| Perks and Pitfalls of Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs | Jun 21, 2024 | InformativenessOut-of-Distribution Generalization | —Unverified | 0 |
| Deep Temporal Deaggregation: Large-Scale Spatio-Temporal Generative Models | Jun 18, 2024 | Out-of-Distribution GeneralizationTime Series | —Unverified | 0 |
| Insect Identification in the Wild: The AMI Dataset | Jun 18, 2024 | Data AugmentationDiversity | CodeCode Available | 0 |
| Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex | Jun 16, 2024 | BenchmarkingObject Recognition | —Unverified | 0 |
| Enhancing Anomaly Detection Generalization through Knowledge Exposure: The Dual Effects of Augmentation | Jun 15, 2024 | Anomaly DetectionOut-of-Distribution Generalization | CodeCode Available | 0 |
| Exploring the Benefits of Vision Foundation Models for Unsupervised Domain Adaptation | Jun 14, 2024 | Domain AdaptationOut-of-Distribution Generalization | CodeCode Available | 1 |
| Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning | Jun 13, 2024 | Out-of-Distribution GeneralizationTime Series | CodeCode Available | 1 |
| Is Programming by Example solved by LLMs? | Jun 12, 2024 | Code GenerationOut-of-Distribution Generalization | —Unverified | 0 |
| How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad | Jun 10, 2024 | Out-of-Distribution Generalization | CodeCode Available | 1 |
| CTBENCH: A Library and Benchmark for Certified Training | Jun 7, 2024 | Out-of-Distribution Generalization | CodeCode Available | 0 |
| Learning Divergence Fields for Shift-Robust Graph Representations | Jun 7, 2024 | Causal InferenceOut-of-Distribution Generalization | CodeCode Available | 1 |
| Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize | Jun 5, 2024 | Out-of-Distribution Generalization | CodeCode Available | 1 |
| Explicitly Encoding Structural Symmetry is Key to Length Generalization in Arithmetic Tasks | Jun 4, 2024 | Code GenerationLogical Reasoning | —Unverified | 0 |
| Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks | Jun 4, 2024 | In-Context LearningOut-of-Distribution Generalization | CodeCode Available | 1 |
| Domain Game: Disentangle Anatomical Feature for Single Domain Generalized Segmentation | Jun 4, 2024 | Brain Tumor SegmentationDiagnostic | —Unverified | 0 |
| Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift | Jun 2, 2024 | Out-of-Distribution Generalization | —Unverified | 0 |
| Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data | May 27, 2024 | Out-of-Distribution Generalization | —Unverified | 0 |
| Causal-aware Graph Neural Architecture Search under Distribution Shifts | May 26, 2024 | Graph EmbeddingNeural Architecture Search | —Unverified | 0 |
| Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning | May 25, 2024 | Contrastive LearningOut-of-Distribution Generalization | —Unverified | 0 |
| What Variables Affect Out-of-Distribution Generalization in Pretrained Models? | May 23, 2024 | Out-of-Distribution Generalization | —Unverified | 0 |
| Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization | May 23, 2024 | AllOut-of-Distribution Generalization | —Unverified | 0 |
| Automated Text Identification Using CNN and Training Dynamics | May 18, 2024 | Out-of-Distribution Generalization | —Unverified | 0 |
| Harnessing Collective Structure Knowledge in Data Augmentation for Graph Neural Networks | May 17, 2024 | Anomaly DetectionData Augmentation | CodeCode Available | 0 |
| A Brief Introduction to Causal Inference in Machine Learning | May 14, 2024 | Causal InferenceOut-of-Distribution Generalization | CodeCode Available | 1 |
| Adapting to Distribution Shift by Visual Domain Prompt Generation | May 5, 2024 | Domain GeneralizationMeta-Learning | CodeCode Available | 1 |
