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Adaptive Computation Modules: Granular Conditional Computation For
  Efficient Inference

Adaptive Computation Modules: Granular Conditional Computation For Efficient Inference

15 December 2023
Bartosz Wójcik
Alessio Devoto
Karol Pustelnik
Pasquale Minervini
Simone Scardapane
ArXivPDFHTML

Papers citing "Adaptive Computation Modules: Granular Conditional Computation For Efficient Inference"

9 / 9 papers shown
Title
Beyond Parameter Count: Implicit Bias in Soft Mixture of Experts
Beyond Parameter Count: Implicit Bias in Soft Mixture of Experts
Youngseog Chung
Dhruv Malik
J. Schneider
Yuanzhi Li
Aarti Singh
MoE
36
1
0
02 Sep 2024
Adaptive Layer Selection for Efficient Vision Transformer Fine-Tuning
Adaptive Layer Selection for Efficient Vision Transformer Fine-Tuning
Alessio Devoto
Federico Alvetreti
Jary Pomponi
P. Lorenzo
Pasquale Minervini
Simone Scardapane
51
2
0
16 Aug 2024
Adaptive Semantic Token Selection for AI-native Goal-oriented
  Communications
Adaptive Semantic Token Selection for AI-native Goal-oriented Communications
Alessio Devoto
Simone Petruzzi
Jary Pomponi
P. Lorenzo
Simone Scardapane
39
2
0
25 Apr 2024
Conditional computation in neural networks: principles and research
  trends
Conditional computation in neural networks: principles and research trends
Simone Scardapane
Alessandro Baiocchi
Alessio Devoto
V. Marsocci
Pasquale Minervini
Jary Pomponi
34
1
0
12 Mar 2024
From Sparse to Soft Mixtures of Experts
From Sparse to Soft Mixtures of Experts
J. Puigcerver
C. Riquelme
Basil Mustafa
N. Houlsby
MoE
121
114
0
02 Aug 2023
Mixture of Attention Heads: Selecting Attention Heads Per Token
Mixture of Attention Heads: Selecting Attention Heads Per Token
Xiaofeng Zhang
Yikang Shen
Zeyu Huang
Jie Zhou
Wenge Rong
Zhang Xiong
MoE
99
42
0
11 Oct 2022
Mixture-of-Experts with Expert Choice Routing
Mixture-of-Experts with Expert Choice Routing
Yan-Quan Zhou
Tao Lei
Han-Chu Liu
Nan Du
Yanping Huang
Vincent Zhao
Andrew M. Dai
Zhifeng Chen
Quoc V. Le
James Laudon
MoE
160
327
0
18 Feb 2022
Sparsity in Deep Learning: Pruning and growth for efficient inference
  and training in neural networks
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
141
684
0
31 Jan 2021
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,198
0
01 Sep 2014
1