classifier training

Adversarial Latent Feature Augmentation for Fairness ICLR 2025 FairCognizer: A Model for Accurate Predictions with Inherent Fairness Evaluation (Extended Abstract) IJCAI 2025 Positive-unlabeled AUC Maximization under Covariate Shift ICML 2025 Where do LLMs Encode the Knowledge to Assess the Ambiguity? COLING 2025 Inverse Weight-Balancing for Deep Long-Tailed Learning AAAI 2024 Semi-supervised Multi-label Learning with Balanced Binary Angular Margin Loss NeurIPS 2024 Contrastive Classification and Representation Learning with Probabilistic Interpretation AAAI 2023 Perturbation Analysis of Neural Collapse ICML 2023 Adversarial Learning from Crowds AAAI 2022 A label efficient two-sample test UAI 2022 Closed-form Sample Probing for Learning Generative Models in Zero-shot Learning ICLR 2022 Data-Augmented Contact Model for Rigid Body Simulation L4DC 2022 Predicting Fine-Tuning Performance with Probing EMNLP 2022 Rethinking Image Cropping: Exploring Diverse Compositions From Global Views CVPR 2022 Adaptive Sampling for Minimax Fair Classification NeurIPS 2021 A Multi-Class Hinge Loss for Conditional GANs WACV 2021 A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention ICML 2021 GistNet: A Geometric Structure Transfer Network for Long-Tailed Recognition ICCV 2021 SuPEr-SAM: Using the Supervision Signal From a Pose Estimator to Train a Spatial Attention Module for Personal Protective Equipment Recognition WACV 2021 Federated Learning with Only Positive Labels ICML 2020 Learning Labeled Robot Affordance Models Using Simulations and Crowdsourcing RSS 2020 Adversarial Label Learning AAAI 2019 Sublinear quantum algorithms for training linear and kernel-based classifiers ICML 2019 Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference NeurIPS 2017 The Label Complexity of Mixed-Initiative Classifier Training ICML 2016