Applications · neuroscience and cognitive science papers, 2023–2026

Application area: neuroscience_and_cognitive_science

Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 2,033 papers are tagged with this topic.

Key findings

Papers per year

Papers per venue

Counts by year and venue

Applications · neuroscience and cognitive science papers by year and venue
YearNeurIPSICLRICMLCVPRTotal
202366444924183
20241899910729424
202534215115723673
202622722926334753

Representative papers

Spread across years and venues so every edition shows up

All Applications · neuroscience and cognitive science papers

44 papers, page 1 of 1

  1. ICLR 2023A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet
  2. ICLR 2023A Primal-Dual Framework for Transformers and Neural Networks
  3. ICLR 2023A probabilistic framework for task-aligned intra- and inter-area neural manifold estimation
  4. ICLR 2023A Theoretical Framework for Inference and Learning in Predictive Coding Networks
  5. ICLR 2023A View From Somewhere: Human-Centric Face Representations
  6. ICLR 2023Actionable Neural Representations: Grid Cells from Minimal Constraints
  7. ICLR 2023Anisotropic Message Passing: Graph Neural Networks with Directional and Long-Range Interactions
  8. ICLR 2023Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning
  9. ICLR 2023Bayesian Oracle for bounding information gain in neural encoding models
  10. ICLR 2023Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint
  11. ICLR 2023BrainBERT: Self-supervised representation learning for intracranial recordings
  12. ICLR 2023Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes
  13. ICLR 2023Can Neural Networks Learn Implicit Logic from Physical Reasoning?
  14. ICLR 2023Contextual bandits with concave rewards, and an application to fair ranking
  15. ICLR 2023D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory
  16. ICLR 2023Distilling Cognitive Backdoor Patterns within an Image
  17. ICLR 2023Efficient approximation of neural population structure and correlations with probabilistic circuits
  18. ICLR 2023FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities
  19. ICLR 2023Harnessing Out-Of-Distribution Examples via Augmenting Content and Style
  20. ICLR 2023How gradient estimator variance and bias impact learning in neural networks
  21. ICLR 2023HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork
  22. ICLR 2023Learned Index with Dynamic $\epsilon$
  23. ICLR 2023MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-Linear Functions
  24. ICLR 2023ManyDG: Many-domain Generalization for Healthcare Applications
  25. ICLR 2023Min-Max Multi-objective Bilevel Optimization with Applications in Robust Machine Learning
  26. ICLR 2023Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport
  27. ICLR 2023Noise-Robust De-Duplication at Scale
  28. ICLR 2023On the Importance and Applicability of Pre-Training for Federated Learning
  29. ICLR 2023On the Sensitivity of Reward Inference to Misspecified Human Models
  30. ICLR 2023On the Trade-Off between Actionable Explanations and the Right to be Forgotten
  31. ICLR 2023Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning
  32. ICLR 2023Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning
  33. ICLR 2023Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path
  34. ICLR 2023Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
  35. ICLR 2023Simplicial Hopfield networks
  36. ICLR 2023SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing
  37. ICLR 2023Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representations
  38. ICLR 2023Training language models to summarize narratives improves brain alignment
  39. ICLR 2023Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles
  40. ICLR 2023What Can we Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers?
  41. ICLR 2023Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning
  42. ICLR 2023WiNeRT: Towards Neural Ray Tracing for Wireless Channel Modelling and Differentiable Simulations
  43. ICLR 2023Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic
  44. ICLR 2023Words are all you need? Language as an approximation for human similarity judgments

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FAQ

How many Applications · neuroscience and cognitive science papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
2,033 in total: 183 in 2023, 424 in 2024, 673 in 2025, 753 in 2026.
How many Applications · neuroscience and cognitive science papers are at NeurIPS 2026?
NeurIPS 2026 has 227 Applications · neuroscience and cognitive science papers, versus 342 the year before.
How many Applications · neuroscience and cognitive science papers are at ICLR 2026?
ICLR 2026 has 229 Applications · neuroscience and cognitive science papers, versus 151 the year before.
How many Applications · neuroscience and cognitive science papers are at ICML 2026?
ICML 2026 has 263 Applications · neuroscience and cognitive science papers, versus 157 the year before.
How many Applications · neuroscience and cognitive science papers are at CVPR 2026?
CVPR 2026 has 34 Applications · neuroscience and cognitive science papers, versus 23 the year before.
Which conference publishes the most Applications · neuroscience and cognitive science papers?
NeurIPS, with 824 papers from 2023 to 2026.

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