Papers citing "Language Models are Few-Shot Learners"

50 / 11,214 papers shown

Title
How does a Pre-Trained Transformer Integrate Contextual Keywords? Application to Humanitarian Computing Valentin Barrière Guillaume Jacquet 16 1 0 07 Nov 2021
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling Renrui Zhang Rongyao Fang Wei Zhang Peng Gao Kunchang Li Jifeng Dai Yu Qiao Hongsheng Li VLM 194 387 0 06 Nov 2021
Exploiting a Zoo of Checkpoints for Unseen Tasks Jiaji Huang Qiang Qiu Kenneth Church 27 4 0 05 Nov 2021
Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers Yanhong Zeng Huan Yang Hongyang Chao Jianbo Wang Jianlong Fu ViT 27 26 0 05 Nov 2021
LILA: Language-Informed Latent Actions Siddharth Karamcheti Megha Srivastava Percy Liang Dorsa Sadigh LM&Ro 30 31 0 05 Nov 2021
B-Pref: Benchmarking Preference-Based Reinforcement Learning Kimin Lee Laura M. Smith Anca Dragan Pieter Abbeel OffRL 40 93 0 04 Nov 2021
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding Subhabrata Mukherjee Xiaodong Liu Guoqing Zheng Saghar Hosseini Hao Cheng Greg Yang Christopher Meek Ahmed Hassan Awadallah Jianfeng Gao ELM 33 11 0 04 Nov 2021
LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs Christoph Schuhmann Richard Vencu Romain Beaumont R. Kaczmarczyk Clayton Mullis Aarush Katta Theo Coombes J. Jitsev Aran Komatsuzaki VLM MLLM CLIP 48 1,380 0 03 Nov 2021
Automatic Evaluation and Moderation of Open-domain Dialogue Systems Chen Zhang João Sedoc L. F. D’Haro Rafael E. Banchs Alexander I. Rudnicky 22 36 0 03 Nov 2021
An Explanation of In-context Learning as Implicit Bayesian Inference Sang Michael Xie Aditi Raghunathan Percy Liang Tengyu Ma ReLM BDL VPVLM LRM 79 695 0 03 Nov 2021
OpenPrompt: An Open-source Framework for Prompt-learning Ning Ding Shengding Hu Weilin Zhao Yulin Chen Zhiyuan Liu Haitao Zheng Maosong Sun VLM LLMAG 37 284 0 03 Nov 2021
Discovering Supply Chain Links with Augmented Intelligence Achintya Gopal Chun-Han Chang 40 3 0 02 Nov 2021
AI Ethics Statements -- Analysis and lessons learnt from NeurIPS Broader Impact Statements Carolyn Ashurst Emmie Hine Paul Sedille A. Carlier 37 28 0 02 Nov 2021
LMdiff: A Visual Diff Tool to Compare Language Models Hendrik Strobelt Benjamin Hoover Arvind Satyanarayan Sebastian Gehrmann VLM 37 19 0 02 Nov 2021
MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks Nicholas Hoernle Rafael-Michael Karampatsis Vaishak Belle Y. Gal 27 59 0 02 Nov 2021
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP Trapit Bansal K. Gunasekaran Tong Wang Tsendsuren Munkhdalai Andrew McCallum SSL OOD 51 19 0 02 Nov 2021
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey Bonan Min Hayley L Ross Elior Sulem Amir Pouran Ben Veyseh Thien Huu Nguyen Oscar Sainz Eneko Agirre Ilana Heinz Dan Roth LM&MA VLM AI4CE 83 1,038 0 01 Nov 2021
Towards Language Modelling in the Speech Domain Using Sub-word Linguistic Units Anurag Katakkar A. Black AuLLM 30 1 0 31 Oct 2021
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning Robert Hönig Yiren Zhao Robert D. Mullins FedML 109 54 0 31 Oct 2021
All-In-One: Artificial Association Neural Networks Seokjun Kim Jaeeun Jang Hyeoncheol Kim 32 0 0 31 Oct 2021
MetaICL: Learning to Learn In Context Sewon Min M. Lewis Luke Zettlemoyer Hannaneh Hajishirzi LRM 72 470 0 29 Oct 2021
Self-Supervised Learning Disentangled Group Representation as Feature Tan Wang Zhongqi Yue Jianqiang Huang Qianru Sun Hanwang Zhang OOD 36 67 0 28 Oct 2021
Semi-Siamese Bi-encoder Neural Ranking Model Using Lightweight Fine-Tuning Euna Jung Jaekeol Choi Wonjong Rhee 22 13 0 28 Oct 2021
Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training Yongbin Li Hongxin Liu Zhengda Bian Boxiang Wang Haichen Huang Fan Cui Chuan-Qing Wang Yang You GNN 30 143 0 28 Oct 2021
