Rustem Takhanov
9 papers · 2013–2024 · 8 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Half πΊοΈ Taxonomy Completionist (19) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver
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Conference Pioneer
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Trend Setter
Top co-authors
Research topics
Machine Learning
(8)
Natural Language Processing
(5)
Optimization & Theory
(5)
Deep Learning
(4)
Core Methods
(4)
Architectures
(3)
Generation
(3)
Resources & Methods
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Application Areas
(1)
Applications
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Models
(1)
Keywords
recurrent neural network
(2)
language modeling
(2)
neural language model
(2)
word embedding
(2)
semantic analysis
(1)
syntactic analysis
(1)
neural network training
(1)
language model
(1)
reproducing kernel hilbert space
(1)
gradient descent
(1)
spectral norm
(1)
pointwise mutual information
(1)
weight sharing
(1)
marginal probability
(1)
graphical model
(1)
partition function
(1)
generalization bound
(1)
random matrix theory
(1)
map inference
(1)
sequence labeling
(1)
Papers
Multi-layer random features and the approximation power of neural networks
UAI 2024
Hardness of Learning AES Key (Student Abstract)
AAAI 2023
Intractability of Learning the Discrete Logarithm with Gradient-Based Methods
ACML 2023
Context Vectors Are Reflections of Word Vectors in Half the Dimensions (Extended Abstract)
IJCAI 2020
Semantics- and Syntax-Related Subvectors in the Skip-Gram Embeddings (Student Abstract)
AAAI 2020
Reproducing and Regularizing the SCRN Model
COLING 2018
Reusing Weights in Subword-Aware Neural Language Models
NAACL 2018
Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones
EMNLP 2017
Inference algorithms for pattern-based CRFs on sequence data
ICML 2013