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Sigmoid-Weighted Linear Units for Neural Network Function Approximation
  in Reinforcement Learning

Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning

10 February 2017
Stefan Elfwing
E. Uchibe
Kenji Doya
ArXivPDFHTML

Papers citing "Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning"

50 / 225 papers shown
Title
Read, Watch and Scream! Sound Generation from Text and Video
Read, Watch and Scream! Sound Generation from Text and Video
Yujin Jeong
Yunji Kim
Sanghyuk Chun
Jiyoung Lee
VGen
DiffM
34
12
0
08 Jul 2024
YourMT3+: Multi-instrument Music Transcription with Enhanced Transformer
  Architectures and Cross-dataset Stem Augmentation
YourMT3+: Multi-instrument Music Transcription with Enhanced Transformer Architectures and Cross-dataset Stem Augmentation
Sungkyun Chang
Emmanouil Benetos
Holger Kirchhoff
Simon Dixon
42
3
0
05 Jul 2024
Swish-T : Enhancing Swish Activation with Tanh Bias for Improved Neural
  Network Performance
Swish-T : Enhancing Swish Activation with Tanh Bias for Improved Neural Network Performance
Youngmin Seo
Jinha Kim
Unsang Park
36
0
0
01 Jul 2024
Engineering an Efficient Object Tracker for Non-Linear Motion
Engineering an Efficient Object Tracker for Non-Linear Motion
Momir Adzemovic
Predrag Tadić
Andrija Petrović
Mladen Nikolic
34
1
0
30 Jun 2024
Vision Mamba-based autonomous crack segmentation on concrete, asphalt,
  and masonry surfaces
Vision Mamba-based autonomous crack segmentation on concrete, asphalt, and masonry surfaces
Zhaohui Chen
Elyas Asadi Shamsabadi
Sheng Jiang
Luming Shen
Daniel Dias-da-Costa
Mamba
44
3
0
24 Jun 2024
Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing
  Backpropagation
Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation
Yuchen Yang
Yingdong Shi
Cheems Wang
Xiantong Zhen
Yuxuan Shi
Jun Xu
40
1
0
24 Jun 2024
Autoregressive Image Generation without Vector Quantization
Autoregressive Image Generation without Vector Quantization
Tianhong Li
Yonglong Tian
He Li
Mingyang Deng
Kaiming He
DiffM
62
184
0
17 Jun 2024
Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
Liliang Ren
Yang Liu
Yadong Lu
Yelong Shen
Chen Liang
Weizhu Chen
Mamba
77
57
0
11 Jun 2024
Towards Semantic Equivalence of Tokenization in Multimodal LLM
Towards Semantic Equivalence of Tokenization in Multimodal LLM
Shengqiong Wu
Hao Fei
Xiangtai Li
Jiayi Ji
Hanwang Zhang
Tat-Seng Chua
Shuicheng Yan
MLLM
65
32
0
07 Jun 2024
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification
Md Atik Ahamed
Qiang Cheng
Mamba
68
1
0
06 Jun 2024
MultiMax: Sparse and Multi-Modal Attention Learning
MultiMax: Sparse and Multi-Modal Attention Learning
Yuxuan Zhou
Mario Fritz
M. Keuper
45
1
0
03 Jun 2024
Semiring Activation in Neural Networks
Semiring Activation in Neural Networks
B. Smets
Peter D. Donker
Jim W. Portegies
LLMSV
21
0
0
29 May 2024
TopoLogic: An Interpretable Pipeline for Lane Topology Reasoning on
  Driving Scenes
TopoLogic: An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes
Yanping Fu
Wenbin Liao
Xinyuan Liu
Hang Xu
Yike Ma
Feng Dai
Yucheng Zhang
LRM
65
8
0
23 May 2024
3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image
  Classification
3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification
Yan He
Bing Tu
Bo Liu
Jun Li
Antonio J. Plaza
Mamba
38
24
0
21 May 2024
Learning to Predict Mutation Effects of Protein-Protein Interactions by
  Microenvironment-aware Hierarchical Prompt Learning
Learning to Predict Mutation Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning
Lirong Wu
Yijun Tian
Haitao Lin
Yufei Huang
Siyuan Li
Nitesh Chawla
Stan Z. Li
49
4
0
16 May 2024
CCDM: Continuous Conditional Diffusion Models for Image Generation
CCDM: Continuous Conditional Diffusion Models for Image Generation
Xin Ding
Member Ieee Yongwei Wang
Kao Zhang
F. I. Z. Jane Wang
