--- title: "Other — papers, page 20" description: "Other: 743 papers of the Elamur Research library · page 20 of 30 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/other/page/20/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/other/page/20/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Other](https://md.research.elamur.ai/free/en/shelves/other/) / page 20 # 📦 Other 743 papers · page 20 of 30 · newest first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Works whose topics fit none of the fields above yet. [← prev](https://md.research.elamur.ai/free/en/shelves/other/page/19/) [1](https://md.research.elamur.ai/free/en/shelves/other/) … [19](https://md.research.elamur.ai/free/en/shelves/other/page/19/) **20** [21](https://md.research.elamur.ai/free/en/shelves/other/page/21/) … [30](https://md.research.elamur.ai/free/en/shelves/other/page/30/) [next →](https://md.research.elamur.ai/free/en/shelves/other/page/21/) - [Pre-trained Models for Natural Language Processing: A Survey](https://md.research.elamur.ai/free/en/papers/qiu-2020-pre-trained-models-natural-language/) — Xipeng Qiu, Tianxiang Sun, Yige Xu, et al. · 2020 - [Pretrained Transformers Improve Out-of-Distribution Robustness](https://md.research.elamur.ai/free/en/papers/hendrycks-2020-pretrained-transformers-improve-out-distribution/) — Dan Hendrycks, Xiaoyuan Liu, Eric Wallace, et al. · 2020 - [ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning](https://md.research.elamur.ai/free/en/papers/yu-2020-reclor-reading-comprehension-dataset-requiring/) — Weihao Yu, Zihang Jiang, Yanfei Dong, et al. · 2020 - [Reformer: The Efficient Transformer](https://md.research.elamur.ai/free/en/papers/kitaev-2020-reformer-efficient-transformer/) — Nikita Kitaev, Łukasz Kaiser, Anselm Levskaya · 2020 - [Rethinking embedding coupling in pre-trained language models](https://md.research.elamur.ai/free/en/papers/chung-2020-rethinking-embedding-coupling-pre-trained/) — Hyung Won Chung, Thibault Févry, Henry Tsai, et al. · 2020 - [Revisiting Few-sample BERT Fine-tuning](https://md.research.elamur.ai/free/en/papers/zhang-2020-revisiting-few-sample-bert-fine/) — Tianyi Zhang, Felix Wu, Arzoo Katiyar, et al. · 2020 - [Revisiting Pre-Trained Models for Chinese Natural Language Processing](https://md.research.elamur.ai/free/en/papers/cui-2020-revisiting-pre-trained-models-chinese/) — Yiming Cui, Wanxiang Che, Ting Liu, et al. · 2020 - [RobBERT: a Dutch RoBERTa-based Language Model](https://md.research.elamur.ai/free/en/papers/delobelle-2020-robbert-dutch-roberta-based-language/) — Pieter Delobelle, Thomas Winters, Bettina Berendt · 2020 - [Score-Based Generative Modeling through Stochastic Differential Equations](https://md.research.elamur.ai/free/en/papers/song-2020-score-based-generative-modeling-through/) — Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, et al. · 2020 - [Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning](https://md.research.elamur.ai/free/en/papers/gunel-2020-supervised-contrastive-learning-pre-trained/) — Beliz Gunel, Jingfei Du, Alexis Conneau, et al. · 2020 - [TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP](https://md.research.elamur.ai/free/en/papers/morris-2020-textattack-framework-adversarial-attacks-data/) — John X. Morris, Eli Lifland, Jin Yong Yoo, et al. · 2020 - [The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes](https://md.research.elamur.ai/free/en/papers/kiela-2020-hateful-memes-challenge-detecting-hate/) — Douwe Kiela, Hamed Firooz, Aravind Mohan, et al. · 2020 - [The State and Fate of Linguistic Diversity and Inclusion in the NLP World](https://md.research.elamur.ai/free/en/papers/joshi-2020-state-fate-linguistic-diversity-inclusion/) — Pratik Joshi, Sebastin Santy, Amar Budhiraja, et al. · 2020 - [Towards a Human-like Open-Domain Chatbot](https://md.research.elamur.ai/free/en/papers/adiwardana-2020-towards-human-like-open-domain/) — Daniel Adiwardana, Minh-Thang Luong, David R. So, et al. · 2020 - [Training data-efficient image transformers & distillation through attention](https://md.research.elamur.ai/free/en/papers/touvron-2020-training-data-efficient-image-transformers/) — Hugo Touvron, Matthieu Cord, Matthijs Douze, et al. · 2020 - [Transformers as Soft Reasoners over Language](https://md.research.elamur.ai/free/en/papers/clark-2020-transformers-soft-reasoners-over-language/) — Peter Clark, Oyvind Tafjord, Kyle Richardson · 2020 - [TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification](https://md.research.elamur.ai/free/en/papers/barbieri-2020-tweeteval-unified-benchmark-comparative-evaluation/) — Francesco Barbieri, Jose Camacho-Collados, Leonardo Neves, et al. · 2020 - [UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training](https://md.research.elamur.ai/free/en/papers/bao-2020-unilmv2-pseudo-masked-language-models/) — Hangbo Bao, Li Dong, Furu Wei, et al. · 2020 - [wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations](https://md.research.elamur.ai/free/en/papers/baevski-2020-wav2vec-2-0-framework-self/) — Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, et al. · 2020 - [What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams](https://md.research.elamur.ai/free/en/papers/jin-2020-disease-this-patient-have-large/) — Di Jin, Eileen Pan, Nassim Oufattole, et al. · 2020 - [XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization](https://md.research.elamur.ai/free/en/papers/hu-2020-xtreme-massively-multilingual-multi-task/) — Junjie Hu, Sebastian Ruder, Aditya Siddhant, et al. · 2020 - [A Comprehensive Survey on Graph Neural Networks](https://md.research.elamur.ai/free/en/papers/wu-2019-comprehensive-survey-graph-neural-networks/) — Zonghan Wu, Shirui Pan, Fengwen Chen, et al. · 2019 - [A Corpus for Reasoning About Natural Language Grounded in Photographs (NLVR2)](https://md.research.elamur.ai/free/en/papers/suhr-2019-corpus-reasoning-natural-language-grounded/) — Alane Suhr, Stephanie Zhou, Ally Zhang, et al. · 2019 - [A Multiscale Visualization of Attention in the Transformer Model](https://md.research.elamur.ai/free/en/papers/vig-2019-multiscale-visualization-attention-transformer-model/) — Jesse Vig · 2019 - [A Survey on Bias and Fairness in Machine Learning](https://md.research.elamur.ai/free/en/papers/mehrabi-2019-survey-bias-fairness-machine-learning/) — Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, et al. · 2019 [← prev](https://md.research.elamur.ai/free/en/shelves/other/page/19/) [1](https://md.research.elamur.ai/free/en/shelves/other/) … [19](https://md.research.elamur.ai/free/en/shelves/other/page/19/) **20** [21](https://md.research.elamur.ai/free/en/shelves/other/page/21/) … [30](https://md.research.elamur.ai/free/en/shelves/other/page/30/) [next →](https://md.research.elamur.ai/free/en/shelves/other/page/21/)