Papers citing "Language Models are Few-Shot Learners"

50 / 11,082 papers shown

Title
Abstract Neural Networks Matthew Sotoudeh Aditya V. Thakur 8 19 0 11 Sep 2020
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples Timo Freiesleben GAN 41 62 0 11 Sep 2020
SoK: Certified Robustness for Deep Neural Networks Linyi Li Tao Xie Bo-wen Li AAML 33 128 0 09 Sep 2020
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding Sahar Abdelnabi Mario Fritz WaLM 28 89 0 07 Sep 2020
Accenture at CheckThat! 2020: If you say so: Post-hoc fact-checking of claims using transformer-based models Evan Williams Paul Rodrigues Valerie Novak 42 42 0 05 Sep 2020
Learning to summarize from human feedback Nisan Stiennon Long Ouyang Jeff Wu Daniel M. Ziegler Ryan J. Lowe Chelsea Voss Alec Radford Dario Amodei Paul Christiano ALM 40 1,984 0 02 Sep 2020
Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity Cong Guo B. Hsueh Jingwen Leng Yuxian Qiu Yue Guan Zehuan Wang Xiaoying Jia Xipeng Li M. Guo Yuhao Zhu 35 1 0 29 Aug 2020
A Survey of Evaluation Metrics Used for NLG Systems Ananya B. Sai Akash Kumar Mohankumar Mitesh M. Khapra ELM 33 230 0 27 Aug 2020
Periodic Stochastic Gradient Descent with Momentum for Decentralized Training Hongchang Gao Heng-Chiao Huang 23 25 0 24 Aug 2020
Tearing Down the Memory Wall Zaid Qureshi Vikram Sharma Mailthody S. Min I-Hsin Chung Jinjun Xiong Wen-mei W. Hwu GNN 28 9 0 24 Aug 2020
Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems Andrea Madotto Zihan Liu Zhaojiang Lin Pascale Fung 43 58 0 14 Aug 2020
DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis Ming Tao Hao Tang Fei Wu Xiaoyuan Jing Bingkun Bao Changsheng Xu 38 209 0 13 Aug 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 34 161 0 06 Aug 2020
Aligning AI With Shared Human Values Dan Hendrycks Collin Burns Steven Basart Andrew Critch Jingkai Li D. Song Jacob Steinhardt 63 517 0 05 Aug 2020
Word meaning in minds and machines Brenden M. Lake G. Murphy NAI 15 117 0 04 Aug 2020
PowerGossip: Practical Low-Rank Communication Compression in Decentralized Deep Learning Thijs Vogels Sai Praneeth Karimireddy Martin Jaggi FedML 11 54 0 04 Aug 2020
Representation Learning with Video Deep InfoMax R. Devon Hjelm Philip Bachman SSL MDE 26 28 0 27 Jul 2020
Bollyrics: Automatic Lyrics Generator for Romanised Hindi N. Jain A. Chauhan Atharva Chewale Ojas Mithbavkar Ujjaval Shah M. Singh 25 1 0 25 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning Evan Vogelbaum Rumen Dangovski L. Jing Marin Soljacic 34 3 0 17 Jul 2020
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review A. Shoeibi Marjane Khodatars M. Jafari Navid Ghassemi Delaram Sadeghi ... Z. Sani F. Khozeimeh S. Nahavandi U. Acharya Juan M Gorriz 51 178 0 16 Jul 2020
Deep Learning in Protein Structural Modeling and Design Wenhao Gao S. Mahajan Jeremias Sulam Jeffrey J. Gray 29 159 0 16 Jul 2020
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering Gautier Izacard Edouard Grave RALM 46 1,108 0 02 Jul 2020
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights Shail Dave Riyadh Baghdadi Tony Nowatzki Sasikanth Avancha Aviral Shrivastava Baoxin Li 59 82 0 02 Jul 2020
Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge Pat Verga Haitian Sun Livio Baldini Soares William W. Cohen KELM 35 50 0 02 Jul 2020
Computing Conceptual Distances between Breast Cancer Screening Guidelines: An Implementation of a Near-Peer Epistemic Model of Medical Disagreement Hossein Hematialam Luciana D. Garbayo Seethalakshmi Gopalakrishnan Wlodek Zadrozny 11 1 0 01 Jul 2020
