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• humans can learn a novel concept from a few samples • goal: let machine learning algorithms learn from a few samples (saiga antelope) introduction … …
generalized zero-shot learning with deep calibration network shichen liu† mingsheng long†b jianmin wang† and michael i jordan †school of software tsinghua university…
creativity inspired zero-shot learning mohamed elhoseiny12 mohamed elfeki3 1facebook ai research fair 2king abdullah university of science and technology kaust 3university…
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,…
open world compositional zero-shot learningmassimiliano mancini1 ∗, muhammad ferjad naeem1,2 ∗, yongqin xian3, zeynep akata1,3,4 1university of tubingen 2tu
model heterogeneities and new classes across fl iterations • on-device federated learning – characterization from multiple user devices for effective detection
ontozsl: ontology-enhanced zero-shot [email protected] zhejiang university hangzhou, china jiaoyan chen [email protected] university of oxford oxford, united
task-driven modular networks for zero-shot compositional learning senthil purushwalkam∗ carnegie mellon university spurushw@andrewcmuedu maximilian nickel facebook ai research…
1a unified approach for conventional zero-shot,generalized zero-shot and few-shot learningshafin rahman, salman h. khan and fatih porikliabstractprevalent techniques in zero-shot…
1. roelof pieters “zero-‐shot learning through cross-‐modal transfer” 20 february 2015 deep learning reading group richard socher,…
huajie jiang1,2,3, ruiping wang1, shiguang shan1, yi yang4, xilin chen1 1key laboratory of intelligent information processing of chinese academy of sciences (cas), institute
supplementary material massimiliano mancini1 ∗, muhammad ferjad naeem1,2 ∗, yongqin xian3, zeynep akata1,3,4 1university of tubingen 2tu munchen 3mpi for informatics
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…
creativity inspired zero-shot learning mohamed elhoseiny12 mohamed elfeki3 1facebook ai research fair 2king abdullah university of science and technology kaust 3university…
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…
discriminative learning of latent features for zero-shot recognition yan li 1,2, junge zhang 1,2, jianguo zhang 3, kaiqi huang 1,2,4 1 cripac nlpr, casia 2 university of…
zero-shot reinforcement learning with deep attention convolutional neural networks sahika genc artificial intelligence lab seattle wa 90121 sahika@amazoncom sunil mallya…
hyperbolic visual embedding learning for zero-shot recognition shaoteng liu1,2 jingjing chen1† liangming pan3 chong-wah ngo4 tat-seng chua3 yu-gang jiang1 1shanghai key…
zero-shot semantic segmentation maxime bucher valeo.ai [email protected] tuan-hung vu valeo.ai [email protected] matthieu cord sorbonne université valeo.ai [email protected]…
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…