ICASSP 2023:ENTROPY BASED FEATURE REGULARIZATION TO IMPROVE TRANSFERABILITY OF DEEP LEARNING MODELS 分类任务中的标签往往只包含了数据集中的部分内容信息,例如自然图像中包含多个对象,但是标签中只有一个对象被标记。在使用 crossentropy 在这样的“粗标签”上进行训练时,对导致模型在“粗标签”上的过拟合,从而丢失...
首先,作者们提出了两种新的带 entropy regularization 的 stochastic policy gradient method,一个基于 unbiased visitation-based estimator,即需要估计每一组 state-action pair 出现的次数,另一个则是 nearly unbiased visitation-based estimator。其次,尽管由于 entropy regularizer 的存在,我们的目标函数是unbounded 的,...
A regularization method based on the non-extensive maximum entropy principle is devised. Special emphasis is given to the q = 1/2 case. We show that, when the residual principle is considered as constraint, the q = 1/2 generalized distribution of Tsallis yields a regularized solution for bad...
terms are neglected.Instead, we propose a knowledge-free Entropy-based Attention Regularization (EAR) to discourage overfitting to training-specific terms. An additional objective function penalizes tokens with low self-attention entropy.We fine-tune BERT via EAR: the resulting model matches or exceeds...
Therefore, in this paper, we study the maximum entropy based regularization model and gradient methods for solving the corresponding optimization problem. Numerical tests are made for synthetic aerosol data to show the efficiency and feasibility of the proposed algorithms. (脗漏 2008 WILEY-VCH Verlag...
Image Dehazing Using Quadtree Decomposition and Entropy-Based Contextual Regularization In this letter, an improved single image dehazing technique based on quadtree decomposition and entropy-based weighted contextual regularization is propose... N Baig,MM Riaz,A Ghafoor,... - 《IEEE Signal Processing ...
Entropy Regularization is a type of regularization used in reinforcement learning. For on-policy policy gradient based methods like A3C, the same mutual reinforcement behaviour leads to a highly-peaked $\pi\left(a\mid{s}\right)$ towards a few actions or action sequences, since it is easier ...
Edge detection in SAR segmentation based onregularization method; 基于正则化方法的SAR图像分割及目标边缘检测算法 2. Dwell time algorithm based on matrix algebra andregularization method; 基于线性代数和正则化方法的驻留时间算法 3. Aregularization methodfor an operator equation of the first kind; ...
In the mentioned machine learning algorithms, parameters such as the learning rate or regularization factor are tuned through cross-validation to achieve optimal results. Similarly, in our EC-GBM model, the hyperparameter \(\epsilon\), which controls the degree of entropy correction, plays a ...
这篇工作和它稍有区别,这里是想估计一个 discounted future state distribution,然后在学习的基础上加一个探索的 bonus/regularization。 相关的有很多方法也在原本奖励函数的基础上加入 pseudo-reward,以鼓励探索,包括专栏前面讲过的一些方法和 curiosity-driven [Pathak et al 2017], count-based exploration [Belle...