RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised
Learning

RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning

14 June 2021

Krishnateja Killamsetty

Rishabh K. Iyer

Papers citing "RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning"

12 / 12 papers shown

Title
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure Zehang Deng Ruoxi Sun Minhui Xue Sheng Wen S. Çamtepe Surya Nepal Yang Xiang 35 1 0 24 May 2024
ATOM: Attention Mixer for Efficient Dataset Distillation Samir Khaki A. Sajedi Kai Wang Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis 44 3 0 02 May 2024
Effective pruning of web-scale datasets based on complexity of concept clusters Amro Abbas E. Rusak Kushal Tirumala Wieland Brendel Kamalika Chaudhuri Ari S. Morcos VLM CLIP 34 22 0 09 Jan 2024
DEFT: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection Devleena Das Vivek Khetan 21 0 0 25 Oct 2023
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning Vladan Stojnić Zakaria Laskar Giorgos Tolias 31 0 0 07 Jul 2023
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning Patrik Okanovic R. Waleffe Vasilis Mageirakos Konstantinos E. Nikolakakis Amin Karbasi Dionysis Kalogerias Nezihe Merve Gürel Theodoros Rekatsinas DD 39 12 0 28 May 2023
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining Sang Michael Xie Hieu H. Pham Xuanyi Dong Nan Du Hanxiao Liu Yifeng Lu Percy Liang Quoc V. Le Tengyu Ma Adams Wei Yu MoMe MoE 31 174 0 17 May 2023
A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction P. Samoaa Linus Aronsson Antonio Longa Philipp Leitner M. Chehreghani 19 6 0 06 Apr 2023
Open-Set Likelihood Maximization for Few-Shot Learning Malik Boudiaf Etienne Bennequin Myriam Tami Antoine Toubhans Pablo Piantanida C´eline Hudelot Ismail Ben Ayed BDL 26 10 0 20 Jan 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 39 121 0 17 Jan 2023
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 314 11,681 0 09 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016