Vlado Menkovski
12 papers · 2020–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (37) π§ Keyword Pioneer π Conference Polyglot (8) π Academic Marathon (5)
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Cross-Pollinator
(14)
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Renaissance Researcher
(7)
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Interdisciplinary Bridge
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Century Club
(12)
ποΈ
Keyword Collector
(69)
Conferences
ACML (3)
ICML (2)
NIPS (2)
AAAI (1)
ACL (1)
EMNLP (1)
IJCAI (1)
UAI (1)
Top co-authors
Keywords
variational autoencoder
(2)
model compression
(2)
deep reinforcement learning
(1)
representation learning
(1)
lottery ticket hypothesis
(1)
zero-shot learning
(1)
metric learning
(1)
dialogue generation
(1)
semi-supervised learning
(1)
probabilistic modeling
(1)
manifold learning
(1)
text classification
(1)
uncertainty quantification
(1)
model robustness
(1)
natural language generation
(1)
semantic segmentation
(1)
text summarization
(1)
adversarial training
(1)
out-of-domain detection
(1)
neural network pruning
(1)
Papers
Deep Neural Cellular Potts Models
ICML 2025
Dynamic Sparsity Is Channel-Level Sparsity Learner
NIPS 2023
Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost
AAAI 2023
NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist
ACL 2023
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics
NIPS 2023
Superposing many tickets into one: A performance booster for sparse neural network training
UAI 2022
Quantifying and Learning Linear Symmetry-Based Disentanglement
ICML 2022
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection
EMNLP 2021
calibrated adversarial training
ACML 2021
Hierarchical Semantic Segmentation using Psychometric Learning
ACML 2021
Time-Constrained Multi-Agent Path Finding in Non-Lattice Graphs with Deep Reinforcement Learning
ACML 2021
Diffusion Variational Autoencoders
IJCAI 2020