Classification

On Bias-Variance Alignment in Deep Models ICLR 2024 On Comparing Time- and Frequency-Domain Rhythm Measures in Classifying Assamese Dialects Interspeech 2024 On Computationally Efficient Multi-Class Calibration COLT 2024 On-Demand Federated Learning for Arbitrary Target Class Distributions AISTATS 2024 One2Set + Large Language Model: Best Partners for Keyphrase Generation EMNLP 2024 One-Class Face Anti-spoofing via Spoof Cue Map-Guided Feature Learning CVPR 2024 One-Layer Transformer Provably Learns One-Nearest Neighbor In Context NeurIPS 2024 One-Shot Strategic Classification Under Unknown Costs ICML 2024 One-Vs-Rest Neural Network English Grapheme Segmentation: A Linguistic Perspective CoNLL 2024 On Harmonizing Implicit Subpopulations ICLR 2024 Online Boosting Adaptive Learning under Concept Drift for Multistream Classification AAAI 2024 Online Classification with Predictions NeurIPS 2024 Online Consistency of the Nearest Neighbor Rule NeurIPS 2024 Online Learning of Decision Trees with Thompson Sampling AISTATS 2024 Online Learning of Delayed Choices NeurIPS 2024 Online Learning with Set-valued Feedback COLT 2024 Online Structured Prediction with Fenchel–Young Losses and Improved Surrogate Regret for Online Multiclass Classification with Logistic Loss COLT 2024 On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint) IJCAI 2024 On Softmax Direct Preference Optimization for Recommendation NeurIPS 2024 On the Adversarial Robustness of Benjamini Hochberg NeurIPS 2024 On the calibration of powerset speaker diarization models Interspeech 2024 On the Generalization of Training-based ChatGPT Detection Methods EMNLP 2024 On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks NeurIPS 2024 On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training JMLR 2024 On the Learnability of Out-of-distribution Detection JMLR 2024