| Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient | Feb 7, 2025 | Computational EfficiencyMixture-of-Experts | —Unverified | 0 |
| Mixture of neural operator experts for learning boundary conditions and model selection | Feb 6, 2025 | Mixture-of-ExpertsModel Selection | —Unverified | 0 |
| Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach | Feb 5, 2025 | Adversarial RobustnessMixture-of-Experts | —Unverified | 0 |
| ReGNet: Reciprocal Space-Aware Long-Range Modeling for Crystalline Property Prediction | Feb 4, 2025 | Computational EfficiencyLong-range modeling | —Unverified | 0 |
| Brief analysis of DeepSeek R1 and it's implications for Generative AI | Feb 4, 2025 | GPUMixture-of-Experts | —Unverified | 0 |
| M2R2: Mixture of Multi-Rate Residuals for Efficient Transformer Inference | Feb 4, 2025 | Mixture-of-Experts | —Unverified | 0 |
| MJ-VIDEO: Fine-Grained Benchmarking and Rewarding Video Preferences in Video Generation | Feb 3, 2025 | BenchmarkingFairness | —Unverified | 0 |
| CLIP-UP: A Simple and Efficient Mixture-of-Experts CLIP Training Recipe with Sparse Upcycling | Feb 3, 2025 | Mixture-of-Experts | —Unverified | 0 |
| MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs | Feb 3, 2025 | Mathematical ReasoningMixture-of-Experts | —Unverified | 0 |
| Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective | Feb 2, 2025 | FairnessImage Segmentation | CodeCode Available | 0 |
