Escaping the Big Data Paradigm with Compact Transformers

12 April 2021

Papers citing "Escaping the Big Data Paradigm with Compact Transformers"

50 / 215 papers shown

Title
Multi-modal Deep Learning Chen Yuhua MedIm 23 35 0 06 Mar 2024
ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic Seizures S. Rukhsar Anil Kumar Tiwari 16 2 0 05 Mar 2024
Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification Puru Vaish Shunxin Wang N. Strisciuglio 30 9 0 04 Mar 2024
Can Transformers Capture Spatial Relations between Objects? Chuan Wen Dinesh Jayaraman Yang Gao ViT 14 3 0 01 Mar 2024
Deep Homography Estimation for Visual Place Recognition Feng Lu Shuting Dong Lijun Zhang Bingxi Liu Xiangyuan Lan Dongmei Jiang Chun Yuan 33 10 0 25 Feb 2024
Towards Cross-Domain Continual Learning Marcus Vinícius de Carvalho Mahardhika Pratama Jie M. Zhang Chua Haoyan E. Yapp CLL 36 0 0 19 Feb 2024
Pre-training of Lightweight Vision Transformers on Small Datasets with Minimally Scaled Images Jen Hong Tan ViT 11 2 0 06 Feb 2024
Do deep neural networks utilize the weight space efficiently? Onur Can Koyun B. U. Toreyin 8 0 0 26 Jan 2024
Cross-Domain Few-Shot Learning via Adaptive Transformer Networks Naeem Paeedeh Mahardhika Pratama M. A. Ma'sum Wolfgang Mayer Zehong Cao Ryszard Kowlczyk 24 9 0 25 Jan 2024
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning Chu Myaet Thwal Minh N. H. Nguyen Ye Lin Tun Seongjin Kim My T. Thai Choong Seon Hong 49 5 0 22 Jan 2024
Harnessing Orthogonality to Train Low-Rank Neural Networks D. Coquelin Katharina Flügel Marie Weiel Nicholas Kiefer Charlotte Debus Achim Streit Markus Goetz 10 1 0 16 Jan 2024
Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification Nathan Painchaud P. Courand Pierre-Marc Jodoin Nicolas Duchateau Olivier Bernard 34 2 0 15 Jan 2024
Knee or ROC Veronica Wendt Byunggu Yu Caleb Kelly Junwhan Kim 27 0 0 14 Jan 2024
Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket Zhaokun Zhou Kaiwei Che Wei Fang Keyu Tian Yuesheng Zhu Shuicheng Yan Yonghong Tian Liuliang Yuan ViT 37 27 0 04 Jan 2024
Algebraic Positional Encodings Konstantinos Kogkalidis Jean-Philippe Bernardy Vikas K. Garg 14 1 0 26 Dec 2023
Structured Inverse-Free Natural Gradient: Memory-Efficient & Numerically-Stable KFAC Wu Lin Felix Dangel Runa Eschenhagen Kirill Neklyudov Agustinus Kristiadi Richard E. Turner Alireza Makhzani 16 3 0 09 Dec 2023
Are Vision Transformers More Data Hungry Than Newborn Visual Systems? Lalit Pandey Samantha M. W. Wood Justin N. Wood 21 11 0 05 Dec 2023
Spiking Neural Networks with Dynamic Time Steps for Vision Transformers Gourav Datta Zeyu Liu Anni Li P. Beerel 23 1 0 28 Nov 2023
MARformer: An Efficient Metal Artifact Reduction Transformer for Dental CBCT Images Yuxuan Shi Jun Xu Dinggang Shen MedIm 17 0 0 16 Nov 2023
Traffic Sign Recognition Using Local Vision Transformer Ali Farzipour Omid Nejati Manzari S. B. Shokouhi ViT 24 5 0 11 Nov 2023
TinyFormer: Efficient Transformer Design and Deployment on Tiny Devices Jianlei Yang Jiacheng Liao Fanding Lei Meichen Liu Junyi Chen Lingkun Long Han Wan Bei Yu Weisheng Zhao MoE 33 2 0 03 Nov 2023
Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems David T. Hoffmann Simon Schrodi Jelena Bratulić Nadine Behrmann Volker Fischer Thomas Brox 27 5 0 19 Oct 2023
AANet: Aggregation and Alignment Network with Semi-hard Positive Sample Mining for Hierarchical Place Recognition Feng Lu Lijun Zhang Shuting Dong Baifan Chen Chun Yuan 47 12 0 08 Oct 2023
PriViT: Vision Transformers for Fast Private Inference Naren Dhyani Jianqiao Mo Minsu Cho Ameya Joshi Siddharth Garg Brandon Reagen Chinmay Hegde 18 4 0 06 Oct 2023
Asca: less audio data is more insightful Xiang Li Jing Chen Chao Li Hongwu Lv 12 0 0 23 Sep 2023
