A* Sampling

31 October 2014

Papers citing "A* Sampling"

50 / 103 papers shown

Title
Unsupervised Learning of Discourse Structures using a Tree Autoencoder Patrick Huber Giuseppe Carenini 32 4 0 17 Dec 2020
Molecular graph generation with Graph Neural Networks P. Bongini Monica Bianchini F. Scarselli GNN 30 136 0 14 Dec 2020
DE-RRD: A Knowledge Distillation Framework for Recommender System SeongKu Kang Junyoung Hwang Wonbin Kweon Hwanjo Yu 29 79 0 08 Dec 2020
Free Gap Estimates from the Exponential Mechanism, Sparse Vector, Noisy Max and Related Algorithms Zeyu Ding Yuxin Wang Yingtai Xiao Guanhong Wang Danfeng Zhang Daniel Kifer 31 6 0 02 Dec 2020
DNA: Differentiable Network-Accelerator Co-Search Yongan Zhang Y. Fu Weiwen Jiang Chaojian Li Haoran You Meng Li Vikas Chandra Yingyan Lin 28 17 0 28 Oct 2020
Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples Jaehoon Koo Diego Klabjan J. Utke 27 2 0 29 Sep 2020
Learning latent representations across multiple data domains using Lifelong VAEGAN Fei Ye A. Bors SyDa CLL 12 65 0 20 Jul 2020
AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks Yuesong Tian Li Shen Li Shen Guinan Su Zhifeng Li Wei Liu GAN 31 32 0 16 Jun 2020
Gradient Estimation with Stochastic Softmax Tricks Max B. Paulus Dami Choi Daniel Tarlow Andreas Krause Chris J. Maddison BDL 36 85 0 15 Jun 2020
Follow the Perturbed Leader: Optimism and Fast Parallel Algorithms for Smooth Minimax Games A. Suggala Praneeth Netrapalli 19 15 0 13 Jun 2020
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens Zhaohui Yang Yunhe Wang Xinghao Chen Jianyuan Guo Wei Zhang Chao Xu Chunjing Xu Dacheng Tao Chang Xu 39 17 0 29 May 2020
Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change Hongfei Xu Josef van Genabith Deyi Xiong Qiuhui Liu 14 10 0 05 May 2020
How Does Selective Mechanism Improve Self-Attention Networks? Xinwei Geng Longyue Wang Xing Wang Bing Qin Ting Liu Zhaopeng Tu AAML 39 35 0 03 May 2020
Predictive Sampling with Forecasting Autoregressive Models Auke Wiggers Emiel Hoogeboom BDL 33 16 0 23 Feb 2020
Incremental Sampling Without Replacement for Sequence Models Kensen Shi David Bieber Charles Sutton VLM SyDa BDL 24 24 0 21 Feb 2020
Estimating Gradients for Discrete Random Variables by Sampling without Replacement W. Kool H. V. Hoof Max Welling BDL 31 49 0 14 Feb 2020
Adversarial Filters of Dataset Biases Ronan Le Bras Swabha Swayamdipta Chandra Bhagavatula Rowan Zellers Matthew E. Peters Ashish Sabharwal Yejin Choi 36 220 0 10 Feb 2020
Learning Selective Sensor Fusion for States Estimation Changhao Chen Stefano Rosa Chris Xiaoxuan Lu Bing Wang Niki Trigoni Andrew Markham 22 20 0 30 Dec 2019
FasterSeg: Searching for Faster Real-time Semantic Segmentation Wuyang Chen Xinyu Gong Xianming Liu Qian Zhang Yuan Li Zhangyang Wang SSeg OOD 19 190 0 23 Dec 2019
Exploiting Operation Importance for Differentiable Neural Architecture Search Xukai Xie Yuan Zhou S. Kung 17 34 0 24 Nov 2019
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations Alexei Baevski Steffen Schneider Michael Auli SSL 19 660 0 12 Oct 2019
Searching for A Robust Neural Architecture in Four GPU Hours Xuanyi Dong Yezhou Yang 20 647 0 10 Oct 2019
Multi-sense Definition Modeling using Word Sense Decompositions Ruimin Zhu Thanapon Noraset Alisa Liu Wenxin Jiang Doug Downey 16 9 0 19 Sep 2019
