---
title: "ICML 2021 — all accepted papers with summaries and citations"
description: "All 196 papers of ICML 2021 · page 1 of 2, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2021/papers/"
---
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# ICML 2021: all accepted papers

196 papers · page 1 of 2 · the most cited first · [← ICML 2021](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2021/)

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1. **[SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks ↗](http://proceedings.mlr.press/v139/yang21o/yang21o.pdf)**Lingxiao Yang, Ru‐Yuan Zhang, Lida Li et al.*638 citations*
2. **[HAWQ-V3: Dyadic Neural Network Quantization ↗](http://proceedings.mlr.press/v139/yao21a/yao21a.pdf)**Zhewei Yao, Zhen Dong, Zhangcheng Zheng et al.*37 citations*
3. **[LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs ↗](http://proceedings.mlr.press/v139/ren21a/ren21a.pdf)**Hongyu Ren, Hanjun Dai, Bo Dai et al.*31 citations*
4. **[Representation Subspace Distance for Domain Adaptation Regression ↗](http://proceedings.mlr.press/v139/chen21u/chen21u.pdf)**Xinyang Chen, Sinan Wang, Jianmin Wang et al.*29 citations*
5. **[Ditto: Fair and Robust Federated Learning Through Personalization ↗](http://proceedings.mlr.press/v139/li21h/li21h.pdf)**Tian Li, Shengyuan Hu, Ahmad Beirami et al.*22 citations*
6. **[Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations ↗](http://proceedings.mlr.press/v139/kim21h/kim21h.pdf)**Timothy Kim, Thomas Zhihao Luo, Jonathan W. Pillow et al.*19 citations*
7. **[Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies ↗](http://proceedings.mlr.press/v139/yang21i/yang21i.pdf)**Jimmy Jimmy, Justinian P. Rosca, Karthik Narasimhan et al.*18 citations*
8. **[RAD-TTS: Parallel Flow-Based TTS with Robust Alignment Learning and Diverse Synthesis ↗](https://openreview.net/pdf?id=0NQwnnwAORi)**Kevin J. Shih, Rafael Valle, Rohan Badlani et al.*18 citations*
9. **[Synthesizer: Rethinking Self-Attention for Transformer Models ↗](http://proceedings.mlr.press/v139/tay21a/tay21a.pdf)**Yi Tay, Dara Bahri, Donald Metzler et al.*17 citations*
10. **[Dissecting Supervised Constrastive Learning ↗](http://proceedings.mlr.press/v139/graf21a/graf21a.pdf)**Florian Gräf, Christoph D. Hofer, Marc Niethammer et al.*15 citations*
11. **[How Does Loss Function Affect Generalization Performance of Deep Learning? Application to Human Age Estimation ↗](http://proceedings.mlr.press/v139/akbari21a/akbari21a.pdf)**Ali Akbari, Muhammad Awais, Manijeh Bashar et al.*14 citations*
12. **[When Does Data Augmentation Help With Membership Inference Attacks ↗](http://proceedings.mlr.press/v139/kaya21a/kaya21a.pdf)**Yiğitcan Kaya, Tudor Dumitraş*14 citations*
13. **[Modelling Behavioural Diversity for Learning in Open-Ended Games ↗](http://proceedings.mlr.press/v139/perez-nieves21a/perez-nieves21a.pdf)**Nicolas Perez-Nieves, Yaodong Yang, Oliver Slumbers et al.*13 citations*
14. **[One Pass Late Fusion Multi-view Clustering ↗](http://proceedings.mlr.press/v139/liu21l/liu21l.pdf)**Xinwang Liu, Li Liu, Qing Liao et al.*13 citations*
15. **[SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels ↗](http://proceedings.mlr.press/v139/dahiya21a/dahiya21a.pdf)**Kunal Dahiya, Ananye Agarwal, Deepak Saini et al.*13 citations*
