Unifying and Merging Well-trained Deep Neural Networks for Inference Stage

We propose a novel method to merge convolutional neural-nets for the inference stage. Given two well-trained networks that may have different architectures that handle different tasks, our method aligns the layers of the original networks and merges them into a unified model by sharing the representative codes of weights. The shared weights are further re-trained to fine-tune the performance of the merged model. The proposed method effectively produces a compact model that may run original tasks simultaneously on resource-limited devices. As it preserves the general architectures and leverages the co-used weights of well-trained networks, a substantial training overhead can be reduced to shorten the system development time. Experimental results demonstrate a satisfactory performance and validate the effectiveness of the method.Comment: To appear in the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence, 2018. (IJCAI-ECAI 2018

POR UMA ESTÉTICA DA DIFERENÇA: UM DIÁLOGO ENTRE DELEUZE E ARTAUD

Nosso trabalho traça um diálogo entre a poética surrealista de Antonin Artaud e a filosofia de Gilles Deleuze. Duas referências foram fundamentais: o conceito deleuziano de sentido e a concepção artaudiana de um corpo sem órgãos. Tomando os escritos de Artaud e as obras de Deleuze como Lógica do sentido e Diferença e Repetição, procuramos elucidar tanto esteticamente como filosoficamente aquilo que pode contribuir para a constituição de uma estética da diferença

Poemas chineses

Apresentamos aqui três versões de dois poemas de Li Po. Durante o trabalho, deparamo-nos com a delicada tarefa de transpor a estrutura sintética dos poemas, o que nos levou à extrema concisão no processo de tradução. A visualidade ideogrâmica e a riqueza imagética da poesia chinesa foram aspectos fundamentais que exigiram bastante cuidado de nossa parte, incluindo o próprio universo cifrado e simbólico dos poemas

Decay Constants of Pseudoscalar DD-mesons in Lattice QCD with Domain-Wall Fermion

We present the first study of the masses and decay constants of the pseudoscalar $D$ mesons in two flavors lattice QCD with domain-wall fermion. The gauge ensembles are generated on the $24^3 \times 48$ lattice with the extent $N_s = 16$ in the fifth dimension, and the plaquette gauge action at $\beta = 6.10$, for three sea-quark masses with corresponding pion masses in the range $260-475$ MeV. We compute the point-to-point quark propagators, and measure the time-correlation functions of the pseudoscalar and vector mesons. The inverse lattice spacing is determined by the Wilson flow, while the strange and the charm quark masses by the masses of the vector mesons $\phi(1020)$ and $J/\psi(3097)$ respectively. Using heavy meson chiral perturbation theory (HMChPT) to extrapolate to the physical pion mass, we obtain $f_D = 202.3(2.2)(2.6)$ MeV and $f_{D_s} = 258.7(1.1)(2.9)$ MeV.Comment: 15 pages, 3 figures. v2: the statistics of ensemble (A) with m_sea = 0.005 has been increased, more details on the systematic error, to appear in Phys. Lett.

Knowledge-Rich Approach to Automatic Grammatical Information Acquisition: Enriching Chinese Sketch Engine with a Lexical Grammar

PACLIC 20 / Wuhan, China / 1-3 November, 200

Knowledge-Rich Approach to Automatic Grammatical Information Acquisition: Enriching Chinese Sketch Engine with a Lexical Grammar

PACLIC 20 / Wuhan, China / 1-3 November, 200