers grew at CVPR from 2023 to 2026, and which year jumped the most.
Tool the assistant calls: get_topic_stats {"topic": "domain-adaptation"}
Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)
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.