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F. K. Ewald, L. Bothmann, M. N. Wright, B. Bischl, G. Casalicchio and G. König.
A Guide to Feature Importance Methods for Scientific Inference.
2nd World Conference on Explainable Artificial Intelligence (xAI 2024). Valletta, Malta, Jul. 17-19, 2024. To be published.
[867]
S. Fischer and M. Binder.
mlr3torch - Deep Learning in R.
International R User Conference (useR! 2024). Salzburg, Austria, Jul. 08-22, 2024.
GitHub.
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H. Li, C. Shen, P. Torr, V. Tresp and J. Gu.
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Seattle, WA, USA, Jun. 17-21, 2024. Preprint at arXiv.
arXiv.
GitHub.
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Z. Ding, H. Cai, J. Wu, Y. Ma, R. Liao, B. Xiong and V. Tresp.
zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models.
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024). Mexico City, Mexico, Jun. 16-21, 2024. Preprint at arXiv.
arXiv.
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R. Liao, X. Jia, Y. Ma and V. Tresp.
GenTKG: Generative Forecasting on Temporal Knowledge Graph.
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024). Mexico City, Mexico, Jun. 16-21, 2024. Preprint at arXiv.
arXiv.
GitHub.
[863]
Y. Liu, P. Lin, M. Wang and H. Schütze.
OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued Pretraining.
Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024). Mexico City, Mexico, Jun. 16-21, 2024. Preprint at arXiv.
arXiv.
[862]
J. W. Grootjen, H. Weingärtner and S. Mayer.
Investigating the Effects of Eye-Tracking Interpolation Methods on Model Performance of LSTM.
9th International Workshop on Pervasive Eye Tracking and Mobile Eye-Based Interaction (PETMEI 2024) at the ACM Symposium on Eye Tracking Research and Applications (ETRA 2024). Glasgow, Scotland, Jun. 04-07, 2024. To be published.
[861]
J. Simson, A. Fabris and C. Kern.
Lazy Data Practices Harm Fairness Research.
7th ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT 2024). Rio de Janeiro, Brazil, Jun. 03-06, 2024. To be published.
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J. Simson, F. Pfisterer and C. Kern.
One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions.
7th ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT 2024). Rio de Janeiro, Brazil, Jun. 03-06, 2024. To be published.
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V. Blaschke, B. Kovačić, S. Peng, H. Schütze and B. Plank.
MaiBaam: A Multi-Dialectal Bavarian Universal Dependency Treebank.
Joint International Conference on Computational Linguistics, Language Resources and Evalutaion (LREC-COLING 2024). Torino, Italy, May. 20-25, 2024. Preprint at arXiv.
arXiv.
[858]
A. Köksal, S. Severini and H. Schütze.
SilverAlign: MT-Based Silver Data Algorithm for Evaluating Word Alignment.
Joint International Conference on Computational Linguistics, Language Resources and Evalutaion (LREC-COLING 2024). Torino, Italy, May. 20-25, 2024. Preprint at arXiv.
arXiv.
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L. Weissweiler, N. Böbel, K. Guiller, S. Herrera, W. Scivetti, A. Lorenzi, N. Melnik, A. Bhatia, H. Schütze, L. Levin, A. Zeldes, J. Nivre, W. Croft and N. Schneider.
UCxn: Typologically Informed Annotation of Constructions Atop Universal Dependencies.
Joint International Conference on Computational Linguistics, Language Resources and Evalutaion (LREC-COLING 2024). Torino, Italy, May. 20-25, 2024. Preprint at arXiv.
arXiv.
[856]
S. Zhou, L. Weissweiler, T. He, H. Schütze, D. R. Mortensen and L. Levin.
Constructions Are So Difficult That Even Large Language Models Get Them Right for the Wrong Reasons.
Joint International Conference on Computational Linguistics, Language Resources and Evalutaion (LREC-COLING 2024). Torino, Italy, May. 20-25, 2024. Preprint at arXiv.
arXiv.
[855]
A. Beer, O. Palotás, A. Maldonado, A. Draganov and I. Assent.
DROPP: Structure-aware PCA for Ordered Data.
40th IEEE International Conference on Data Engineering (ICDE 2024). Utrecht, Netherlands, May. 13-17, 2024. To be published.