DiffM
24
3
0
06 May 2024
FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and
  High-Quality Localization
FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization
Zhaopeng Gu
Bingke Zhu
Guibo Zhu
Yingying Chen
Hao Li
Ming Tang
Jinqiao Wang
42
15
0
21 Apr 2024
Test-Time Training for Depression Detection
Test-Time Training for Depression Detection
Sri Harsha Dumpala
Chandramouli Shama Sastry
Rudolf Uher
Sageev Oore
53
0
0
07 Apr 2024
Physics-Informed Diffusion Models
Physics-Informed Diffusion Models
Jan-Hendrik Bastek
WaiChing Sun
D. Kochmann
DiffM
AI4CE
55
11
0
21 Mar 2024
PAON: A New Neuron Model using Padé Approximants
PAON: A New Neuron Model using Padé Approximants
Onur Keleş
A. Murat Tekalp
48
1
0
18 Mar 2024
Ant Colony Sampling with GFlowNets for Combinatorial Optimization
Ant Colony Sampling with GFlowNets for Combinatorial Optimization
Minsu Kim
Sanghyeok Choi
Hyeon-Seob Kim
Jiwoo Son
Jinkyoo Park
Yoshua Bengio
48
24
0
11 Mar 2024
Platypose: Calibrated Zero-Shot Multi-Hypothesis 3D Human Motion
  Estimation
Platypose: Calibrated Zero-Shot Multi-Hypothesis 3D Human Motion Estimation
Paweł Antoni Pierzchlewicz
Caio da Silva
R. J. Cotton
Fabian H. Sinz
35
0
0
10 Mar 2024
Log Neural Controlled Differential Equations: The Lie Brackets Make a
  Difference
Log Neural Controlled Differential Equations: The Lie Brackets Make a Difference
Benjamin Walker
Andrew D. McLeod
Tiexin Qin
Yichuan Cheng
Haoliang Li
Terry Lyons
44
6
0
28 Feb 2024
DRSI-Net: Dual-Residual Spatial Interaction Network for Multi-Person
  Pose Estimation
DRSI-Net: Dual-Residual Spatial Interaction Network for Multi-Person Pose Estimation
Shang Wu
Bin Wang
34
2
0
26 Feb 2024
Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models
Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models
Keisuke Kamahori
Tian Tang
Yile Gu
Kan Zhu
Baris Kasikci
71
20
0
10 Feb 2024
Descanning: From Scanned to the Original Images with a Color Correction
  Diffusion Model
Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model
Junghun Cha
Ali Haider
Seoyun Yang
Hoeyeong Jin
Subin Yang
A. Uddin
Jaehyoung Kim
Soo Ye Kim
Sung-Ho Bae
DiffM
36
2
0
08 Feb 2024
ReLU$^2$ Wins: Discovering Efficient Activation Functions for Sparse
  LLMs
ReLU2^22 Wins: Discovering Efficient Activation Functions for Sparse LLMs
Zhengyan Zhang
Yixin Song
Guanghui Yu
Xu Han
Yankai Lin
Chaojun Xiao
Chenyang Song
Zhiyuan Liu
Zeyu Mi
Maosong Sun
27
31
0
06 Feb 2024
Leveraging Continuously Differentiable Activation Functions for Learning in Quantized Noisy Environments
Leveraging Continuously Differentiable Activation Functions for Learning in Quantized Noisy Environments
Vivswan Shah
Nathan Youngblood
41
2
0
04 Feb 2024
Combined Generative and Predictive Modeling for Speech Super-resolution
Combined Generative and Predictive Modeling for Speech Super-resolution
Heming Wang
Eric W. Healy
DeLiang Wang
DiffM
41
0
0
25 Jan 2024
Medusa: Simple LLM Inference Acceleration Framework with Multiple
  Decoding Heads
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
Tianle Cai
Yuhong Li
Zhengyang Geng
Hongwu Peng
Jason D. Lee
De-huai Chen
Tri Dao
60
257
0
19 Jan 2024
A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask
  Inpainting
A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting
Wouter Van Gansbeke
Bert De Brabandere
DiffM
46
11
0
18 Jan 2024
SAPT: A Shared Attention Framework for Parameter-Efficient Continual
  Learning of Large Language Models
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models
Weixiang Zhao
Shilong Wang
Yulin Hu
Yanyan Zhao
Bing Qin
Xuanyu Zhang
Qing Yang
Dongliang Xu
Wanxiang Che
KELM
CLL
39
12
0
16 Jan 2024
Unsupversied feature correlation model to predict breast abnormal
  variation maps in longitudinal mammograms
Unsupversied feature correlation model to predict breast abnormal variation maps in longitudinal mammograms
