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 / 241 papers shown

Title
Minimizing Risk Through Minimizing Model-Data Interaction: A Protocol For Relying on Proxy Tasks When Designing Child Sexual Abuse Imagery Detection Models Thamiris Coelho Leo S. F. Ribeiro João Macedo J. A. dos Santos Sandra Avila 29 0 0 10 May 2025
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 33 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 87 3 0 17 Jan 2025
Transforming Game Play: A Comparative Study of DCQN and DTQN Architectures in Reinforcement Learning William A. Stigall 62 0 0 14 Oct 2024
Online Nonconvex Bilevel Optimization with Bregman Divergences Jason Bohne David Rosenberg Gary Kazantsev Pawel Polak 32 0 0 16 Sep 2024
A New First-Order Meta-Learning Algorithm with Convergence Guarantees El Mahdi Chayti Martin Jaggi 30 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 33 0 0 30 Aug 2024
Joint Neural Networks for One-shot Object Recognition and Detection Camilo Vargas Qianni Zhang E. Izquierdo ObjD VLM 46 0 0 01 Aug 2024
Assessing Sample Quality via the Latent Space of Generative Models Jingyi Xu Hieu M. Le Dimitris Samaras MedIm 42 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 42 1 0 24 Jun 2024
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers Guangtao Zheng Wenqian Ye Aidong Zhang 54 0 0 15 Jun 2024
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation Erik Landolsi Fredrik Kahl DiffM 58 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 35 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 39 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 36 11 0 13 Apr 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 49 0 0 23 Mar 2024
Frozen Feature Augmentation for Few-Shot Image Classification Andreas Bär N. Houlsby Mostafa Dehghani Manoj Kumar VLM 34 4 0 15 Mar 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 39 0 0 29 Jan 2024
Exploring intra-task relations to improve meta-learning algorithms P. Agarwal Shreya Singh OOD 37 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 32 1 0 27 Dec 2023
Generalized Few-Shot Point Cloud Segmentation Via Geometric Words Yating Xu Conghui Hu Na Zhao Gim Hee Lee 3DPC 25 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 29 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 39 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 50 2 0 09 Jul 2023
LPN: Language-guided Prototypical Network for few-shot classification Kaihui Cheng Chule Yang Xiao Liu Naiyang Guan Zhiyuan Wang 47 0 0 04 Jul 2023
SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot Learning Tao Zhang Wu Huang 21 2 0 30 May 2023
LSFSL: Leveraging Shape Information in Few-shot Learning Deepan Padmanabhan Shruthi Gowda Elahe Arani Bahram Zonooz 31 6 0 13 Apr 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning Xinyun Zhang Lanqing Hong OODD 43 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 24 40 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 22 0 0 03 Apr 2023
What Makes for Effective Few-shot Point Cloud Classification? Chuangguan Ye Erik Cambria Yongbin Liao Yang-ting Zhang Tao Chen Jiayuan Fan 3DPC 27 26 0 31 Mar 2023
Do Prosody Transfer Models Transfer Prosody? A. Sigurgeirsson Simon King DiffM 12 7 0 07 Mar 2023
Amortised Invariance Learning for Contrastive Self-Supervision Ruchika Chavhan Henry Gouk Jan Stuehmer Calum Heggan Mehrdad Yaghoobi Timothy M. Hospedales SSL 40 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 26 32 0 16 Feb 2023
Efficient Gradient Approximation Method for Constrained Bilevel Optimization Siyuan Xu Minghui Zhu 29 20 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 28 19 0 23 Dec 2022
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 38 3 0 22 Dec 2022
Cap2Aug: Caption guided Image to Image data Augmentation Aniket Roy Anshul B. Shah Ketul Shah Anirban Roy Rama Chellappa DiffM 31 0 0 11 Dec 2022
Few-shot Medical Image Segmentation with Cycle-resemblance Attention Hao Ding Changchang Sun Hao Tang Dawen Cai Yan Yan 41 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 26 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 38 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 31 5 0 16 Nov 2022
Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition Youcheng Huang Wenqiang Lei Jie Fu Jiancheng Lv 19 3 0 07 Nov 2022
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation Yong Wu Shekhor Chanda M. Hosseinzadeh Zhi Liu Yang Wang VLM 29 7 0 18 Oct 2022
Knowledge-Driven New Drug Recommendation Zhenbang Wu Huaxiu Yao Zhe Su David M. Liebovitz Lucas Glass James Zou Chelsea Finn Jimeng Sun 26 4 0 11 Oct 2022
Schedule-Robust Online Continual Learning Ruohan Wang Marco Ciccone Giulia Luise A. Yapp Massimiliano Pontil C. Ciliberto CLL 32 4 0 11 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps Kuilin Chen Chi-Guhn Lee SSL 40 3 0 07 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning Mayug Maniparambil Kevin McGuinness Noel E. O'Connor 34 3 0 05 Oct 2022
Exploring Effective Knowledge Transfer for Few-shot Object Detection Zhiyuan Zhao Qingjie Liu Yunhong Wang 40 9 0 05 Oct 2022