Grzegorz Swirszcz
9 papers · 2009–2024 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (22) π£ Hot Topic Early Bird
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Research topics
Machine Learning
(9)
Optimization & Theory Β· Machine Learning
(7)
Deep Learning
(6)
Core Methods
(3)
Learning Types
(3)
Optimization & Theory Β· Deep Learning
(3)
Computer Vision
(2)
Application Areas
(2)
Architectures
(2)
Processing
(2)
Artificial Intelligence
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Core AI
(1)
Methods
(1)
Keywords
neural network optimization
(2)
group lasso
(2)
neural network
(2)
knowledge distillation
(2)
variable selection
(2)
feature selection
(1)
logistic regression
(1)
orthogonal matching pursuit
(1)
convex relaxation
(1)
knowledge transfer
(1)
policy learning
(1)
model safety
(1)
deep learning
(1)
video classification
(1)
model parallelism
(1)
group sparsity
(1)
gradient estimation
(1)
function approximation
(1)
neural network training
(1)
deep reinforcement learning
(1)
Papers
Stepping on the Edge: Curvature Aware Learning Rate Tuners
NeurIPS 2024
Gradient Forward-Propagation for Large-Scale Temporal Video Modelling
CVPR 2021
Sideways: Depth-Parallel Training of Video Models
CVPR 2020
Distilling Policy Distillation
AISTATS 2019
Verification of Non-Linear Specifications for Neural Networks
ICLR 2019
Sobolev Training for Neural Networks
NeurIPS 2017
Understanding Synthetic Gradients and Decoupled Neural Interfaces
ICML 2017
Group Orthogonal Matching Pursuit for Logistic Regression
AISTATS 2011
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction
NeurIPS 2009