Abstract i List of contents ii I. INTRODUCTION 1.1 Machine Learning Model Interpretability 1 1.2 Curriculum Learning 2 1.3 Contributions and Overview of Thesis 2 II. BATCH-WISE POST-HOC ANALYSIS FOR IMAGE CLASSIFICATION 2.1 Dataset 3 2.2 Neural Network Model and Experiment Environment 3 2.3 Experiment Design 4 2.4 Result Analysis 4 III. CONCLUSION AND FUTURE WORK 3.1 Concluding remarks 9 3.2 Future work 9 IV. Appendix 4.1 Python code 10 References 13 요약문 14