Marcus Liwicki
15 papers · 2007–2025 · 9 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (9) 🏃 Academic Marathon (18) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🌍
Conference Polyglot
(9)
🏃
Academic Marathon
(18)
🐝
Cross-Pollinator
(12)
🌟
Keyword Trendsetter Combo
(3)
🧬
Topic Evolution
🏆
Keyword Champion
🌱
Topic Pioneer
🗃️
Keyword Collector
(59)
🔥
Unstoppable
(5)
⚡
Prolific Year
(5)
💎
Century Club
(15)
📈
Trend Setter
Conferences
SEMEVAL (3)
ACL (2)
ECCV (2)
NAACL (2)
NIPS (2)
CVPR (1)
ICLR (1)
INTERSPEECH (1)
WACV (1)
Top co-authors
Research topics
Keywords
transformer model
(4)
text classification
(4)
recurrent neural network
(3)
patronizing language detection
(2)
semi-supervised learning
(2)
class imbalance
(2)
soft label prediction
(2)
sexism detection
(2)
transfer learning
(2)
data augmentation
(2)
transformer-based model
(2)
activation function
(2)
neural network optimization
(1)
automatic speech recognition
(1)
handwriting recognition
(1)
language modeling
(1)
natural language processing
(1)
label prediction
(1)
self-supervised learning
(1)
sequence labeling
(1)
Papers
ASTrA: Adversarial Self-supervised Training with Adaptive-Attacks
ICLR 2025
DiffusionPen: Towards Controlling the Style of Handwritten Text Generation
ECCV 2024
Möbius Transform for Mitigating Perspective Distortions in Representation Learning
ECCV 2024
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images
WACV 2023
Lon-eå at SemEval-2023 Task 11: A Comparison of Activation Functions for Soft and Hard Label Prediction
ACL 2023
NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and Semi-Supervised Learning Techniques on Text Classification Performance on an Imbalanced Dataset
ACL 2023
Lon-eå at SemEval-2023 Task 11: A Comparison of Activation Functions for Soft and Hard Label Prediction
SEMEVAL 2023
NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and Semi-Supervised Learning Techniques on Text Classification Performance on an Imbalanced Dataset
SEMEVAL 2023
ML_LTU at SemEval-2022 Task 4: T5 Towards Identifying Patronizing and Condescending Language
SEMEVAL 2022
ML_LTU at SemEval-2022 Task 4: T5 Towards Identifying Patronizing and Condescending Language
NAACL 2022
Pedagogical Principles in the Online Teaching of Text Mining: A Retrospection
NAACL 2021
Examining the Combination of Multi-Band Processing and Channel Dropout for Robust Speech Recognition
INTERSPEECH 2019
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation
NIPS 2015
Scene Labeling With LSTM Recurrent Neural Networks
CVPR 2015
Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks
NIPS 2007