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introduction model experiments conclusion zero-shot learning via class-conditioned deep generative models wenlin wang joint with yunchen pu vinay kumar verma kai fan yizhe…
zero-shot learning via class-conditioned deep generative models wenlin wang1∗, yunchen pu1, vinay kumar verma3, kai fan2, yizhe zhang2 changyou chen4, piyush rai3∗, lawrence…
zero-shot learning via visual abstraction stanislaw antol1, c. lawrence zitnick2, and devi parikh1 1 virginia tech, blacksburg, va, usa 2 microsoft research, redmond, wa,…
generalized zero-shot learning with deep calibration network shichen liu† mingsheng long†b jianmin wang† and michael i jordan †school of software tsinghua university…
multi-label zero-shot learning with structured knowledge graphs chung-wei lee1∗ wei fang1∗ chih-kuan yeh2 yu-chiang frank wang1 department of electrical engineering national…
learning a deep embedding model for zero-shot learning li zhang tao xiang shaogang gong queen mary university of london {davidlizhang txiang sgong}@qmulacuk abstract zero-shot…
creativity inspired zero-shot learning mohamed elhoseiny12 mohamed elfeki3 1facebook ai research fair 2king abdullah university of science and technology kaust 3university…
proceedings of the 58th annual meeting of the association for computational linguistics pages 122–132 july 5 - 10 2020 c©2020 association for computational linguistics…
zero-shot learning via visual abstraction stanislaw antol1, c. lawrence zitnick2, and devi parikh1 1 virginia tech, blacksburg, va, usa 2 microsoft research, redmond, wa,…
“zero-shot” super-resolution using deep internal learning assaf shocher∗ nadav cohen† michal irani∗ ∗dept. of computer science and applied math, the weizmann…
write a classifier: zero-shot learning using purely textual descriptions mohamed elhoseiny babak saleh ahmed elgammal department of computer science rutgers university new…
task-driven modular networks for zero-shot compositional learning senthil purushwalkam∗ carnegie mellon university spurushw@andrewcmuedu maximilian nickel facebook ai research…
creativity inspired zero-shot learning mohamed elhoseiny12 mohamed elfeki3 1facebook ai research fair 2king abdullah university of science and technology kaust 3university…
less is more: zero-shot learning from online textual documents with noise suppression∗ ruizhi qiao, lingqiao liu, chunhua shen, anton van den hengel school of computer…
1. roelof pieters “zero-‐shot learning through cross-‐modal transfer” 20 february 2015 deep learning reading group richard socher,…
a generative adversarial approach for zero-shot learning from noisy texts yizhe zhu1 mohamed elhoseiny2 bingchen liu1 xi peng1 and ahmed elgammal1 yizhezhu@rutgersedu elhoseiny@fbcom…
1 fine-grained object recognition and zero-shot learning in remote sensing imagery gencer sumbul ramazan gokberk cinbis and selim aksoy senior member ieee abstract—fine-grained…
deep tree learning for zero-shot face anti-spoofing yaojie liu joel stehouwer amin jourabloo xiaoming liu department of computer science and engineering michigan state university…
multimodal deep learning zeynep akata zero-shot learning latent embeddings for zero-shot image classification xian et.al., cvpr’16 & cvpr’17 w large error w₁ w₂…
1 zero-shot learning - a comprehensive evaluation of the good the bad and the ugly yongqin xian student member ieee christoph h lampert bernt schiele fellow ieee and zeynep…