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Details
Table of Contents
Intro
Preface
Organization
Awards
Contents
Characterizing the Role of a Single Coupling Layer in Affine Normalizing Flows
1 Introduction
2 Related Work
3 Single Affine Coupling Layer
3.1 Architecture
3.2 KL Divergence Minimizer
3.3 Tight Bound on Loss
3.4 Determining the Optimal Rotation
3.5 Independent Outputs
4 Layer-Wise Learning
5 Conclusion
References
Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations
1 Introduction
2 Related Work
3 Semantic Bottlenecks
3.1 Supervised Semantic Bottlenecks (SSBs)
3.2 Unsupervised Semantic Bottlenecks (USBs)
4 Quantification of Layer Output Inspectability
4.1 AUiC Metric
4.2 Discussion
5 Results
5.1 Setup
5.2 Quantitative Improvements with SBs
5.3 Qualitative Improvements with SBs
6 Conclusion
References
Bias Detection and Prediction of Mapping Errors in Camera Calibration
1 Introduction
2 Fundamentals
3 Related Work
4 Detecting Systematic Errors
5 The Expected Mapping Error (EME)
6 Experimental Evaluation
7 Results
8 Application in Calibration Guidance
9 Conclusion and Future Research
References
Learning to Identify Physical Parameters from Video Using Differentiable Physics
1 Introduction
1.1 Related Work
2 Background
2.1 Unconstrained and Constrained Dynamics
3 Method
3.1 Network Architecture
3.2 Training Losses
4 Experiments
4.1 Simulated Scenarios and Observability Analysis
4.2 Results
4.3 Qualitative Video Prediction Results
4.4 Discussion and Limitations
5 Conclusion
References
Assignment Flow for Order-Constrained OCT Segmentation
1 Introduction
2 Assignment Flow
3 OCT Data Representation by Covariance Descriptors
4 Ordered Layer Segmentation
4.1 Ordering Constraint
4.2 Ordered Assignment Flow
5 Experimental Results and Discussion
6 Conclusion
References
Boosting Generalization in Bio-signal Classification by Learning the Phase-Amplitude Coupling
1 Introduction
2 Related Work
3 Learning to Detect the Phase-Amplitude Coupling
4 Experiments
4.1 Data Sets
4.2 Training Procedures and Models
4.3 Evaluation Procedures
4.4 Generalization on the Sleep Cassette Data Set
4.5 Generalization on the ISRUC-Sleep Data Set
4.6 Comparison to the Relative Positioning Task
4.7 Results on the Sleep Telemetry and CHB-MIT Data Sets
4.8 Impact of the Window Size
4.9 Frozen vs Fine-Tuned Encoder
4.10 Architecture
5 Conclusions
References
Long-Tailed Recognition Using Class-Balanced Experts
1 Introduction
2 Related Work
3 Method
3.1 Long-Tailed Recognition Using Class-Balanced Experts
3.2 Out-of-Distribution Detection for Experts
3.3 Fusing Expert Posteriors
4 Experiments
4.1 Oracle Performance
4.2 Effect of Joint Calibration Module
4.3 Diverse Ensembles with Experts
Preface
Organization
Awards
Contents
Characterizing the Role of a Single Coupling Layer in Affine Normalizing Flows
1 Introduction
2 Related Work
3 Single Affine Coupling Layer
3.1 Architecture
3.2 KL Divergence Minimizer
3.3 Tight Bound on Loss
3.4 Determining the Optimal Rotation
3.5 Independent Outputs
4 Layer-Wise Learning
5 Conclusion
References
Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations
1 Introduction
2 Related Work
3 Semantic Bottlenecks
3.1 Supervised Semantic Bottlenecks (SSBs)
3.2 Unsupervised Semantic Bottlenecks (USBs)
4 Quantification of Layer Output Inspectability
4.1 AUiC Metric
4.2 Discussion
5 Results
5.1 Setup
5.2 Quantitative Improvements with SBs
5.3 Qualitative Improvements with SBs
6 Conclusion
References
Bias Detection and Prediction of Mapping Errors in Camera Calibration
1 Introduction
2 Fundamentals
3 Related Work
4 Detecting Systematic Errors
5 The Expected Mapping Error (EME)
6 Experimental Evaluation
7 Results
8 Application in Calibration Guidance
9 Conclusion and Future Research
References
Learning to Identify Physical Parameters from Video Using Differentiable Physics
1 Introduction
1.1 Related Work
2 Background
2.1 Unconstrained and Constrained Dynamics
3 Method
3.1 Network Architecture
3.2 Training Losses
4 Experiments
4.1 Simulated Scenarios and Observability Analysis
4.2 Results
4.3 Qualitative Video Prediction Results
4.4 Discussion and Limitations
5 Conclusion
References
Assignment Flow for Order-Constrained OCT Segmentation
1 Introduction
2 Assignment Flow
3 OCT Data Representation by Covariance Descriptors
4 Ordered Layer Segmentation
4.1 Ordering Constraint
4.2 Ordered Assignment Flow
5 Experimental Results and Discussion
6 Conclusion
References
Boosting Generalization in Bio-signal Classification by Learning the Phase-Amplitude Coupling
1 Introduction
2 Related Work
3 Learning to Detect the Phase-Amplitude Coupling
4 Experiments
4.1 Data Sets
4.2 Training Procedures and Models
4.3 Evaluation Procedures
4.4 Generalization on the Sleep Cassette Data Set
4.5 Generalization on the ISRUC-Sleep Data Set
4.6 Comparison to the Relative Positioning Task
4.7 Results on the Sleep Telemetry and CHB-MIT Data Sets
4.8 Impact of the Window Size
4.9 Frozen vs Fine-Tuned Encoder
4.10 Architecture
5 Conclusions
References
Long-Tailed Recognition Using Class-Balanced Experts
1 Introduction
2 Related Work
3 Method
3.1 Long-Tailed Recognition Using Class-Balanced Experts
3.2 Out-of-Distribution Detection for Experts
3.3 Fusing Expert Posteriors
4 Experiments
4.1 Oracle Performance
4.2 Effect of Joint Calibration Module
4.3 Diverse Ensembles with Experts