--- title: "Other — papers, page 19" description: "Other: 743 papers of the Elamur Research library · page 19 of 30 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/other/page/19/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/other/page/19/) [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 19 # 📦 Other 743 papers · page 19 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/18/) [1](https://md.research.elamur.ai/free/en/shelves/other/) … [18](https://md.research.elamur.ai/free/en/shelves/other/page/18/) **19** [20](https://md.research.elamur.ai/free/en/shelves/other/page/20/) … [30](https://md.research.elamur.ai/free/en/shelves/other/page/30/) [next →](https://md.research.elamur.ai/free/en/shelves/other/page/20/) - [DeBERTa: Decoding-enhanced BERT with Disentangled Attention](https://md.research.elamur.ai/free/en/papers/he-2020-deberta-decoding-enhanced-bert-disentangled/) — Pengcheng He, Xiaodong Liu, Jianfeng Gao, et al. · 2020 - [Denoising Diffusion Implicit Models](https://md.research.elamur.ai/free/en/papers/song-2020-denoising-diffusion-implicit-models/) — Jiaming Song, Chenlin Meng, Stefano Ermon · 2020 - [DocVQA: A Dataset for VQA on Document Images](https://md.research.elamur.ai/free/en/papers/mathew-2020-docvqa-dataset-vqa-document-images/) — Minesh Mathew, Dimosthenis Karatzas, C.V. Jawahar · 2020 - [Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing](https://md.research.elamur.ai/free/en/papers/gu-2020-domain-specific-language-model-pretraining/) — Yu Gu; Robert Tinn; Hao Cheng; Michael Lucas; Naoto Usuyama; Xiaodong Liu; Tristan Naumann; Jianfeng Gao;, Hoifung Poon · 2020 - [Efficient Content-Based Sparse Attention with Routing Transformers](https://md.research.elamur.ai/free/en/papers/roy-2020-efficient-content-based-sparse-attention/) — Aurko Roy, Mohammad Saffar, Ashish Vaswani, et al. · 2020 - [Efficient Transformers: A Survey](https://md.research.elamur.ai/free/en/papers/tay-2020-efficient-transformers-survey/) — Yi Tay, Mostafa Dehghani, Dara Bahri, et al. · 2020 - [End-to-End Object Detection with Transformers](https://md.research.elamur.ai/free/en/papers/carion-2020-end-end-object-detection-transformers/) — Nicolas Carion, Francisco Massa, Gabriel Synnaeve, et al. · 2020 - [Extracting Training Data from Large Language Models](https://md.research.elamur.ai/free/en/papers/carlini-2020-extracting-training-data-large-language/) — Nicholas Carlini, Florian Tramer, Eric Wallace, et al. · 2020 - [Generation-Augmented Retrieval for Open-domain Question Answering](https://md.research.elamur.ai/free/en/papers/mao-2020-generation-augmented-retrieval-open-domain/) — Yuning Mao, Pengcheng He, Xiaodong Liu, et al. · 2020 - [Gradient Surgery for Multi-Task Learning](https://md.research.elamur.ai/free/en/papers/yu-2020-gradient-surgery-multi-task-learning/) — Tianhe Yu, Saurabh Kumar, Abhishek Gupta, et al. · 2020 - [How Context Affects Language Models' Factual Predictions](https://md.research.elamur.ai/free/en/papers/petroni-2020-context-affects-language-models-factual/) — Fabio Petroni, Patrick Lewis, Aleksandra Piktus, et al. · 2020 - [HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data](https://md.research.elamur.ai/free/en/papers/chen-2020-hybridqa-dataset-multi-hop-question/) — Wenhu Chen, Hanwen Zha, Zhiyu Chen, et al. · 2020 - [InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training](https://md.research.elamur.ai/free/en/papers/chi-2020-infoxlm-information-theoretic-framework-cross/) — Zewen Chi, Li Dong, Furu Wei, et al. · 2020 - [K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters](https://md.research.elamur.ai/free/en/papers/wang-2020-k-adapter-infusing-knowledge-pre/) — Ruize Wang, Duyu Tang, Nan Duan, et al. · 2020 - [KILT: a Benchmark for Knowledge Intensive Language Tasks](https://md.research.elamur.ai/free/en/papers/petroni-2020-kilt-benchmark-knowledge-intensive-language/) — Fabio Petroni, Aleksandra Piktus, Angela Fan, et al. · 2020 - [Language-agnostic BERT Sentence Embedding](https://md.research.elamur.ai/free/en/papers/feng-2020-language-agnostic-bert-sentence-embedding/) — Fangxiaoyu Feng, Yinfei Yang, Daniel Cer, et al. · 2020 - [LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning](https://md.research.elamur.ai/free/en/papers/liu-2020-logiqa-challenge-dataset-machine-reading/) — Jian Liu, Leyang Cui, Hanmeng Liu, et al. · 2020 - [Long Range Arena: A Benchmark for Efficient Transformers](https://md.research.elamur.ai/free/en/papers/tay-2020-long-range-arena-benchmark-efficient/) — Yi Tay, Mostafa Dehghani, Samira Abnar, et al. · 2020 - [Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation](https://md.research.elamur.ai/free/en/papers/reimers-2020-making-monolingual-sentence-embeddings-multilingual/) — Nils Reimers, Iryna Gurevych · 2020 - [Measuring and Reducing Gendered Correlations in Pre-trained Models](https://md.research.elamur.ai/free/en/papers/webster-2020-measuring-reducing-gendered-correlations-pre/) — Kellie Webster, Xuezhi Wang, Ian Tenney, et al. · 2020 - [MLS: A Large-Scale Multilingual Dataset for Speech Research](https://md.research.elamur.ai/free/en/papers/pratap-2020-mls-large-scale-multilingual-dataset/) — Vineel Pratap, Qiantong Xu, Anuroop Sriram, et al. · 2020 - [MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices](https://md.research.elamur.ai/free/en/papers/sun-2020-mobilebert-compact-task-agnostic-bert/) — Zhiqing Sun, Hongkun Yu, Xiaodan Song, et al. · 2020 - [MPNet: Masked and Permuted Pre-training for Language Understanding](https://md.research.elamur.ai/free/en/papers/song-2020-mpnet-masked-permuted-pre-training/) — Kaitao Song, Xu Tan, Tao Qin, et al. · 2020 - [Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks](https://md.research.elamur.ai/free/en/papers/li-2020-oscar-object-semantics-aligned-pre/) — Xiujun Li, Xi Yin, Chunyuan Li, et al. · 2020 - [Overview of the TREC 2019 deep learning track](https://md.research.elamur.ai/free/en/papers/craswell-2020-overview-trec-2019-deep-learning/) — Nick Craswell, Bhaskar Mitra, Emine Yilmaz, et al. · 2020 [← prev](https://md.research.elamur.ai/free/en/shelves/other/page/18/) [1](https://md.research.elamur.ai/free/en/shelves/other/) … [18](https://md.research.elamur.ai/free/en/shelves/other/page/18/) **19** [20](https://md.research.elamur.ai/free/en/shelves/other/page/20/) … [30](https://md.research.elamur.ai/free/en/shelves/other/page/30/) [next →](https://md.research.elamur.ai/free/en/shelves/other/page/20/)