Anton Osokin
14 papers · 2012–2023 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (36) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Trendsetter Combo
(4)
π§
Keyword Pioneer
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(6)
π
Conference Pioneer
ποΈ
Keyword Collector
(64)
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory
(6)
Core Methods
(4)
Natural Language Processing
(3)
Artificial Intelligence
(2)
Computer Vision
(2)
Deep Learning
(2)
Mathematics & Optimization
(2)
Applications
(2)
Architectures
(2)
Bayesian & Probabilistic
(2)
Learning Types
(2)
Optimization
(2)
Computer Science
(1)
Knowledge & Reasoning
(1)
Keywords
structured prediction
(3)
map inference
(2)
convex surrogate
(2)
graphical model
(2)
semantic parsing
(2)
learning theory
(2)
calibration function
(2)
tensor train
(2)
bayesian nonparametrics
(1)
question decomposition
(1)
image segmentation
(1)
model compression
(1)
sample complexity
(1)
energy minimization
(1)
machine translation
(1)
object detection
(1)
stochastic gradient descent
(1)
low-rank approximation
(1)
partition function
(1)
tensor decomposition
(1)
Papers
Searching for Better Database Queries in the Outputs of Semantic Parsers
EACL 2023
SPARQLing Database Queries from Intermediate Question Decompositions
EMNLP 2021
OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features
ECCV 2020
Quantifying Learning Guarantees for Convex but Inconsistent Surrogates
NeurIPS 2018
SEARNN: Training RNNs with global-local losses
ICLR 2018
GANs for Biological Image Synthesis
ICCV 2017
On Structured Prediction Theory with Calibrated Convex Surrogate Losses
NeurIPS 2017
Breaking Sticks and Ambiguities with Adaptive Skip-gram
AISTATS 2016
Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs
ICML 2016
Context-Aware CNNs for Person Head Detection
ICCV 2015
Tensorizing Neural Networks
NeurIPS 2015
Putting MRFs on a Tensor Train
ICML 2014
A Principled Deep Random Field Model for Image Segmentation
CVPR 2013
Minimizing Sparse High-Order Energies by Submodular Vertex-Cover
NeurIPS 2012