Learning to Remember Rare Events

9 March 2017

Papers citing "Learning to Remember Rare Events"

50 / 56 papers shown

Title
LC-Protonets: Multi-Label Few-Shot Learning for World Music Audio Tagging Charilaos Papaioannou Emmanouil Benetos Alexandros Potamianos 34 0 0 17 Sep 2024
In-Context Learning for Few-Shot Molecular Property Prediction Christopher Fifty J. Leskovec Sebastian Thrun 36 5 0 13 Oct 2023
AST-MHSA : Code Summarization using Multi-Head Self-Attention Y. Nagaraj U. Gupta 16 1 0 10 Aug 2023
Unbiased Scene Graph Generation in Videos Sayak Nag Kyle Min Subarna Tripathi A. Roy-Chowdhury 29 29 0 03 Apr 2023
Memory-Augmented Theory of Mind Network D. Nguyen Phuoc Nguyen Hung Le Kien Do Svetha Venkatesh T. Tran 25 6 0 17 Jan 2023
Graceful Forgetting II. Data as a Process Alain de Cheveigné 24 0 0 20 Nov 2022
Token Turing Machines Michael S. Ryoo K. Gopalakrishnan Kumara Kahatapitiya Ted Xiao Kanishka Rao Austin Stone Yao Lu Julian Ibarz Anurag Arnab 27 21 0 16 Nov 2022
Explaining Cross-Domain Recognition with Interpretable Deep Classifier Yiheng Zhang Ting Yao Zhaofan Qiu Tao Mei OOD 29 3 0 15 Nov 2022
SyncTalkFace: Talking Face Generation with Precise Lip-Syncing via Audio-Lip Memory Se Jin Park Minsu Kim Joanna Hong J. Choi Y. Ro CVBM 21 85 0 02 Nov 2022
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization K. Pham Hung Le Man Ngo T. Tran OODD 30 1 0 23 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
Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks Lang Liu M. M. Fard Sen Zhao OOD 23 3 0 04 Feb 2022
Cross Modal Retrieval with Querybank Normalisation Simion-Vlad Bogolin Ioana Croitoru Hailin Jin Yang Liu Samuel Albanie 27 84 0 23 Dec 2021
Hierarchical Variational Memory for Few-shot Learning Across Domains Yingjun Du Xiantong Zhen Ling Shao Cees G. M. Snoek VLM BDL 38 21 0 15 Dec 2021
A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark Zhenxi Zhu Limin Wang Sheng Guo Gangshan Wu 41 32 0 24 Oct 2021
Across-Task Neural Architecture Search via Meta Learning Jingtao Rong Xinyi Yu Mingyang Zhang L. Ou 21 1 0 12 Oct 2021
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging Hongru Wang Zezhong Wang Gabriel Pui Cheong Fung Kam-Fai Wong OffRL CLL 27 10 0 26 Aug 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Pengfei Liu Weizhe Yuan Jinlan Fu Zhengbao Jiang Hiroaki Hayashi Graham Neubig VLM SyDa 31 3,831 0 28 Jul 2021
Few-shot Learning with Global Relatedness Decoupled-Distillation Yuanen Zhou Yanrong Guo Shijie Hao Richang Hong Zhen junzha Meng Wang 19 1 0 12 Jul 2021
Few-shot Partial Multi-view Learning Yuanen Zhou Yanrong Guo Shijie Hao Richang Hong Jiebo Luo 33 1 0 05 May 2021
Video Prediction Recalling Long-term Motion Context via Memory Alignment Learning Sangmin Lee Hak Gu Kim Dae Hwi Choi Hyungil Kim Yong Man Ro 31 102 0 02 Apr 2021
A Neighbourhood Framework for Resource-Lean Content Flagging Sheikh Muhammad Sarwar Dimitrina Zlatkova Momchil Hardalov Yoan Dinkov Isabelle Augenstein Preslav Nakov 16 5 0 31 Mar 2021
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning Tyler R. Scott Andrew C. Gallagher Michael C. Mozer 25 38 0 29 Mar 2021
MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection VS Vibashan Vikram Gupta Poojan Oza Vishwanath A. Sindagi Vishal M. Patel 22 182 0 07 Mar 2021
Learning to Learn Variational Semantic Memory Xiantong Zhen Yingjun Du Huan Xiong Qiang Qiu Cees G. M. Snoek Ling Shao SSL BDL VLM DRL 15 34 0 20 Oct 2020
