Straight-Through Estimator

Latest papers

CardsList

11 papers2 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. Q-MINO: A Minimal-Norm Method for Quantization-Aware Training

    Sep 30, 2026Don LiStraight-Through EstimatorQuantization-Aware Training

  2. StableVQ: Practical Guidelines for Stable Vector-Quantized Tokenizer Training

    Sep 22, 2026Bao Tang, Jiahao Guo, Haoxiang Cao +4Straight-Through EstimatorVector Quantization

  3. Propensity Straight-Through Gradients for Discrete Stochastic Systems

    Aug 26, 2026Jose M. G. Vilar, Leonor SaizStraight-Through EstimatorMarkov Chains

  4. Understanding Quantization-Aware Training: Gradients at Quantized Weights Bias to the Low-Loss Basin

    Jun 8, 2026Hanyang Li, Jianhao Ma, Ying CuiNeural Network OptimizationStraight-Through Estimator

  5. Gradient estimators for parameter inference in discrete stochastic kinetic models

    Apr 2, 2026Ludwig Burger, Annalena Kofler, Lukas Heinrich +1Straight-Through EstimatorParameter Estimation

  6. SoftJAX & SoftTorch: Empowering Automatic Differentiation Libraries with Informative Gradients

    Mar 9, 2026Anselm Paulus, A. René Geist, Vít Musil +3Straight-Through EstimatorDifferentiable Programming

  7. Beyond ReinMax: Low-Variance Gradient Estimators for Discrete Latent Variables

    Mar 9, 2026Daniel Wang, Thang D. BuiStraight-Through EstimatorVariance Reduction

  8. Exact Discrete Stochastic Simulation with Deep-Learning-Scale Gradient Optimization

    Feb 23, 2026Jose M. G. Vilar, Leonor SaizStraight-Through EstimatorMarkov Chains