深度学习 · optimization论文趋势 2023–2026
ICML/NeurIPS 深度学习方向：optimization
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 953 篇被归入该主题的论文。
主要结论
- 深度学习 · optimization论文从 2023 年的 256 篇降到 2026 年的 240 篇，热度在回落。
- NeurIPS 是发深度学习 · optimization论文最多的会议，2023–2026 年共 500 篇，占四个会议总量的 52%。
- 交叉方向里涨得最快的是对齐与安全：同时属于两个主题的论文从 2023 年的 5 篇增至 2026 年的 23 篇。
- 在「深度学习」的 11 个主题里，它的 2026 年论文数排第 6；同组增长最快的扩散模型是 4.1 倍，深度学习 · optimization是 0.9 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 144 | 34 | 70 | 8 | 256 |
| 2024 | 191 | 30 | 72 | 1 | 294 |
| 2025 | 62 | 51 | 44 | 6 | 163 |
| 2026 | 103 | 44 | 86 | 7 | 240 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- 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
全部深度学习 · optimization论文
共 953 篇，第 7 / 20 页
- ICML 2025Accelerating PDE-Constrained Optimization by the Derivative of Neural Operators
- ICML 2025Attention-Only Transformers via Unrolled Subspace Denoising
- ICML 2025BackSlash: Rate Constrained Optimized Training of Large Language Models
- ICML 2025Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation
- ICML 2025BSO: Binary Spiking Online Optimization Algorithm
- ICML 2025Decoupled SGDA for Games with Intermittent Strategy Communication
- ICML 2025DTZO: Distributed Trilevel Zeroth Order Learning with Provable Non-Asymptotic Convergence
- ICML 2025Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method
- ICML 2025Enabling Optimal Decisions in Rehearsal Learning under CARE Condition
- ICML 2025Enhancing Parallelism in Decentralized Stochastic Convex Optimization
- ICML 2025Ensemble Learned Bloom Filters: Two Oracles are Better than One
- ICML 2025Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization
- ICML 2025Feature-Mapping Topology Optimization with Neural Heaviside Signed Distance Functions
- ICML 2025FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch
- ICML 2025Generalized additive models via direct optimization of regularized decision stump forests
- ICML 2025Generalized Smooth Bilevel Optimization with Nonconvex Lower-Level
- ICML 2025Global curvature for second-order optimization of neural networks
- ICML 2025Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization
- ICML 2025Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems
- ICML 2025Inverse Optimization via Learning Feasible Regions
- ICML 2025Joker: Joint Optimization Framework for Lightweight Kernel Machines
- ICML 2025Learning Minimum-Size BDDs: Towards Efficient Exact Algorithms
- ICML 2025Meta-Black-Box-Optimization through Offline Q-function Learning
- ICML 2025Natural Perturbations for Black-box Training of Neural Networks by Zeroth-Order Optimization
- ICML 2025Neural Solver Selection for Combinatorial Optimization
- ICML 2025Nonlinearly Preconditioned Gradient Methods under Generalized Smoothness
- ICML 2025Optimal Transport Barycenter via Nonconvex-Concave Minimax Optimization
- ICML 2025Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees
- ICML 2025PipeOffload: Improving Scalability of Pipeline Parallelism with Memory Optimization
- ICML 2025Probabilistic Group Mask Guided Discrete Optimization for Incremental Learning
- ICML 2025Provable Benefit of Random Permutations over Uniform Sampling in Stochastic Coordinate Descent
- ICML 2025Radio: Rate–Distortion Optimization for Large Language Model Compression
- ICML 2025Revisiting Convergence: Shuffling Complexity Beyond Lipschitz Smoothness
- ICML 2025Scaffold with Stochastic Gradients: New Analysis with Linear Speed-Up
- ICML 2025Scalable Meta-Learning via Mixed-Mode Differentiation
- ICML 2025SERENA: A Unified Stochastic Recursive Variance Reduced Gradient Framework for Riemannian Non-Convex Optimization
- ICML 2025Stacey: Promoting Stochastic Steepest Descent via Accelerated $\ell_p$-Smooth Nonconvex Optimization
- ICML 2025Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints
- ICML 2025Subspace Optimization for Large Language Models with Convergence Guarantees
- ICML 2025The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training
- ICML 2025TSP: A Two-Sided Smoothed Primal-Dual Method for Nonconvex Bilevel Optimization
- NeurIPS 2025A Beyond-Worst-Case Analysis of Greedy k-means++
- NeurIPS 2025A Near-Optimal Algorithm for Decentralized Convex-Concave Finite-Sum Minimax Optimization
- NeurIPS 2025A Tale of Two Symmetries: Exploring the Loss Landscape of Equivariant Models
- NeurIPS 2025An Ellipsoid Algorithm for Online Convex Optimization
- NeurIPS 2025Auto-Connect: Connectivity-Preserving RigFormer with Direct Preference Optimization
- NeurIPS 2025Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation
- NeurIPS 2025Beyond Value Functions: Single-Loop Bilevel Optimization under Flatness Conditions
- NeurIPS 2025Boosting Resilience of Large Language Models through Causality-Driven Robust Optimization
- NeurIPS 2025Breaking the Frozen Subspace: Importance Sampling for Low-Rank Optimization in LLM Pretraining
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查深度学习 · optimization在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "dl-optimization"}
常见问题
- 2023–2026 年四大会议一共有多少篇深度学习 · optimization论文？
- 共 953 篇，按年份分别是 2023 年 256 篇、2024 年 294 篇、2025 年 163 篇、2026 年 240 篇。
- NeurIPS 2026 有多少篇深度学习 · optimization论文？
- NeurIPS 2026 有 103 篇深度学习 · optimization论文，上一届是 62 篇。
- ICLR 2026 有多少篇深度学习 · optimization论文？
- ICLR 2026 有 44 篇深度学习 · optimization论文，上一届是 51 篇。
- ICML 2026 有多少篇深度学习 · optimization论文？
- ICML 2026 有 86 篇深度学习 · optimization论文，上一届是 44 篇。
- CVPR 2026 有多少篇深度学习 · optimization论文？
- CVPR 2026 有 7 篇深度学习 · optimization论文，上一届是 6 篇。
- 哪个会议的深度学习 · optimization论文最多？
- NeurIPS，2023–2026 年共 500 篇。
「深度学习」下的其他主题
- 扩散模型 6,900
- 深度学习 · generative models and autoencoders 4,314
- 深度学习 · large language models 2,334
- 深度学习 · self supervised learning 1,958
- 深度学习 · graph neural networks 1,648
- 深度学习 · representation learning 802
- 深度学习 · probabilistic methods 637
- 深度学习 · foundation models 536
- 深度学习 · causal inference 316
- 深度学习 · transfer learning 197