Kamil Adamczewski
12 papers · 2015–2025 · 7 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 ↓+3 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (23)
💎
Century Club · Bronze
❓
The Questioner
🗃️
Keyword Collector
(56)
Top co-authors
Research topics
Machine Learning
(9)
Application Areas
(8)
Artificial Intelligence
(6)
Deep Learning
(5)
Core AI
(5)
Models
(3)
Optimization & Theory · Machine Learning
(3)
Computer Vision
(2)
Mathematics & Optimization
(2)
Optimization
(2)
Optimization & Theory · Deep Learning
(2)
Security & Privacy
(1)
Analysis
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Keywords
variational inference
(3)
random feature
(2)
mixture of expert
(2)
generative model
(2)
differential privacy
(2)
model compression
(2)
kernel mean embedding
(2)
channel pruning
(2)
scaling law
(2)
graph theory
(1)
early exit
(1)
posterior distribution
(1)
discrete optimization
(1)
random search
(1)
bayesian inference
(1)
feature correspondence
(1)
markov chain monte carlo
(1)
synthetic data generation
(1)
posterior approximation
(1)
graph matching
(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
Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion
CoRL 2022
Revisiting Random Channel Pruning for Neural Network Compression
CVPR 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
Discrete Tabu Search for Graph Matching
ICCV 2015
Subgraph Matching Using Compactness Prior for Robust Feature Correspondence
CVPR 2015