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Learning to (Learn at Test Time): RNNs with Expressive Hidden States

Learning to (Learn at Test Time): RNNs with Expressive Hidden States

5 July 2024
Yu Sun
Xinhao Li
Karan Dalal
Jiarui Xu
Arjun Vikram
Genghan Zhang
Yann Dubois
Xinlei Chen
Xiaolong Wang
Sanmi Koyejo
Tatsunori Hashimoto
Carlos Guestrin
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Papers citing "Learning to (Learn at Test Time): RNNs with Expressive Hidden States"

16 / 66 papers shown
Title
Test Time Learning for Time Series Forecasting
Test Time Learning for Time Series Forecasting
Panayiotis Christou
Shichu Chen
Xupeng Chen
Parijat Dube
AI4TS
28
0
0
21 Sep 2024
Towards LifeSpan Cognitive Systems
Towards LifeSpan Cognitive Systems
Yu Wang
Chi Han
Tongtong Wu
Xiaoxin He
Wangchunshu Zhou
...
Zexue He
Wei Wang
Gholamreza Haffari
Heng Ji
Julian McAuley
KELM
CLL
83
1
0
20 Sep 2024
TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical
  Image Segmentation
TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation
Rong-Er Zhou
Zhengqing Yuan
Zhiling Yan
Weixiang Sun
Kai Zhang
Yiwei Li
Yanfang Ye
Xiang Li
Lifang He
Lichao Sun
ViT
MedIm
20
0
0
17 Sep 2024
Synthetic continued pretraining
Synthetic continued pretraining
Zitong Yang
Neil Band
Shuangping Li
Emmanuel Candès
Tatsunori Hashimoto
CLL
SyDa
36
11
0
11 Sep 2024
Gated Slot Attention for Efficient Linear-Time Sequence Modeling
Gated Slot Attention for Efficient Linear-Time Sequence Modeling
Yu Zhang
Songlin Yang
Ruijie Zhu
Yue Zhang
Leyang Cui
...
Freda Shi
Bailin Wang
Wei Bi
P. Zhou
Guohong Fu
60
15
0
11 Sep 2024
PackMamba: Efficient Processing of Variable-Length Sequences in Mamba
  training
PackMamba: Efficient Processing of Variable-Length Sequences in Mamba training
Haoran Xu
Ziqian Liu
Rong Fu
Zhongling Su
Zerui Wang
Zheng Cai
Zhilin Pei
Xingcheng Zhang
Mamba
27
0
0
07 Aug 2024
LION: Linear Group RNN for 3D Object Detection in Point Clouds
LION: Linear Group RNN for 3D Object Detection in Point Clouds
Zhe Liu
Jinghua Hou
Xinyu Wang
Xiaoqing Ye
Jingdong Wang
Hengshuang Zhao
Xiang Bai
3DPC
53
11
0
25 Jul 2024
Knowledge Mechanisms in Large Language Models: A Survey and Perspective
Knowledge Mechanisms in Large Language Models: A Survey and Perspective
Meng Wang
Yunzhi Yao
Ziwen Xu
Shuofei Qiao
Shumin Deng
...
Yong-jia Jiang
Pengjun Xie
Fei Huang
Huajun Chen
Ningyu Zhang
47
27
0
22 Jul 2024
Longhorn: State Space Models are Amortized Online Learners
Longhorn: State Space Models are Amortized Online Learners
Bo Liu
Rui Wang
Lemeng Wu
Yihao Feng
Peter Stone
Qian Liu
46
10
0
19 Jul 2024
HGRN2: Gated Linear RNNs with State Expansion
HGRN2: Gated Linear RNNs with State Expansion
Zhen Qin
Songlin Yang
Weixuan Sun
Xuyang Shen
Dong Li
Weigao Sun
Yiran Zhong
LRM
34
45
0
11 Apr 2024
Test-Time Training on Video Streams
Test-Time Training on Video Streams
Renhao Wang
Yu Sun
Yossi Gandelsman
Xinlei Chen
Alexei A. Efros
Alexei A. Efros
Xiaolong Wang
TTA
ViT
3DGS
24
16
0
11 Jul 2023
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
245
1,977
0
31 Dec 2020
Meta Learning Backpropagation And Improving It
Meta Learning Backpropagation And Improving It
Louis Kirsch
Jürgen Schmidhuber
40
56
0
29 Dec 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
238
3,359
0
09 Mar 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
223
4,424
0
23 Jan 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,568
0
09 Mar 2017
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