Research Area
#Computer science#Artificial intelligence#Psychology#Inference#Probabilistic logic#Cognitive psychology#Linguistics#Cognitive science#Natural language processing#Pragmatics
SCIE paper information
Papers relevant to ‘Computer science’: 41
Research performance of SCIE papers matching with ‘Computer science’
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Rational Use of Cognitive Resources: Levels of Analysis Between the Computational and the Algorithmic
2015/04 TOPICS IN COGNITIVE SCIENCE 2.241 Impact Factor 348 citations
Pyro: deep universal probabilistic programming
2019/01 JOURNAL OF MACHINE LEARNING RESEARCH 3.484 Impact Factor 306 citations
Papers for author ‘Noah Goodman’: 84
Number of published SCIE papers by year
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
One and done? Optimal decisions from very few samples.
2014/05 COGNITIVE SCIENCE 2.446 Impact Factor 437 citations
Rational Use of Cognitive Resources: Levels of Analysis Between the Computational and the Algorithmic
2015/04 TOPICS IN COGNITIVE SCIENCE 2.241 Impact Factor 348 citations
conference information
Papers relevant to ‘Computer science’: 14
Research performance of Top-tier Conference matching with ‘Computer science’
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
2017/09 NEURIPS Top-tier Conference 171 citations
Multimodal Generative Models for Scalable Weakly-Supervised Learning
2018/02 NEURIPS Top-tier Conference 132 citations
Papers for author ‘Noah Goodman’: 15
Number of published Top-tier Conference by year
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
2017/09 NEURIPS Top-tier Conference 171 citations
Multimodal Generative Models for Scalable Weakly-Supervised Learning
2018/02 NEURIPS Top-tier Conference 132 citations
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