16. **[AutoAttend: Automated Attention Representation Search ↗](http://proceedings.mlr.press/v139/guan21a/guan21a.pdf)**Chaoyu Guan, Xin Wang, Wenwu Zhu*11 citations*
17. **[Federated Learning under Arbitrary Communication Patterns ↗](http://proceedings.mlr.press/v139/avdiukhin21a/avdiukhin21a.pdf)**Dmitrii Avdiukhin, Shiva Prasad Kasiviswanathan*11 citations*
18. **[Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off ↗](https://openreview.net/pdf?id=BuD2LmNaU3a)**Rahul Rade, Seyed-Mohsen Moosavi-Dezfooli*11 citations*
19. **[PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models ↗](http://proceedings.mlr.press/v139/he21a/he21a.pdf)**Chaoyang He, Li Shen, Mahdi Soltanolkotabi et al.*11 citations*
20. **[Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research ↗](http://proceedings.mlr.press/v139/ceron21a/ceron21a.pdf)**Johan Obando-Ceron, Pablo Samuel Castro*11 citations*
21. **[Improved OOD Generalization via Adversarial Training and Pretraing ↗](http://proceedings.mlr.press/v139/yi21a/yi21a.pdf)**Mingyang Yi, Lu Hou, Jiacheng Sun et al.*10 citations*
22. **[Sharper Generalization Bounds for Clustering ↗](http://proceedings.mlr.press/v139/li21k/li21k.pdf)**Shaojie Li, Yong Liu*10 citations*
23. **[Understanding and Mitigating Accuracy Disparity in Regression ↗](http://proceedings.mlr.press/v139/chi21a/chi21a.pdf)**Jianfeng Chi, Han Zhao, Geoff Gordon et al.*10 citations*
24. **[Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference ↗](http://proceedings.mlr.press/v139/fu21c/fu21c.pdf)**Yonggan Fu, Qixuan Yu, Meng Li et al.*9 citations*
25. **[Improving Gradient Regularization using Complex-Valued Neural Networks ↗](http://proceedings.mlr.press/v139/yeats21a/yeats21a.pdf)**Eric Yeats, Yiran Chen, Hai Helen Li*9 citations*
26. **[Learning While Playing in Mean-Field Games: Convergence and Optimality ↗](http://proceedings.mlr.press/v139/xie21g/xie21g.pdf)**Qiaomin Xie, Zhuoran Yang, Zhaoran Wang et al.*9 citations*
27. **[Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface ↗](http://proceedings.mlr.press/v139/ma21b/ma21b.pdf)**Baorui Ma, Zhizhong Han, Yu-Shen Liu et al.*9 citations*
28. **[Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry ↗](http://proceedings.mlr.press/v139/asi21b/asi21b.pdf)**Hilal Asi, Vitaly Feldman, Tomer Koren et al.*9 citations*
29. **[Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling ↗](http://proceedings.mlr.press/v139/ozdenizci21a/ozdenizci21a.pdf)**Ozan Özdenizci, Robert A. Legenstein*9 citations*
30. **[Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm ↗](http://proceedings.mlr.press/v139/yoon21d/yoon21d.pdf)**Taeho Yoon, Ernest K. Ryu*8 citations*
31. **[Grey-box Extraction of Natural Language Models ↗](http://proceedings.mlr.press/v139/zanella-beguelin21a/zanella-beguelin21a.pdf)**Santiago Zanella-Béguelin, Shruti Tople, Andrew Paverd et al.*8 citations*
32. **[Learning from Noisy Labels with No Change to the Training Process ↗](http://proceedings.mlr.press/v139/zhang21k/zhang21k.pdf)**Mingyuan Zhang, Jane J. Lee, Shivani Agarwal*8 citations*
33. **[SketchEmbedNet: Learning Novel Concepts by Imitating Drawings ↗](http://proceedings.mlr.press/v139/wang21s/wang21s.pdf)**Alexander Wang, Mengye Ren, Richard S. Zemel*8 citations*
34. **[Towards Better Robust Generalization with Shift Consistency Regularization ↗](http://proceedings.mlr.press/v139/zhang21p/zhang21p.pdf)**Shufei Zhang, Qian Zhuang, Kaizhu Huang et al.*8 citations*
