暂无分享,去创建一个
Shaoliang Nie | Xiang Ren | Maziar Sanjabi | Hamed Firooz | Woojeong Jin | Liang Tan | Maziar Sanjabi | Xiang Ren | Hamed Firooz | Shaoliang Nie | Woojeong Jin | L Tan
[1] Hongyi Zhang,et al. mixup: Beyond Empirical Risk Minimization , 2017, ICLR.
[2] Lijun Wu,et al. Learning to Teach with Deep Interactions , 2020, ArXiv.
[3] Mark Chen,et al. Language Models are Few-Shot Learners , 2020, NeurIPS.
[4] Graham W. Taylor,et al. Improved Regularization of Convolutional Neural Networks with Cutout , 2017, ArXiv.
[5] Quoc V. Le,et al. Self-Training With Noisy Student Improves ImageNet Classification , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Yonglong Tian,et al. Contrastive Representation Distillation , 2019, ICLR.
[7] Matthieu Cord,et al. RUBi: Reducing Unimodal Biases in Visual Question Answering , 2019, NeurIPS.
[8] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[9] Xinlei Chen,et al. Towards VQA Models That Can Read , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Jitendra Malik,et al. Cross Modal Distillation for Supervision Transfer , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Jiebo Luo,et al. VizWiz Grand Challenge: Answering Visual Questions from Blind People , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[12] Du Tran,et al. What Makes Training Multi-Modal Classification Networks Hard? , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Bin Yang,et al. Learning to Reweight Examples for Robust Deep Learning , 2018, ICML.
[14] J. Stenton,et al. Learning how to teach. , 1973, Nursing mirror and midwives journal.
[15] Margaret Mitchell,et al. VQA: Visual Question Answering , 2015, International Journal of Computer Vision.
[16] Yan Lu,et al. Relational Knowledge Distillation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Zachary Chase Lipton,et al. Born Again Neural Networks , 2018, ICML.
[18] Rich Caruana,et al. Do Deep Nets Really Need to be Deep? , 2013, NIPS.
[19] Qi Xie,et al. Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting , 2019, NeurIPS.
[20] Peter Young,et al. From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions , 2014, TACL.
[21] Qun Liu,et al. TinyBERT: Distilling BERT for Natural Language Understanding , 2020, EMNLP.
[22] Fabio A. González,et al. Gated Multimodal Units for Information Fusion , 2017, ICLR.
[23] Rafael Müller,et al. Subclass Distillation , 2020, ArXiv.
[24] Asim Kadav,et al. Visual Entailment: A Novel Task for Fine-Grained Image Understanding , 2019, ArXiv.
[25] Lijun Wu,et al. Learning to Teach with Dynamic Loss Functions , 2018, NeurIPS.
[26] Quoc V. Le,et al. Unsupervised Data Augmentation for Consistency Training , 2019, NeurIPS.
[27] Yi Li,et al. REPAIR: Removing Representation Bias by Dataset Resampling , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Yash Goyal,et al. Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Yoshua Bengio,et al. FitNets: Hints for Thin Deep Nets , 2014, ICLR.
[30] Sangheum Hwang,et al. Self-Knowledge Distillation: A Simple Way for Better Generalization , 2020, ArXiv.
[31] Dhruv Batra,et al. Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[32] Li Fei-Fei,et al. MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels , 2017, ICML.
[33] Greg Mori,et al. Similarity-Preserving Knowledge Distillation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[34] Bernhard Schölkopf,et al. Fidelity-Weighted Learning , 2017, ICLR.
[35] Douwe Kiela,et al. The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes , 2020, NeurIPS.
[36] Geoffrey E. Hinton,et al. Distilling the Knowledge in a Neural Network , 2015, ArXiv.
[37] Cho-Jui Hsieh,et al. VisualBERT: A Simple and Performant Baseline for Vision and Language , 2019, ArXiv.