TADAM: Task dependent adaptive metric for improved few-shot learning

23 May 2018

Papers citing "TADAM: Task dependent adaptive metric for improved few-shot learning"

50 / 157 papers shown

Title
CVOCSemRPL: Class-Variance Optimized Clustering, Semantic Information Injection and Restricted Pseudo Labeling based Improved Semi-Supervised Few-Shot Learning Rhythm Baghel Souvik Maji Pratik Mazumder 31 0 0 24 Jan 2025
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms Fatemeh Askari Amirreza Fateh Mohammad Reza Mohammadi 67 3 0 17 Jan 2025
Transforming Game Play: A Comparative Study of DCQN and DTQN Architectures in Reinforcement Learning William A. Stigall 45 0 0 14 Oct 2024
A New First-Order Meta-Learning Algorithm with Convergence Guarantees El Mahdi Chayti Martin Jaggi 23 1 0 05 Sep 2024
Meta-UAD: A Meta-Learning Scheme for User-level Network Traffic Anomaly Detection Tongtong Feng Qi Qi Lingqi Guo Jingyu Wang 23 0 0 30 Aug 2024
Joint Neural Networks for One-shot Object Recognition and Detection Camilo Vargas Qianni Zhang E. Izquierdo ObjD VLM 32 0 0 01 Aug 2024
Assessing Sample Quality via the Latent Space of Generative Models Jingyi Xu Hieu M. Le Dimitris Samaras MedIm 30 2 0 21 Jul 2024
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting Tiange Zhang Qing Cai Feng Gao Lin Qi Junyu Dong 27 1 0 24 Jun 2024
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers Guangtao Zheng Wenqian Ye Aidong Zhang 40 0 0 15 Jun 2024
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation Erik Landolsi Fredrik Kahl DiffM 53 1 0 05 Jun 2024
Textless Acoustic Model with Self-Supervised Distillation for Noise-Robust Expressive Speech-to-Speech Translation Min-Jae Hwang Ilia Kulikov Benjamin Peloquin Hongyu Gong Peng-Jen Chen Ann Lee 27 1 0 04 Jun 2024
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text Yuyu Jia Qing Zhou Wei Huang Junyu Gao Qi. Wang VLM 22 1 0 21 May 2024
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning Yuwei Tang Zhenyi Lin Qilong Wang Pengfei Zhu Qinghua Hu 26 11 0 13 Apr 2024
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes Raphael Lafargue Yassir Bendou Bastien Pasdeloup J. Diguet Ian Reid Vincent Gripon Jack Valmadre 17 0 0 29 Jan 2024
Exploring intra-task relations to improve meta-learning algorithms P. Agarwal Shreya Singh OOD 17 1 0 27 Dec 2023
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection Hefei Mei Taijin Zhao Shiyuan Tang Heqian Qiu Lanxiao Wang Minjian Zhang Fanman Meng Hongliang Li ObjD 16 1 0 27 Dec 2023
Generalized Few-Shot Point Cloud Segmentation Via Geometric Words Yating Xu Conghui Hu Na Zhao Gim Hee Lee 3DPC 17 6 0 20 Sep 2023
Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data Seunghan Yang Byeonggeun Kim Kyuhong Shim Simyoung Chang 22 1 0 31 Aug 2023
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning Jianqing Zhang Yang Hua Hao Wang Tao Song Zhengui Xue Ruhui Ma Jianyin Cao Haibing Guan 33 23 0 20 Aug 2023
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models? Zihao Jiang Yunkai Dang Dong Pang Huishuai Zhang Weiran Huang VLM 26 2 0 09 Jul 2023
LPN: Language-guided Prototypical Network for few-shot classification Kaihui Cheng Chule Yang Xiao Liu Naiyang Guan Zhiyuan Wang 30 0 0 04 Jul 2023
LSFSL: Leveraging Shape Information in Few-shot Learning Deepan Padmanabhan Shruthi Gowda Elahe Arani Bahram Zonooz 23 6 0 13 Apr 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning Xinyun Zhang Lanqing Hong OODD 27 0 0 13 Apr 2023