[854]
J. W. Grootjen, H. Weingärtner and S. Mayer.
Uncovering and Addressing Blink-Related Challenges in Using Eye Tracking for Interactive Systems.
Conference on Human Factors in Computing Systems (CHI 2024). Honolulu, Hawaii, May. 11-16, 2024. To be published.
[853]
L. Haliburton, I. Damen, C. Lallemand, J. Niess, A. Ahtinen and P. W. Woźniak.
Office Wellbeing by Design: Don’t Stand for Anything Less.
Conference on Human Factors in Computing Systems (CHI 2024). Honolulu, Hawaii, May. 11-16, 2024. To be published.
[852]
L. Haliburton, D. J. Grüning, F. Riedel, A. Schmidt and N. Terzimehić.
A Longitudinal In-the-Wild Investigation of Design Frictions to Prevent Smartphone Overuse.
Conference on Human Factors in Computing Systems (CHI 2024). Honolulu, Hawaii, May. 11-16, 2024. To be published.
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S. Sakel, T. Blenk, A. Schmidt and L. Haliburton.
The Social Journal: Investigating Technology to Support and Reflect on Meaningful Social Interactions.
Conference on Human Factors in Computing Systems (CHI 2024). Honolulu, Hawaii, May. 11-16, 2024. To be published.
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S. Chen, Z. Han, B. He, M. Buckley, P. Torr, V. Tresp and J. Gu.
Understanding and Improving In-Context Learning on Vision-language Models.
Workshop on Mathematical and Empirical Understanding of Foundation Models (ME-FoMo 2024) at the 12th International Conference on Learning Representations (ICLR 2024). Kigali, Rwanda, May. 07-11, 2024. Preprint at arXiv.
arXiv.
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S. Chen, Z. Han, B. He, Z. Ding, W. Yu, P. Torr, V. Tresp and J. Gu.
Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?.
Workshop on Secure and Trustworthy Large Language Models (SeT LLM 2024) at the 12th International Conference on Learning Representations (ICLR 2024). Kigali, Rwanda, May. 07-11, 2024. Preprint at arXiv.
arXiv.
GitHub.
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D. Frauen, F. Imrie, A. Curth, V. Melnychuk, S. Feuerriegel and M. van der Schaar.
A Neural Framework for Generalized Causal Sensitivity Analysis.
12th International Conference on Learning Representations (ICLR 2024). Kigali, Rwanda, May. 07-11, 2024. To be published.
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K. Hess, V. Melnychuk, D. Frauen and S. Feuerriegel.
Bayesian neural controlled differential equations for treatment effect estimation.
12th International Conference on Learning Representations (ICLR 2024). Kigali, Rwanda, May. 07-11, 2024. To be published.
arXiv.
[846]
R. Kohli, M. Feurer, B. Bischl, K. Eggensperger and F. Hutter.
Towards Quantifying the Effect of Datasets for Benchmarking: A Look at Tabular Machine Learning.
Data-centric Machine Learning Research Workshop (DMLR 2024) at the 12th International Conference on Learning Representations (ICLR 2024). Kigali, Rwanda, May. 07-11, 2024. To be published.
[845]
V. Melnychuk, D. Frauen and S. Feuerriegel.
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation.
12th International Conference on Learning Representations (ICLR 2024). Kigali, Rwanda, May. 07-11, 2024. To be published.
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M. Schröder, D. Frauen and S. Feuerriegel.
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework.
12th International Conference on Learning Representations (ICLR 2024). Kigali, Rwanda, May. 07-11, 2024. To be published.
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V. Bengs, B. Haddenhorst and E. Hüllermeier.
Identifying Copeland Winners in Dueling Bandits with Indifferences.
27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024). Valencia, Spain, May. 02-04, 2024. Accepted.
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D. Dold, D. Rügamer, B. Sick and O. Dürr.
Semi-Structured Subspace Inference.
27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024). Valencia, Spain, May. 02-04, 2024. Accepted.
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N. Palm and T. Nagler.
An Online Bootstrap for Time Series.
27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024). Valencia, Spain, May. 02-04, 2024. Preprint at arXiv.
arXiv.
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D. Rügamer.
Scalable Higher-Order Tensor Product Spline Models.
