| HyperInvariances: Amortizing Invariance Learning | Jul 17, 2022 | Inductive Bias | —Unverified | 0 |
| Knowledge-Based Distant Regularization in Learning Probabilistic Models | Jun 29, 2018 | Inductive BiasKnowledge Graph Embeddings | —Unverified | 0 |
| DNF-Net: A Neural Architecture for Tabular Data | Jun 11, 2020 | feature selectionInductive Bias | —Unverified | 0 |
| Boosting Image Recognition with Non-differentiable Constraints | Oct 2, 2019 | BlockingInductive Bias | —Unverified | 0 |
| Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies | May 18, 2025 | Inductive BiasKnowledge Graphs | —Unverified | 0 |
| Lagrangian Neural Network with Differentiable Symmetries and Relational Inductive Bias | Oct 7, 2021 | Inductive Bias | —Unverified | 0 |
| Defending Backdoor Attacks on Vision Transformer via Patch Processing | Jun 24, 2022 | Backdoor AttackInductive Bias | —Unverified | 0 |
| Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesis | Mar 24, 2024 | DecoderImage Compression | —Unverified | 0 |
| Large-scale learning of generalised representations for speaker recognition | Oct 20, 2022 | Inductive BiasSpeaker Recognition | —Unverified | 0 |
| Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach | Oct 29, 2023 | Inductive BiasLink Prediction | —Unverified | 0 |
