Kamil Adamczewski
12 papers · 2015–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (7) π Academic Marathon (10)
π
Renaissance Researcher
(6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(23)
π
Century Club
(12)
β
The Questioner
Conferences
ICML (4)
AISTATS (2)
CVPR (2)
AAAI (1)
CORL (1)
ECCV (1)
ICCV (1)
Top co-authors
Research topics
Keywords
variational inference
(3)
kernel mean embedding
(2)
differential privacy
(2)
channel pruning
(2)
random feature
(2)
model compression
(2)
generative model
(2)
feature correspondence
(1)
posterior distribution
(1)
discrete optimization
(1)
random search
(1)
posterior approximation
(1)
bayesian neural network
(1)
model acceleration
(1)
structured pruning
(1)
model efficiency
(1)
subgraph matching
(1)
shapley value
(1)
weight uncertainty
(1)
marginal contribution
(1)
Papers
How to Train Your Multi-Exit Model? Analyzing the Impact of Training Strategies
ICML 2025
Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient
ICML 2025
AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale
ECCV 2024
Scaling Laws for Fine-Grained Mixture of Experts
ICML 2024
Hermite Polynomial Features for Private Data Generation
ICML 2022
Revisiting Random Channel Pruning for Neural Network Compression
CVPR 2022
Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion
CORL 2022
Dirichlet Pruning for Convolutional Neural Networks
AISTATS 2021
DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation
AISTATS 2021
Radial and Directional Posteriors for Bayesian Deep Learning
AAAI 2020
Subgraph Matching Using Compactness Prior for Robust Feature Correspondence
CVPR 2015
Discrete Tabu Search for Graph Matching
ICCV 2015