Edo Cohen-Karlik
9 papers · 2019–2024 · 7 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (24) π£ Hot Topic Early Bird
π
Grand Slam
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Research topics
Deep Learning
(7)
Machine Learning
(7)
Architectures
(4)
Core Methods
(4)
Learning Types Β· Machine Learning
(4)
Optimization & Theory
(4)
Natural Language Processing
(3)
Artificial Intelligence
(2)
Applications
(2)
Core AI
(2)
Generation
(2)
Learning Types Β· Deep Learning
(2)
Models
(2)
Reinforcement Learning
(1)
Robotics
(1)
Keywords
recurrent neural network
(3)
neural network
(3)
gradient descent
(2)
feature learning
(1)
text classification
(1)
policy gradient
(1)
natural language processing
(1)
grammatical error correction
(1)
text generation
(1)
bert model
(1)
stochastic regularization
(1)
generalization error
(1)
exploration
(1)
linear quadratic regulator
(1)
f-score optimization
(1)
text editing
(1)
state space model
(1)
ensemble learning
(1)
ensemble method
(1)
sequence modeling
(1)
Papers
Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States
ICML 2024
Provable Benefits of Complex Parameterizations for Structured State Space Models
NeurIPS 2024
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets
ICLR 2023
On the Implicit Bias of Gradient Descent for Temporal Extrapolation
AISTATS 2022
A Large-Scale Dataset for Argument Quality Ranking: Construction and Analysis
AAAI 2020
Regularizing Towards Permutation Invariance In Recurrent Models
NeurIPS 2020
The workweek is the best time to start a family β A Study of GPT-2 Based Claim Generation
EMNLP 2020
Automatic Argument Quality Assessment - New Datasets and Methods
EMNLP 2019
Learning to combine Grammatical Error Corrections
ACL 2019