Eldar Kurtic
11 papers · 2021–2025 · 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
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) 🌍 Conference Polyglot · Silver 👑 Triple Crown 🤝 Dynamic Duo (11)
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Keyword Collector
(65)
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Unstoppable · Bronze
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The Questioner
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Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(7)
Deep Learning
(7)
Core AI · Artificial Intelligence
(7)
Optimization & Theory · Deep Learning
(7)
Optimization & Theory · Machine Learning
(6)
Application Areas
(5)
Models
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Core AI · Computer Vision
(1)
Learning Types
(1)
Optimization
(1)
Resources & Methods
(1)
Keywords
model compression
(4)
unstructured sparsity
(2)
second-order optimization
(2)
knowledge distillation
(2)
vision transformer
(1)
neural network training
(1)
neural network compression
(1)
bert compression
(1)
neural network pruning
(1)
network pruning
(1)
llm evaluation
(1)
distributed optimization
(1)
neural network optimization
(1)
model pruning
(1)
convergence guarantee
(1)
sparse model
(1)
mathematical reasoning
(1)
adaptive optimization
(1)
gradient compression
(1)
model quantization
(1)
Papers
EvoPress: Accurate Dynamic Model Compression via Evolutionary Search
ICML 2025
“Give Me BF16 or Give Me Death”? Accuracy-Performance Trade-Offs in LLM Quantization
ACL 2025
Error Feedback Can Accurately Compress Preconditioners
ICML 2024
Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on Large Language Models
EMNLP 2024
MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence
NeurIPS 2024
CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models
NeurIPS 2023
CrAM: A Compression-Aware Minimizer
ICLR 2023
SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge
ICML 2023
ZipLM: Inference-Aware Structured Pruning of Language Models
NeurIPS 2023
The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models
EMNLP 2022
M-FAC: Efficient Matrix-Free Approximations of Second-Order Information
NeurIPS 2021