27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024). Valencia, Spain, May. 02-04, 2024. Accepted.
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N. Strauß and M. Schubert.
Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem.
SIAM International Conference on Data Mining (SDM 2024). Houston, TX, USA, Apr. 18-20, 2024. To be published. Preprint at arXiv.
arXiv.
[838]
L. Bothmann, S. Dandl and M. Schomaker.
Causal Fair Machine Learning via Rank-Preserving Interventional Distributions.
European Causal Inference Meeting (EUROCIM 2024). Copenhagen, Denmark, Apr. 17-19, 2024. Preprint at arXiv.
arXiv.
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E. Artemova, V. Blaschke and B. Plank.
Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties.
18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024). St. Julians, Malta, Mar. 17-22, 2024.
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J. Beck, S. Eckman, B. Ma, R. Chew and F. Kreuter.
Order Effects in Annotation Tasks: Further Evidence of Annotation Sensitivity.
18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024). St. Julians, Malta, Mar. 17-22, 2024.
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V. T. Hu, D. Wu, Y. M. Asano, P. Mettes, B. Fernando, B. Ommer and C. G. M. Snoek.
Flow Matching for Conditional Text Generation in a Few Sampling Steps.
18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024). St. Julians, Malta, Mar. 17-22, 2024.
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P. Lin, C. Hu, Z. Zhang, A. F. T. Martins and H. Schütze.
mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models.
18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024). St. Julians, Malta, Mar. 17-22, 2024.
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B. Ma, E. Nie, S. Yuan, H. Schmid, M. Färber, F. Kreuter and H. Schütze.
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks.
18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024). St. Julians, Malta, Mar. 17-22, 2024.
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L. K. Şenel, B. Ebing, K. Baghirova, H. Schütze and G. Glavaš.
Kardeş-NLU: Transfer to Low-Resource Languages with Big Brother’s Help – A Benchmark and Evaluation for Turkic Languages.
18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024). St. Julians, Malta, Mar. 17-22, 2024.
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M. Zhang, R. van der Goot, M.-Y. Kan and B. Plank.
NNOSE: Nearest Neighbor Occupational Skill Extraction.
18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024). St. Julians, Malta, Mar. 17-22, 2024.
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M. Zhang, R. van der Goot and B. Plank.
Entity Linking in the Job Market Domain.
18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024). St. Julians, Malta, Mar. 17-22, 2024.
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FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning.
38th Conference on Artificial Intelligence (AAAI 2024). Vancouver, Canada, Feb. 20-27, 2024.
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Approximating the Shapley Value without Marginal Contributions.
38th Conference on Artificial Intelligence (AAAI 2024). Vancouver, Canada, Feb. 20-27, 2024.
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T. Ladner and M. Althoff.
Exponent Relaxation of Polynomial Zonotopes and Its Applications in Formal Neural Network Verification.
38th Conference on Artificial Intelligence (AAAI 2024). Vancouver, Canada, Feb. 20-27, 2024.
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38th Conference on Artificial Intelligence (AAAI 2024). Vancouver, Canada, Feb. 20-27, 2024.
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M. Muschalik, F. Fumagalli, B. Hammer and E. Hüllermeier.
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles.
38th Conference on Artificial Intelligence (AAAI 2024). Vancouver, Canada, Feb. 20-27, 2024.
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T. N. Wolf, F. Bongratz, A.-M. Rickmann, S. Pölsterl and C. Wachinger.
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38th Conference on Artificial Intelligence (AAAI 2024). Vancouver, Canada, Feb. 20-27, 2024.
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A. Reithmeir, J. A. Schnabel and V. A. Zimmer.
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SPIE Medical Imaging: Image Processing 2024. San Diego, CA, USA, Feb. 18-22, 2024.
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H. Weerts, F. Pfisterer, M. Feurer, K. Eggensperger, E. Bergman, N. Awad, J. Vanschoren, M. Pechenizkiy, B. Bischl and F. Hutter.
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML.
Journal of Artificial Intelligence Research 79 (Feb. 17, 2024).
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R. van Koningsbruggen, L. Haliburton, B. Rossmy, C. George, E. Hornecker and B. Hengeveld.
Metaphors and `Tacit' Data: the Role of Metaphors in Data and Physical Data Representations.
