Damian Borth
10 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🐣 Hot Topic Early Bird
🏃
Academic Marathon
(7)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🔥
Unstoppable
(5)
💎
Century Club
(10)
❓
The Questioner
📈
Trend Setter
Conferences
NIPS (3)
CVPR (2)
INTERSPEECH (2)
ICCV (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
self-supervised learning
(2)
representation learning
(2)
data augmentation
(2)
model zoo
(2)
class imbalance
(2)
convolutional neural network
(2)
speech emotion recognition
(2)
neural network weight
(2)
feature extraction
(1)
image reconstruction
(1)
domain adaptation
(1)
remote sensing
(1)
vision transformer
(1)
mutual information
(1)
cross-lingual transfer
(1)
parameter efficient fine-tuning
(1)
transfer learning
(1)
foundation model
(1)
generative model
(1)
visual concept
(1)
Papers
Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation
ICCV 2025
Parameter Efficient Self-Supervised Geospatial Domain Adaptation
CVPR 2024
Towards Scalable and Versatile Weight Space Learning
ICML 2024
Learning Emotional Representations from Imbalanced Speech Data for Speech Emotion Recognition and Emotional Text-to-Speech
INTERSPEECH 2023
Model Zoos: A Dataset of Diverse Populations of Neural Network Models
NIPS 2022
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights
NIPS 2022
Generative Data Augmentation Guided by Triplet Loss for Speech Emotion Recognition
INTERSPEECH 2022
Learning Interpretable Concept Groups in CNNs
IJCAI 2021
Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction
NIPS 2021
What Do Deep Networks Like to See?
CVPR 2018