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1512.08756
Cited By
Feed-Forward Networks with Attention Can Solve Some Long-Term Memory Problems
29 December 2015
Colin Raffel
D. Ellis
CLL
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Papers citing
"Feed-Forward Networks with Attention Can Solve Some Long-Term Memory Problems"
23 / 23 papers shown
Title
A Systematic Review of Deep Learning-based Research on Radiology Report Generation
Chang Liu
Yuanhe Tian
Yan Song
MedIm
27
15
0
23 Nov 2023
N-ACT: An Interpretable Deep Learning Model for Automatic Cell Type and Salient Gene Identification
Abbas-Ali Heydari
Oscar A. Davalos
K. Hoyer
Suzanne S. Sindi
25
2
0
08 May 2022
Language vs Speaker Change: A Comparative Study
Jagabandhu Mishra
S. M. I. S. R. Mahadeva Prasanna
13
0
0
05 Mar 2022
Clustering Text Using Attention
Lovedeep Singh
8
2
0
08 Jan 2022
Zero-shot Singing Technique Conversion
Brendan T. O'Connor
S. Dixon
Georgy Fazekas
19
5
0
16 Nov 2021
Weakly Supervised Attention-based Models Using Activation Maps for Citrus Mite and Insect Pest Classification
Edson Bollis
H. Maia
Hélio Pedrini
Sandra Avila
27
18
0
02 Oct 2021
Are the Multilingual Models Better? Improving Czech Sentiment with Transformers
Pavel Přibáň
J. Steinberger
28
11
0
24 Aug 2021
Attention Back-end for Automatic Speaker Verification with Multiple Enrollment Utterances
Chang Zeng
Xin Wang
Erica Cooper
Xiaoxiao Miao
Junichi Yamagishi
31
20
0
04 Apr 2021
Skeleton Aware Multi-modal Sign Language Recognition
Songyao Jiang
Bin Sun
Lichen Wang
Yue Bai
Kunpeng Li
Y. Fu
SLR
25
165
0
16 Mar 2021
Simple or Complex? Learning to Predict Readability of Bengali Texts
Susmoy Chakraborty
Mir Tafseer Nayeem
Wasi Uddin Ahmad
16
19
0
09 Dec 2020
PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data
A. Mohammed
I. Farup
Marius Pedersen
Sule YAYILGAN YILDIRIM
Ø. Hovde
23
18
0
22 Nov 2020
Improving Interpretability for Computer-aided Diagnosis tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-based Explanations
Antoine Pirovano
H. Heuberger
Sylvain Berlemont
Saïd Ladjal
Isabelle Bloch
6
12
0
29 Sep 2020
AUTSL: A Large Scale Multi-modal Turkish Sign Language Dataset and Baseline Methods
Ozge Mercanoglu Sincan
H. Keles
SLR
16
168
0
03 Aug 2020
Pedestrian Tracking with Gated Recurrent Units and Attention Mechanisms
Mahdi Elhousni
Xinming Huang
6
0
0
31 May 2020
Linking Social Media Posts to News with Siamese Transformers
Jacob Danovitch
16
2
0
10 Jan 2020
Automatic Driver Identification from In-Vehicle Network Logs
Mina Remeli
Szilvia Lestyán
G. Ács
G. Biczók
16
15
0
25 Oct 2019
SMILES-X: autonomous molecular compounds characterization for small datasets without descriptors
G. Lambard
Ekaterina Gracheva
19
20
0
20 Jun 2019
Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances
Eda Okur
Shachi H. Kumar
Saurav Sahay
Asli Arslan Esme
L. Nachman
13
19
0
23 Apr 2019
Attention Mechanism in Speaker Recognition: What Does It Learn in Deep Speaker Embedding?
Qiongqiong Wang
K. Okabe
Kong Aik Lee
Hitoshi Yamamoto
Takafumi Koshinaka
14
31
0
25 Sep 2018
Foresee: Attentive Future Projections of Chaotic Road Environments with Online Training
Anil Sharma
Prabhat Kumar
16
2
0
30 May 2018
Adaptive pooling operators for weakly labeled sound event detection
Brian McFee
Justin Salamon
J. P. Bello
17
148
0
26 Apr 2018
Attentive Statistics Pooling for Deep Speaker Embedding
K. Okabe
Takafumi Koshinaka
K. Shinoda
13
522
0
29 Mar 2018
Deep Learning with Dynamic Computation Graphs
Moshe Looks
Marcello Herreshoff
DeLesley S. Hutchins
Peter Norvig
GNN
AI4CE
34
131
0
07 Feb 2017
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