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Estimating or Propagating Gradients Through Stochastic Neurons for
  Conditional Computation

Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

15 August 2013
Yoshua Bengio
Nicholas Léonard
Aaron Courville
ArXivPDFHTML

Papers citing "Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation"

50 / 1,869 papers shown
Title
ToneUnit: A Speech Discretization Approach for Tonal Language Speech
  Synthesis
ToneUnit: A Speech Discretization Approach for Tonal Language Speech Synthesis
Dehua Tao
Daxin Tan
Y. Yeung
Xiao Chen
Tan Lee
35
3
0
13 Jun 2024
Neural NeRF Compression
Neural NeRF Compression
Tuan Pham
Stephan Mandt
43
1
0
13 Jun 2024
Real-world Image Dehazing with Coherence-based Label Generator and
  Cooperative Unfolding Network
Real-world Image Dehazing with Coherence-based Label Generator and Cooperative Unfolding Network
Chengyu Fang
Chunming He
Fengyang Xiao
Yulun Zhang
Longxiang Tang
Yuelin Zhang
Kai Li
Xiu Li
49
3
0
12 Jun 2024
To be Continuous, or to be Discrete, Those are Bits of Questions
To be Continuous, or to be Discrete, Those are Bits of Questions
Yiran Wang
Masao Utiyama
53
2
0
12 Jun 2024
Image and Video Tokenization with Binary Spherical Quantization
Image and Video Tokenization with Binary Spherical Quantization
Yue Zhao
Yuanjun Xiong
Philipp Krahenbuhl
45
18
0
11 Jun 2024
Visual Representation Learning with Stochastic Frame Prediction
Visual Representation Learning with Stochastic Frame Prediction
Huiwon Jang
Dongyoung Kim
Junsu Kim
Jinwoo Shin
Pieter Abbeel
Younggyo Seo
47
2
0
11 Jun 2024
TernaryLLM: Ternarized Large Language Model
TernaryLLM: Ternarized Large Language Model
Tianqi Chen
Zhe Li
Weixiang Xu
Zeyu Zhu
Dong Li
Lu Tian
E. Barsoum
Peisong Wang
Jian Cheng
36
7
0
11 Jun 2024
Autoregressive Model Beats Diffusion: Llama for Scalable Image
  Generation
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
Peize Sun
Yi Jiang
Shoufa Chen
Shilong Zhang
Bingyue Peng
Ping Luo
Zehuan Yuan
VLM
66
229
0
10 Jun 2024
Low-Rank Quantization-Aware Training for LLMs
Low-Rank Quantization-Aware Training for LLMs
Yelysei Bondarenko
Riccardo Del Chiaro
Markus Nagel
MQ
33
10
0
10 Jun 2024
Factor Graph Optimization of Error-Correcting Codes for Belief
  Propagation Decoding
Factor Graph Optimization of Error-Correcting Codes for Belief Propagation Decoding
Yoni Choukroun
Lior Wolf
32
1
0
09 Jun 2024
Binarized Diffusion Model for Image Super-Resolution
Binarized Diffusion Model for Image Super-Resolution
Zheng Chen
Haotong Qin
Yong Guo
Xiongfei Su
Xin Yuan
Linghe Kong
Yulun Zhang
DiffM
34
9
0
09 Jun 2024
Towards Lightweight Speaker Verification via Adaptive Neural Network
  Quantization
Towards Lightweight Speaker Verification via Adaptive Neural Network Quantization
Bei Liu
Haoyu Wang
Yanmin Qian
MQ
36
1
0
08 Jun 2024
Designs for Enabling Collaboration in Human-Machine Teaming via
  Interactive and Explainable Systems
Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems
Rohan R. Paleja
Michael Munje
K. Chang
Reed Jensen
Matthew C. Gombolay
44
2
0
07 Jun 2024
Concurrent Training and Layer Pruning of Deep Neural Networks
Concurrent Training and Layer Pruning of Deep Neural Networks
Valentin Frank Ingmar Guenter
Athanasios Sideris
3DPC
45
3
0
06 Jun 2024
On the Hardness of Probabilistic Neurosymbolic Learning
On the Hardness of Probabilistic Neurosymbolic Learning
Jaron Maene
Vincent Derkinderen
Luc de Raedt
41
3
0
06 Jun 2024
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
Yang Sui
Yanyu Li
Anil Kag
Yerlan Idelbayev
Junli Cao
Ju Hu
Dhritiman Sagar
Bo Yuan
Sergey Tulyakov
Jian Ren
MQ
44
18
0
06 Jun 2024
How Far Can We Compress Instant-NGP-Based NeRF?
