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"

50 / 1,517 papers shown

Title
Learning to Reconstruct and Segment 3D Objects Bo Yang 3DPC 63 1 0 19 Oct 2020
Hierarchical Autoregressive Modeling for Neural Video Compression Ruihan Yang Yibo Yang Joseph Marino Stephan Mandt BDL VGen 185 47 0 19 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 76 9 0 16 Oct 2020
Bi-GCN: Binary Graph Convolutional Network Junfu Wang Yunhong Wang Zhen Yang Liang Yang Yuanfang Guo GNN 58 57 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 114 49 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 63 57 0 10 Oct 2020
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator Max B. Paulus Chris J. Maddison Andreas Krause BDL 104 42 0 09 Oct 2020
High-Capacity Expert Binary Networks Adrian Bulat Brais Martínez Georgios Tzimiropoulos MQ 98 59 0 07 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 207 877 0 05 Oct 2020
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks Róbert Csordás Sjoerd van Steenkiste Jürgen Schmidhuber 104 97 0 05 Oct 2020
Binary Neural Networks for Memory-Efficient and Effective Visual Place Recognition in Changing Environments Bruno Ferrarini Michael Milford Klaus D. McDonald-Maier Shoaib Ehsan MQ 57 24 0 01 Oct 2020
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks Yoonho Boo Sungho Shin Jungwook Choi Wonyong Sung MQ 83 30 0 30 Sep 2020
Rotated Binary Neural Network Mingbao Lin Rongrong Ji Zi-Han Xu Baochang Zhang Yan Wang Yongjian Wu Feiyue Huang Chia-Wen Lin MQ 118 133 0 28 Sep 2020
A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning Yichi Zhang Zhijian Ou Huixin Wang Junlan Feng RALM 105 67 0 17 Sep 2020
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework Sung-En Chang Yanyu Li Mengshu Sun Weiwen Jiang Runbin Shi Xue Lin Yanzhi Wang MQ 56 7 0 16 Sep 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 231 630 0 10 Sep 2020
QuantNet: Learning to Quantize by Learning within Fully Differentiable Framework Junjie Liu Dongchao Wen Deyu Wang Wei Tao Tse-Wei Chen Kinya Osa Masami Kato MQ 50 3 0 10 Sep 2020
Unsupervised Part Discovery by Unsupervised Disentanglement Sandro Braun Patrick Esser Bjorn Ommer OCL 51 4 0 09 Sep 2020
FleXOR: Trainable Fractional Quantization Dongsoo Lee S. Kwon Byeongwook Kim Yongkweon Jeon Baeseong Park Jeongin Yun MQ 54 13 0 09 Sep 2020
Alternating Direction Method of Multipliers for Quantization Tianjian Huang Prajwal Singhania Maziar Sanjabi Pabitra Mitra Meisam Razaviyayn MQ 80 11 0 08 Sep 2020
Understanding the wiring evolution in differentiable neural architecture search Sirui Xie Shou-Yong Hu Xinjiang Wang Chunxiao Liu Jianping Shi Xunying Liu Dahua Lin 78 9 0 02 Sep 2020
Reinforcement Learning with Feedback-modulated TD-STDP Stephen Chung R. Kozma 30 3 0 29 Aug 2020
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization Prithvijit Chattopadhyay Yogesh Balaji Judy Hoffman OOD 105 210 0 28 Aug 2020
Measuring the Biases and Effectiveness of Content-Style Disentanglement Xiao Liu Spyridon Thermos Gabriele Valvano A. Chartsias Alison Q. OÑeil Sotirios A. Tsaftaris CoGe DRL 103 18 0 27 Aug 2020
Lossy Image Compression with Normalizing Flows Leonhard Helminger Abdelaziz Djelouah Markus Gross Christopher Schroers 56 48 0 24 Aug 2020
One Weight Bitwidth to Rule Them All Ting-Wu Chin P. Chuang Vikas Chandra Diana Marculescu MQ 67 25 0 22 Aug 2020