35. **[When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC ↗](http://proceedings.mlr.press/v139/yang21k/yang21k.pdf)**Zhiyong Yang, Qianqian Xu, Shilong Bao et al.*8 citations*
36. **[A statistical perspective on distillation ↗](http://proceedings.mlr.press/v139/menon21a/menon21a.pdf)**Aditya Krishna Menon, Ankit Singh Rawat, Sashank Jakkam Reddi et al.*7 citations*
37. **[Addressing the Exorbitant Cost of Labeling Medical Images with Active Learning ↗](https://www.microsoft.com/en-us/research/publication/addressing-the-exorbitant-cost-of-labeling-medical-images-with-active-learning/)**Saba Rahimi, Ozan Oktay, Javier Alvarez-Valle et al.*7 citations*
38. **[Adversarial Policy Learning in Two-player Competitive Games ↗](http://proceedings.mlr.press/v139/guo21b/guo21b.pdf)**Wenbo Guo, Xian Wu, Sui Huang et al.*7 citations*
39. **[Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size ↗](http://proceedings.mlr.press/v139/kosaian21a/kosaian21a.pdf)**Jack Kosaian, Amar Phanishayee, Matthai Philipose et al.*7 citations*
40. **[Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity ↗](http://proceedings.mlr.press/v139/yuan21a/yuan21a.pdf)**Zhuoning Yuan, Zhishuai Guo, Yi Xu et al.*7 citations*
41. **[Online Unrelated Machine Load Balancing with Predictions Revisited ↗](http://proceedings.mlr.press/v139/li21w/li21w.pdf)**Shi Li, Jiayi Xian*7 citations*
42. **[Parameterless Transductive Feature Re-representation for Few-Shot Learning ↗](http://proceedings.mlr.press/v139/cui21a/cui21a.pdf)**Wentao Cui, Yuhong Guo*7 citations*
43. **[Testing DNN-based Autonomous Driving Systems under Critical Environmental Conditions ↗](http://proceedings.mlr.press/v139/li21r/li21r.pdf)**Zhong Li, Minxue Pan, Tian Zhang et al.*7 citations*
44. **[From Local to Global Norm Emergence: Dissolving Self-reinforcing Substructures with Incremental Social Instruments ↗](http://proceedings.mlr.press/v139/liu21n/liu21n.pdf)**Yiwei Liu, Jiamou Liu, Kaibin Wan et al.*6 citations*
45. **[Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation ↗](http://proceedings.mlr.press/v139/kato21a/kato21a.pdf)**Masahiro Kato, Takeshi Teshima*6 citations*
46. **[Parallel Droplet Control in MEDA Biochips using Multi-Agent Reinforcement Learning ↗](http://proceedings.mlr.press/v139/liang21c/liang21c.pdf)**Tung-Che Liang, Jin Zhou, Y.C. Chan et al.*6 citations*
47. **[Street2Sat: A Machine Learning Pipeline for Generating Ground-truth Geo-referenced Labeled Datasets from Street-Level Images ↗](https://www.climatechange.ai/papers/icml2021/74/paper.pdf)**Madhava Paliyam, Catherine Nakalembe, Kevin Liu et al.*6 citations*
48. **[A Collective Learning Framework to Boost GNN Expressiveness for Node Classification ↗](http://proceedings.mlr.press/v139/hang21a/hang21a.pdf)**Mengyue Hang, Jennifer Neville, Bruno Ribeiro*5 citations*
49. **[Explainable Automated Graph Representation Learning with Hyperparameter Importance ↗](http://proceedings.mlr.press/v139/wang21f/wang21f.pdf)**Xin Wang, Shuyi Fan, Kun Kuang et al.*5 citations*
50. **[More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method ↗](https://dblp.uni-trier.de/db/conf/icml/icml2021.html#SugiyamaDT21)**Kazuya Sugiyama, Vo Nguyen Le Duy, Ichiro Takeuchi*5 citations*
51. **[Multimodal AutoML on Structured Tables with Text Fields ↗](https://openreview.net/pdf?id=OHAIVOOl7Vl)**Xingjian Shi, Jonas Mueller, Nick Erickson et al.*5 citations*
