Nils Reimers
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Bone health and osteoporosis research
Most-Cited Works
- → Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks(2019)10,153 cited
- → MTEB: Massive Text Embedding Benchmark(2023)335 cited
- → Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks(2017)264 cited
- → TSDAE: Using Transformer-based Sequential Denoising Auto-Encoderfor Unsupervised Sentence Embedding Learning(2021)111 cited
- → Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution(2019)106 cited
- → BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information\n Retrieval Models(2021)100 cited
- → Efficient Few-Shot Learning Without Prompts(2022)98 cited
- → Optimisation of orthopaedic implant design using statistical shape space analysis based on level sets(2010)86 cited
- → Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging(2017)75 cited