Biased Mixtures Of Experts: Enabling Computer Vision Inference Under Data Transfer Limitations Alhabib Abbas Y. Andreopoulos MoE 108 18 0 21 Aug 2020
Differentiable TAN Structure Learning for Bayesian Network Classifiers Wolfgang Roth Franz Pernkopf BDL 26 2 0 21 Aug 2020
Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning Justin Engelmann Stefan Lessmann 83 232 0 20 Aug 2020
Intelligence plays dice: Stochasticity is essential for machine learning M. Sabuncu 135 6 0 17 Aug 2020
Unsupervised Acoustic Unit Representation Learning for Voice Conversion using WaveNet Auto-encoders Mingjie Chen Thomas Hain SSL DRL 54 15 0 16 Aug 2020
Cascaded channel pruning using hierarchical self-distillation Roy Miles K. Mikolajczyk 71 7 0 16 Aug 2020
Towards Modality Transferable Visual Information Representation with Optimal Model Compression Rongqun Lin Linwei Zhu Shiqi Wang Sam Kwong 65 2 0 13 Aug 2020
FATNN: Fast and Accurate Ternary Neural Networks Peng Chen Bohan Zhuang Chunhua Shen MQ 50 15 0 12 Aug 2020
Degree-Quant: Quantization-Aware Training for Graph Neural Networks Shyam A. Tailor Javier Fernandez-Marques Nicholas D. Lane GNN MQ 82 145 0 11 Aug 2020
NASB: Neural Architecture Search for Binary Convolutional Neural Networks Baozhou Zhu Zaid Al-Ars P. Hofstee MQ 67 23 0 08 Aug 2020
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition Yue Meng Chung-Ching Lin Yikang Shen P. Sattigeri Leonid Karlinsky A. Oliva Kate Saenko Rogerio Feris 97 146 0 31 Jul 2020
Neural Language Generation: Formulation, Methods, and Evaluation Cristina Garbacea Qiaozhu Mei 160 30 0 31 Jul 2020
Foveation for Segmentation of Ultra-High Resolution Images Chen Jin Ryutaro Tanno Moucheng Xu T. Mertzanidou Daniel C. Alexander AI4TS 50 4 0 29 Jul 2020
Privacy-preserving Voice Analysis via Disentangled Representations Ranya Aloufi Hamed Haddadi David E. Boyle DRL 130 58 0 29 Jul 2020
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data Yuexiang Xie Zhen Wang Yaliang Li Bolin Ding Nezihe Merve Gürel Ce Zhang Minlie Huang Wei Lin Jingren Zhou 106 28 0 29 Jul 2020
Extending LOUPE for K-space Under-sampling Pattern Optimization in Multi-coil MRI Jinwei Zhang Hang Zhang Alan Q. Wang Qihao Zhang M. Sabuncu P. Spincemaille Thanh D. Nguyen Yi Wang 108 35 0 28 Jul 2020
T-BFA: Targeted Bit-Flip Adversarial Weight Attack Adnan Siraj Rakin Zhezhi He Jingtao Li Fan Yao C. Chakrabarti Deliang Fan AAML 71 13 0 24 Jul 2020
Wasserstein Routed Capsule Networks Alexander Fuchs Franz Pernkopf 112 7 0 22 Jul 2020
Differentiable Joint Pruning and Quantization for Hardware Efficiency Ying Wang Yadong Lu Tijmen Blankevoort MQ 95 72 0 20 Jul 2020
HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs H. Habi Roy H. Jennings Arnon Netzer MQ 72 66 0 20 Jul 2020
AQD: Towards Accurate Fully-Quantized Object Detection Peng Chen Jing Liu Bohan Zhuang Mingkui Tan Chunhua Shen MQ 95 9 0 14 Jul 2020
An Integer Programming Approach to Deep Neural Networks with Binary Activation Functions B. Bah Jannis Kurtz 52 8 0 07 Jul 2020
FracBits: Mixed Precision Quantization via Fractional Bit-Widths Linjie Yang Qing Jin MQ 101 74 0 04 Jul 2020
Unsupervised Semantic Hashing with Pairwise Reconstruction Casper Hansen Christian B. Hansen J. Simonsen Stephen Alstrup Christina Lioma 140 18 0 01 Jul 2020