52. **[Prediction of Boreal Peatland Fires in Canada using Spatio-Temporal Methods ↗](https://www.climatechange.ai/papers/icml2021/12/paper.pdf)**Shreya Bali, Sydney Zheng, Akshina Gupta et al.*5 citations*
53. **[Reward Identification in Inverse Reinforcement Learning ↗](http://proceedings.mlr.press/v139/kim21c/kim21c.pdf)**Kuno Kim, Shivam Garg, Kirankumar Shiragur et al.*5 citations*
54. **[Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach ↗](http://proceedings.mlr.press/v139/fei21a/fei21a.pdf)**Yingjie Fei, Zhuoran Yang, Zhaoran Wang*5 citations*
55. **[Whittle Networks: A Deep Likelihood Model for Time Series ↗](http://proceedings.mlr.press/v139/yu21c/yu21c.pdf)**Zhongjie Yu, Fabrizio Ventola, Kristian Kersting*5 citations*
56. **[A human-labeled Landsat-8 contrails dataset ↗](https://www.climatechange.ai/papers/icml2021/2/paper.pdf)**Kevin McCloskey, Scott Geraedts, Christopher Van Arsdale et al.*4 citations*
57. **[Bayesian Structural Adaptation for Continual Learning ↗](http://proceedings.mlr.press/v139/kumar21a/kumar21a.pdf)**Abhishek Kumar, Sunabha Chatterjee, Piyush Rai*4 citations*
58. **[Budgeted Heterogeneous Treatment Effect Estimation ↗](http://proceedings.mlr.press/v139/qin21b/qin21b.pdf)**Tian Qin, Tian-Zuo Wang, Zhi‐Hua Zhou*4 citations*
59. **[Certified robustness against adversarial patch attacks via randomized cropping ↗](https://openreview.net/pdf?id=g4NNK4RH715)**Wan-Yi Lin, Fatemeh Sheikholeslami, Jinghao Shi et al.*4 citations*
60. **[Deep Latent Graph Matching ↗](http://proceedings.mlr.press/v139/yu21d/yu21d.pdf)**Tianshu Yu, Runzhong Wang, Junchi Yan et al.*4 citations*
61. **[DroughtED: A dataset and methodology for drought forecasting spanning multiple climate zones ↗](https://www.climatechange.ai/papers/icml2021/22/paper.pdf)**Christoph D Minixhofer, Mark Swan, Calum McMeekin et al.*4 citations*
62. **[Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits ↗](http://proceedings.mlr.press/v139/jun21a/jun21a.pdf)**Kwang-Sung Jun, Lalit Jain, Houssam Nassif et al.*4 citations*
63. **[Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning ↗](http://proceedings.mlr.press/v139/choi21b/choi21b.pdf)**Jongwook Choi, Archit Sharma, Honglak Lee et al.*4 citations*
64. **[Beyond the Pareto Efficient Frontier: Constraint Active Search for Multiobjective Experimental Design ↗](http://proceedings.mlr.press/v139/malkomes21a/malkomes21a.pdf)**Gustavo Malkomes, Bolong Cheng, Eric Lee et al.*3 citations*
65. **[ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation ↗](http://proceedings.mlr.press/v139/wang21p/wang21p.pdf)**Mengfan Wang, Boyu Lyu, Guoqiang Yu*3 citations*
66. **[Diffeomorphic Explanations with Normalizing Flows ↗](https://openreview.net/pdf?id=ZBR9EpEl6G4)**Ann-Kathrin Dombrowski, Jan E. Gerken, Pan Kessel*3 citations*
67. **[Domain Generalization using Causal Matching ↗](http://proceedings.mlr.press/v139/mahajan21b/mahajan21b.pdf)**Divyat Mahajan, Shruti Tople, Amit Kumar Sharma*3 citations*
68. **[Entropy Weighted Adversarial Training ↗](https://openreview.net/pdf?id=VLdqHdp4j1H)**Minseon Kim, Jihoon Tack, Jinwoo Shin et al.*3 citations*
69. **[Episodic Memory for Subjective-Timescale Models ↗](https://openreview.net/forum?id=30lZDhrjonR)**Alexey Zakharov, Matthew Crosby, Zafeirios Fountas*3 citations*
