Integrating Typology into Neural Dependency Parsers
也许有用
Integrating Typology into Neural Dependency Parsers
也许有用
Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model
未找到论文也许有用
Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables
未找到论文,也许有用
形态学
cache_dir c
分布式训练可用
cannot b
值函数难以实际计算;使用神经网络fai;类似代替
mitigate
减轻
trades off sample efficiency in favor of stability
虽然样本有效性不足,但保持了稳定性
which makes them weaker on sample efficiency.
原因呢?样本有效性不足
for a good reason:
有充分理由
predates
早
culminating
高潮
高潮
episode-specific
特定路径
first obs comes from starting distribution
初始状态:
batch_lens = [] # for measuring episode lengths
不知道
eights_ph = tf.placeholder(shape=(None,), dtype=tf.float32)
weights_ph: R(tau)
Trajectories are also frequently called episodes or rollouts.
episodes
occluded
阻止
dexterous
轻巧的
ntence A and Sentence B are separated by the ||| delimiter for sentence # pair tasks like question answering and entailment. # For single sentence inputs, put one sentence per line and DON'T use the # delimiter. echo 'Who was Jim Henson ? |
next
The output of the top encoder is then transformed into a set of attention vectors K and V.
怎么转的?
residual connection
不知道
important
Both forms assume numerator layout for ∂ U ∂ X i j , {\displaystyle {\frac {\partial \mathbf {U} }{\partial X_{ij}}},}
求导
[5] ∂ g ( U ) ∂ X i j = {\displaystyle {\frac {\partial g(\mathbf {U} )}{\partial X_{ij}}}=}
求导
Numerator layout, i.e. lay out according to y and xT (i.e. contrarily to x). This is sometimes known as the Jacobian formulation. Denominator layout, i.e. lay out according to yT and x (i.e. contraril
两种布局;
action="store_true"
action:count,store_true,