---
title: "Other — papers, page 18"
description: "Other: 743 papers of the Elamur Research library · page 18 of 30 — our summary of each, its ideas, references and who cites it."
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# 📦 Other

743 papers · page 18 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/17/) [1](https://md.research.elamur.ai/free/en/shelves/other/) … [17](https://md.research.elamur.ai/free/en/shelves/other/page/17/) **18** [19](https://md.research.elamur.ai/free/en/shelves/other/page/19/) … [30](https://md.research.elamur.ai/free/en/shelves/other/page/30/) [next →](https://md.research.elamur.ai/free/en/shelves/other/page/19/)

- [SoundStream: An End-to-End Neural Audio Codec](https://md.research.elamur.ai/free/en/papers/zeghidour-2021-soundstream-end-end-neural-audio/) — Neil Zeghidour, Alejandro Luebs, Ahmed Omran, et al. · 2021
- [Structured Denoising Diffusion Models in Discrete State-Spaces](https://md.research.elamur.ai/free/en/papers/austin-2021-structured-denoising-diffusion-models-discrete/) — Jacob Austin, Daniel D. Johnson, Jonathan Ho, et al. · 2021
- [Swin Transformer: Hierarchical Vision Transformer using Shifted Windows](https://md.research.elamur.ai/free/en/papers/liu-2021-swin-transformer-hierarchical-vision-transformer/) — Ze Liu, Yutong Lin, Yue Cao, et al. · 2021
- [TAPEX: Table Pre-training via Learning a Neural SQL Executor](https://md.research.elamur.ai/free/en/papers/liu-2021-tapex-table-pre-training-learning/) — Qian Liu, Bei Chen, Jiaqi Guo, et al. · 2021
- [The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/inoue-2021-interplay-variant-size-task-type/) — Go Inoue, Bashar Alhafni, Nurpeiis Baimukan, et al. · 2021
- [Towards a Unified View of Parameter-Efficient Transfer Learning](https://md.research.elamur.ai/free/en/papers/he-2021-towards-unified-view-parameter-efficient/) — Junxian He, Chunting Zhou, Xuezhe Ma, et al. · 2021
- [Towards Understanding and Mitigating Social Biases in Language Models](https://md.research.elamur.ai/free/en/papers/liang-2021-towards-understanding-mitigating-social-biases/) — Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency, et al. · 2021
- [True Few-Shot Learning with Language Models](https://md.research.elamur.ai/free/en/papers/perez-2021-true-few-shot-learning-language/) — Ethan Perez, Douwe Kiela, Kyunghyun Cho · 2021
- [Unsupervised Dense Information Retrieval with Contrastive Learning](https://md.research.elamur.ai/free/en/papers/izacard-2021-unsupervised-dense-information-retrieval-contrastive/) — Gautier Izacard, Mathilde Caron, Lucas Hosseini, et al. · 2021
- [ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision](https://md.research.elamur.ai/free/en/papers/kim-2021-vilt-vision-language-transformer-convolution/) — Wonjae Kim, Bokyung Son, Ildoo Kim · 2021
- [WebGPT: Browser-assisted question-answering with human feedback](https://md.research.elamur.ai/free/en/papers/nakano-2021-webgpt-browser-assisted-question-answering/) — Reiichiro Nakano, Jacob Hilton, Suchir Balaji, et al. · 2021
- [XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale](https://md.research.elamur.ai/free/en/papers/babu-2021-xls-r-self-supervised-cross/) — Arun Babu, Changhan Wang, Andros Tjandra, et al. · 2021
- [Zero-Shot Text-to-Image Generation](https://md.research.elamur.ai/free/en/papers/ramesh-2021-zero-shot-text-image-generation/) — Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, et al. · 2021
- [A Frustratingly Easy Approach for Entity and Relation Extraction](https://md.research.elamur.ai/free/en/papers/zhong-2020-frustratingly-easy-approach-entity-relation/) — Zexuan Zhong, Danqi Chen · 2020
- [A Simple Framework for Contrastive Learning of Visual Representations](https://md.research.elamur.ai/free/en/papers/chen-2020-simple-framework-contrastive-learning-visual/) — Ting Chen, Simon Kornblith, Mohammad Norouzi, et al. · 2020
- [AdapterFusion: Non-Destructive Task Composition for Transfer Learning](https://md.research.elamur.ai/free/en/papers/pfeiffer-2020-adapterfusion-non-destructive-task-composition/) — Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, et al. · 2020
- [ALFWorld: Aligning Text and Embodied Environments for Interactive Learning](https://md.research.elamur.ai/free/en/papers/shridhar-2020-alfworld-aligning-text-embodied-environments/) — Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, et al. · 2020
- [Aligning AI With Shared Human Values](https://md.research.elamur.ai/free/en/papers/hendrycks-2020-aligning-ai-shared-human-values/) — Dan Hendrycks, Collin Burns, Steven Basart, et al. · 2020
- [Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval](https://md.research.elamur.ai/free/en/papers/xiong-2020-approximate-nearest-neighbor-negative-contrastive/) — Lee Xiong, Chenyan Xiong, Ye Li, et al. · 2020
- [AraBERT: Transformer-based Model for Arabic Language Understanding](https://md.research.elamur.ai/free/en/papers/antoun-2020-arabert-transformer-based-model-arabic/) — Wissam Antoun, Fady Baly, Hazem Hajj · 2020
- [BERTweet: A pre-trained language model for English Tweets](https://md.research.elamur.ai/free/en/papers/nguyen-2020-bertweet-pre-trained-language-model/) — Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen · 2020
- [CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims](https://md.research.elamur.ai/free/en/papers/diggelmann-2020-climate-fever-dataset-verification-real/) — Thomas Diggelmann, Jordan Boyd-Graber, Jannis Bulian, et al. · 2020
- [Conformer: Convolution-augmented Transformer for Speech Recognition](https://md.research.elamur.ai/free/en/papers/gulati-2020-conformer-convolution-augmented-transformer-speech/) — Anmol Gulati, James Qin, Chung-Cheng Chiu, et al. · 2020
- [DART: Open-Domain Structured Data Record to Text Generation](https://md.research.elamur.ai/free/en/papers/nan-2020-dart-open-domain-structured-data/) — Linyong Nan, Dragomir Radev, Rui Zhang, et al. · 2020
- [Data Augmentation using Pre-trained Transformer Models](https://md.research.elamur.ai/free/en/papers/kumar-2020-data-augmentation-using-pre-trained/) — Varun Kumar, Ashutosh Choudhary, Eunah Cho · 2020

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