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 49 篇，第 1 / 1 页

1. ICML 2023A Coupled Flow Approach to Imitation Learning
2. ICML 2023Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations
3. ICML 2023Adaptive Whitening in Neural Populations with Gain-modulating Interneurons
4. ICML 2023Analyzing Diffusion as Serial Reproduction
5. ICML 2023Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
6. ICML 2023Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach
7. ICML 2023Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning
8. ICML 2023Contextual Combinatorial Bandits with Probabilistically Triggered Arms
9. ICML 2023Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity
10. ICML 2023Cross-Entropy Loss Functions: Theoretical Analysis and Applications
11. ICML 2023D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching
12. ICML 2023Delay-agnostic Asynchronous Coordinate Update Algorithm
13. ICML 2023Difference of submodular minimization via DC programming
14. ICML 2023Differentially Private Hierarchical Clustering with Provable Approximation Guarantees
15. ICML 2023DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference
16. ICML 2023DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation
17. ICML 2023Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification
18. ICML 2023GOAT: A Global Transformer on Large-scale Graphs
19. ICML 2023Harmonic Neural Networks
20. ICML 2023Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes
21. ICML 2023Infinite Action Contextual Bandits with Reusable Data Exhaust
22. ICML 2023Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs
23. ICML 2023Learning Antidote Data to Individual Unfairness
24. ICML 2023Learning Functional Distributions with Private Labels
25. ICML 2023Learning Mixtures of Gaussians with Censored Data
26. ICML 2023Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning
27. ICML 2023Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference
28. ICML 2023Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps
29. ICML 2023On Penalty-based Bilevel Gradient Descent Method
30. ICML 2023On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
31. ICML 2023Optimal LP Rounding and Linear-Time Approximation Algorithms for Clustering Edge-Colored Hypergraphs
32. ICML 2023Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits
33. ICML 2023Partial Optimality in Cubic Correlation Clustering
34. ICML 2023Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation
35. ICML 2023Quantum 3D Graph Learning with Applications to Molecule Embedding
36. ICML 2023Rotation and Translation Invariant Representation Learning with Implicit Neural Representations
37. ICML 2023Sampling random graph homomorphisms and applications to network data analysis
38. ICML 2023Sampling-based Nyström Approximation and Kernel Quadrature
39. ICML 2023Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning
40. ICML 2023Smooth Non-stationary Bandits
41. ICML 2023Stochastic Gradient Descent under Markovian Sampling Schemes
42. ICML 2023The Persistent Laplacian for Data Science: Evaluating Higher-Order Persistent Spectral Representations of Data
43. ICML 2023The Statistical Scope of Multicalibration
44. ICML 2023Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting
45. ICML 2023Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten
46. ICML 2023Trainability, Expressivity and Interpretability in Gated Neural ODEs
47. ICML 2023Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies
48. ICML 2023Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap
49. ICML 2023Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality

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。