Data Movement Is All You Need: A Case Study on Optimizing Transformers A. Ivanov Nikoli Dryden Tal Ben-Nun Shigang Li Torsten Hoefler 36 131 0 30 Jun 2020
Technical Report: Auxiliary Tuning and its Application to Conditional Text Generation Yoel Zeldes Dan Padnos Or Sharir Barak Peleg 25 19 0 30 Jun 2020
PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning Siqi Bao H. He Fan Wang Hua Wu Haifeng Wang Wenquan Wu Zhen Guo Zhibin Liu Xinchao Xu 30 137 0 30 Jun 2020
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding Dmitry Lepikhin HyoukJoong Lee Yuanzhong Xu Dehao Chen Orhan Firat Yanping Huang M. Krikun Noam M. Shazeer Z. Chen MoE 43 1,108 0 30 Jun 2020
Natural Backdoor Attack on Text Data Lichao Sun SILM 16 39 0 29 Jun 2020
Answering Questions on COVID-19 in Real-Time Jinhyuk Lee Sean S. Yi Minbyul Jeong Mujeen Sung Wonjin Yoon Yonghwa Choi Miyoung Ko Jaewoo Kang 18 43 0 29 Jun 2020
Evaluation of Text Generation: A Survey Asli Celikyilmaz Elizabeth Clark Jianfeng Gao ELM LM&MA 19 376 0 26 Jun 2020
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures Julien Launay Iacopo Poli Franccois Boniface Florent Krzakala 36 62 0 23 Jun 2020
The Depth-to-Width Interplay in Self-Attention Yoav Levine Noam Wies Or Sharir Hofit Bata Amnon Shashua 30 45 0 22 Jun 2020
MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of Gradients Chenfei Zhu Yu Cheng Zhe Gan Furong Huang Jingjing Liu Tom Goldstein ODL 35 2 0 21 Jun 2020
A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19 David Oniani Yanshan Wang 11 32 0 19 Jun 2020
An adaptive stochastic gradient-free approach for high-dimensional blackbox optimization Anton Dereventsov Clayton Webster Joseph Daws 22 10 0 18 Jun 2020
When Does Preconditioning Help or Hurt Generalization? S. Amari Jimmy Ba Roger C. Grosse Xuechen Li Atsushi Nitanda Taiji Suzuki Denny Wu Ji Xu 36 32 0 18 Jun 2020
On the Predictability of Pruning Across Scales Jonathan S. Rosenfeld Jonathan Frankle Michael Carbin Nir Shavit 25 37 0 18 Jun 2020
What Do Neural Networks Learn When Trained With Random Labels? Hartmut Maennel Ibrahim M. Alabdulmohsin Ilya O. Tolstikhin R. Baldock Olivier Bousquet Sylvain Gelly Daniel Keysers FedML 48 87 0 18 Jun 2020
Neural Anisotropy Directions Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard 34 16 0 17 Jun 2020
Dynamic Tensor Rematerialization Marisa Kirisame Steven Lyubomirsky Altan Haan Jennifer Brennan Mike He Jared Roesch Tianqi Chen Zachary Tatlock 27 93 0 17 Jun 2020
Memory-Efficient Pipeline-Parallel DNN Training Deepak Narayanan Amar Phanishayee Kaiyu Shi Xie Chen Matei A. Zaharia MoE 36 212 0 16 Jun 2020
Surrogate gradients for analog neuromorphic computing Benjamin Cramer Sebastian Billaudelle Simeon Kanya Aron Leibfried Andreas Grubl ... Korbinian Schreiber Yannik Stradmann Johannes Weis Johannes Schemmel Friedemann Zenke 24 106 0 12 Jun 2020
VirTex: Learning Visual Representations from Textual Annotations Karan Desai Justin Johnson SSL VLM 30 432 0 11 Jun 2020
Linformer: Self-Attention with Linear Complexity Sinong Wang Belinda Z. Li Madian Khabsa Han Fang Hao Ma 63 1,647 0 08 Jun 2020
The Lipschitz Constant of Self-Attention Hyunjik Kim George Papamakarios A. Mnih 14 135 0 08 Jun 2020
An Overview of Neural Network Compression James OÑeill AI4CE 45 98 0 05 Jun 2020
DeBERTa: Decoding-enhanced BERT with Disentangled Attention Pengcheng He Xiaodong Liu Jianfeng Gao Weizhu Chen AAML 64 2,622 0 05 Jun 2020
A Survey on Transfer Learning in Natural Language Processing Zaid Alyafeai Maged S. Alshaibani Irfan Ahmad 30 72 0 31 May 2020