293 results on '"Birke A"'
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2. CLUES: Collusive Theft of Conditional Generative Adversarial Networks.
3. Assessing Large Language Models Inference Performance on a 64-core RISC-V CPU with Silicon-Enabled Vectors.
4. DALLMi: Domain Adaption for LLM-Based Multi-label Classifier.
5. On Dark Knowledge for Distilling Generators.
6. A Performance Analysis for Confidential Federated Learning.
7. XSearchKG: A Platform for Explainable Keyword Search over Knowledge Graphs.
8. RISC-V-Based Platforms for HPC: Analyzing Non-functional Properties for Future HPC and Big-Data Clusters.
9. Efficiently Distributed Federated Learning.
10. Model-Agnostic Federated Learning.
11. The in-Plane Thermal Conductivity of Lithium-Ion Cells: Parametric Influences and Simulative Prediction.
12. Three-Dimensional Model of a cylindrical Lithium-Ion Cell - Influence of Cell Design on State Imbalances and Fast-Charging Capability.
13. A Proposal for a Continuum-aware Programming Model: From Workflows to Services Autonomously Interacting in the Compute Continuum.
14. FCT-GAN: Enhancing Global Correlation of Table Synthesis via Fourier Transform.
15. GDTS: GAN-Based Distributed Tabular Synthesizer.
16. Exploring and Exploiting Data-Free Model Stealing.
17. The Tribrid-Meeting-Setup - Improving Hybrid Meetings Using a Telepresence Robot.
18. Robust Learning via Golden Symmetric Loss of (un)Trusted Labels.
19. Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning.
20. Design and Exploration of an ARC-Coprocessor for LSTM Based Audio Applications.
21. Performance Modeling for Short-Term Cache Allocation.
22. Permutation-Invariant Tabular Data Synthesis.
23. Multi Label Loss Correction against Missing and Corrupted Labels.
24. Trusted Loss Correction for Noisy Multi-Label Learning.
25. LABNET: A Collaborative Method for DNN Training and Label Aggregation.
26. Evaluation of Networking Options for Containerized Deployment of Real-Time Applications.
27. Online Label Aggregation: A Variational Bayesian Approach.
28. Influences of Cell to Cell Variances and the Battery Design on thermal and electrical imbalances among parallel Lithium-Ion Cells.
29. CTAB-GAN: Effective Table Data Synthesizing.
30. QActor: Active Learning on Noisy Labels.
31. Masa: Responsive Multi-DNN Inference on the Edge.
32. MemA: Fast Inference of Multiple Deep Models.
33. LABELNET: Recovering Noisy Labels.
34. TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise.
35. Distributed Edge Inference: an Experimental Study on Multiview Detection.
36. Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model.
37. PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for Deep Learning Clusters.
38. End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models.
39. Robust Anomaly Detection on Unreliable Data.
40. Learning Semantically Meaningful Embeddings Using Linear Constraints.
41. Robust (Deep) Learning Framework Against Dirty Labels and Beyond.
42. Exploring Deep Reinforcement Learning for Autonomous Powerline Tracking.
43. Differential Approximation and Sprinting for Multi-Priority Big Data Engines.
44. Chisel: Reshaping Queries to Trim Latency in Key-Value Stores.
45. VLSI Architectures for ORVD Trellis based MIMO Detection.
46. VLSI implementation of channel estimation for millimeter wave beamforming training.
47. Model-driven computational sprinting.
48. SmallTail: Scaling Cores and Probabilistic Cloning Requests for Web Systems.
49. Reducing the Computational Complexity of ORVD-Trellis Search Based MIMO Detection.
50. Artifact: Masa: Responsive Multi-DNN Inference on the Edge.
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