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Title:

Learning Transferable Features with Deep Adaptation Networks

Abstract:

Learning Transferable Features with Deep Adaptation Networks

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# Title Author Topic Medium Score
1 Transfer Learning Materials Irene Li 1559
2 A Survey on Deep Transfer Learning Chuanqi Tan, Fuchun Sun, Tao Kong, Wenchang Zhang, Chao Yang, and C... 1333
3 Performance guarantees for transferring representations Daniel McNamara 1323
4 A Gentle Introduction to Transfer Learning for Deep Learning Jason Brownlee 999
5 The Fundamentals of Transfer learning - Anish Singh Walia - Medium Not Available None
6 Introduction to Convolutional Neural Networks Jon Shlens 1193
7 Transfer Learning — part 2 Ilya Prokin 9999
8 A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning Dipanjan (DJ) Sarkar 9999
9 Current & Future NLP Research A Few Random Remarks Jason Eisner 1108
10 Few-shot Learning: A Survey YAQING WANG 1183
11 Awesome - Most Cited Deep Learning Papers Terry Taewoong Um 1183
12 AutoML for large scale image classification and object detection Barret Zoph, Vijay Vasudevan, Jonathon Shlens, Quoc Le 713
13 An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder 1311
14 An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder 1311
15 On sentence representations, pt. 1: what can you fit into a single #$!%@*&% blog post? N/A 1188
16 Secure Learning in Adversarial Deep Learning Networks Bo Li 746
17 Transfer Learning Andrej Karpathy 1183
18 ADVERSARIAL MACHINE LEARNING (TUTORIAL) "YEVGENIY (EUGENE) VOROBEYCHIK, BO LI" 1306
19 One-Shot Imitation Learning Yan Duan, Marcin Andrychowicz, Bradly Stadie, Jonathan Ho, Jonas Sc... 9999
20 GitHub - jasonwu0731/trade-dst: Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743 Not Available 999
21 State-of-the-art Result for all Machine Learning Problems Reddit Sota 1181
22 Introducing state of the art text classification with universal language models Jeremy Howard, Sebastian Ruder 1162
23 Deep Learning Resources | Skymind Not Available None
24 Summaries and notes on Deep Learning research papers Denny Britz 1183
25 Transfer Learning and Multi-Task Learning Sergey Levine 1559
26 Transfer Learning - The Next Frontier for ML Sebastian Ruder 9999
27 Transfer Learning — part 1 Ilya Prokin 9999
28 Transfer Learning — part 1 Ilya Prokin 9999
29 Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification Xilun Chen, Ben Athiwaratkun, Yu Sun, Kilian Weinberger, Claire Cardie 9999
30 Transfer Learning - Machine Learnings Next Frontier Sebastian Ruder 1323
31 Transfer Learning - Machine Learning's Next Frontier Sebastian Ruder 9999
32 Correlation Alignment for Domain Adaptation Baochen Sun, Jiashi Feng, Kate Saenko 1134
33 Deep Learning Reading List Caglar Gulcehre 1181
34 Deep Learning Reading List Caglar Gulcehre 1181
35 Top 10 IPython Notebook Tutorials for Data Science and Machine Learning Matthew Mayo 1559
36 Pretrained ConvNets for pytorch Remi Cadene 744
37 Transfer learning from pre-trained models Pedro Marcelino 1323
38 Transfer Learning for NLP Sebastian Ruder 9999
39 Deep Learning for Natural Language Processing Tianchuan Du, Vijay K. Shanker 1181
40 Multilingual Sentiment and Subjectivity Analysis Rada Mihalcea, Carmen Banea, Janyce Wiebe 1122
41 Deep Learning for Natural Language Processing and Machine Translation Kevin Duh 1143
42 Networks, Reinforcement, Relational, Recurrent, Learning Petar Velickovic 1800
43 Multi-domain Neural Network Language Generation for Spoken Dialogue Systems Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Lina M Rojas-Barahona... 9999
44 An Overview of Proxy-label Approaches for Semi-supervised Learning Sebastian Ruder 1203
45 Speaker ID I Javier Hernando 1542
46 An overview of proxy-label approaches for semi-supervised learning None
47 Multi-domain Neural Network Language Generation for Spoken Dialogue Systems Tsung-Hsien Wen, Milica Gaši?, Nikola Mrkši?, Lina M. Rojas-Barahon... 9999
48 Toward Mention Detection Robustness with Recurrent Neural Networks Thien Huu Nguyen, Avirup Sil, Georgiana Dinu, Radu Florian 9999
49 NLP's ImageNet moment has arrived Sebastian Ruder 1338
50 Deep multi-task learning with low level tasks supervised at lower layers Anders Søgaard, Yoav Goldberg 9999