Deep learning · optimization papers, 2023–2026

Key findings

• Deep learning · optimization fell from 256 papers in 2023 to 240 in 2026, so interest is cooling.
• NeurIPS publishes the most Deep learning · optimization work: 500 papers from 2023 to 2026, 52% of the four-venue total.
• The fastest-growing overlap is with Alignment and Safety: papers tagged with both rose from 5 in 2023 to 23 in 2026.
• Among the 11 topics under Deep Learning, it ranks #6 by 2026 paper count; the fastest grower in the group, Diffusion Models, is up 4.1x versus 0.9x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Achieving Directional-Stationarity from a Single Random Direction Step
• ICML 2026Bottleneck Communication Delay Minimization for Communication-Efficient Decentralized Learning
• ICLR 2026From Sorting Algorithms to Scalable Kernels: Bayesian Optimization in High-Dimensional Permutation Spaces
• CVPR 2026Coverage Optimization for Camera View Selection
• NeurIPS 2025High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search
• ICML 2025Feature-Mapping Topology Optimization with Neural Heaviside Signed Distance Functions
• ICLR 2025Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems
• CVPR 2025HotSpot: Signed Distance Function Optimization with an Asymptotically Sufficient Condition
• NeurIPS 2024$\boldsymbol{\mu}\mathbf{P^2}$: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling
• ICML 2024Barrier Algorithms for Constrained Non-Convex Optimization
• ICLR 2024Bayesian Coreset Optimization for Personalized Federated Learning
• CVPR 2024Multi-Session SLAM with Differentiable Wide-Baseline Pose Optimization
• NeurIPS 2023$\textbf{A}^2\textbf{CiD}^2$: Accelerating Asynchronous Communication in Decentralized Deep Learning
• ICML 2023Buying Information for Stochastic Optimization
• ICLR 2023Alternating Differentiation for Optimization Layers
• CVPR 2023Visual-Language Prompt Tuning With Knowledge-Guided Context Optimization
• NeurIPS 2026Adaptive Conditional Gradient Sliding: Projection-Free and Line-Search-Free Acceleration
• ICML 2026Riemannian Optimization for Fair Spectral Clustering
• ICLR 2026Gradient-Based Diversity Optimization with Differentiable Top-$k$ Objective
• CVPR 2026Its Never Too Late Noise Optimization for Collapse Recovery in

All Deep learning · optimization papers

22 papers, page 1 of 1

1. CVPR 2026Beyond Myopic Alignment Lookahead Optimization for Online Class-Incremental Learning
2. CVPR 2026Coverage Optimization for Camera View Selection
3. CVPR 2026Edges Compete for Trust Group Relative Edge Optimization for Building
4. CVPR 2026Its Never Too Late Noise Optimization for Collapse Recovery in
5. CVPR 2026Learnability-Driven Submodular Optimization for Active Roadside 3D Detection
6. CVPR 2026Pip-Stereo Progressive Iterations Pruner for Iterative Optimization based Stereo Matching
7. CVPR 2026TESO Online Tracking of Essential Matrix by Stochastic Optimization
8. CVPR 2025Balanced Rate-Distortion Optimization in Learned Image Compression
9. CVPR 2025CoMBO: Conflict Mitigation via Branched Optimization for Class Incremental Segmentation
10. CVPR 2025HotSpot: Signed Distance Function Optimization with an Asymptotically Sufficient Condition
11. CVPR 2025Instance-wise Supervision-level Optimization in Active Learning
12. CVPR 2025Locally Orderless Images for Optimization in Differentiable Rendering
13. CVPR 2025PIDLoc: Cross-View Pose Optimization Network Inspired by PID Controllers
14. CVPR 2024Multi-Session SLAM with Differentiable Wide-Baseline Pose Optimization
15. CVPR 2023Attribute-Preserving Face Dataset Anonymization via Latent Code Optimization
16. CVPR 2023Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU Supervision
17. CVPR 2023Elastic Aggregation for Federated Optimization
18. CVPR 2023LiDAR-in-the-Loop Hyperparameter Optimization
19. CVPR 2023Optimization-Inspired Cross-Attention Transformer for Compressive Sensing
20. CVPR 2023Towards Better Decision Forests: Forest Alternating Optimization
21. CVPR 2023Transformer-Based Learned Optimization
22. CVPR 2023Visual-Language Prompt Tuning With Knowledge-Guided Context Optimization

FAQ

How many Deep learning · optimization papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

953 in total: 256 in 2023, 294 in 2024, 163 in 2025, 240 in 2026.

How many Deep learning · optimization papers are at NeurIPS 2026?

NeurIPS 2026 has 103 Deep learning · optimization papers, versus 62 the year before.

How many Deep learning · optimization papers are at ICLR 2026?

ICLR 2026 has 44 Deep learning · optimization papers, versus 51 the year before.

How many Deep learning · optimization papers are at ICML 2026?

ICML 2026 has 86 Deep learning · optimization papers, versus 44 the year before.

How many Deep learning · optimization papers are at CVPR 2026?

CVPR 2026 has 7 Deep learning · optimization papers, versus 6 the year before.

Which conference publishes the most Deep learning · optimization papers?

NeurIPS, with 500 papers from 2023 to 2026.