Rustem Takhanov
9 papers · 2013–2024 · 8 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Conference Polyglot (8) π Academic Marathon (11) π Cross-Pollinator (13) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(15)
π§
Keyword Pioneer
π
Trend Setter
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Conference Pioneer
Conferences
AAAI (2)
ACML (1)
COLING (1)
EMNLP (1)
ICML (1)
IJCAI (1)
NAACL (1)
UAI (1)
Top co-authors
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)
semantic decomposition
(1)
gradient descent
(1)
spectral norm
(1)
pointwise mutual information
(1)
weight sharing
(1)
marginal probability
(1)
random matrix theory
(1)
partition function
(1)
graphical model
(1)
generalization bound
(1)
language model
(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
Semantics- and Syntax-Related Subvectors in the Skip-Gram Embeddings (Student Abstract)
AAAI 2020
Context Vectors Are Reflections of Word Vectors in Half the Dimensions (Extended Abstract)
IJCAI 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