Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular Observations

11 October 2024

Papers citing "Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular Observations"

17 / 17 papers shown

Title
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality Tri Dao Albert Gu Mamba 114 532 0 31 May 2024
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL Jesse Farebrother Jordi Orbay Q. Vuong Adrien Ali Taïga Yevgen Chebotar ... Sergey Levine Pablo Samuel Castro Aleksandra Faust Aviral Kumar Rishabh Agarwal OffRL 101 64 0 06 Mar 2024
RWKV: Reinventing RNNs for the Transformer Era Bo Peng Eric Alcaide Quentin G. Anthony Alon Albalak Samuel Arcadinho ... Qihang Zhao P. Zhou Qinghua Zhou Jian Zhu Rui-Jie Zhu 235 607 0 22 May 2023
MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors Yuang Zhang Tiancai Wang Xiangyu Zhang VOT 72 138 0 17 Nov 2022
Intuitive and Efficient Human-robot Collaboration via Real-time Approximate Bayesian Inference Javier Felip Leon D. Gonzalez-Aguirre L. Nachman 53 3 0 17 May 2022
Efficiently Modeling Long Sequences with Structured State Spaces Albert Gu Karan Goel Christopher Ré 217 1,821 0 31 Oct 2021
TrackFormer: Multi-Object Tracking with Transformers Tim Meinhardt A. Kirillov Laura Leal-Taixe Christoph Feichtenhofer VOT 274 774 0 07 Jan 2021
Deep Learning of Koopman Representation for Control Yiqiang Han Wenjian Hao Umesh Vaidya AI4CE 38 110 0 15 Oct 2020
HiPPO: Recurrent Memory with Optimal Polynomial Projections Albert Gu Tri Dao Stefano Ermon Atri Rudra Christopher Ré 126 533 0 17 Aug 2020
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention Angelos Katharopoulos Apoorv Vyas Nikolaos Pappas Franccois Fleuret 203 1,786 0 29 Jun 2020
TAO: A Large-Scale Benchmark for Tracking Any Object Achal Dave Tarasha Khurana P. Tokmakov Cordelia Schmid Deva Ramanan 73 180 0 20 May 2020
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation Jiyang Gao Chen Sun Hang Zhao Yi Shen Dragomir Anguelov Congcong Li Cordelia Schmid 128 814 0 08 May 2020
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control Nir Levine Yinlam Chow Rui Shu Ang Li Mohammad Ghavamzadeh Hung Bui 48 30 0 04 Sep 2019
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 769 3,129 0 04 Jun 2018
Robust Locally-Linear Controllable Embedding Ershad Banijamali Rui Shu Mohammad Ghavamzadeh Hung Bui A. Ghodsi BDL 54 95 0 15 Oct 2017
Dynamic Graph Convolutional Networks Franco Manessi A. Rozza M. Manzo GNN 89 376 0 20 Apr 2017
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 601 12,741 0 11 Dec 2014