2016-08-15 Papers


  • Marginalized Denoising Autoencoders for Domain Adaptation

http://arxiv.org/pdf/1206.4683

  • A New PAC-Bayesian Perspective on Domain Adaptation

http://arxiv.org/pdf/1506.04573

  • Domain Adaptation for Learning from¬†Label Proportions Using Self-Training

http://www.ijcai.org/Proceedings/16/Papers/516.pdf

  • Supervised Heterogeneous Domain Adaptation via Random Forests

https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwjfuM3xnsTOAhXMlh4KHUNGAI0QFggcMAA&url=http%3A%2F%2Fwww.ijcai.org%2FProceedings%2F16%2FPapers%2F291.pdf&usg=AFQjCNElbewvzgIrlCqJ6g1qAAgSSSlvEQ&bvm=bv.129422649,d.dmo

  • Deep Nonlinear Feature Coding for¬†Unsupervised Domain Adaptation

https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwjg7uyTn8TOAhXFFh4KHUj7AeEQFgghMAA&url=http%3A%2F%2Fwww.ijcai.org%2FProceedings%2F16%2FPapers%2F312.pdf&usg=AFQjCNE8ZWFtAzp0za4EHZUnmsZGW4PqHw&bvm=bv.129422649,d.dmo

  • Semi-supervised Sequence Learning

https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwictKPCn8TOAhWG9x4KHRzpAQIQFgghMAA&url=https%3A%2F%2Fpapers.nips.cc%2Fpaper%2F5949-semi-supervised-sequence-learning.pdf&usg=AFQjCNFi_8bOPu361mtaI13MWB_aHDlspg&bvm=bv.129422649,d.dmo

  • A Hierarchical Neural Autoencoder for Paragraphs and Documents

https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&uact=8&ved=0ahUKEwjFwbbYn8TOAhVB6x4KHcdwD5MQFggsMAE&url=https%3A%2F%2Fweb.stanford.edu%2F~jurafsky%2Fpubs%2FP15-1107.pdf&usg=AFQjCNETett8G8NSTl_L-gREiKKP8tFYxg&bvm=bv.129422649,d.dmo

  • Grammar as a Foreign Language

https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwisptbqn8TOAhWGNx4KHUufAnUQFggcMAA&url=https%3A%2F%2Fpapers.nips.cc%2Fpaper%2F5635-grammar-as-a-foreign-language.pdf&usg=AFQjCNELENZf9OsnZ6q0LexQYcbjCHBv0w&bvm=bv.129422649,d.dmo

  • Skip-Thought Vectors

https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&uact=8&ved=0ahUKEwiokt6FoMTOAhVHlh4KHbtuBKsQFggoMAE&url=https%3A%2F%2Farxiv.org%2Fpdf%2F1506.06726&usg=AFQjCNGgfIfg5leG9gyRlO0EUjl-c-rYVQ&bvm=bv.129422649,d.dmo

 

 

 

 

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