Causal Modeling for Fairness in Dynamical Systems Elliot Creager David Madras T. Pitassi R. Zemel 20 67 0 18 Sep 2019
Latent Multi-Criteria Ratings for Recommendations Pan Li Alexander Tuzhilin 17 23 0 26 Jun 2019
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models Michael Oberst David Sontag CML OffRL 21 168 0 14 May 2019
Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation Weijia Xu Xing Niu Marine Carpuat 24 10 0 04 Apr 2019
Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder Masataro Asai Hiroshi Kajino 22 15 0 27 Mar 2019
Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement W. Kool H. V. Hoof Max Welling 71 215 0 14 Mar 2019
Selective Sensor Fusion for Neural Visual-Inertial Odometry Changhao Chen Stefano Rosa Yishu Miao Chris Xiaoxuan Lu Wei Wu Andrew Markham A. Trigoni 22 132 0 04 Mar 2019
Learning to Generate Questions by Learning What not to Generate Bang Liu Mingjun Zhao Di Niu Kunfeng Lai Yancheng He Haojie Wei Yu-Syuan Xu OOD 20 102 0 27 Feb 2019
Unsupervised Grounding of Plannable First-Order Logic Representation from Images Masataro Asai NAI 14 58 0 21 Feb 2019
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation Xing Niu Weijia Xu Marine Carpuat 19 17 0 02 Nov 2018
Hybrid Generative-Discriminative Models for Inverse Materials Design Phuoc Nguyen T. Tran Sunil R. Gupta Santu Rana Svetha Venkatesh AI4CE PINN 13 6 0 31 Oct 2018
Hierarchical Approaches for Reinforcement Learning in Parameterized Action Space E. Wei Drew Wicke S. Luke BDL 22 35 0 23 Oct 2018
A minimax near-optimal algorithm for adaptive rejection sampling Juliette Achdou Joseph C. Lam Alexandra Carpentier Gilles Blanchard 14 5 0 22 Oct 2018
Reparameterization Gradient for Non-differentiable Models Wonyeol Lee Hangyeol Yu Hongseok Yang DRL 25 30 0 01 Jun 2018
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation D. Park Seungjoo Yoo Hyojin Bahng Jaegul Choo Noseong Park GAN 22 24 0 07 May 2018
Sharp Attention Network via Adaptive Sampling for Person Re-identification Chen Shen Guo-Jun Qi Rongxin Jiang Zhongming Jin Hongwei Yong Yao-wu Chen Xiansheng Hua 27 38 0 07 May 2018
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation Jianbo Chen Le Song Martin J. Wainwright Michael I. Jordan MLT FAtt 29 561 0 21 Feb 2018
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning Ahmed Alaa M. Schaar 18 85 0 20 Feb 2018
Multi-Pointer Co-Attention Networks for Recommendation Yi Tay Anh Tuan Luu S. Hui 3DV 29 287 0 28 Jan 2018
Scalable Recollections for Continual Lifelong Learning Matthew D Riemer Tim Klinger Djallel Bouneffouf M. Franceschini CLL 24 62 0 17 Nov 2017
Learning to Compose Task-Specific Tree Structures Jihun Choi Kang Min Yoo Sang-goo Lee 18 189 0 10 Jul 2017
Neural Machine Translation with Gumbel-Greedy Decoding Jiatao Gu Daniel Jiwoong Im V. Li 25 35 0 22 Jun 2017
Lost Relatives of the Gumbel Trick Matej Balog Nilesh Tripuraneni Zoubin Ghahramani Adrian Weller 16 27 0 13 Jun 2017
Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary Masataro Asai A. Fukunaga 14 170 0 29 Apr 2017
Anonymized Local Privacy Joshua Joy M. Gerla 11 0 0 23 Mar 2017
LoPub: High-Dimensional Crowdsourced Data Publication with Local Differential Privacy Xuebin Ren Chia-Mu Yu Weiren Yu Shusen Yang Xinyu Yang Julie McCann Philip S. Yu 11 108 0 13 Dec 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 24 2,508 0 02 Nov 2016