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition Xiang Wang Shiwei Zhang Zhiwu Qing Changxin Gao Yingya Zhang Deli Zhao Nong Sang 19 39 0 03 Apr 2023
VGTS: Visually Guided Text Spotting for Novel Categories in Historical Manuscripts Wenjie Hu Hongjian Zhan Xinchen Ma Cong Liu Bing Yin Yue Lu 14 0 0 03 Apr 2023
Amortised Invariance Learning for Contrastive Self-Supervision Ruchika Chavhan H. Gouk Jan Stuehmer Calum Heggan Mehrdad Yaghoobi Timothy M. Hospedales SSL 27 11 0 24 Feb 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 22 32 0 16 Feb 2023
Efficient Gradient Approximation Method for Constrained Bilevel Optimization Siyuan Xu Minghui Zhu 11 19 0 03 Feb 2023
A Closer Look at Few-shot Classification Again Xu Luo Hao Wu Ji Zhang Lianli Gao Jing Xu Jingkuan Song 24 48 0 28 Jan 2023
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse Xiao Li Sheng Liu Jin-li Zhou Xin Lu C. Fernandez‐Granda Zhihui Zhu Q. Qu AAML 19 18 0 23 Dec 2022
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 33 3 0 22 Dec 2022
Few-shot Medical Image Segmentation with Cycle-resemblance Attention Hao Ding Changchang Sun Hao Tang Dawen Cai Yan Yan 34 45 0 07 Dec 2022
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge Yaxin Luopan Rui Han Qinglong Zhang Chi Harold Liu Guoren Wang FedML 16 18 0 04 Dec 2022
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes Yiqiao Jin Xiting Wang Y. Hao Yizhou Sun Xing Xie 28 11 0 24 Nov 2022
Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering Juan Zha Zheng Li Ying Wei Yu Zhang 15 5 0 16 Nov 2022
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation Yong Wu Shekhor Chanda M. Hosseinzadeh Zhi Liu Yang Wang VLM 27 7 0 18 Oct 2022
Knowledge-Driven New Drug Recommendation Zhenbang Wu Huaxiu Yao Zhe Su David M. Liebovitz Lucas Glass James Y. Zou Chelsea Finn Jimeng Sun 16 4 0 11 Oct 2022
Schedule-Robust Online Continual Learning Ruohan Wang Marco Ciccone Giulia Luise A. Yapp Massimiliano Pontil C. Ciliberto CLL 24 4 0 11 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning Mayug Maniparambil Kevin McGuinness Noel E. O'Connor 17 3 0 05 Oct 2022
Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings Aymane Abdali Vincent Gripon Lucas Drumetz Bartosz Bogusławski 19 1 0 23 Sep 2022
Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition Anqi Zhu Qiuhong Ke Mingming Gong James Bailey 31 20 0 21 Sep 2022
MAC: A Meta-Learning Approach for Feature Learning and Recombination S. Tiwari M. Gogoi S. Verma K. P. Singh CLL 18 1 0 20 Sep 2022
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification Yuqing Hu S. Pateux Vincent Gripon 16 15 0 18 Sep 2022
Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition M. Han Yibing Zhan Yong Luo Bo Du Han Hu Yonggang Wen Dacheng Tao 19 6 0 07 Sep 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 22 17 0 22 Aug 2022
RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence Kyungmin Lee Jinwoo Shin SSL DRL 22 10 0 12 Aug 2022
Convolutional Ensembling based Few-Shot Defect Detection Technique Soumyajit Karmakar Abeer Banerjee P. Gidde Sumeet Saurav S. Singh UQCV 11 2 0 05 Aug 2022
INTERACT: Achieving Low Sample and Communication Complexities in Decentralized Bilevel Learning over Networks Zhuqing Liu Xin Zhang Prashant Khanduri Songtao Lu Jia Liu 24 11 0 27 Jul 2022
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning Xingping Dong Shengcai Liao Bo Du Ling Shao 30 3 0 14 Jul 2022
Test-Time Adaptation via Self-Training with Nearest Neighbor Information M-U Jang Sae-Young Chung Hye Won Chung OOD TTA 25 56 0 08 Jul 2022