Generalized Few-Shot Video Classification with Video Retrieval and Feature Generation Yongqin Xian Bruno Korbar Matthijs Douze Lorenzo Torresani Bernt Schiele Zeynep Akata VGen 18 18 0 09 Jul 2020
Meta-Graph: Few Shot Link Prediction via Meta Learning A. Bose Ankit Jain Piero Molino William L. Hamilton 30 63 0 20 Dec 2019
Generalization through Memorization: Nearest Neighbor Language Models Urvashi Khandelwal Omer Levy Dan Jurafsky Luke Zettlemoyer M. Lewis RALM 51 808 0 01 Nov 2019
Meta-Neighborhoods Siyuan Shan Yang Li Junier Oliva 19 13 0 18 Sep 2019
Learning to Propagate for Graph Meta-Learning Lu Liu Dinesh Manocha Guodong Long Jing Jiang Chengqi Zhang 21 96 0 11 Sep 2019
Few-Shot Learning with Global Class Representations Tiange Luo Aoxue Li Tao Xiang Weiran Huang Liwei Wang 16 114 0 14 Aug 2019
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference Cuong C. Nguyen Thanh-Toan Do G. Carneiro OOD BDL UQCV 19 54 0 27 Jul 2019
Boosting Few-Shot Visual Learning with Self-Supervision Spyros Gidaris Andrei Bursuc N. Komodakis P. Pérez Matthieu Cord SSL 22 400 0 12 Jun 2019
Coloring With Limited Data: Few-Shot Colorization via Memory-Augmented Networks Seungjoo Yoo Hyojin Bahng Sunghyo Chung Junsoo Lee Jaehyuk Chang Jaegul Choo VLM MQ 22 122 0 09 Jun 2019
Tiresias: Predicting Security Events Through Deep Learning Yun Shen Enrico Mariconti Pierre-Antoine Vervier Gianluca Stringhini AAML 21 159 0 24 May 2019
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module Tiago Ramalho M. Garnelo BDL 33 77 0 07 Feb 2019
Few-shot Learning with Meta Metric Learners Yu Cheng Mo Yu Xiaoxiao Guo Bowen Zhou 22 19 0 26 Jan 2019
Global-to-local Memory Pointer Networks for Task-Oriented Dialogue Chien-Sheng Wu R. Socher Caiming Xiong 13 165 0 15 Jan 2019
Concept Learning through Deep Reinforcement Learning with Memory-Augmented Neural Networks Jing Shi Jiaming Xu Yiqun Yao Bo Xu 28 24 0 15 Nov 2018
Abstractive Summarization of Reddit Posts with Multi-level Memory Networks Byeongchang Kim Hyunwoo J. Kim Gunhee Kim 12 181 0 02 Nov 2018
Fast deep reinforcement learning using online adjustments from the past S. Hansen Pablo Sprechmann Alexander Pritzel André Barreto Charles Blundell TTA OffRL OnRL 16 42 0 18 Oct 2018
The Variational Homoencoder: Learning to learn high capacity generative models from few examples Luke B. Hewitt Maxwell Nye Andreea Gane Tommi Jaakkola J. Tenenbaum BDL DRL GAN 28 68 0 24 Jul 2018
Meta-Learning Probabilistic Inference For Prediction Jonathan Gordon J. Bronskill Matthias Bauer Sebastian Nowozin Richard Turner BDL 45 263 0 24 May 2018
A Simple Cache Model for Image Recognition Emin Orhan VLM 17 30 0 21 May 2018
Task-Agnostic Meta-Learning for Few-shot Learning Muhammad Abdullah Jamal Guo-Jun Qi M. Shah 37 456 0 20 May 2018
Marrying up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding Bingfeng Luo Yansong Feng Zheng Wang Songfang Huang Rui Yan Dongyan Zhao 11 39 0 15 May 2018
Guiding Neural Machine Translation with Retrieved Translation Pieces Jingyi Zhang Masao Utiyama Eiichiro Sumita Graham Neubig Satoshi Nakamura AAML 30 135 0 07 Apr 2018
Fast Parametric Learning with Activation Memorization Jack W. Rae Chris Dyer Peter Dayan Timothy Lillicrap KELM 27 46 0 27 Mar 2018
Cross-domain Recommendation via Deep Domain Adaptation Heishiro Kanagawa Hayato Kobayashi N. Shimizu Yukihiro Tagami Taiji Suzuki 21 92 0 08 Mar 2018
Learning to Remember Translation History with a Continuous Cache Zhaopeng Tu Yang Liu Shuming Shi Tong Zhang CLL 38 179 0 26 Nov 2017