Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

15 August 2013

Aaron Courville

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

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Title
Towards Recognizing New Semantic Concepts in New Visual Domains Massimiliano Mancini OOD 31 0 0 16 Dec 2020
Rule Extraction from Binary Neural Networks with Convolutional Rules for Model Validation Sophie Burkhardt Jannis Brugger Nicolas Wagner Zahra Ahmadi Kristian Kersting Stefan Kramer NAI FAtt 25 8 0 15 Dec 2020
BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning Hyeryung Jang N. Skatchkovsky Osvaldo Simeone 39 17 0 15 Dec 2020
Towards unsupervised phone and word segmentation using self-supervised vector-quantized neural networks Herman Kamper Benjamin van Niekerk SSL MQ 23 35 0 14 Dec 2020
Movie Summarization via Sparse Graph Construction Pinelopi Papalampidi Frank Keller Mirella Lapata 29 32 0 14 Dec 2020
SenSeNet: Neural Keyphrase Generation with Document Structure Yichao Luo Zhengyan Li Bingning Wang Xiaoyu Xing Qi Zhang Xuanjing Huang 38 9 0 12 Dec 2020
PiRank: Scalable Learning To Rank via Differentiable Sorting Robin M. E. Swezey Aditya Grover Bruno Charron Stefano Ermon 14 28 0 12 Dec 2020
Recurrence of Optimum for Training Weight and Activation Quantized Networks Ziang Long Penghang Yin Jack Xin MQ 38 3 0 10 Dec 2020
Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure Times Omer Dahary M. Jacoby A. Bronstein 19 5 0 08 Dec 2020
Extractive Opinion Summarization in Quantized Transformer Spaces Stefanos Angelidis Reinald Kim Amplayo Yoshihiko Suhara Xiaolan Wang Mirella Lapata MQ 31 110 0 08 Dec 2020
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework Sung-En Chang Yanyu Li Mengshu Sun Runbin Shi Hayden Kwok-Hay So Xuehai Qian Yanzhi Wang Xue Lin MQ 26 83 0 08 Dec 2020
DiffPrune: Neural Network Pruning with Deterministic Approximate Binary Gates and $L_0$ Regularization Yaniv Shulman 46 3 0 07 Dec 2020
Improving Accuracy of Binary Neural Networks using Unbalanced Activation Distribution Hyungjun Kim Jihoon Park Chang-Ho Lee Jae-Joon Kim MQ 20 30 0 02 Dec 2020
Deconstructing the Structure of Sparse Neural Networks M. V. Gelder Mitchell Wortsman Kiana Ehsani 21 1 0 30 Nov 2020
Fully Quantized Image Super-Resolution Networks Hu Wang Peng Chen Bohan Zhuang Chunhua Shen SupR MQ 29 30 0 29 Nov 2020
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents E. Guiraud Jakob Drefs Jörg Lücke DRL 40 3 0 27 Nov 2020
TaylorGAN: Neighbor-Augmented Policy Update for Sample-Efficient Natural Language Generation Chun-Hsing Lin Siang-Ruei Wu Hung-yi Lee Yun-Nung Chen LLMAG 18 3 0 27 Nov 2020
Bringing AI To Edge: From Deep Learning's Perspective Di Liu Hao Kong Xiangzhong Luo Weichen Liu Ravi Subramaniam 52 116 0 25 Nov 2020
MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning Sen Lin Li Yang Zhezhi He Deliang Fan Junshan Zhang FedML AI4CE 25 5 0 25 Nov 2020
AI Discovering a Coordinate System of Chemical Elements: Dual Representation by Variational Autoencoders A. Glushkovsky DRL 19 6 0 24 Nov 2020
SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time Segmentation Thomas Verelst Tinne Tuytelaars SSeg 12 16 0 24 Nov 2020
Learning Quantized Neural Nets by Coarse Gradient Method for Non-linear Classification Ziang Long Penghang Yin Jack Xin MQ 38 3 0 23 Nov 2020
Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language Hassan Akbari Hamid Palangi Jianwei Yang Sudha Rao Asli Celikyilmaz Roland Fernandez P. Smolensky Jianfeng Gao Shih-Fu Chang 32 3 0 18 Nov 2020
Learning to Drop: Robust Graph Neural Network via Topological Denoising Dongsheng Luo Wei Cheng Wenchao Yu Bo Zong Jingchao Ni Haifeng Chen Xiang Zhang OOD 21 259 0 13 Nov 2020
