UI Understanding papers, 2023–2026

Key findings

• UI Understanding went from 15 papers in 2023 to 27 in 2026, roughly 1.8x in three years.
• NeurIPS publishes the most UI Understanding work: 23 papers from 2023 to 2026, 30% of the four-venue total.
• The fastest-growing overlap is with AI Agents: papers tagged with both rose from 0 in 2023 to 9 in 2026.
• Among the 5 topics under Education and HCI, it ranks #3 by 2026 paper count; the fastest grower in the group, User Modeling, is up 2.9x versus 1.8x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Denoise First, Orthogonalize Later: Understanding Momentum in Muon via Spectral Filtering
• ICML 2026A Single Layer to Explain Them All: Understanding Massive Values in Large Language Models
• ICLR 2026Towards Understanding the Shape of Representations in Protein Language Models
• CVPR 2026RISE Single Static Radar-based Indoor Scene Understanding
• NeurIPS 2025The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis
• ICML 2025On Understanding Attention-Based In-Context Learning for Categorical Data
• ICLR 2025Toward Understanding In-context vs. In-weight Learning
• CVPR 2025MP-GUI: Modality Perception with MLLMs for GUI Understanding
• ICML 2024CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents
• ICLR 2024Understanding In-Context Learning from Repetitions
• CVPR 2024PanoContext-Former: Panoramic Total Scene Understanding with a Transformer
• NeurIPS 2023Understanding the detrimental class-level effects of data augmentation
• ICML 2023How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding
• ICLR 2023First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains
• CVPR 2023AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation
• NeurIPS 2026Shifting the Gradient: Understanding How Defensive Training Methods Protect Language Model Integrity
• ICML 2026Understanding the Parameter Space Geometry of Transformers Encoding Boolean Functions
• ICLR 2026Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods
• CVPR 20264D-RGPT Toward Region-level 4D Understanding via Perceptual Distillation
• NeurIPS 2025Towards a Geometric Understanding of Tensor Learning via the t-Product

All UI Understanding papers

23 papers, page 1 of 1

1. NeurIPS 2026Agentic Abstention: Do Agents Know When to Stop Instead of Act?
2. NeurIPS 2026AgentSSL: Can MLE Agents Leverage Unlabeled Data?
3. NeurIPS 2026AIRA 2: Overcoming Bottlenecks in AI Research Agents
4. NeurIPS 2026Denoise First, Orthogonalize Later: Understanding Momentum in Muon via Spectral Filtering
5. NeurIPS 2026DiagEval: Trajectory-Conditioned Diagnosis for Reliable Software Evaluation with GUI Agents
6. NeurIPS 2026ECHO: Terminal Agents Learn World Models for Free
7. NeurIPS 2026How to Train a Surgeon? Benchmarking Generalist Agents in Surgical Scene Understanding
8. NeurIPS 2026Reinforcement Learning Agents Are Swimmers
9. NeurIPS 2026Shifting the Gradient: Understanding How Defensive Training Methods Protect Language Model Integrity
10. NeurIPS 2026SWE Atlas: Benchmarking Coding Agents Beyond Issue Resolution
11. NeurIPS 2026SWE-Marathon: Can AI Agents Autonomously Complete Ultra-Long-Horizon Software Work?
12. NeurIPS 2026Understanding Circulant Permutation to Extend the CMinHash Estimator
13. NeurIPS 2026Understanding Layer Patching in Model Size Interpolation
14. NeurIPS 2026Understanding Sample Efficiency in Predictive Coding
15. NeurIPS 2026Understanding the Co-evolutionary Solution Exchange of the MOEA/D: Minimal Communication Gives Maximal Speed-Ups
16. NeurIPS 2026Understanding the Curse of Unrolling
17. NeurIPS 2025The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis
18. NeurIPS 2025Towards a Geometric Understanding of Tensor Learning via the t-Product
19. NeurIPS 2025Towards Understanding Transformers in Learning Random Walks
20. NeurIPS 2025Understanding Adam Requires Better Rotation Dependent Assumptions
21. NeurIPS 2025Understanding Bias Terms in Neural Representations
22. NeurIPS 2025Understanding the Evolution of the Neural Tangent Kernel at the Edge of Stability
23. NeurIPS 2023Understanding the detrimental class-level effects of data augmentation

FAQ

How many UI Understanding papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

77 in total: 15 in 2023, 16 in 2024, 19 in 2025, 27 in 2026.

How many UI Understanding papers are at NeurIPS 2026?

NeurIPS 2026 has 16 UI Understanding papers, versus 6 the year before.

How many UI Understanding papers are at ICLR 2026?

ICLR 2026 has 2 UI Understanding papers, versus 2 the year before.

How many UI Understanding papers are at ICML 2026?

ICML 2026 has 2 UI Understanding papers, versus 5 the year before.

How many UI Understanding papers are at CVPR 2026?

CVPR 2026 has 7 UI Understanding papers, versus 6 the year before.

Which conference publishes the most UI Understanding papers?

NeurIPS, with 23 papers from 2023 to 2026.