redundancy reduction
Redundancy reduction entails minimizing the repetition of information in datasets or model representations, enhancing efficiency and improving model performance.
- Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization
- Approximate Gradient Coding for Distributed Learning with Heterogeneous Stragglers
- Learning Efficient Fuse-and-Refine for Feed-Forward 3D Gaussian Splatting
- Mixture-of-Experts Operator Transformer for Large-Scale PDE Pre-Training
- RayFusion: Ray Fusion Enhanced Collaborative Visual Perception
- TrackingWorld: World-centric Monocular 3D Tracking of Almost All Pixels