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2210.00881
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Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network
23 September 2022
Mario Krenn
L. Buffoni
B. Coutinho
S. Eppel
J. Foster
Andrew Gritsevskiy
Harlin Lee
Yichao Lu
João P. Moutinho
Nima Sanjabi
Rishi Sonthalia
Ngoc M. Tran
Francisco Valente
Yangxinyu Xie
Rose Yu
Michael K Kopp
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Papers citing
"Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network"
14 / 14 papers shown
Title
Discovering emergent connections in quantum physics research via dynamic word embeddings
Felix Frohnert
Xuemei Gu
Mario Krenn
Evert P L van Nieuwenburg
AI4CE
19
0
0
10 Nov 2024
Towards Graph Prompt Learning: A Survey and Beyond
Qingqing Long
Yuchen Yan
Peiyan Zhang
Chen Fang
Wentao Cui
...
Shiyue Jiang
Zheng Fang
Chong Chen
Xian-Sheng Hua
Yuanchun Zhou
AI4CE
34
0
0
26 Aug 2024
Activation Space Selectable Kolmogorov-Arnold Networks
Zhuoqin Yang
Jiansong Zhang
Xiaoling Luo
Zheng Lu
Linlin Shen
34
5
0
15 Aug 2024
Towards a Science Exocortex
Kevin G. Yager
74
0
0
24 Jun 2024
Position: Embracing Negative Results in Machine Learning
Florian Karl
Lukas Malte Kemeter
Gabriel Dax
Paulina Sierak
23
0
0
06 Jun 2024
SPACE-IDEAS: A Dataset for Salient Information Detection in Space Innovation
Andrés García-Silva
Cristian Berrío
José Manuél Gómez-Pérez
21
0
0
25 Mar 2024
Shallow Synthesis of Knowledge in GPT-Generated Texts: A Case Study in Automatic Related Work Composition
Anna Martin-Boyle
Aahan Tyagi
Marti A. Hearst
Dongyeop Kang
26
8
0
19 Feb 2024
Forecasting high-impact research topics via machine learning on evolving knowledge graphs
Xuemei Gu
Mario Krenn
AI4CE
8
4
0
13 Feb 2024
Artistic Strategies to Guide Neural Networks
Varvara Guljajeva
M. Sola
Isaac Joseph Clarke
11
4
0
06 Jul 2023
An Efficient Two-stage Gradient Boosting Framework for Short-term Traffic State Estimation
Yichao Lu
22
1
0
21 Feb 2023
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
4,048
0
24 May 2022
On the Paradox of Learning to Reason from Data
Honghua Zhang
Liunian Harold Li
Tao Meng
Kai-Wei Chang
Guy Van den Broeck
NAI
ReLM
OOD
LRM
132
103
0
23 May 2022
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
Andreas Fürst
Elisabeth Rumetshofer
Johannes Lehner
Viet-Hung Tran
Fei Tang
...
David P. Kreil
Michael K Kopp
G. Klambauer
Angela Bitto-Nemling
Sepp Hochreiter
VLM
CLIP
199
102
0
21 Oct 2021
Automated Deep Learning Analysis of Angiography Video Sequences for Coronary Artery Disease
Chengyang Zhou
Thao Vy Dinh
Heyi Kong
J. Yap
K. Yeo
H. Lee
Kaicheng Liang
16
12
0
29 Jan 2021
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