recent.bib

@comment{{This file has been generated by bib2bib 1.99}}
@comment{{Command line: bib2bib -ob src/recent.bib -c '$key="galloway2022bounding" or $key="thompson2022evaluation" or $key="shekhar2021neural" or $key="tsai2021deeprng" or $key="lisicki2021empirical" or $key="knyazev2021parameter" or $key="chung2021brick" or $key="knyazev2021generative" or $key="devries2021unconstrained" or $key="lu2021context" or $key="duke2021sstvos" or $key="saha2021loho"' research-common/gwt_pubs.bib}}
@article{galloway2022bounding,
  author = {Angus Galloway and Anna Golubeva and Mahmoud Salem and Mihai Nica and Yani Ioannou and Graham Taylor},
  title = {Bounding generalization error with input compression: An empirical study with infinite-width networks},
  journal = {Transactions on Machine Learning Research (TMLR)},
  pdf = {https://arxiv.org/abs/2207.09408},
  year = 2022
}
@inproceedings{thompson2022evaluation,
  author = {Rylee Thompson and Boris Knyazev and Elahe Ghalebi and Jungtaek Kim and Graham Taylor},
  title = {On Evaluation Metrics for Graph Generative Models},
  booktitle = {International Conference on Learning Representations (ICLR)},
  pdf = {https://arxiv.org/abs/2201.09871},
  year = 2022
}
@inproceedings{shekhar2021neural,
  author = {Shashank Shekhar and Graham Taylor},
  title = {Neural Structure Mapping For Learning Abstract Visual Analogies},
  booktitle = {Neural Information Processing Systems (NeurIPS) Workshop on Shared Visual Representations in Human and Machine Intelligence},
  pdf = {https://openreview.net/pdf?id=l-TLGjxwajn},
  year = 2021
}
@inproceedings{tsai2021deeprng,
  author = {Chuan{-}Yung Tsai and Graham Taylor},
  title = {{DeepRNG}: Towards Deep Reinforcement Learning-Assisted Generative Testing of Software},
  booktitle = {Neural Information Processing Systems (NeurIPS) Workshop on Machine Learning for Systems},
  pdf = {http://mlforsystems.org/assets/papers/neurips2021/deeprng_tsai_2021.pdf},
  year = 2021
}
@inproceedings{lisicki2021empirical,
  author = {Michal Lisicki and Arash Afkanpour and Graham Taylor},
  title = {An Empirical Study of Neural Kernel Bandits},
  booktitle = {Neural Information Processing Systems (NeurIPS) Workshop on Bayesian Deep Learning},
  pdf = {https://openreview.net/forum?id=5Rf4tYh8-AO¬eId=1VxMdKQmyjY&referrer=%5BAuthor%20Console%5D(%2Fgroup%3Fid%3DNeurIPS.cc%2F2021%2FWorkshop%2FBDL%2FAuthors%23your-submissions)},
  year = 2021
}
@inproceedings{knyazev2021parameter,
  author = {Boris Knyazev and Michal Drozdzal and Graham Taylor and Adriana Romero-Soriano},
  title = {Parameter Prediction for Unseen Deep Architectures},
  booktitle = {Neural Information Processing Systems (NeurIPS)},
  pdf = {https://arxiv.org/abs/2110.13100},
  year = 2021
}
@inproceedings{chung2021brick,
  author = {Hyunsoo Chung and Jungtaek Kim and Boris Knyazev and Jinhwi Lee and Graham Taylor and Jaesik Park and Minsu Cho},
  title = {Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning},
  booktitle = {Neural Information Processing Systems (NeurIPS)},
  pdf = {https://arxiv.org/abs/2110.15481},
  year = 2021
}
@inproceedings{devries2021unconstrained,
  author = {Terrance DeVries and Miguel Angel Bautista and Nitish Srivastava and Graham Taylor and Joshua M. Susskind},
  title = {Unconstrained Scene Generation with Locally Conditioned Radiance Fields},
  booktitle = {International Conference on Computer Vision (ICCV)},
  pdf = {https://arxiv.org/abs/2104.00670},
  year = 2021
}
@inproceedings{knyazev2021generative,
  author = {Boris Knyazev and Harm de Vries and Cătălina Cangea and Graham Taylor and Aaron Courville and Eugene Belilovsky},
  title = {Generative Compositional Augmentations for Scene Graph Prediction},
  booktitle = {International Conference on Computer Vision (ICCV)},
  pdf = {https://arxiv.org/pdf/2007.05756.pdf},
  year = 2021
}
@inproceedings{lu2021context,
  author = {Yichao Lu and Himanshu Rai and Cheng Chang and Boris Knyazev and Guangwei Yu and Shashank Shekhar and Graham Taylor and Maksims Volkovs},
  title = {Context-aware Scene Graph Generation with {Seq2Seq} Transformers},
  booktitle = {International Conference on Computer Vision (ICCV)},
  year = 2021
}
@inproceedings{duke2021sstvos,
  author = {Brendan Duke and Abdella Ahmed and Christian Wolf and Parham Aarabi and Graham Taylor},
  title = {{SSTVOS}: Sparse Spatiotemporal Transformers for Video Object Segmentation},
  booktitle = {Proc.~of the 34th {IEEE} Computer Society Conference on Computer Vision and Pattern Recognition ({CVPR})},
  pdf = {https://arxiv.org/abs/2101.08833},
  year = 2021
}
@inproceedings{saha2021loho,
  author = {Rohit Saha and Brendan Duke and Florian Shkurti and Graham Taylor and Parham Aarabi},
  title = {{LOHO}: Latent Optimization of Hairstyles via Orthogonalization},
  booktitle = {Proc.~of the 34th {IEEE} Computer Society Conference on Computer Vision and Pattern Recognition ({CVPR})},
  pdf = {https://arxiv.org/abs/2103.03891},
  year = 2021
}