Machine Learning

Prototypical Calibrating Ambiguous Samples for Micro-Action Recognition AAAI 2025 Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss NAACL 2025 Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition AAAI 2025 ProtoVQA: An Adaptable Prototypical Framework for Explainable Fine-Grained Visual Question Answering EMNLP 2025 ProtoXTM: Cross-Lingual Topic Modeling with Document-Level Prototype-based Contrastive Learning EMNLP 2025 ProtPainter: Draw or Drag Protein via Topology-guided Diffusion ICLR 2025 Provable and Practical Online Learning Rate Adaptation with Hypergradient Descent ICML 2025 Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling ICLR 2025 Provable Benefit of Random Permutations over Uniform Sampling in Stochastic Coordinate Descent ICML 2025 Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models ICML 2025 Provable Complexity Improvement of AdaGrad over SGD: Upper and Lower Bounds in Stochastic Non-Convex Optimization COLT 2025 Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics ICLR 2025 Provable Convergence Bounds for Hybrid Dynamical Sampling and Optimization ICLR 2025 Provable Discriminative Hyperspherical Embedding for Out-of-Distribution Detection AAAI 2025 Provable In-Context Vector Arithmetic via Retrieving Task Concepts ICML 2025 Provable Length Generalization in Sequence Prediction via Spectral Filtering ICML 2025 Provable Maximum Entropy Manifold Exploration via Diffusion Models ICML 2025 Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization ICLR 2025 Provable Uncertainty Decomposition via Higher-Order Calibration ICLR 2025 Provable unlearning in topic modeling and downstream tasks ICLR 2025 Provable weak-to-strong generalization via benign overfitting ICLR 2025 Provably Accurate Shapley Value Estimation via Leverage Score Sampling ICLR 2025 Provably Adaptive Average Reward Reinforcement Learning for Metric Spaces UAI 2025 Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing ICML 2025 Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition ICML 2025