{"total":22,"rows":[{"id":"2106.05470","title":"Automated Self-Supervised Learning for Graphs","created":"2021-06-10","cited_by_count":50,"area":null},{"id":"2106.06713","title":"AutoLoss: Automated Loss Function Search in Recommendations","created":"2021-06-12","cited_by_count":31,"area":null},{"id":"2109.05565","title":"SphereFace Revived: Unifying Hyperspherical Face Recognition","created":"2021-09-12","cited_by_count":23,"area":null},{"id":"2102.04700","title":"Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search","created":"2021-02-09","cited_by_count":20,"area":null},{"id":"2103.14026","title":"AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks","created":"2021-03-25","cited_by_count":19,"area":null},{"id":"2210.06041","title":"Reinforcement Learning with Automated Auxiliary Loss Search","created":"2022-10-12","cited_by_count":13,"area":null},{"id":"2105.10375","title":"An Efficient Training Approach for Very Large Scale Face Recognition","created":"2021-05-21","cited_by_count":12,"area":null},{"id":"2204.13160","title":"AutoLossGen: Automatic Loss Function Generation for Recommender Systems","created":"2022-04-27","cited_by_count":10,"area":null},{"id":"2309.01113","title":"Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-free Multi-Exposure Image Fusion","created":"2023-09-03","cited_by_count":9,"area":null},{"id":"2308.06091","title":"Toward a Better Understanding of Loss Functions for Collaborative Filtering","created":"2023-08-11","cited_by_count":8,"area":null},{"id":"2111.07224","title":"Local Multi-Head Channel Self-Attention for Facial Expression Recognition","created":"2021-11-14","cited_by_count":7,"area":null},{"id":"2201.11182","title":"Hyperparameter Tuning for Deep Reinforcement Learning Applications","created":"2022-01-26","cited_by_count":7,"area":null},{"id":"2301.13247","title":"Meta-Learning Adaptive Loss Functions","created":"2023-01-30","cited_by_count":4,"area":null},{"id":"2304.12161","title":"Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection","created":"2023-04-24","cited_by_count":4,"area":null},{"id":"2305.07892","title":"DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning","created":"2023-05-13","cited_by_count":4,"area":null},{"id":"2105.02103","title":"Prototype Memory for Large-scale Face Representation Learning","created":"2021-05-05","cited_by_count":3,"area":null},{"id":"2111.05063","title":"Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search","created":"2021-11-09","cited_by_count":3,"area":null},{"id":"2208.13600","title":"Towards Robust Face Recognition with Comprehensive Search","created":"2022-08-29","cited_by_count":3,"area":null},{"id":"2109.14863","title":"HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning","created":"2021-09-30","cited_by_count":2,"area":null},{"id":"2404.12948","title":"Next Generation Loss Function for Image Classification","created":"2024-04-19","cited_by_count":2,"area":null},{"id":"2304.04060","title":"Application of Self-Supervised Learning to MICA Model for Reconstructing Imperfect 3D Facial Structures","created":"2023-04-08","cited_by_count":1,"area":null},{"id":"2405.14133","title":"Automated Loss function Search for Class-imbalanced Node Classification","created":"2024-05-23","cited_by_count":1,"area":null}],"next_cursor":null}