Standout Papers

Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions 2011 2026 2016 2021 433
  1. Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions (2011)
    Richard Socher, Jeffrey Pennington et al. Empirical Methods in Natural Language Processing

Immediate Impact

4 by Nobel laureates 4 from Science/Nature 75 standout
Sub-graph 1 of 23

Citing Papers

Quantum many-body simulations on digital quantum computers: State-of-the-art and future challenges
2024 Standout
Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation
2024 Standout
2 intermediate papers

Works of Jeffrey Pennington being referenced

Geometry of neural network loss surfaces via random matrix theory
2017
Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions
2011 Standout

Author Peers

Author Last Decade Papers Cites
Jeffrey Pennington 664 139 144 148 29 998
Stephan Mandt 367 141 35 111 43 1.1k
Shinichi Nakajima 735 72 38 379 76 1.4k
Dietrich Klakow 523 42 250 81 96 1.1k
Aurélien Decelle 295 535 18 133 37 970
Hongyi Zhou 646 52 126 90 37 863
David B. Kirk 153 34 18 230 28 1.1k
Chengyuan Zhang 186 56 87 308 85 873
Sivasankaran Rajamanickam 162 84 41 241 75 1.3k
James R. Driscoll 166 37 33 216 20 914
Rudolf H. Riedi 177 305 18 148 51 1.3k

All Works

Loading papers...

Rankless by CCL
2026