应用 · neuroscience and cognitive science论文趋势 2023–2026

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。

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 183 篇，第 2 / 4 页

51. ICLR 2023Noise-Robust De-Duplication at Scale
52. ICLR 2023On the Importance and Applicability of Pre-Training for Federated Learning
53. ICLR 2023On the Sensitivity of Reward Inference to Misspecified Human Models
54. ICLR 2023On the Trade-Off between Actionable Explanations and the Right to be Forgotten
55. ICLR 2023Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning
56. ICLR 2023Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning
57. ICLR 2023Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path
58. ICLR 2023Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
59. ICLR 2023Simplicial Hopfield networks
60. ICLR 2023SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing
61. ICLR 2023Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representations
62. ICLR 2023Training language models to summarize narratives improves brain alignment
63. ICLR 2023Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles
64. ICLR 2023What Can we Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers?
65. ICLR 2023Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning
66. ICLR 2023WiNeRT: Towards Neural Ray Tracing for Wireless Channel Modelling and Differentiable Simulations
67. ICLR 2023Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic
68. ICLR 2023Words are all you need? Language as an approximation for human similarity judgments
69. ICML 2023A Coupled Flow Approach to Imitation Learning
70. ICML 2023Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations
71. ICML 2023Adaptive Whitening in Neural Populations with Gain-modulating Interneurons
72. ICML 2023Analyzing Diffusion as Serial Reproduction
73. ICML 2023Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
74. ICML 2023Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach
75. ICML 2023Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning
76. ICML 2023Contextual Combinatorial Bandits with Probabilistically Triggered Arms
77. ICML 2023Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity
78. ICML 2023Cross-Entropy Loss Functions: Theoretical Analysis and Applications
79. ICML 2023D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching
80. ICML 2023Delay-agnostic Asynchronous Coordinate Update Algorithm
81. ICML 2023Difference of submodular minimization via DC programming
82. ICML 2023Differentially Private Hierarchical Clustering with Provable Approximation Guarantees
83. ICML 2023DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference
84. ICML 2023DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation
85. ICML 2023Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification
86. ICML 2023GOAT: A Global Transformer on Large-scale Graphs
87. ICML 2023Harmonic Neural Networks
88. ICML 2023Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes
89. ICML 2023Infinite Action Contextual Bandits with Reusable Data Exhaust
90. ICML 2023Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs
91. ICML 2023Learning Antidote Data to Individual Unfairness
92. ICML 2023Learning Functional Distributions with Private Labels
93. ICML 2023Learning Mixtures of Gaussians with Censored Data
94. ICML 2023Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning
95. ICML 2023Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference
96. ICML 2023Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps
97. ICML 2023On Penalty-based Bilevel Gradient Descent Method
98. ICML 2023On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
99. ICML 2023Optimal LP Rounding and Linear-Time Approximation Algorithms for Clustering Edge-Colored Hypergraphs
100. ICML 2023Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits

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。