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sketching (2) support vector machine (2) node degree (1) core vector machine (1) finite newton method (1) autoregressive denoising (1) fine-tuning free (1) interaction reasoning (1) eigenvalues (1) performance (1)

Papers

GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration ICML 2025 Near-optimal Sketchy Natural Gradients for Physics-Informed Neural Networks ICML 2025 WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving ICML 2025 DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training ICML 2024 PolySketchFormer: Fast Transformers via Sketching Polynomial Kernels ICML 2024 Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling ICML 2023 Semi-supervised Learning for Large Scale Image Cosegmentation ICCV 2013 A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs JMLR 2005 Core Vector Machines: Fast SVM Training on Very Large Data Sets JMLR 2005