LaSO: Label-Set Operations networks for multi-label few-shot learning

LaSO: Label-Set Operations networks for multi-label few-shot learning

26 February 2019

Leonid Karlinsky

Papers citing "LaSO: Label-Set Operations networks for multi-label few-shot learning"

17 / 17 papers shown

Title
LC-Protonets: Multi-Label Few-Shot Learning for World Music Audio Tagging Charilaos Papaioannou Emmanouil Benetos Alexandros Potamianos 36 0 0 17 Sep 2024
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays Aroof Aimen Arsh Verma Makarand Tapaswi N. C. Krishnan 35 0 0 08 Sep 2023
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning Hiroki Nakamura Masashi Okada T. Taniguchi SSL NAI 28 0 0 08 Sep 2023
Knowledge-Enhanced Multi-Label Few-Shot Product Attribute-Value Extraction Jiaying Gong Wei-Te Chen Hoda Eldardiry VLM 13 6 0 16 Aug 2023
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection Fei Zhao Yuchen Shen Zhanghua Wu Xinyu Dai 35 11 0 09 Oct 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 50 344 0 13 May 2022
Multi-Narrative Semantic Overlap Task: Evaluation and Benchmark Naman Bansal Mousumi Akter Shubhra (Santu) Karmaker 31 0 0 14 Jan 2022
Meta-Learning for Multi-Label Few-Shot Classification Christian Simon Piotr Koniusz Mehrtash Harandi 18 25 0 26 Oct 2021
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities Elias Eulig Piyapat Saranrittichai Chaithanya Kumar Mummadi K. Rambach William H. Beluch Xiahan Shi Volker Fischer 148 11 0 12 Aug 2021
Multi-Label Few-Shot Learning for Aspect Category Detection Mengting Hu Shiwan Zhao Honglei Guo Chao Xue H. Gao Tiegang Gao Renhong Cheng Zhong Su 13 39 0 29 May 2021
Detecting Human-Object Interaction via Fabricated Compositional Learning Zhi Hou B. Yu Yu Qiao Xiaojiang Peng Dacheng Tao 33 96 0 15 Mar 2021
The Emerging Trends of Multi-Label Learning Weiwei Liu Haobo Wang Xiaobo Shen Ivor W. Tsang 38 252 0 23 Nov 2020
Few-shot Learning for Multi-label Intent Detection Yutai Hou Y. Lai Yushan Wu Wanxiang Che Ting Liu VLM 21 48 0 11 Oct 2020
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition Tianshui Chen Liang Lin Riquan Chen X. Hui Hefeng Wu 12 153 0 20 Sep 2020
Learning from Few Samples: A Survey Nihar Bendre Hugo Terashima-Marín Peyman Najafirad VLM BDL 26 54 0 30 Jul 2020
Delta-encoder: an effective sample synthesis method for few-shot object recognition Eli Schwartz Leonid Karlinsky J. Shtok Sivan Harary Mattias Marder Rogerio Feris Abhishek Kumar Raja Giryes A. Bronstein 192 351 0 12 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 341 11,684 0 09 Mar 2017