| Invariant Risk Minimization Is A Total Variation Model | May 2, 2024 | DenoisingOut-of-Distribution Generalization | CodeCode Available | 0 |
| MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts | May 2, 2024 | Combinatorial OptimizationMixture-of-Experts | CodeCode Available | 3 |
| A separability-based approach to quantifying generalization: which layer is best? | May 2, 2024 | Domain AdaptationDomain Generalization | CodeCode Available | 0 |
| In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery | Apr 29, 2024 | Out-of-Distribution Generalizationregression | CodeCode Available | 1 |
| Cross-Domain Causal Preference Learning for Out-of-Distribution Recommendation | Apr 23, 2024 | Out-of-Distribution GeneralizationRecommendation Systems | CodeCode Available | 0 |
| The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology | Apr 17, 2024 | Causal DiscoveryCausal Inference | CodeCode Available | 1 |
| N-Agent Ad Hoc Teamwork | Apr 16, 2024 | Autonomous DrivingMulti-agent Reinforcement Learning | CodeCode Available | 1 |
| 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 |