Jun Bai
Annie Jin
Madison Adams
Clifford Yang
S. Nabavi
18
0
0
28 Dec 2023
From Past to Future: Rethinking Eligibility Traces
From Past to Future: Rethinking Eligibility Traces
Dhawal Gupta
Scott M. Jordan
Shreyas Chaudhari
Bo Liu
Philip S. Thomas
Bruno Castro da Silva
27
2
0
20 Dec 2023
MossFormer2: Combining Transformer and RNN-Free Recurrent Network for
  Enhanced Time-Domain Monaural Speech Separation
MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation
Shengkui Zhao
Yukun Ma
Chongjia Ni
Chong Zhang
Hao Wang
Trung Hieu Nguyen
Kun Zhou
J. Yip
Dianwen Ng
Bin Ma
38
23
0
19 Dec 2023
Medical Image Classification Using Transfer Learning and Chaos Game
  Optimization on the Internet of Medical Things
Medical Image Classification Using Transfer Learning and Chaos Game Optimization on the Internet of Medical Things
Alhassan Mabrouk
Abdelghani Dahou
M. A. Abd Elaziz
R. D. Díaz Redondo
Mohammed Kayed
21
20
0
12 Dec 2023
ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for
  Cell Instance Segmentation
ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation
Ming Kang
Chee-Ming Ting
F. F. Ting
Raphaël C.-W. Phan
29
137
0
11 Dec 2023
Backward Learning for Goal-Conditioned Policies
Backward Learning for Goal-Conditioned Policies
Marc Höftmann
Jan Robine
Stefan Harmeling
39
1
0
08 Dec 2023
Kandinsky 3.0 Technical Report
Kandinsky 3.0 Technical Report
V.Ya. Arkhipkin
Andrei Filatov
Viacheslav Vasilev
Anastasia Maltseva
Said Azizov
Igor Pavlov
Julia Agafonova
Andrey Kuznetsov
Denis Dimitrov
DiffM
30
12
0
06 Dec 2023
DiffiT: Diffusion Vision Transformers for Image Generation
DiffiT: Diffusion Vision Transformers for Image Generation
Ali Hatamizadeh
Jiaming Song
Guilin Liu
Jan Kautz
Arash Vahdat
39
67
0
04 Dec 2023
Thermally Averaged Magnetic Anisotropy Tensors via Machine Learning
  Based on Gaussian Moments
Thermally Averaged Magnetic Anisotropy Tensors via Machine Learning Based on Gaussian Moments
Viktor Zaverkin
Julia Netz
Fabian Zills
Andreas Köhn
Johannes Kastner
AI4CE
35
16
0
03 Dec 2023
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations
Xuzhe Dang
Stefan Edelkamp
37
4
0
06 Nov 2023
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
Quentin Bouniot
I. Redko
Anton Mallasto
Charlotte Laclau
Karol Arndt
Oliver Struckmeier
Markus Heinonen
Ville Kyrki
Samuel Kaski
64
2
0
17 Oct 2023
On Time Domain Conformer Models for Monaural Speech Separation in Noisy
  Reverberant Acoustic Environments
On Time Domain Conformer Models for Monaural Speech Separation in Noisy Reverberant Acoustic Environments
William Ravenscroft
Stefan Goetze
Thomas Hain
38
7
0
09 Oct 2023
Grokking as Compression: A Nonlinear Complexity Perspective
Grokking as Compression: A Nonlinear Complexity Perspective
Ziming Liu
Ziqian Zhong
Max Tegmark
38
9
0
09 Oct 2023
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers
Stéphane d’Ascoli
Soren Becker
Alexander Mathis
Philippe Schwaller
Niki Kilbertus
32
22
0
09 Oct 2023
On the Parallel Complexity of Multilevel Monte Carlo in Stochastic
  Gradient Descent
On the Parallel Complexity of Multilevel Monte Carlo in Stochastic Gradient Descent
Kei Ishikawa
BDL
63
0
0
03 Oct 2023
Mirror Diffusion Models for Constrained and Watermarked Generation
Mirror Diffusion Models for Constrained and Watermarked Generation
Guan-Horng Liu
T. Chen
Evangelos A. Theodorou
Molei Tao
DiffM
23
22
0
02 Oct 2023
Transformer-VQ: Linear-Time Transformers via Vector Quantization
Transformer-VQ: Linear-Time Transformers via Vector Quantization
Albert Mohwald
36
15
0
28 Sep 2023
DriveDreamer: Towards Real-world-driven World Models for Autonomous
  Driving
DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving
Xiaofeng Wang
Zheng Hua Zhu
Guan Huang
Xinze Chen
Jiagang Zhu
Jiwen Lu
VGen
29
150
0
18 Sep 2023
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