Depth-Adaptive Transformer

22 October 2019

Papers citing "Depth-Adaptive Transformer"

40 / 40 papers shown

Title
Image Recognition with Online Lightweight Vision Transformer: A Survey Zherui Zhang Rongtao Xu Jie Zhou Changwei Wang Xingtian Pei ... Jiguang Zhang Li Guo Longxiang Gao W. Xu Shibiao Xu ViT 128 0 0 06 May 2025
Revisiting Transformers through the Lens of Low Entropy and Dynamic Sparsity Ruifeng Ren Yong Liu 114 0 0 26 Apr 2025
EPSILON: Adaptive Fault Mitigation in Approximate Deep Neural Network using Statistical Signatures Khurram Khalil K. A. Hoque AAML 78 0 0 24 Apr 2025
Towards Understanding How Knowledge Evolves in Large Vision-Language Models Sudong Wang Y. Zhang Yao Zhu Jianing Li Zizhe Wang Y. Liu Xiangyang Ji 120 0 0 31 Mar 2025
ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses Junjie Ni Guofeng Zhang Guanglin Li Yijin Li Xinyang Liu Zhaoyang Huang Hujun Bao ViT 63 2 0 30 Oct 2024
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA Sangmin Bae Adam Fisch Hrayr Harutyunyan Ziwei Ji Seungyeon Kim Tal Schuster KELM 76 5 0 28 Oct 2024
MrT5: Dynamic Token Merging for Efficient Byte-level Language Models Julie Kallini Shikhar Murty Christopher D. Manning Christopher Potts Róbert Csordás 32 2 0 28 Oct 2024
MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation Chenxi Wang Xiang Chen N. Zhang Bozhong Tian Haoming Xu Shumin Deng H. Chen MLLM LRM 29 4 0 15 Oct 2024
Hyper-multi-step: The Truth Behind Difficult Long-context Tasks Yijiong Yu Ma Xiufa Fang Jianwei Zhi-liang Xu Su Guangyao ... Zhixiao Qi Wei Wang W. Liu Ran Chen Ji Pei LRM RALM 27 0 0 06 Oct 2024
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models Xin Zou Yizhou Wang Yibo Yan Yuanhuiyi Lyu Kening Zheng ... Junkai Chen Peijie Jiang J. Liu Chang Tang Xuming Hu 81 7 0 04 Oct 2024
PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculation Branden Butler Sixing Yu Arya Mazaheri Ali Jannesari LRM 42 6 0 16 Jul 2024
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models Yash Akhauri Ahmed F. AbouElhamayed Jordan Dotzel Zhiru Zhang Alexander M Rush Safeen Huda Mohamed S. Abdelfattah 18 2 0 24 Jun 2024
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance Jaskirat Singh Emad Fallahzadeh Bram Adams Ahmed E. Hassan MQ 32 3 0 25 Mar 2024
Investigating Recurrent Transformers with Dynamic Halt Jishnu Ray Chowdhury Cornelia Caragea 37 1 0 01 Feb 2024
EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism Yanxi Chen Xuchen Pan Yaliang Li Bolin Ding Jingren Zhou LRM 33 31 0 08 Dec 2023
Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers Hongjie Wang Bhishma Dedhia N. Jha ViT VLM 36 26 0 27 May 2023
Can Public Large Language Models Help Private Cross-device Federated Learning? Boxin Wang Yibo Zhang Yuan Cao Bo-wen Li H. B. McMahan Sewoong Oh Zheng Xu Manzil Zaheer FedML 21 37 0 20 May 2023
Adaptive Deep Neural Network Inference Optimization with EENet Fatih Ilhan Ka-Ho Chow Sihao Hu Tiansheng Huang Selim Tekin ... Myungjin Lee Ramana Rao Kompella Hugo Latapie Gan Liu Ling Liu 26 11 0 15 Jan 2023
Fast Inference from Transformers via Speculative Decoding Yaniv Leviathan Matan Kalman Yossi Matias LRM 44 618 0 30 Nov 2022
ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation Junyi Li Tianyi Tang Wayne Xin Zhao J. Nie Ji-Rong Wen 22 17 0 24 Oct 2022
Unsupervised Early Exit in DNNs with Multiple Exits U. HariNarayanN M. Hanawal Avinash Bhardwaj 29 10 0 20 Sep 2022
Efficient Methods for Natural Language Processing: A Survey Marcos Vinícius Treviso Ji-Ung Lee Tianchu Ji Betty van Aken Qingqing Cao ... Emma Strubell Niranjan Balasubramanian Leon Derczynski Iryna Gurevych Roy Schwartz 28 109 0 31 Aug 2022
Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space Mor Geva Avi Caciularu Ke Wang Yoav Goldberg KELM 43 333 0 28 Mar 2022
Token Dropping for Efficient BERT Pretraining Le Hou Richard Yuanzhe Pang Tianyi Zhou Yuexin Wu Xinying Song Xiaodan Song Denny Zhou 22 42 0 24 Mar 2022
A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation Tianxiang Sun Xiangyang Liu Wei-wei Zhu Zhichao Geng Lingling Wu Yilong He Yuan Ni Guotong Xie Xuanjing Huang Xipeng Qiu 23 40 0 03 Mar 2022
Towards Efficient NLP: A Standard Evaluation and A Strong Baseline Xiangyang Liu Tianxiang Sun Junliang He Jiawen Wu Lingling Wu Xinyu Zhang Hao Jiang Zhao Cao Xuanjing Huang Xipeng Qiu ELM 21 46 0 13 Oct 2021
Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference Sneha Kudugunta Yanping Huang Ankur Bapna M. Krikun Dmitry Lepikhin Minh-Thang Luong Orhan Firat MoE 119 106 0 24 Sep 2021
Stateful ODE-Nets using Basis Function Expansions A. Queiruga N. Benjamin Erichson Liam Hodgkinson Michael W. Mahoney 27 16 0 21 Jun 2021
Accelerating BERT Inference for Sequence Labeling via Early-Exit Xiaonan Li Yunfan Shao Tianxiang Sun Hang Yan Xipeng Qiu Xuanjing Huang 16 40 0 28 May 2021
Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead Arian Bakhtiarnia Qi Zhang Alexandros Iosifidis 25 35 0 19 May 2021
Attention for Image Registration (AiR): an unsupervised Transformer approach Zihao W. Wang H. Delingette ViT MedIm 25 7 0 05 May 2021
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges Yoshitomo Matsubara Marco Levorato Francesco Restuccia 22 199 0 08 Mar 2021
Improving Anytime Prediction with Parallel Cascaded Networks and a Temporal-Difference Loss Michael L. Iuzzolino Michael C. Mozer Samy Bengio OOD 10 10 0 19 Feb 2021
Reservoir Transformers Sheng Shen Alexei Baevski Ari S. Morcos Kurt Keutzer Michael Auli Douwe Kiela 27 17 0 30 Dec 2020
Language Models not just for Pre-training: Fast Online Neural Noisy Channel Modeling Shruti Bhosale Kyra Yee Sergey Edunov Michael Auli 50 7 0 13 Nov 2020
AdapterDrop: On the Efficiency of Adapters in Transformers Andreas Rucklé Gregor Geigle Max Glockner Tilman Beck Jonas Pfeiffer Nils Reimers Iryna Gurevych 46 254 0 22 Oct 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 18 1,106 0 30 Jun 2020
The Right Tool for the Job: Matching Model and Instance Complexities Roy Schwartz Gabriel Stanovsky Swabha Swayamdipta Jesse Dodge Noah A. Smith 33 167 0 16 Apr 2020
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 243 1,450 0 18 Mar 2020
Classical Structured Prediction Losses for Sequence to Sequence Learning Sergey Edunov Myle Ott Michael Auli David Grangier MarcÁurelio Ranzato AIMat 48 185 0 14 Nov 2017