A* Sampling

31 October 2014

Papers citing "A* Sampling"

50 / 100 papers shown

Title
Efficient Neural Clause-Selection Reinforcement Martin Suda 44 0 0 10 Mar 2025
DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models Xiaoxiao He Ligong Han Quan Dao Song Wen Minhao Bai ... Hongdong Li Junzhou Huang Faez Ahmed Akash Srivastava Dimitris Metaxas DiffM SyDa 40 5 0 10 Oct 2024
Coupling without Communication and Drafter-Invariant Speculative Decoding Majid Daliri Christopher Musco A. Suresh 54 1 0 15 Aug 2024
Informed Correctors for Discrete Diffusion Models Yixiu Zhao Jiaxin Shi Lester W. Mackey Scott W. Linderman Lester Mackey Scott Linderman 54 9 0 30 Jul 2024
Universal Exact Compression of Differentially Private Mechanisms Yanxiao Liu Wei-Ning Chen Ayfer Özgür Cheuk Ting Li 42 2 0 28 May 2024
Accelerating Relative Entropy Coding with Space Partitioning Jiajun He Gergely Flamich José Miguel Hernández-Lobato 28 1 0 20 May 2024
Some Notes on the Sample Complexity of Approximate Channel Simulation Gergely Flamich Lennie Wells 32 3 0 07 May 2024
Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning Andrei Semenov Vladimir Ivanov Aleksandr Beznosikov Alexander Gasnikov 42 6 0 04 Apr 2024
Counterfactual Influence in Markov Decision Processes M. Kazemi Jessica Lally Ekaterina Tishchenko Hana Chockler Nicola Paoletti 23 1 0 13 Feb 2024
Multimodal Action Quality Assessment Ling-an Zeng Wei-Shi Zheng 43 13 0 31 Jan 2024
Cooperative Learning for Cost-Adaptive Inference Xingli Fang Richard M. Bradford Jung-Eun Kim 40 1 0 13 Dec 2023
An Easy Rejection Sampling Baseline via Gradient Refined Proposals Edward Raff Mark McLean James Holt 20 0 0 30 Sep 2023
Bridging Discrete and Backpropagation: Straight-Through and Beyond Liyuan Liu Chengyu Dong Xiaodong Liu Bin-Xia Yu Jianfeng Gao BDL 26 20 0 17 Apr 2023
Anomaly Detection via Gumbel Noise Score Matching Ahsan Mahmood Junier Oliva Martin Styner 24 1 0 06 Apr 2023
MNL-Bandit in non-stationary environments Ayoub Foussoul Vineet Goyal Varun Gupta 34 2 0 04 Mar 2023
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation -- Extended Version David Campos Miao Zhang B. Yang Tung Kieu Chenjuan Guo Christian S. Jensen AI4TS 45 47 0 24 Feb 2023
Improved Training of Mixture-of-Experts Language GANs Yekun Chai Qiyue Yin Junge Zhang GAN 19 5 0 23 Feb 2023
Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues Jiao Ou Jinchao Zhang Yang Feng Jie Zhou 41 13 0 30 Oct 2022
Is margin all you need? An extensive empirical study of active learning on tabular data Dara Bahri Heinrich Jiang Tal Schuster Afshin Rostamizadeh LMTD 51 10 0 07 Oct 2022
A2: Efficient Automated Attacker for Boosting Adversarial Training Zhuoer Xu Guanghui Zhu Changhua Meng Shiwen Cui ZhenZhe Ying Weiqiang Wang GU Ming Yihua Huang AAML 36 13 0 07 Oct 2022
SIMPLE: A Gradient Estimator for $k$ -Subset Sampling Kareem Ahmed Zhe Zeng Mathias Niepert Mathias Niepert BDL 48 25 0 04 Oct 2022
Fair Inference for Discrete Latent Variable Models Rashidul Islam Shimei Pan James R. Foulds FaML 46 1 0 15 Sep 2022
Training Latent Variable Models with Auto-encoding Variational Bayes: A Tutorial Yang Zhi-Han BDL DRL 35 5 0 16 Aug 2022
