Daniel Sonntag
20 papers · 2017–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (10) π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge π Academic Marathon (8)
π
Interdisciplinary Bridge
π
Conference Polyglot
(10)
π
Academic Marathon
(8)
π
Keyword Champion
π§¬
Topic Evolution
ποΈ
Keyword Collector
(94)
π
Century Club
(19)
π₯
Unstoppable
(5)
β‘
Prolific Year
(6)
Conferences
ACL (5)
IJCAI (4)
AAAI (2)
ICML (2)
NIPS (2)
ACML (1)
CVPR (1)
EACL (1)
EMNLP (1)
NAACL (1)
Top co-authors
Keywords
transfer learning
(5)
active learning
(4)
passive acoustic monitoring
(3)
domain adaptation
(3)
self-supervised learning
(2)
medical imaging
(2)
contrastive learning
(2)
few-shot learning
(2)
language model
(2)
large language model
(2)
image segmentation
(1)
graph matching
(1)
natural language processing
(1)
zero-shot learning
(1)
image classification
(1)
prompt engineering
(1)
relation extraction
(1)
clinical named entity recognition
(1)
natural language inference
(1)
knowledge transfer
(1)
Papers
Reinforce Trustworthiness in Multimodal Emotional Support System
AAAI 2026
Human and LLM-based Assessment of Teaching Acts in Expert-led Explanatory Dialogues
EMNLP 2025
Advancing Biomedical Claim Verification by Using Large Language Models with Better Structured Prompting Strategies
ACL 2025
On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation
ICML 2025
Optimizing Relation Extraction in Medical Texts through Active Learning: A Comparative Analysis of Trade-offs
EACL 2024
Accelerating Transformers with Spectrum-Preserving Token Merging
NIPS 2024
Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model
ACML 2024
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks
ICML 2024
Demo: Enhancing Wildlife Acoustic Data Annotation Efficiency through Transfer and Active Learning
IJCAI 2024
Building A German Clinical Named Entity Recognition System without In-domain Training Data
NAACL 2024
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching
NIPS 2023
Interactive Machine Learning Solutions for Acoustic Monitoring of Animal Wildlife in Biosphere Reserves
IJCAI 2023
Towards Adaptable and Interactive Image Captioning with Data Augmentation and Episodic Memory
ACL 2023
Cross-domain German Medical Named Entity Recognition using a Pre-Trained Language Model and Unified Medical Semantic Types
ACL 2023
A Human-in-the-Loop Tool for Annotating Passive Acoustic Monitoring Datasets
IJCAI 2023
Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering
AAAI 2023
A survey on improving NLP models with human explanations
ACL 2022
LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking
CVPR 2022
Incremental Domain Adaptation for Neural Machine Translation in Low-Resource Settings
ACL 2019
Speech-based Medical Decision Support in VR using a Deep Neural Network (Demonstration)
IJCAI 2017