Andrey Malinin
14 papers · 2016–2023 · 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
Jump to papers ↓+8 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (28) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Keyword Champion
(2)
π§
Keyword Pioneer
π§¬
Topic Evolution
π
Trend Setter
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(58)
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(8)
Bayesian & Probabilistic
(6)
Deep Learning
(5)
Optimization & Theory
(5)
Application Areas
(4)
Core AI
(4)
Learning Types Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(4)
Speech & Audio
(2)
Core Methods
(2)
Learning Paradigms
(2)
Recognition
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Keywords
uncertainty estimation
(5)
uncertainty quantification
(5)
automatic speech recognition
(3)
prior network
(3)
out-of-distribution detection
(3)
predictive uncertainty
(2)
spoken language assessment
(2)
dirichlet distribution
(2)
ensemble distillation
(2)
adversarial training
(1)
neural machine translation
(1)
structured prediction
(1)
probabilistic modeling
(1)
graph structure
(1)
kl divergence
(1)
batch normalization
(1)
bayesian inference
(1)
belief tracking
(1)
gradient boosting
(1)
gaussian process
(1)
Papers
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts
NeurIPS 2023
Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation
EMNLP 2021
On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay
NeurIPS 2021
Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets
NeurIPS 2021
Uncertainty Estimation in Autoregressive Structured Prediction
ICLR 2021
Uncertainty in Gradient Boosting via Ensembles
ICLR 2021
Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance
EMNLP 2021
Ensemble Approaches for Uncertainty in Spoken Language Assessment
Interspeech 2020
Ensemble Distribution Distillation
ICLR 2020
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness
NeurIPS 2019
Impact of ASR Performance on Free Speaking Language Assessment
Interspeech 2018
Predictive Uncertainty Estimation via Prior Networks
NeurIPS 2018
Incorporating Uncertainty into Deep Learning for Spoken Language Assessment
ACL 2017
Off-topic Response Detection for Spontaneous Spoken English Assessment
ACL 2016