How Far Can We Compress Instant-NGP-Based NeRF?
Yihang Chen
Qianyi Wu
Mehrtash Harandi
Jianfei Cai
28
15
0
06 Jun 2024
CIRCUITSYNTH: Leveraging Large Language Models for Circuit Topology
  Synthesis
CIRCUITSYNTH: Leveraging Large Language Models for Circuit Topology Synthesis
Prashanth Vijayaraghavan
Luyao Shi
Ehsan Degan
Xin Zhang
40
1
0
06 Jun 2024
SpikeLM: Towards General Spike-Driven Language Modeling via Elastic
  Bi-Spiking Mechanisms
SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms
Xingrun Xing
Zheng Zhang
Ziyi Ni
Shitao Xiao
Yiming Ju
Siqi Fan
Yequan Wang
Jiajun Zhang
Guoqi Li
47
10
0
05 Jun 2024
Scalable MatMul-free Language Modeling
Scalable MatMul-free Language Modeling
Rui-Jie Zhu
Yu Zhang
Ethan Sifferman
Tyler Sheaves
Yiqiao Wang
Dustin Richmond
P. Zhou
Jason Eshraghian
31
17
0
04 Jun 2024
Capsule Enhanced Variational AutoEncoder for Underwater Image
  Reconstruction
Capsule Enhanced Variational AutoEncoder for Underwater Image Reconstruction
Rita Pucci
N. Martinel
42
0
0
03 Jun 2024
T2LM: Long-Term 3D Human Motion Generation from Multiple Sentences
T2LM: Long-Term 3D Human Motion Generation from Multiple Sentences
T. Lee
Fabien Baradel
Thomas Lucas
Kyoung Mu Lee
Grégory Rogez
44
5
0
02 Jun 2024
ContextFlow++: Generalist-Specialist Flow-based Generative Models with
  Mixed-Variable Context Encoding
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encoding
Denis A. Gudovskiy
Tomoyuki Okuno
Yohei Nakata
MoE
AI4CE
36
2
0
02 Jun 2024
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning
Hyungho Na
IL-Chul Moon
43
1
0
30 May 2024
Statistical Context Detection for Deep Lifelong Reinforcement Learning
Statistical Context Detection for Deep Lifelong Reinforcement Learning
Jeffery Dick
Saptarshi Nath
Christos Peridis
Eseoghene Ben-Iwhiwhu
Soheil Kolouri
Andrea Soltoggio
OffRL
53
0
0
29 May 2024
LP-3DGS: Learning to Prune 3D Gaussian Splatting
LP-3DGS: Learning to Prune 3D Gaussian Splatting
Zhaoliang Zhang
Tianchen Song
Yongjae Lee
Li Yang
Cheng-Fang Peng
Rama Chellappa
Deliang Fan
3DGS
42
10
0
29 May 2024
The Binary Quantized Neural Network for Dense Prediction via Specially
  Designed Upsampling and Attention
The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attention
Xingyu Ding
Li Shan
Guiqin Zhao
Meiqi Wu
Wenzhang Zhou
Wei Li
MQ
39
1
0
28 May 2024
F-3DGS: Factorized Coordinates and Representations for 3D Gaussian
  Splatting
F-3DGS: Factorized Coordinates and Representations for 3D Gaussian Splatting
Xiangyu Sun
J. Lee
Daniel Rho
Jong Hwan Ko
Usman Ali
Eunbyung Park
3DGS
34
8
0
27 May 2024
Extreme Compression of Adaptive Neural Images
Extreme Compression of Adaptive Neural Images
Leo Hoshikawa
Marcos V. Conde
Takeshi Ohashi
Atsushi Irie
48
1
0
27 May 2024
Variational Offline Multi-agent Skill Discovery
Variational Offline Multi-agent Skill Discovery
Jiayu Chen
Bhargav Ganguly
Tian-Shing Lan
OffRL
69
3
0
26 May 2024
SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large
  Language Models
SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models
Xudong Lu
Aojun Zhou
Yuhui Xu
Renrui Zhang
Peng Gao
Hongsheng Li
37
7
0
25 May 2024
MuDreamer: Learning Predictive World Models without Reconstruction
MuDreamer: Learning Predictive World Models without Reconstruction
Maxime Burchi
Radu Timofte
40
3
0
23 May 2024
PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM
  Compression
PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression
Vladimir Malinovskii
Denis Mazur
Ivan Ilin
Denis Kuznedelev
Konstantin Burlachenko
Kai Yi
Dan Alistarh
Peter Richtárik
MQ
37
19
0
23 May 2024
RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
Zhicheng Sun
Zhenhao Yang
Yang Jin
Haozhe Chi
Kun Xu
...
