Learning a Universal Template for Few-shot Dataset Generalization

14 May 2021

Papers citing "Learning a Universal Template for Few-shot Dataset Generalization"

23 / 23 papers shown

Title
Flatness Improves Backbone Generalisation in Few-shot Classification Rui Li Martin Trapp Marcus Klasson Arno Solin 39 0 0 11 Apr 2024
In-Context Learning for Few-Shot Molecular Property Prediction Christopher Fifty J. Leskovec Sebastian Thrun 29 5 0 13 Oct 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 19 70 0 10 Jul 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 26 4 0 13 May 2023
Meta-Learning with a Geometry-Adaptive Preconditioner Suhyun Kang Duhun Hwang Moonjung Eo Taesup Kim Wonjong Rhee AI4CE 22 15 0 04 Apr 2023
SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarization Yi-Syuan Chen Yun-Zhu Song Hong-Han Shuai 33 6 0 24 Mar 2023
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification I. Ullah Dustin Carrión-Ojeda Sergio Escalera Isabelle M Guyon Mike Huisman F. Mohr Jan N van Rijn Haozhe Sun Joaquin Vanschoren P. Vu VLM 17 32 0 16 Feb 2023
Improving the Generalizability of Collaborative Dialogue Analysis with Multi-Feature Embeddings A. Enayet G. Sukthankar 10 1 0 09 Feb 2023
A Closer Look at Few-shot Classification Again Xu Luo Hao Wu Ji Zhang Lianli Gao Jing Xu Jingkuan Song 22 48 0 28 Jan 2023
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 25 3 0 22 Dec 2022
How to Train an Accurate and Efficient Object Detection Model on Any Dataset Galina Zalesskaya B. Bylicka Eugene Liu 3DH 26 3 0 30 Nov 2022
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts Yoonho Lee Annie S. Chen Fahim Tajwar Ananya Kumar Huaxiu Yao Percy Liang Chelsea Finn OOD 47 197 0 20 Oct 2022
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations Kai Yan A. Schwing Yu-xiong Wang OffRL 26 2 0 18 Oct 2022
NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results Dustin Carrión-Ojeda Hong Chen Adrian El Baz Sergio Escalera Chaoyu Guan Isabelle M Guyon I. Ullah Xin Eric Wang Wenwu Zhu VLM 10 6 0 31 Aug 2022
Constrained Few-Shot Learning: Human-Like Low Sample Complexity Learning and Non-Episodic Text Classification Jaron Mar Jiamou Liu 14 1 0 17 Aug 2022
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification Aliaksandra Shysheya J. Bronskill Massimiliano Patacchiola Sebastian Nowozin Richard E. Turner 3DH FedML 30 27 0 17 Jun 2022
TIML: Task-Informed Meta-Learning for Agriculture Gabriel Tseng Hannah Kerner David Rolnick 11 7 0 04 Feb 2022
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning Utku Evci Vincent Dumoulin Hugo Larochelle Michael C. Mozer 23 83 0 10 Jan 2022
Cross-domain Few-shot Learning with Task-specific Adapters Weihong Li Xialei Liu Hakan Bilen OOD 19 113 0 01 Jul 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 52 1,168 0 02 Mar 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution Amrith Rajagopal Setlur Oscar Li Virginia Smith 30 13 0 23 Feb 2021
TaskNorm: Rethinking Batch Normalization for Meta-Learning J. Bronskill Jonathan Gordon James Requeima Sebastian Nowozin Richard E. Turner 54 89 0 06 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017