Federated Learning for Collaborative Inference Systems: The Case of Early Exit Networks Paper • 2405.04249 • Published Aug 21, 2024
Bandits in Flux: Adversarial Constraints in Dynamic Environments Paper • 2601.19867 • Published Jan 27
Telco-oRAG: Optimizing Retrieval-augmented Generation for Telecom Queries via Hybrid Retrieval and Neural Routing Paper • 2505.11856 • Published Dec 2, 2025
Online Submodular Maximization via Online Convex Optimization Paper • 2309.04339 • Published Jan 8, 2024
Towards Inference Delivery Networks: Distributing Machine Learning with Optimality Guarantees Paper • 2105.02510 • Published Aug 15, 2023
KVCompose: Efficient Structured KV Cache Compression with Composite Tokens Paper • 2509.05165 • Published Sep 5, 2025 • 2
DrivingVoxels: Compositional Sparse Voxel Rasterization for Dynamic Driving Scene Reconstruction Paper • 2606.23031 • Published Jun 22
From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning Paper • 2504.15722 • Published Apr 22, 2025
A Bayesian Perspective on the Role of Epistemic Uncertainty for Delayed Generalization in In-Context Learning Paper • 2604.12434 • Published Apr 14
The Initialization Determines Whether In-Context Learning Is Gradient Descent Paper • 2512.04268 • Published Dec 3, 2025
Class Balanced Dynamic Acquisition for Domain Adaptive Semantic Segmentation using Active Learning Paper • 2311.14146 • Published Nov 23, 2023
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models Paper • 2206.05173 • Published Jun 10, 2022
Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation Paper • 2408.00766 • Published Aug 1, 2024