Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning

30 May 2022

Papers citing "Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning"

8 / 8 papers shown

Title
BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack Yuri Kuratov Aydar Bulatov Petr Anokhin Ivan Rodkin Dmitry Sorokin Artyom Sorokin Mikhail Burtsev RALM ALM LRM ReLM ELM 49 59 0 14 Jun 2024
Investigating Recurrent Transformers with Dynamic Halt Jishnu Ray Chowdhury Cornelia Caragea 39 1 0 01 Feb 2024
Token Turing Machines Michael S. Ryoo K. Gopalakrishnan Kumara Kahatapitiya Ted Xiao Kanishka Rao Austin Stone Yao Lu Julian Ibarz Anurag Arnab 27 21 0 16 Nov 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 317 5,785 0 29 Apr 2021
Coordination Among Neural Modules Through a Shared Global Workspace Anirudh Goyal Aniket Didolkar Alex Lamb Kartikeya Badola Nan Rosemary Ke Nasim Rahaman Jonathan Binas Charles Blundell Michael C. Mozer Yoshua Bengio 154 98 0 01 Mar 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 277 3,623 0 24 Feb 2021
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 280 2,015 0 28 Jul 2020