| A Gap Between the Gaussian RKHS and Neural Networks: An Infinite-Center Asymptotic Analysis | Feb 22, 2025 | Inductive Bias | —Unverified | 0 | 0 |
| A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning | Dec 1, 2021 | Active LearningInductive Bias | —Unverified | 0 | 0 |
| A General framework for PAC-Bayes Bounds for Meta-Learning | Jun 11, 2022 | Inductive BiasMeta-Learning | —Unverified | 0 | 0 |
| A Generalist Framework for Panoptic Segmentation of Images and Videos | Oct 12, 2022 | Inductive BiasPanoptic Segmentation | —Unverified | 0 | 0 |
| A General Purpose Neural Architecture for Geospatial Systems | Nov 4, 2022 | Disaster ResponseDiversity | —Unverified | 0 | 0 |
| A generic self-supervised learning (SSL) framework for representation learning from spectra-spatial feature of unlabeled remote sensing imagery | Jun 27, 2023 | Earth ObservationInductive Bias | —Unverified | 0 | 0 |
| Agent-Centric Representations for Multi-Agent Reinforcement Learning | Apr 19, 2021 | Inductive BiasMulti-agent Reinforcement Learning | —Unverified | 0 | 0 |
| A K-variate Time Series Is Worth K Words: Evolution of the Vanilla Transformer Architecture for Long-term Multivariate Time Series Forecasting | Dec 6, 2022 | DecoderInductive Bias | —Unverified | 0 | 0 |
| A law of adversarial risk, interpolation, and label noise | Jul 8, 2022 | Inductive Bias | —Unverified | 0 | 0 |
| Algorithmic Theories of Everything | Nov 30, 2000 | Inductive BiasPhilosophy | —Unverified | 0 | 0 |
| A lightweight Transformer-based model for fish landmark detection | Sep 13, 2022 | Inductive Bias | —Unverified | 0 | 0 |
| A Model of Inductive Bias Learning | Jun 1, 2011 | Inductive Biasmodel | —Unverified | 0 | 0 |
| Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions | May 5, 2017 | Inductive Bias | —Unverified | 0 | 0 |
| Analysis of ODE2VAE with Examples | Aug 10, 2021 | Inductive Bias | —Unverified | 0 | 0 |
| Analysis of the Relative Entropy Asymmetry in the Regularization of Empirical Risk Minimization | Jun 12, 2023 | Inductive Bias | —Unverified | 0 | 0 |
| Analyzing Generative Models by Manifold Entropic Metrics | Oct 25, 2024 | Inductive Bias | —Unverified | 0 | 0 |
| A neural anisotropic view of underspecification in deep learning | Apr 29, 2021 | Deep LearningFairness | —Unverified | 0 | 0 |
| An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels | Jun 13, 2024 | Image GenerationInductive Bias | —Unverified | 0 | 0 |
| An Operational Perspective to Fairness Interventions: Where and How to Intervene | Feb 3, 2023 | BenchmarkingFairness | —Unverified | 0 | 0 |
| A novel Deep Neural Network architecture for non-linear system identification | Jun 6, 2021 | Inductive BiasStochastic Optimization | —Unverified | 0 | 0 |
| A PAC-Bayesian Generalization Bound for Equivariant Networks | Oct 24, 2022 | Generalization BoundsInductive Bias | —Unverified | 0 | 0 |
| Application of Structured State Space Models to High energy physics with locality-sensitive hashing | Jan 27, 2025 | Inductive BiasMamba | —Unverified | 0 | 0 |
| Applying Plain Transformers to Real-World Point Clouds | Feb 28, 2023 | Inductive Biasobject-detection | —Unverified | 0 | 0 |
| Applying statistical learning theory to deep learning | Nov 26, 2023 | Deep LearningInductive Bias | —Unverified | 0 | 0 |
| Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images | Oct 3, 2023 | image-classificationImage Classification | —Unverified | 0 | 0 |