应用 · neuroscience and cognitive science论文趋势 2023–2026
应用方向：neuroscience_and_cognitive_science
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 2,033 篇被归入该主题的论文。
主要结论
- 应用 · neuroscience and cognitive science论文从 2023 年的 183 篇增长到 2026 年的 753 篇，三年间扩大到约 4.1 倍。
- NeurIPS 是发应用 · neuroscience and cognitive science论文最多的会议，2023–2026 年共 824 篇，占四个会议总量的 41%。
- 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 4 篇增至 2026 年的 44 篇。
- 在「应用领域」的 10 个主题里，它的 2026 年论文数排第 4；同组增长最快的应用 · health medicine是 61 倍，应用 · neuroscience and cognitive science是 4.1 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 66 | 44 | 49 | 24 | 183 |
| 2024 | 189 | 99 | 107 | 29 | 424 |
| 2025 | 342 | 151 | 157 | 23 | 673 |
| 2026 | 227 | 229 | 263 | 34 | 753 |
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 2026(Strongly) Replicable Distribution Testers imply High Probability Distribution Testers
- ICML 2026(Be Cautious!) Bio-Foundation Models Are Not Yet Robust to Biologically Plausible Perturbations and ML Transformations
- ICLR 2026A Biologically Plausible Dense Associative Memory with Exponential Capacity
- CVPR 2026Globscope Toward a Global View of the Loss Landscape
- NeurIPS 2025$\mu$PC: Scaling Predictive Coding to 100+ Layer Networks
- ICML 2025Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example
- ICLR 2025A Computational Framework for Modeling Emergence of Color Vision in the Human Brain
- CVPR 2025Blurred LiDAR for Sharper 3D: Robust Handheld 3D Scanning with Diffuse LiDAR and RGB
- NeurIPS 2024$\textit{NeuroPath}$: A Neural Pathway Transformer for Joining the Dots of Human Connectomes
- ICML 2024$\bf{\Phi}_\textrm{Flow}$: Differentiable Simulations for PyTorch, TensorFlow and Jax
- ICLR 2024A Cognitive Model for Learning Abstract Relational Structures from Memory-based Decision-Making Tasks
- CVPR 2024Efficient Detection of Long Consistent Cycles and its Application to Distributed Synchronization
- NeurIPS 2023Adaptive whitening with fast gain modulation and slow synaptic plasticity
- ICML 2023Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations
- ICLR 2023A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet
- CVPR 20233D Line Mapping Revisited
- NeurIPS 2026$\mathrm{Bounded\mbox{-}RS}$: A Bounded Evaluation Protocol and Testbed for Representational Systematicity
- ICML 2026A hitchhiker's guide to Poisson gradient estimation
- ICLR 2026A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning across Broad Atlases and Disorders
- CVPR 2026LASAR Towards Spatio-temporal Reasoning with Latent Cognitive Map
全部应用 · neuroscience and cognitive science论文
共 576 篇，第 10 / 12 页
- ICML 2024Fine-grained Classes and How to Find Them
- ICML 2024Global Reinforcement Learning : Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods
- ICML 2024Graph Positional and Structural Encoder
- ICML 2024How Deep Do We Need: Accelerating Training and Inference of Neural ODEs via Control Perspective
- ICML 2024How Language Model Hallucinations Can Snowball
- ICML 2024How to Escape Sharp Minima with Random Perturbations
- ICML 2024Hybrid$^2$ Neural ODE Causal Modeling and an Application to Glycemic Response
- ICML 2024I/O Complexity of Attention, or How Optimal is FlashAttention?