Wavelet Score-Based Generative Modeling Florentin Guth Simon Coste Valentin De Bortoli S. Mallat DiffM 32 52 0 09 Aug 2022
Auto-regressive Image Synthesis with Integrated Quantization Fangneng Zhan Yingchen Yu Rongliang Wu Jiahui Zhang Kai Cui Changgong Zhang Shijian Lu 38 10 0 21 Jul 2022
Building Robust Ensembles via Margin Boosting Dinghuai Zhang Hongyang R. Zhang Aaron Courville Yoshua Bengio Pradeep Ravikumar A. Suggala AAML UQCV 48 15 0 07 Jun 2022
Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking Ali Vardasbi F. Sarvi Maarten de Rijke 24 10 0 28 Apr 2022
Learning Group Importance using the Differentiable Hypergeometric Distribution Thomas M. Sutter Laura Manduchi Alain Ryser Julia E. Vogt 44 7 0 03 Mar 2022
Fast-R2D2: A Pretrained Recursive Neural Network based on Pruned CKY for Grammar Induction and Text Representation Xiang Hu Haitao Mi Liang Li Gerard de Melo 31 13 0 01 Mar 2022
Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning Tristan S. W. Stevens Nishith Chennakeshava F. D. Bruijn M. Pekar Ruud J. G. van Sloun 26 4 0 24 Jan 2022
Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction Kosuke Nishida Kyosuke Nishida Itsumi Saito Sen Yoshida 38 7 0 17 Nov 2021
Counterfactual Temporal Point Processes Kimia Noorbakhsh Manuel Gomez Rodriguez 22 22 0 15 Nov 2021
RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms Yongan Zhang Anton Banta Yonggan Fu M. John A. Post M. Razavi Joseph R. Cavallaro B. Aazhang Yingyan Lin 26 4 0 04 Nov 2021
Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs Truong-Son Hy Risi Kondor 42 1 0 02 Nov 2021
Algorithms for the Communication of Samples Lucas Theis Noureldin Yosri 55 40 0 25 Oct 2021
Localization with Sampling-Argmax Jiefeng Li Tong Chen Ruiqi Shi Yujing Lou Yong-Lu Li Cewu Lu 38 19 0 17 Oct 2021
Influencing Towards Stable Multi-Agent Interactions Woodrow Z. Wang Andy Shih Annie Xie Dorsa Sadigh 38 35 0 05 Oct 2021
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning Iris A. M. Huijben W. Kool Max B. Paulus Ruud J. G. van Sloun 28 94 0 04 Oct 2021
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks Yongcheng Jing Yiding Yang Xinchao Wang Xiuming Zhang Dacheng Tao 28 38 0 27 Sep 2021
Soft Actor-Critic With Integer Actions Ting-Han Fan Yubo Wang 30 12 0 17 Sep 2021
O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed Mengquan Li Zhongzhi Yu Yongan Zhang Yonggan Fu Yingyan Lin 21 10 0 17 Aug 2021
Differentiable Subset Pruning of Transformer Heads Jiaoda Li Ryan Cotterell Mrinmaya Sachan 45 53 0 10 Aug 2021
Modular Meta-Learning for Power Control via Random Edge Graph Neural Networks I. Nikoloska Osvaldo Simeone 33 22 0 04 Aug 2021
Dynamic Resolution Network Mingjian Zhu Kai Han Enhua Wu Qiulin Zhang Ying Nie Zhenzhong Lan Yunhe Wang OOD 37 49 0 05 Jun 2021
Parallel Attention Network with Sequence Matching for Video Grounding Hao Zhang Aixin Sun Wei Jing Liangli Zhen Qiufeng Wang Rick Siow Mong Goh 18 40 0 18 May 2021
Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems Cong Hao Deming Chen 21 20 0 08 Apr 2021
A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences Farbod Taymouri M. Rosa S. Erfani 21 25 0 15 Feb 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 216 396 0 10 Feb 2021
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