Filter Pre-Pruning for Improved Fine-tuning of Quantized Deep Neural Networks Jun Nishikawa Ryoji Ikegaya MQ 23 1 0 13 Nov 2020
Efficient Neural Architecture Search for End-to-end Speech Recognition via Straight-Through Gradients Huahuan Zheng Keyu An Zhijian Ou 22 14 0 11 Nov 2020
Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration H. Dai Rishabh Singh Bo Dai Charles Sutton Dale Schuurmans 27 27 0 10 Nov 2020
Paralinguistic Privacy Protection at the Edge Ranya Aloufi Hamed Haddadi David E. Boyle 25 14 0 04 Nov 2020
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving Bob Wei Mengye Ren Wenyuan Zeng Ming Liang Binh Yang R. Urtasun 3DPC 30 43 0 02 Nov 2020
Dynamically Throttleable Neural Networks (TNN) Hengyue Liu Samyak Parajuli Jesse Hostetler S. Chai B. Bhanu 6 4 0 01 Nov 2020
A Statistical Framework for Low-bitwidth Training of Deep Neural Networks Jianfei Chen Yujie Gai Z. Yao Michael W. Mahoney Joseph E. Gonzalez MQ 20 58 0 27 Oct 2020
Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks Thomas Bird F. Kingma David Barber SyDa MQ AI4CE 26 9 0 26 Oct 2020
$P^2$ Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation Luanxuan Hou Jie Cao Yuan Zhao Haifeng Shen Jian-Bo Tang Ran He 26 2 0 26 Oct 2020
Neural Network Approximation: Three Hidden Layers Are Enough Zuowei Shen Haizhao Yang Shijun Zhang 35 115 0 25 Oct 2020
MARS: Multi-macro Architecture SRAM CIM-Based Accelerator with Co-designed Compressed Neural Networks Syuan-Hao Sie Jye-Luen Lee Yi-Ren Chen Chih-Cheng Lu C. Hsieh Meng-Fan Chang K. Tang 24 14 0 24 Oct 2020
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing Chunchuan Lyu Shay B. Cohen Ivan Titov 38 11 0 23 Oct 2020
Computationally and Statistically Efficient Truncated Regression C. Daskalakis Themis Gouleakis Christos Tzamos Manolis Zampetakis 22 29 0 22 Oct 2020
On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks Wolfgang Roth Günther Schindler Holger Fröning Franz Pernkopf BDL MQ 6 0 0 22 Oct 2020
Learning by Competition of Self-Interested Reinforcement Learning Agents Stephen Chung 12 5 0 19 Oct 2020
Learning to Reconstruct and Segment 3D Objects Bo Yang 3DPC 19 1 0 19 Oct 2020
Hierarchical Autoregressive Modeling for Neural Video Compression Ruihan Yang Yibo Yang Joseph Marino Stephan Mandt BDL VGen 112 46 0 19 Oct 2020
Self-Selective Context for Interaction Recognition Mert Kilickaya Noureldien Hussein E. Gavves A. Smeulders 28 2 0 17 Oct 2020
Adaptive Dense-to-Sparse Paradigm for Pruning Online Recommendation System with Non-Stationary Data Mao Ye Dhruv Choudhary Jiecao Yu Ellie Wen Zeliang Chen Jiyan Yang Jongsoo Park Qiang Liu A. Kejariwal 29 9 0 16 Oct 2020
Bi-GCN: Binary Graph Convolutional Network Junfu Wang Yunhong Wang Zhen Yang Liang Yang Yuanfang Guo GNN 19 54 0 15 Oct 2020
BiPointNet: Binary Neural Network for Point Clouds Haotong Qin Zhongang Cai Mingyuan Zhang Yifu Ding Haiyu Zhao Shuai Yi Xianglong Liu Hao Su 3DPC 30 50 0 12 Oct 2020
Training Binary Neural Networks through Learning with Noisy Supervision Kai Han Yunhe Wang Yixing Xu Chunjing Xu Enhua Wu Chang Xu MQ 15 55 0 10 Oct 2020
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator Max B. Paulus Chris J. Maddison Andreas Krause BDL 47 38 0 09 Oct 2020
High-Capacity Expert Binary Networks Adrian Bulat Brais Martínez Georgios Tzimiropoulos MQ 27 57 0 07 Oct 2020
Textual Supervision for Visually Grounded Spoken Language Understanding Bertrand Higy Desmond Eliott Grzegorz Chrupała 15 10 0 06 Oct 2020
Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters Weichao Lan Liang Lan MQ 14 6 0 06 Oct 2020