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\begin{aligned} I_{C L U B}(X, C)-I(X, C)&=E_{p(x, c)}[\log (p(c \mid x))]-E_{p(x)} E_{p(c)}[\log (p(c \mid x))]\\ &-E_{p(x, c)}[\log (p(c \mid x))]+E_{p(x)} E_{p(c)}[\log (p(c))]\\ &=E_{p(c)}\left[\log (p(c))-E_...
[Coreset] Coresets via Bilevel Optimization for Continual Learning and Streaming(NeurIPS 2020)[paper] [FROMP] Continual Deep Learning by Functional Regularisation of Memorable Past(NeurIPS 2020)[paper][code] [DER] Dark Experience for General Continual Learning: a Strong, Simple Baseline(NeurIPS 2020...
Moreover, the cognitive-styles hypothesis of Pashler et al. (2009) presents a crossover interaction that learners with a specific cognitive type achieve better learning performance when adopting an teaching method matching their cognitive style (Kirschner, 2017). Similarly, some studies demonstrate ...
spection” is retrospective thought after an incident that interrogates what could have been done, and the need to seek out habits and “make them available for re-questioning…. to maintain a conjecturing ‘as-if’ stance towards the whole process of learning and teaching” (Mason 1994, p....
mini_batch: s, a, r, s_p, done = experience obs_batch.append(s) action_batch.append(a) reward_batch.append(r) next_obs_batch.append(s_p) done_batch.append(done) return np.array(obs_batch).astype('float32'), \ np.array(action_batch).astype('...
由于并非所有专家模型都能生成高质量的图像,因此先根据\mathbb{p}_{s}生成多张图像,然后引入了质量分数来评估生成图像的质量,分数高于一定阈值的图像才可以添加到数据集G中。如果生成的图像为\mathbb{y}_{s},那么delta CLIP score可以定义为\mathbb{y}_{s}的 CLIP 分数在图像\boldsymbol{x} \in \mathbb{C...
P.S: Don't assume anything I say in the mnemonic stories (for both added-in and original outlines) to be true! There's a ton of made-up information, but it's all there to help you learn the outlines for these words. In addition, mentions of products or companies in stories does ...
(sn∣sn)]\mathcal{P} = \begin{bmatrix} P(s_1|s_1) & \cdots & P(s_n|s_1)\\ \vdots & \ddots & \vdots\\ P(s_1|s_n) & \cdots & P(s_n|s_n)\\ \end{bmatrix} P=P(s1∣s1)⋮P(s1∣sn)⋯⋱⋯P(sn∣s1)⋮P(sn∣...
p, Shifted Rastrigin function (f16). q, Shifted Sphere function (f17). r, Shifted Weierstrass function (f18). s, Hybrid Composite function 2 (f19). t, Hybrid composite function 3 (f20). u, Empirical probabilities of different methods in finding the global optimum (maximum generation =...