A Study on ReLU and Softmax in Transformer

13 February 2023

Junliang Guo

Jiang Bian

Papers citing "A Study on ReLU and Softmax in Transformer"

33 / 33 papers shown

Title
Revisiting Transformers through the Lens of Low Entropy and Dynamic Sparsity Ruifeng Ren Yong Liu 156 0 0 26 Apr 2025
Quantum Doubly Stochastic Transformers Jannis Born Filip Skogh Kahn Rhrissorrakrai Filippo Utro Nico Wagner Aleksandros Sobczyk 27 0 0 22 Apr 2025
Process Reward Modeling with Entropy-Driven Uncertainty Lang Cao Renhong Chen Yingtian Zou Chao Peng Wu Ning ... Yansen Wang Peishuo Su Mofan Peng Zijie Chen Yitong Li 36 0 0 28 Mar 2025
InhibiDistilbert: Knowledge Distillation for a ReLU and Addition-based Transformer Tony Zhang Rickard Brännvall 43 0 0 20 Mar 2025
A Compact Model for Large-Scale Time Series Forecasting Chin-Chia Michael Yeh Xiran Fan Zhimeng Jiang Yujie Fan Huiyuan Chen ... Xin Dai Jiadong Wang Zhongfang Zhuang Liang Wang Yan Zheng AI4TS 43 0 0 28 Feb 2025
Self-Adjust Softmax Chuanyang Zheng Yihang Gao Guoxuan Chen Han Shi Jing Xiong Xiaozhe Ren Chao Huang Xin Jiang Zhiyu Li Yu Li 50 0 0 25 Feb 2025
On Space Folds of ReLU Neural Networks Michal Lewandowski Hamid Eghbalzadeh Bernhard Heinzl Raphael Pisoni Bernhard A.Moser MLT 87 1 0 17 Feb 2025
ZETA: Leveraging Z-order Curves for Efficient Top-k Attention Qiuhao Zeng Jerry Huang Peng Lu Gezheng Xu Boxing Chen Charles Ling Boyu Wang 51 1 0 24 Jan 2025
More Expressive Attention with Negative Weights Ang Lv Ruobing Xie Shuaipeng Li Jiayi Liao Xingchen Sun Zhanhui Kang Di Wang Rui Yan 42 0 0 11 Nov 2024
Rethinking Attention: Polynomial Alternatives to Softmax in Transformers Hemanth Saratchandran Jianqiao Zheng Yiping Ji Wenbo Zhang Simon Lucey 31 4 0 24 Oct 2024
HSR-Enhanced Sparse Attention Acceleration Bo Chen Yingyu Liang Zhizhou Sha Zhenmei Shi Zhao Song 95 19 0 14 Oct 2024
Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering Kazumoto Nakamura Yuji Nozawa Yu-Chieh Lin K. Nakata Youyang Ng ViT 35 1 0 07 Oct 2024
Attention layers provably solve single-location regression P. Marion Raphael Berthier Gérard Biau Claire Boyer 161 2 0 02 Oct 2024
Sampling Foundational Transformer: A Theoretical Perspective Viet Anh Nguyen Minh Lenhat Khoa Nguyen Duong Duc Hieu Dao Huu Hung Truong-Son Hy 46 0 0 11 Aug 2024
A Non-negative VAE:the Generalized Gamma Belief Network Zhibin Duan Tiansheng Wen Muyao Wang Bo Chen Mingyuan Zhou BDL 35 1 0 06 Aug 2024
Learning Neural Networks with Sparse Activations Pranjal Awasthi Nishanth Dikkala Pritish Kamath Raghu Meka 41 2 0 26 Jun 2024
Optimized Speculative Sampling for GPU Hardware Accelerators Dominik Wagner Seanie Lee Ilja Baumann Philipp Seeberger Korbinian Riedhammer Tobias Bocklet 48 3 0 16 Jun 2024
TransFusion: Contrastive Learning with Transformers Huanran Li Daniel Pimentel-Alarcón 42 0 0 27 Mar 2024
Frequency Decoupling for Motion Magnification via Multi-Level Isomorphic Architecture Fei Wang Dan Guo Kun Li Zhun Zhong Mengqing Wang 42 16 0 12 Mar 2024
ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models Chenyang Song Xu Han Zhengyan Zhang Shengding Hu Xiyu Shi ... Chen Chen Zhiyuan Liu Guanglin Li Tao Yang Maosong Sun 53 24 0 21 Feb 2024
On Provable Length and Compositional Generalization Kartik Ahuja Amin Mansouri OODD 41 7 0 07 Feb 2024
Unification of Symmetries Inside Neural Networks: Transformer, Feedforward and Neural ODE Koji Hashimoto Yuji Hirono Akiyoshi Sannai AI4CE 42 7 0 04 Feb 2024
Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models Xindi Wang Mahsa Salmani Parsa Omidi Xiangyu Ren Mehdi Rezagholizadeh A. Eshaghi LRM 34 35 0 03 Feb 2024
Improving fine-grained understanding in image-text pre-training Ioana Bica Anastasija Ilić Matthias Bauer Goker Erdogan Matko Bovsnjak ... A. Gritsenko Matthias Minderer Charles Blundell Razvan Pascanu Jovana Mitrović VLM 25 22 0 18 Jan 2024
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 32 5 0 19 Oct 2023
Approximating Two-Layer Feedforward Networks for Efficient Transformers Róbert Csordás Kazuki Irie Jürgen Schmidhuber MoE 24 18 0 16 Oct 2023
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations Tianyu Guo Wei Hu Song Mei Huan Wang Caiming Xiong Silvio Savarese Yu Bai 27 48 0 16 Oct 2023
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining Licong Lin Yu Bai Song Mei OffRL 32 43 0 12 Oct 2023
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models Iman Mirzadeh Keivan Alizadeh-Vahid Sachin Mehta C. C. D. Mundo Oncel Tuzel Golnoosh Samei Mohammad Rastegari Mehrdad Farajtabar 126 60 0 06 Oct 2023
The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers Rickard Brannvall 24 0 0 03 Oct 2023
Replacing softmax with ReLU in Vision Transformers Mitchell Wortsman Jaehoon Lee Justin Gilmer Simon Kornblith ViT 30 33 0 15 Sep 2023
What can a Single Attention Layer Learn? A Study Through the Random Features Lens Hengyu Fu Tianyu Guo Yu Bai Song Mei MLT 35 22 0 21 Jul 2023
Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis Ziyue Jiang Jinglin Liu Yi Ren Jinzheng He Zhe Ye ... Pengfei Wei Chunfeng Wang Xiang Yin Zejun Ma Zhou Zhao 40 44 0 14 Jul 2023