classification performance

Predicting Fine-tuned Performance on Larger Datasets Before Creating Them COLING 2025 SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds ICML 2025 Does Label Smoothing Help Deep Partial Label Learning? ICML 2024 Leverage Class-Specific Accuracy to Guide Data Generation for Improving Image Classification ICML 2024 ATCON: Attention Consistency for Vision Models WACV 2023 FLamE: Few-shot Learning from Natural Language Explanations ACL 2023 Native Language Prediction from Gaze: a Reproducibility Study ACL 2023 Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark NeurIPS 2023 Truly Scale-Equivariant Deep Nets with Fourier Layers NeurIPS 2023 Why Don’t You Do It Right? Analysing Annotators’ Disagreement in Subjective Tasks EACL 2023 A Dataset for Efforts Towards Achieving the Sustainable Development Goal of Safe Working Environments NeurIPS 2022 HARALD: Augmenting Hate Speech Data Sets with Real Data EMNLP 2022 Inter-annotator agreement is not the ceiling of machine learning performance: Evidence from a comprehensive set of simulations ACL 2022 Quadratic metric elicitation for fairness and beyond UAI 2022 Label Distribution Learning Machine ICML 2021 Learn the Highest Label and Rest Label Description Degrees IJCAI 2021 ToAlign: Task-Oriented Alignment for Unsupervised Domain Adaptation NeurIPS 2021 Meta Variance Transfer: Learning to Augment from the Others ICML 2020 The HSIC Bottleneck: Deep Learning without Back-Propagation AAAI 2020 Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction AAAI 2019 Riemannian batch normalization for SPD neural networks NeurIPS 2019 Good Semi-supervised Learning That Requires a Bad GAN NeurIPS 2017 Patient Risk Stratification with Time-Varying Parameters: A Multitask Learning Approach JMLR 2016 A Fast Approximate AIB Algorithm for Distributional Word Clustering CVPR 2013 Recovering the Optimal Solution by Dual Random Projection COLT 2013