Hao Jiang
Di Zhang
Yang Song
Kun Gai
Yadong Mu
37
3
0
23 May 2024
Poisson Variational Autoencoder
Poisson Variational Autoencoder
Hadi Vafaii
Dekel Galor
Jacob L. Yates
DRL
45
1
0
23 May 2024
Efficient Multitask Dense Predictor via Binarization
Efficient Multitask Dense Predictor via Binarization
Yuzhang Shang
Dan Xu
Gaowen Liu
Ramana Rao Kompella
Yan Yan
MQ
AAML
35
1
0
23 May 2024
TerDiT: Ternary Diffusion Models with Transformers
TerDiT: Ternary Diffusion Models with Transformers
Xudong Lu
Aojun Zhou
Ziyi Lin
Qi Liu
Yuhui Xu
Renrui Zhang
Yafei Wen
Shuai Ren
Peng Gao
Junchi Yan
MQ
55
2
0
23 May 2024
Two Heads are Better Than One: Neural Networks Quantization with 2D
  Hilbert Curve-based Output Representation
Two Heads are Better Than One: Neural Networks Quantization with 2D Hilbert Curve-based Output Representation
Mykhail M. Uss
Ruslan Yermolenko
Olena Kolodiazhna
Oleksii Shashko
Ivan Safonov
Volodymyr Savin
Yoonjae Yeo
Seowon Ji
Jaeyun Jeong
MQ
27
0
0
22 May 2024
QGait: Toward Accurate Quantization for Gait Recognition with Binarized
  Input
QGait: Toward Accurate Quantization for Gait Recognition with Binarized Input
Senmao Tian
Haoyu Gao
Gangyi Hong
Shuyun Wang
JingJie Wang
Xin Yu
Shunli Zhang
MQ
40
1
0
22 May 2024
Dynamic Context Adaptation and Information Flow Control in Transformers:
  Introducing the Evaluator Adjuster Unit and Gated Residual Connections
Dynamic Context Adaptation and Information Flow Control in Transformers: Introducing the Evaluator Adjuster Unit and Gated Residual Connections
Sahil Rajesh Dhayalkar
24
1
0
22 May 2024
MotionGS : Compact Gaussian Splatting SLAM by Motion Filter
MotionGS : Compact Gaussian Splatting SLAM by Motion Filter
Xinli Guo
Weidong Zhang
Ruonan Liu
Peng Han
Hongtian Chen
3DGS
33
4
0
18 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 V. Chawla
Stan Z. Li
42
4
0
16 May 2024
VQDNA: Unleashing the Power of Vector Quantization for Multi-Species
  Genomic Sequence Modeling
VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling
Siyuan Li
Zedong Wang
Zicheng Liu
Di Wu
Cheng Tan
Jiangbin Zheng
Yufei Huang
Stan Z. Li
40
7
0
13 May 2024
Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly
  Segmentation
Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly Segmentation
Kevin Stangl
Marius Arvinte
Weilin Xu
Cory Cornelius
VLM
UQCV
40
0
0
13 May 2024
Controllable Image Generation With Composed Parallel Token Prediction
Controllable Image Generation With Composed Parallel Token Prediction
Jamie Stirling
Noura Al-Moubayed
33
0
0
10 May 2024
Custom Gradient Estimators are Straight-Through Estimators in Disguise
Custom Gradient Estimators are Straight-Through Estimators in Disguise
Matt Schoenbauer
Daniele Moro
Lukasz Lew
Andrew G. Howard
MQ
30
3
0
08 May 2024
Learning Linear Block Error Correction Codes
Learning Linear Block Error Correction Codes
Yoni Choukroun
Lior Wolf
31
1
0
07 May 2024
Efficient Text-driven Motion Generation via Latent Consistency Training
Efficient Text-driven Motion Generation via Latent Consistency Training
Mengxian Hu
Minghao Zhu
Xun Zhou
Qingqing Yan
Shu Li
Chengju Liu
Qi Chen
35
1
0
05 May 2024
TLINet: Differentiable Neural Network Temporal Logic Inference
TLINet: Differentiable Neural Network Temporal Logic Inference
Danyang Li
Mingyu Cai
C. Vasile
Roberto Tron
AI4CE
NAI
43
0
0
03 May 2024
Inherent Trade-Offs between Diversity and Stability in Multi-Task
  Benchmarks
Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks
Guanhua Zhang
Moritz Hardt
42
8
0
02 May 2024
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