practical applications
Practical applications refer to the real-world use cases of AI models and techniques, showcasing their applicability in industries like healthcare, finance, transportation, and entertainment.
- $\text{G}^2\text{M}$: A Generalized Gaussian Mirror Method to Boost Feature Selection Power
- A Beyond-Worst-Case Analysis of Greedy k-means++
- A Single-Loop Gradient Algorithm for Pessimistic Bilevel Optimization via Smooth Approximation
- AnomalyCoT: A Multi-Scenario Chain-of-Thought Dataset for Multimodal Large Language Models
- PrefixKV: Adaptive Prefix KV Cache is What Vision Instruction-Following Models Need for Efficient Generation
- Projective Equivariant Networks via Second-order Fundamental Differential Invariants
- Provable Scaling Laws for the Test-Time Compute of Large Language Models
- Semi-supervised Vertex Hunting, with Applications in Network and Text Analysis
- State Size Independent Statistical Error Bound for Discrete Diffusion Models
- Through the Lens: Benchmarking Deepfake Detectors Against Moiré-Induced Distortions
- VORTA: Efficient Video Diffusion via Routing Sparse Attention