18th International Conference on Tangible, Embedded, and Embodied Interaction. Cork, Ireland, Feb. 11-14, 2024.
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Communications Psychology 2.1 (Jan. 10, 2024).
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C. Geldhauser and H. Diebel-Fischer.
Is diverse and inclusive AI trapped in the gap between reality and algorithmizability?.
Northern Lights Deep Learning Conference (NLDL 2024). Tromsø, Norway, Jan. 09-11, 2024.
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M. Bernhard, R. Amoroso, Y. Kindermann, M. Schubert, L. Baraldi, R. Cucchiara and V. Tresp.
What’s Outside the Intersection? Fine-grained Error Analysis for Semantic Segmentation Beyond IoU.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024). Waikoloa, Hawaii, Jan. 04-08, 2024.
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TriPlaneNet: An Encoder for EG3D Inversion.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024). Waikoloa, Hawaii, Jan. 04-08, 2024.
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SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024). Waikoloa, Hawaii, Jan. 04-08, 2024.
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M. Z. Darestani, V. Nath, W. Li, Y. He, H. R. Roth, Z. Xu, D. Xu, R. Heckel and C. Zhao.
IR-FRestormer: Iterative Refinement With Fourier-Based Restormer for Accelerated MRI Reconstruction.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024). Waikoloa, Hawaii, Jan. 04-08, 2024.
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Masked Event Modeling: Self-Supervised Pretraining for Event Cameras.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024). Waikoloa, Hawaii, Jan. 04-08, 2024.
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Enhancing Multimodal Compositional Reasoning of Visual Language Models With Generative Negative Mining.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024). Waikoloa, Hawaii, Jan. 04-08, 2024.
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Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024). Waikoloa, Hawaii, Jan. 04-08, 2024.
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T. Yenamandra, A. Tewari, N. Yang, F. Bernard, C. Theobalt and D. Cremers.
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IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024). Waikoloa, Hawaii, Jan. 04-08, 2024.
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Can Vision-Language Models be a Good Guesser? Exploring VLMs for Times and Location Reasoning.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024). Waikoloa, Hawaii, Jan. 04-08, 2024.
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From NeurODEs to AutoencODEs: a mean-field control framework for width-varying Neural Networks.
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Categorising the world into local climate zones: towards quantifying labelling uncertainty for machine learning models.
Journal of the Royal Statistical Society. Series C (Applied Statistics) 73.1 (Jan. 2024).
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Machine Learning to Infer a Health State Using Biomedical Signals - Detection of Hypoglycemia in People with Diabetes while Driving Real Cars.
NEJM AI (Jan. 2024).
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Connecting the Dots: Is Mode Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?.
Under review (2024).
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From RNA sequencing measurements to the final results: a practical guide to navigating the choices and uncertainties of gene set analysis.
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Multimodal and Multiresolution Data Fusion for High-Resolution Cloud Removal: A Novel Baseline and Benchmark.
IEEE Transactions on Geoscience and Remote Sensing 62 (Jan. 2024).
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Plug-In Channel Estimation With Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO Systems.
IEEE Transactions on Communications 72.1 (2024).
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Few-Shot Object Detection in Remote Sensing: Lifting the Curse of Incompletely Annotated Novel Objects.
IEEE Transactions on Geoscience and Remote Sensing 62 (Jan. 2024).
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Uncertainty Quantification of Deep Learning Models for Predicting the Regulatory Activity of DNA Sequences.
22nd IEEE International Conference on Machine Learning and Applications (ICMLA 2023). Jacksonville, Florida, USA, Dec. 15-17, 2023.
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IEEE International Conference on Big Data (IEEE BigData 2023). Sorrento, Italy, Dec. 15-18, 2023.
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Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance in Earth Observation?.
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37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec. 10-16, 2023.
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37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec. 10-16, 2023.
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37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec. 10-16, 2023.
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37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec. 10-16, 2023.
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37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec. 10-16, 2023.
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37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec. 10-16, 2023.
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GenTKG: Generative Forecasting on Temporal Knowledge Graph.
Temporal Graph Learning Workshop (TGL 2023) at the 37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec. 10-16, 2023.
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37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, Dec. 10-16, 2023.
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Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model.
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Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration.
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Sumformer: Universal Approximation for Efficient Transformers.
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