Official implementation of OneDiffusion paper (CVPR 2025)

Official implementation of POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples (NeurIPS 2021)

Network Pruning That Matters: A Case Study on Retraining Variants (ICLR 2021)

Knowledge distillation from Ensembles of Iterative pruning (BMVC 2020)

Learning in Noisy MDP (which is governed by stochastic, exogenous input processes) with input-dependent baseline

In search of effective and efficient Pipeline for Distillating Knowledge in Convolutional Neural Networks

Warmup learning rate wrapper for Pytorch Scheduler