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| A separability-based approach to quantifying generalization: which layer is best? | May 2, 2024 | Domain AdaptationDomain Generalization | CodeCode Available | 0 |
| Invariant Risk Minimization Is A Total Variation Model | May 2, 2024 | DenoisingOut-of-Distribution Generalization | CodeCode Available | 0 |
| Cross-Domain Causal Preference Learning for Out-of-Distribution Recommendation | Apr 23, 2024 | Out-of-Distribution GeneralizationRecommendation Systems | CodeCode Available | 0 |
| An Information-Theoretic Framework for Out-of-Distribution Generalization with Applications to Stochastic Gradient Langevin Dynamics | Mar 29, 2024 | Generalization BoundsOut-of-Distribution Generalization | —Unverified | 0 |
| On the Benefits of Over-parameterization for Out-of-Distribution Generalization | Mar 26, 2024 | Out-of-Distribution Generalization | —Unverified | 0 |
| SYNAPSE: SYmbolic Neural-Aided Preference Synthesis Engine | Mar 25, 2024 | Autonomous DrivingOut-of-Distribution Generalization | —Unverified | 0 |
| IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History | Mar 24, 2024 | Decision MakingImitation Learning | —Unverified | 0 |
| Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering | Mar 22, 2024 | Open-Domain Question AnsweringOut-of-Distribution Generalization | CodeCode Available | 0 |
| Early Period of Training Impacts Adaptation for Out-of-Distribution Generalization: An Empirical Study | Mar 22, 2024 | Out-of-Distribution Generalization | —Unverified | 0 |
| Transfer Learning Beyond Bounded Density Ratios | Mar 18, 2024 | In-Context LearningOut-of-Distribution Generalization | —Unverified | 0 |
| Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation | Mar 12, 2024 | Contrastive LearningData Augmentation | CodeCode Available | 0 |
| Towards Robust Out-of-Distribution Generalization Bounds via Sharpness | Mar 11, 2024 | Generalization BoundsOut-of-Distribution Generalization | —Unverified | 0 |
| Beyond Finite Data: Towards Data-free Out-of-distribution Generalization via Extrapolation | Mar 8, 2024 | Domain GeneralizationImage Generation | —Unverified | 0 |
| A Survey on Evaluation of Out-of-Distribution Generalization | Mar 4, 2024 | Out-of-Distribution GeneralizationSurvey | —Unverified | 0 |
| Vision Transformers with Natural Language Semantics | Feb 27, 2024 | Inductive BiasOut-of-Distribution Generalization | —Unverified | 0 |
| A Neural Rewriting System to Solve Algorithmic Problems | Feb 27, 2024 | Language ModelingLanguage Modelling | —Unverified | 0 |
| Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective | Feb 13, 2024 | Out-of-Distribution Generalization | —Unverified | 0 |
| HYPO: Hyperspherical Out-of-Distribution Generalization | Feb 12, 2024 | Out-of-Distribution Generalization | —Unverified | 0 |
| On the Out-Of-Distribution Generalization of Multimodal Large Language Models | Feb 9, 2024 | In-Context LearningOut-of-Distribution Generalization | —Unverified | 0 |
| On Provable Length and Compositional Generalization | Feb 7, 2024 | DiversityOut-of-Distribution Generalization | CodeCode Available | 0 |
| Neural Language of Thought Models | Feb 2, 2024 | Image GenerationObject | —Unverified | 0 |
| Towards Understanding Variants of Invariant Risk Minimization through the Lens of Calibration | Jan 31, 2024 | Out-of-Distribution Generalization | CodeCode Available | 0 |
| Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Survey | Jan 22, 2024 | AttributeDeep Learning | —Unverified | 0 |
| InvariantOODG: Learning Invariant Features of Point Clouds for Out-of-Distribution Generalization | Jan 8, 2024 | Domain AdaptationDomain Generalization | —Unverified | 0 |