Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks

30 May 2019

Papers citing "Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks"

30 / 30 papers shown

Title
Hand-Shadow Poser Hao Xu Yinqiao Wang Niloy J. Mitra Shuaicheng Liu Pheng-Ann Heng Chi-Wing Fu 3DH 36 0 0 11 May 2025
Fine-tune Language Models to Approximate Unbiased In-context Learning Timothy Chu Zhao Song Chiwun Yang 29 15 0 05 Oct 2023
AdaSelection: Accelerating Deep Learning Training through Data Subsampling Minghe Zhang Chaosheng Dong Jinmiao Fu Tianchen Zhou Jia Liang ... Bo Liu Michinari Momma Bryan Wang Yan Gao Yi Sun 35 3 0 19 Jun 2023
Exploring Efficient Few-shot Adaptation for Vision Transformers C. Xu Siqian Yang Yabiao Wang Zhanxiong Wang Yanwei Fu Xiangyang Xue 35 16 0 06 Jan 2023
Task Weighting in Meta-learning with Trajectory Optimisation Cuong C. Nguyen Thanh-Toan Do G. Carneiro 38 3 0 04 Jan 2023
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 38 3 0 22 Dec 2022
Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models Hong Liu Sang Michael Xie Zhiyuan Li Tengyu Ma AI4CE 40 49 0 25 Oct 2022
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification Bo-Wen Zhang Jiakang Yuan Baopu Li Tao Chen Jiayuan Fan Botian Shi ViT 29 31 0 02 Jul 2022
Realistic Evaluation of Transductive Few-Shot Learning Olivier Veilleux Malik Boudiaf Pablo Piantanida Ismail Ben Ayed 25 35 0 24 Apr 2022
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective Wenhao Ding Chejian Xu Mansur Arief Hao-ming Lin Bo-wen Li Ding Zhao 34 146 0 04 Feb 2022
Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks Lang Liu M. M. Fard Sen Zhao OOD 31 3 0 04 Feb 2022
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 41 81 0 26 Oct 2021
Self-supervised Learning is More Robust to Dataset Imbalance Hong Liu Jeff Z. HaoChen Adrien Gaidon Tengyu Ma OOD SSL 38 157 0 11 Oct 2021
Joint Debiased Representation Learning and Imbalanced Data Clustering Mina Rezaei Emilio Dorigatti David Rügamer Bernd Bischl SSL 27 3 0 11 Sep 2021
On the Importance of Regularisation & Auxiliary Information in OOD Detection John Mitros Brian Mac Namee 21 2 0 15 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 34 1 0 05 Jul 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets Hayeon Lee Eunyoung Hyung Sung Ju Hwang 40 43 0 02 Jul 2021
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning Hayeon Lee Sewoong Lee Song Chong Sung Ju Hwang 21 26 0 16 Jun 2021
SMIL: Multimodal Learning with Severely Missing Modality Mengmeng Ma Jian Ren Long Zhao Sergey Tulyakov Cathy H. Wu Xi Peng 59 239 0 09 Mar 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution Amrith Rajagopal Setlur Oscar Li Virginia Smith 38 13 0 23 Feb 2021
Connecting Context-specific Adaptation in Humans to Meta-learning Rachit Dubey Erin Grant Michael Luo Karthik R. Narasimhan Thomas Griffiths 24 4 0 27 Nov 2020
Teaching with Commentaries Aniruddh Raghu M. Raghu Simon Kornblith David Duvenaud Geoffrey E. Hinton 27 24 0 05 Nov 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling C. Kim Jinseo Jeong Gunhee Kim CLL 29 101 0 08 Sep 2020
Task-similarity Aware Meta-learning through Nonparametric Kernel Regression Arun Venkitaraman Anders Hansson B. Wahlberg 31 8 0 12 Jun 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 93 1,935 0 11 Apr 2020
Local Nonparametric Meta-Learning Wonjoon Goo S. Niekum 32 3 0 09 Feb 2020
Modular Meta-Learning with Shrinkage Yutian Chen A. Friesen Feryal M. P. Behbahani Arnaud Doucet David Budden Matthew W. Hoffman Nando de Freitas KELM OffRL 23 35 0 12 Sep 2019
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 228 498 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 176 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 443 11,715 0 09 Mar 2017