Deep learning · optimization papers, 2023–2026
Deep learning area: optimization
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 953 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 144 | 34 | 70 | 8 | 256 |
| 2024 | 191 | 30 | 72 | 1 | 294 |
| 2025 | 62 | 51 | 44 | 6 | 163 |
| 2026 | 103 | 44 | 86 | 7 | 240 |
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
163 papers, page 4 of 4
- NeurIPS 2025Set Smoothness Unlocks Clarke Hyper-stationarity in Bilevel Optimization
- NeurIPS 2025Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints
- NeurIPS 2025Solver-Free Decision-Focused Learning for Linear Optimization Problems
- NeurIPS 2025Stab-SGD: Noise-Adaptivity in Smooth Optimization with Stability Ratios
- NeurIPS 2025Stochastic Momentum Methods for Non-smooth Non-Convex Finite-Sum Coupled Compositional Optimization
- NeurIPS 2025System Prompt Optimization with Meta-Learning
- NeurIPS 2025TANDEM: Bi-Level Data Mixture Optimization with Twin Networks
- NeurIPS 2025Targeted Maximum Likelihood Learning: An Optimization Perspective
- NeurIPS 2025The Bias-Variance Tradeoff in Data-Driven Optimization: A Local Misspecification Perspective
- NeurIPS 2025Theoretical Investigation of Adafactor for Non-Convex Smooth Optimization
- NeurIPS 2025TokMan:Tokenize Manhattan Mask Optimization for Inverse Lithography
- NeurIPS 2025Uniform Wrappers: Bridging Concave to Quadratizable Functions in Online Optimization
- NeurIPS 2025What Data Enables Optimal Decisions? An Exact Characterization for Linear Optimization
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 Deep learning · optimization papers grew at NeurIPS from 2023 to 2026, and which year jumped the most.
Tool the assistant calls: get_topic_stats {"topic": "dl-optimization"}
Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)
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.
More in Deep Learning
- Diffusion Models 6,900
- Deep learning · generative models and autoencoders 4,314
- Deep learning · large language models 2,334
- Deep learning · self supervised learning 1,958
- Deep learning · graph neural networks 1,648
- Deep learning · representation learning 802
- Deep learning · probabilistic methods 637
- Deep learning · foundation models 536
- Deep learning · causal inference 316
- Deep learning · transfer learning 197