Niru Maheswaranathan
13 papers · 2015–2021 · 3 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3) π Cross-Pollinator (4)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(22)
π
Interdisciplinary Bridge
π
Triple Crown
π§¬
Topic Evolution
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(53)
π
Century Club
(13)
π
Trend Setter
Conferences
NIPS (6)
ICML (5)
ICLR (2)
Top co-authors
Keywords
recurrent neural network
(4)
learned optimizer
(3)
sentiment classification
(2)
neural network optimization
(2)
dynamical system
(2)
gradient descent
(2)
natural language processing
(1)
sentiment analysis
(1)
stochastic gradient descent
(1)
neural network interpretability
(1)
learning rate adaptation
(1)
sensory processing
(1)
computational neuroscience
(1)
canonical correlation analysis
(1)
natural scenes
(1)
attention mechanism
(1)
line attractor
(1)
random search
(1)
bag-of-words model
(1)
neural encoding
(1)
Papers
Reverse engineering learned optimizers reveals known and novel mechanisms
NIPS 2021
Understanding How Encoder-Decoder Architectures Attend
NIPS 2021
The geometry of integration in text classification RNNs
ICLR 2021
How recurrent networks implement contextual processing in sentiment analysis
ICML 2020
Meta-Learning Update Rules for Unsupervised Representation Learning
ICLR 2019
Universality and individuality in neural dynamics across large populations of recurrent networks
NIPS 2019
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics
NIPS 2019
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction
NIPS 2019
Guided evolutionary strategies: augmenting random search with surrogate gradients
ICML 2019
Understanding and correcting pathologies in the training of learned optimizers
ICML 2019
Learned Optimizers that Scale and Generalize
ICML 2017
Deep Learning Models of the Retinal Response to Natural Scenes
NIPS 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
ICML 2015