linear classifier

LLMs Know More About Numbers than They Can Say EACL 2026 On Robustness of Linear Classifiers to Targeted Data Poisoning AAAI 2026 A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs AISTATS 2025 Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification ICLR 2025 Learning on Model Weights using Tree Experts CVPR 2025 Online Linear Classification with Massart Noise ICML 2025 Rethinking Few-Shot Adaptation of Vision-Language Models in Two Stages CVPR 2025 Theory of Agreement-on-the-Line in Linear Models and Gaussian Data AISTATS 2025 The role of audio-visual integration in the time course of phonetic encoding in self-supervised speech models Interspeech 2025 Understanding Fixed Predictions via Confined Regions ICML 2025 Automated Essay Scoring Using Discourse External Knowledge IJCAI 2024 Consistent Adversarially Robust Linear Classification: Non-Parametric Setting ICML 2024 Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings ICML 2024 RanDumb: Random Representations Outperform Online Continually Learned Representations NeurIPS 2024 Restoring balance: principled under/oversampling of data for optimal classification ICML 2024 Sparse Binarization for Fast Keyword Spotting Interspeech 2024 Benign Overfitting in Adversarially Robust Linear Classification UAI 2023 Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization COLT 2023 CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models EMNLP 2023 Distilling Model Failures as Directions in Latent Space ICLR 2023 Does It Pay to Optimize AUC? AAAI 2023 LEACE: Perfect linear concept erasure in closed form NeurIPS 2023 Linear Classifier: An Often-Forgotten Baseline for Text Classification ACL 2023 Mitigating Memorization of Noisy Labels via Regularization between Representations ICLR 2023 PAC-learning for Strategic Classification JMLR 2023