Toward a Deeper Understanding: RetNet Viewed through Convolution Chenghao Li Chaoning Zhang ViT 29 7 0 11 Sep 2023
DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices Guanyu Xu Zhiwei Hao Yong Luo Han Hu J. An Shiwen Mao ViT 30 13 0 10 Sep 2023
Exemplar-Free Continual Transformer with Convolutions Anurag Roy Vinay K. Verma Sravan Voonna Kripabandhu Ghosh Saptarshi Ghosh Abir Das CLL BDL 15 10 0 22 Aug 2023
Patch Is Not All You Need Chang-bo Li Jie M. Zhang Yang Wei Zhilong Ji Jinfeng Bai Shiguang Shan ViT 44 1 0 21 Aug 2023
Improving Depth Gradient Continuity in Transformers: A Comparative Study on Monocular Depth Estimation with CNN Jiawei Yao Tong Wu Xiaofeng Zhang ViT MDE 35 74 0 16 Aug 2023
Attention-free Spikformer: Mixing Spike Sequences with Simple Linear Transforms Qingyu Wang Duzhen Zhang Tielin Zhang Bo Xu 26 3 0 02 Aug 2023
SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings Yejia Zhang Pengfei Gu Nishchal Sapkota Da Chen 43 7 0 23 Jul 2023
Revisiting Implicit Models: Sparsity Trade-offs Capability in Weight-tied Model for Vision Tasks Haobo Song Soumajit Majumder Tao R. Lin VLM 18 0 0 16 Jul 2023
ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers Gamze Islamoglu Moritz Scherer G. Paulin Tim Fischer Victor J. B. Jung Angelo Garofalo Luca Benini MQ 14 11 0 07 Jul 2023
More for Less: Compact Convolutional Transformers Enable Robust Medical Image Classification with Limited Data Andrew Gao MedIm 15 3 0 01 Jul 2023
Triggering Dark Showers with Conditional Dual Auto-Encoders Luca Anzalone S. S. Chhibra B. Maier N. Chernyavskaya M. Pierini AI4CE 24 4 0 22 Jun 2023
Mitigating Communication Costs in Neural Networks: The Role of Dendritic Nonlinearity Xundong Wu Pengfei Zhao Zilin Yu Lei Ma K. Yip Huajin Tang Gang Pan Poirazi Panayiota Tiejun Huang 16 0 0 21 Jun 2023
Lightweight Monocular Depth Estimation via Token-Sharing Transformer Dong-Jae Lee Jae Young Lee Hyounguk Shon Eojindl Yi Yeong-Hun Park Sung-Jin Cho Junmo Kim ViT MDE 6 4 0 09 Jun 2023
T-ADAF: Adaptive Data Augmentation Framework for Image Classification Network based on Tensor T-product Operator F. Han Yun Miao Zhao Sun Yimin Wei 12 6 0 07 Jun 2023
Exploring Simple, High Quality Out-of-Distribution Detection with L2 Normalization J. Haas William Yolland B. Rabus OODD 8 0 0 07 Jun 2023
Energy-Based Models for Cross-Modal Localization using Convolutional Transformers Alan Wu Michael S. Ryoo 21 3 0 06 Jun 2023
Auto-Spikformer: Spikformer Architecture Search Kaiwei Che Zhaokun Zhou Zhengyu Ma Wei Fang Yanqing Chen Shuaijie Shen Liuliang Yuan Yonghong Tian 21 4 0 01 Jun 2023
Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-Concatenation J. Sun Xiaoshuang Shi Zhiyuan Weng Kaidi Xu H. Shen Xiao-lan Zhu MLLM 22 2 0 28 May 2023
Learning Sequence Descriptor based on Spatio-Temporal Attention for Visual Place Recognition Junqiao Zhao Fenglin Zhang Yingfeng Cai Geng Tian Wenjie Mu Chen Ye Tiantian Feng 15 4 0 19 May 2023
Mimetic Initialization of Self-Attention Layers Asher Trockman J. Zico Kolter 23 30 0 16 May 2023
Lightweight Convolution Transformer for Cross-patient Seizure Detection in Multi-channel EEG Signals S. Rukhsar A. Tiwari 24 9 0 07 May 2023
BrainNPT: Pre-training of Transformer networks for brain network classification Jinlong Hu Ya-Lin Huang Nan Wang Shoubin Dong ViT MedIm 18 6 0 02 May 2023
Vision Conformer: Incorporating Convolutions into Vision Transformer Layers Brian Kenji Iwana Akihiro Kusuda ViT 32 2 0 27 Apr 2023
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network Chenlin Zhou Liutao Yu Zhaokun Zhou Zhengyu Ma Han Zhang Huihui Zhou Yonghong Tian 25 59 0 24 Apr 2023
Dilated-UNet: A Fast and Accurate Medical Image Segmentation Approach using a Dilated Transformer and U-Net Architecture Davoud Saadati Omid Nejati Manzari S. Mirzakuchaki ViT MedIm 16 15 0 22 Apr 2023