MSDNet

Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation, ECCV 2020 Oral

[NeurIPS'24] Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy

This repository features RARE-UNet a resolution-aware 3D U-Net for adaptive medical segmentation. It uses multi-scale entry blocks and resolution-based routing to dynamically adjust the inference path to input resolution. Combined with consistency-based training, RARE-UNet delivers accurate, efficient segmentation across resolutions.

Scalable framework for adaptive LLM serving: classify prompt complexity → select quantized drafts → verify with FP16 target, no model retraining required.

Adaptive Multi-Path Reasoning for LLMs — 80× efficiency improvement with perfect calibration (ECE<0.01)

PyTorch implementation of "Train for the Worst, Plan for the Best." Investigating adaptive token ordering in Masked Diffusion Models (MDMs) to sidestep hard subproblems and elicit reasoning in discrete domains.