Artem Sokolov
17 papers · 2012–2024 · 8 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (37)
🧭
Keyword Pioneer
🗃️
Keyword Collector
(72)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
🌈
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(9)
Natural Language Processing
(7)
Learning Types · Machine Learning
(7)
Applications
(6)
Optimization & Theory
(6)
Deep Learning
(5)
Artificial Intelligence
(4)
Learning Types · Deep Learning
(4)
Application Areas
(3)
Core AI
(3)
Core Methods
(3)
Learning Paradigms
(3)
Mathematics & Optimization
(2)
Optimization
(2)
Reinforcement Learning
(1)
Keywords
neural machine translation
(3)
imitation learning
(2)
bandit feedback
(2)
structured prediction
(2)
machine translation
(2)
domain adaptation
(2)
control variate
(2)
natural language processing
(2)
text generation
(1)
knowledge distillation
(1)
sequence modeling
(1)
attention mechanism
(1)
curriculum learning
(1)
non-convex optimization
(1)
heuristic search
(1)
inverse reinforcement learning
(1)
efficient computing
(1)
model interpretability
(1)
reinforcement learning from human feedback
(1)
online learning
(1)
Papers
Imitating Language via Scalable Inverse Reinforcement Learning
NeurIPS 2024
Hybrid Dataset for Speech Emotion Recognition in Russian Language
Interspeech 2023
Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic Transcripts
ACL 2023
Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets
EMNLP 2023
Scaling Up Influence Functions
AAAI 2022
Bandits Don’t Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits
EMNLP 2021
Controlling Machine Translation for Multiple Attributes with Additive Interventions
EMNLP 2021
Don’t Search for a Search Method — Simple Heuristics Suffice for Adversarial Text Attacks
EMNLP 2021
Learning to Segment Inputs for NMT Favors Character-Level Processing
EMNLP 2018
Bandit Structured Prediction for Neural Sequence-to-Sequence Learning
ACL 2017
Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation
EMNLP 2017
Learning Structured Predictors from Bandit Feedback for Interactive NLP
ACL 2016
Stochastic Structured Prediction under Bandit Feedback
NeurIPS 2016
A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation
CoNLL 2015
Learning Translational and Knowledge-based Similarities from Relevance Rankings for Cross-Language Retrieval
ACL 2014
Computing Lattice BLEU Oracle Scores for Machine Translation
EACL 2012
LIMSI: Learning Semantic Similarity by Selecting Random Word Subsets
SemEval 2012