Łukasz Dudziak
12 papers · 2019–2024 · 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.
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Research topics
Deep Learning
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Machine Learning
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Artificial Intelligence
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Core AI
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Optimization & Theory · Machine Learning
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Optimization & Theory · Deep Learning
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Speech & Audio
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Learning Paradigms
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Recognition
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Reinforcement Learning
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Learning Types · Deep Learning
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Learning Types · Machine Learning
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Keywords
neural architecture search
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model compression
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automatic speech recognition
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word error rate
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zero-cost proxy
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vision transformer
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benchmark evaluation
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generative modeling
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matrix factorization
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reinforcement learning
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transfer learning
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neural network optimization
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early exit
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singular value decomposition
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bilevel optimization
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hierarchical generative model
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convolutional neural network
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benchmark dataset
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edge computing
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few-shot learning
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Papers
MobileQuant: Mobile-friendly Quantization for On-device Language Models
EMNLP 2024
Neural Fine-Tuning Search for Few-Shot Learning
ICLR 2024
Recurrent Early Exits for Federated Learning with Heterogeneous Clients
ICML 2024
Towards Neural Architecture Search through Hierarchical Generative Modeling
ICML 2024
Exploiting Network Compressibility and Topology in Zero-Cost NAS
AutoML 2023
BLOX: Macro Neural Architecture Search Benchmark and Algorithms
NeurIPS 2022
NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition
ICLR 2021
Zero-Cost Proxies for Lightweight NAS
ICLR 2021
Iterative Compression of End-to-End ASR Model Using AutoML
Interspeech 2020
Journey Towards Tiny Perceptual Super-Resolution
ECCV 2020
Dynamic Channel Pruning: Feature Boosting and Suppression
ICLR 2019
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning
Interspeech 2019