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Markus Schedl

Identifiers

  • name variant Markus Schedl 0.60 · backfill

Papers (47)

  1. A Comparative Study on Affective Cues in Text Embeddings Across Psychological Emotion Theories cs.CL · 2026 · author #4
  2. SB-BEVFusion: Enhancing the Robustness against Sensor Malfunction and Corruptions cs.CV · 2026 · author #7
  3. H-RAG at SemEval-2026 Task 8: Hierarchical Parent-Child Retrieval for Multi-Turn RAG Conversations cs.CL · 2026 · author #5
  4. Meta-Learning and Targeted Differential Privacy to Improve the Accuracy-Privacy Trade-off in Recommendations cs.IR · 2026 · author #3
  5. Facet-Level Tracing of Evidence Uncertainty and Hallucination in RAG cs.CL · 2026 · author #4
  6. Adaptive Autoguidance for Item-Side Fairness in Diffusion Recommender Systems cs.IR · 2026 · author #5
  7. Simultaneous Unlearning of Multiple Protected User Attributes From Variational Autoencoder Recommenders Using Adversarial Training cs.LG · 2024 · author #5
  8. Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization cs.CL · 2024 · author #4
  9. A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios cs.IR · 2024 · author #5
  10. The Importance of Cognitive Biases in the Recommendation Ecosystem cs.IR · 2024 · author #1
  11. Oh, Behave! Country Representation Dynamics Created by Feedback Loops in Music Recommender Systems cs.IR · 2024 · author #5
  12. Modality Invariant Multimodal Learning to Handle Missing Modalities: A Single-Branch Approach cs.CV · 2024 · author #9
  13. Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation cs.CL · 2024 · author #5
  14. Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models cs.IR · 2024 · author #7
  15. Face-voice Association in Multilingual Environments (FAME) Challenge 2024 Evaluation Plan cs.CV · 2024 · author #7
  16. Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters cs.LG · 2024 · author #3
  17. The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias cs.IR · 2024 · author #3
  18. Domain Information Control at Inference Time for Acoustic Scene Classification cs.SD · 2023 · author #3
  19. A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations cs.IR · 2023 · author #3
  20. Parameter-efficient Modularised Bias Mitigation via AdapterFusion cs.CL · 2023 · author #6
  21. ReuseKNN: Neighborhood Reuse for Differentially-Private KNN-Based Recommendations cs.IR · 2022 · author #3
  22. Unlearning Protected User Attributes in Recommendations with Adversarial Training cs.IR · 2022 · author #5
  23. Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks cs.LG · 2022 · author #4
  24. Do Perceived Gender Biases in Retrieval Results Affect Relevance Judgements? cs.IR · 2022 · author #3
  25. Explainability in Music Recommender Systems cs.LG · 2022 · author #3
  26. Grep-BiasIR: A Dataset for Investigating Gender Representation-Bias in Information Retrieval Results cs.IR · 2022 · author #5
  27. My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music cs.SI · 2021 · author #3
  28. Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected? cs.IR · 2021 · author #7
  29. Predicting Music Relistening Behavior Using the ACT-R Framework cs.IR · 2021 · author #3
  30. Content-driven Music Recommendation: Evolution, State of the Art, and Challenges cs.IR · 2021 · author #2
  31. A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models cs.IR · 2021 · author #6
  32. Current Challenges and Future Directions in Podcast Information Access cs.IR · 2021 · author #3
  33. Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers cs.IR · 2021 · author #3
  34. TripClick: The Log Files of a Large Health Web Search Engine cs.IR · 2021 · author #3
  35. Listener Modeling and Context-aware Music Recommendation Based on Country Archetypes cs.IR · 2020 · author #1
  36. Do Neural Ranking Models Intensify Gender Bias? cs.IR · 2020 · author #2
  37. Utilizing Human Memory Processes to Model Genre Preferences for Personalized Music Recommendations cs.IR · 2020 · author #3
  38. Online Music Listening Culture of Kids and Adolescents: Listening Analysis and Music Recommendation Tailored to the Young cs.IR · 2019 · author #1
  39. Global and country-specific mainstreaminess measures: Definitions, analysis, and usage for improving personalized music recommendation systems cs.IR · 2019 · author #2
  40. The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study cs.IR · 2019 · author #2
  41. Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features cs.IR · 2019 · author #4
  42. Modeling Artist Preferences of Users with Different Music Consumption Patterns for Fair Music Recommendations cs.IR · 2019 · author #3
  43. An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation cs.IR · 2018 · author #2
  44. The Importance of Song Context and Song Order in Automated Music Playlist Generation cs.IR · 2018 · author #3
  45. A Hybrid Approach to Music Playlist Continuation Based on Playlist-Song Membership cs.IR · 2018 · author #3
  46. Current Challenges and Visions in Music Recommender Systems Research cs.IR · 2017 · author #1
  47. Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features: Alleviating the Cold-Start Problem for Rare and Out-of-Set Songs cs.IR · 2017 · author #4

Mentions

  • 2410.20965 #5 · arxiv_oai · confidence 0.70 Markus Schedl
  • 2406.11505 #7 · arxiv_oai · confidence 0.70 Markus Schedl
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Frequent Coauthors