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1703.03129
Cited By
Learning to Remember Rare Events
9 March 2017
Lukasz Kaiser
Ofir Nachum
Aurko Roy
Samy Bengio
RALM
CLL
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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
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