- ICML 2024Improving Computational Complexity in Statistical Models with Local Curvature Information
- ICML 2024Indirectly Parameterized Concrete Autoencoders
- ICML 2024Individualized Privacy Accounting via Subsampling with Applications in Combinatorial Optimization
- ICML 2024Information Complexity of Stochastic Convex Optimization: Applications to Generalization, Memorization, and Tracing
- ICML 2024Interpreting and Improving Large Language Models in Arithmetic Calculation
- ICML 2024Language Models as Science Tutors
- ICML 2024Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments
- ICML 2024Learning High-Order Relationships of Brain Regions
- ICML 2024Liouville Flow Importance Sampler
- ICML 2024Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics
- ICML 2024Measures of diversity and space-filling designs for categorical data
- ICML 2024MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
- ICML 2024Minimizing $f$-Divergences by Interpolating Velocity Fields
- ICML 2024Multiplicative Weights Update, Area Convexity and Random Coordinate Descent for Densest Subgraph Problems
- ICML 2024Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedback
- ICML 2024Neural Operators with Localized Integral and Differential Kernels
- ICML 2024Neuro-Visualizer: A Novel Auto-Encoder-Based Loss Landscape Visualization Method With an Application in Knowledge-Guided Machine Learning
- ICML 2024Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization
- ICML 2024Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates
- ICML 2024Not all distributional shifts are equal: Fine-grained robust conformal inference
- ICML 2024On a Neural Implementation of Brenier's Polar Factorization
- ICML 2024On the Asymptotic Distribution of the Minimum Empirical Risk
- ICML 2024On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows
- ICML 2024Online Learning under Budget and ROI Constraints via Weak Adaptivity
- ICML 2024Optimal Kernel Quantile Learning with Random Features
- ICML 2024Position: $C^*$-Algebraic Machine Learning $-$ Moving in a New Direction
- ICML 2024Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience
- ICML 2024Position: Application-Driven Innovation in Machine Learning
- ICML 2024Position: Beyond Personhood: Agency, Accountability, and the Limits of Anthropomorphic Ethical Analysis
- ICML 2024Position: Insights from Survey Methodology can Improve Training Data
- ICML 2024Position: Mission Critical – Satellite Data is a Distinct Modality in Machine Learning
- ICML 2024Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI
- ICML 2024Position: What Can Large Language Models Tell Us about Time Series Analysis
- ICML 2024Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks
- ICML 2024Predictive Coding beyond Correlations
- ICML 2024Pruned Pivot: Correlation Clustering Algorithm for Dynamic, Parallel, and Local Computation Models
- ICML 2024Quality-Weighted Vendi Scores And Their Application To Diverse Experimental Design
- ICML 2024Quantum Theory and Application of Contextual Optimal Transport
- ICML 2024Rapid Learning without Catastrophic Forgetting in the Morris Water Maze
- ICML 2024Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations
- ICML 2024Regression Learning with Limited Observations of Multivariate Outcomes and Features
- ICML 2024REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates
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可以直接复制这句话问 AI
用 paperlist 查应用 · neuroscience and cognitive science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": "app-neuroscience-and-cognitive-science"}
常见问题
- 2023–2026 年四大会议一共有多少篇应用 · neuroscience and cognitive science论文？
- 共 2,033 篇，按年份分别是 2023 年 183 篇、2024 年 424 篇、2025 年 673 篇、2026 年 753 篇。
- NeurIPS 2026 有多少篇应用 · neuroscience and cognitive science论文？
- NeurIPS 2026 有 227 篇应用 · neuroscience and cognitive science论文，上一届是 342 篇。
- ICLR 2026 有多少篇应用 · neuroscience and cognitive science论文？
- ICLR 2026 有 229 篇应用 · neuroscience and cognitive science论文，上一届是 151 篇。
- ICML 2026 有多少篇应用 · neuroscience and cognitive science论文？
- ICML 2026 有 263 篇应用 · neuroscience and cognitive science论文，上一届是 157 篇。
- CVPR 2026 有多少篇应用 · neuroscience and cognitive science论文？
- CVPR 2026 有 34 篇应用 · neuroscience and cognitive science论文，上一届是 23 篇。
- 哪个会议的应用 · neuroscience and cognitive science论文最多？
- NeurIPS，2023–2026 年共 824 篇。