Training Verifiers to Solve Math Word Problems K. Cobbe V. Kosaraju Mohammad Bavarian Mark Chen Heewoo Jun ... Jerry Tworek Jacob Hilton Reiichiro Nakano Christopher Hesse John Schulman ReLM OffRL LRM 73 3,886 0 27 Oct 2021
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes Sanghyun Hong Michael-Andrei Panaitescu-Liess Yigitcan Kaya Tudor Dumitras MQ 60 13 0 26 Oct 2021
Distributionally Robust Recurrent Decoders with Random Network Distillation Antonio Valerio Miceli Barone Alexandra Birch Rico Sennrich 39 1 0 25 Oct 2021
Demystifying and Generalizing BinaryConnect Abhishek Sharma Yaoliang Yu Eyyub Sari Mahdi Zolnouri V. Nia MQ 22 8 0 25 Oct 2021
Unsupervised Source Separation By Steering Pretrained Music Models Ethan Manilow P. O'Reilly Prem Seetharaman Bryan Pardo 24 2 0 25 Oct 2021
AxoNN: An asynchronous, message-driven parallel framework for extreme-scale deep learning Siddharth Singh A. Bhatele GNN 34 14 0 25 Oct 2021
CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning Zhensu Sun Xiaoning Du Fu Song Mingze Ni Li Li 30 68 0 25 Oct 2021
Practical Galaxy Morphology Tools from Deep Supervised Representation Learning Mike Walmsley Anna M. M. Scaife Chris J. Lintott Michelle Lochner Yu Zhu ... Xibo Ma Sandor Kruk Zhen Lei G. Guo B. Simmons 24 29 0 25 Oct 2021
Contrastively Disentangled Sequential Variational Autoencoder M. Kiener Weiran Wang Michael Gerndt CoGe DRL 32 40 0 22 Oct 2021
When to Prune? A Policy towards Early Structural Pruning Maying Shen Pavlo Molchanov Hongxu Yin J. Álvarez VLM 28 53 0 22 Oct 2021
SOFT: Softmax-free Transformer with Linear Complexity Jiachen Lu Jinghan Yao Junge Zhang Martin Danelljan Hang Xu Weiguo Gao Chunjing Xu Thomas B. Schon Li Zhang 18 161 0 22 Oct 2021
Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model A. Bodin N. Macris 37 13 0 22 Oct 2021
Sinkformers: Transformers with Doubly Stochastic Attention Michael E. Sander Pierre Ablin Mathieu Blondel Gabriel Peyré 32 77 0 22 Oct 2021
Wav2CLIP: Learning Robust Audio Representations From CLIP Ho-Hsiang Wu Prem Seetharaman Kundan Kumar J. P. Bello CLIP VLM 48 268 0 21 Oct 2021
MixNorm: Test-Time Adaptation Through Online Normalization Estimation Xuefeng Hu M. Uzunbas Sirius Chen Rui Wang Ashish Shah Ram Nevatia Ser-Nam Lim TTA 28 47 0 21 Oct 2021
Fast Model Editing at Scale E. Mitchell Charles Lin Antoine Bosselut Chelsea Finn Christopher D. Manning KELM 230 343 0 21 Oct 2021
Transformer Acceleration with Dynamic Sparse Attention Liu Liu Zheng Qu Zhaodong Chen Yufei Ding Yuan Xie 19 20 0 21 Oct 2021
HALP: Hardware-Aware Latency Pruning Maying Shen Hongxu Yin Pavlo Molchanov Lei Mao Jianna Liu J. Álvarez VLM 46 13 0 20 Oct 2021
Data-Driven Offline Optimization For Architecting Hardware Accelerators Aviral Kumar Amir Yazdanbakhsh Milad Hashemi Kevin Swersky Sergey Levine 27 36 0 20 Oct 2021
Interpreting Deep Learning Models in Natural Language Processing: A Review Xiaofei Sun Diyi Yang Xiaoya Li Tianwei Zhang Yuxian Meng Han Qiu Guoyin Wang Eduard H. Hovy Jiwei Li 19 44 0 20 Oct 2021
SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training Ankur Bapna Yu-An Chung Na Wu Anmol Gulati Ye Jia J. Clark Melvin Johnson Jason Riesa Alexis Conneau Yu Zhang VLM 61 94 0 20 Oct 2021
Expressivity of Neural Networks via Chaotic Itineraries beyond Sharkovsky's Theorem Clayton Sanford Vaggos Chatziafratis 16 1 0 19 Oct 2021
Inductive Biases and Variable Creation in Self-Attention Mechanisms Benjamin L. Edelman Surbhi Goel Sham Kakade Cyril Zhang 27 117 0 19 Oct 2021
BERMo: What can BERT learn from ELMo? Sangamesh Kodge Kaushik Roy 38 3 0 18 Oct 2021
NormFormer: Improved Transformer Pretraining with Extra Normalization Sam Shleifer Jason Weston Myle Ott AI4CE 33 74 0 18 Oct 2021
Self-Supervised Representation Learning: Introduction, Advances and Challenges Linus Ericsson Henry Gouk Chen Change Loy Timothy M. Hospedales SSL OOD AI4TS 34 273 0 18 Oct 2021