70. **[Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies. ↗](http://proceedings.mlr.press/v139/lukovnikov21a/lukovnikov21a.pdf)**Denis Lukovnikov, Asja Fischer*3 citations*
71. **[Improving Ultrametrics Embeddings Through Coresets ↗](http://proceedings.mlr.press/v139/cohen-addad21a/cohen-addad21a.pdf)**Vincent Cohen-Addad, Rémi de Joannis de Verclos, Guillaume Lagarde*3 citations*
72. **[Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks ↗](http://proceedings.mlr.press/v139/schwarzschild21a/schwarzschild21a.pdf)**Avi Schwarzschild, Micah Goldblum, Arjun K. Gupta et al.*3 citations*
73. **[KB-VLP: Knowledge Based Vision and Language Pretraining ↗](https://www.microsoft.com/en-us/research/publication/kb-vlp-knowledge-based-vision-and-language-pretraining-2/)**Kezhen Chen, Qiuyuan Huang, Yonatan Bisk et al.*3 citations*
74. **[Near Optimal Reward-Free Reinforcement Learning ↗](http://proceedings.mlr.press/v139/zhang21e/zhang21e.pdf)**Zihan Zhang, Simon S. Du, Xiangyang Ji*3 citations*
75. **[On the Role of Spatial Clustering Algorithms in Building Species Distribution Models from Community Science Data ↗](https://www.climatechange.ai/papers/icml2021/83/paper.pdf)**Mark F. Roth, Tyler A. Hallman, W. Douglas Robinson et al.*3 citations*
76. **[Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with √T Regret ↗](http://proceedings.mlr.press/v139/cassel21a/cassel21a.pdf)**Asaf Cassel, Tomer Koren*3 citations*
77. **[Recomposing the Reinforcement Learning Building Blocks with Hypernetworks ↗](http://proceedings.mlr.press/v139/sarafian21a/sarafian21a.pdf)**Elad Sarafian, Shai Keynan, Sarit Kraus*3 citations*
78. **[Towards Achieving Adversarial Robustness Beyond Perceptual Limits ↗](https://openreview.net/pdf?id=eFP90pzlIz)**Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan et al.*3 citations*
79. **[Towards Explaining Hyperparameter Optimization via Partial Dependence Plots ↗](https://openreview.net/pdf?id=lZr9s1x0mE)**Julia Moosbauer, Julia Herbinger, Giuseppe Casalicchio et al.*3 citations*
80. **[Towards Transferable Adversarial Perturbations with Minimum Norm ↗](https://openreview.net/pdf?id=SktdCGNd3xI)**Fangcheng Liu, Chao Zhang, Hongyang Zhang*3 citations*
81. **[12-Lead ECG Reconstruction via Koopman Operators ↗](http://proceedings.mlr.press/v139/golany21a/golany21a.pdf)**Tomer Golany, Kira Radinsky, Daniel Z. Freedman et al.*2 citations*
82. **[BERT Classification of Paris Agreement Climate Action Plans ↗](https://www.climatechange.ai/papers/icml2021/45/paper.pdf)**Tom Corringham, Daniel Spokoyny, Eric Xiao et al.*2 citations*
83. **[Climate-based ensemble machine learning model to forecast Dengue epidemics ↗](https://www.climatechange.ai/papers/icml2021/10/paper.pdf)**Rochelle Schneider, Alessandro Sebastianelli, Dario Spiller et al.*2 citations*
84. **[Decision-Making Under Selective Labels: Optimal Finite-Domain Policies and Beyond ↗](http://proceedings.mlr.press/v139/wei21a/wei21a.pdf)**Dennis Wei*2 citations*
85. **[DeepOPF-NGT: A Fast Unsupervised Learning Approach for Solving AC-OPF Problems without Ground Truth ↗](https://www.climatechange.ai/papers/icml2021/18/paper.pdf)**Wanjun Huang, Minghua Chen*2 citations*
86. **[Defense against backdoor attacks via robust covariance estimation ↗](https://dblp.uni-trier.de/db/conf/icml/icml2021.html#HayaseKSO21)**Jonathan Hayase, Weihao Kong, Raghav Somani et al.*2 citations*
87. **[Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation ↗](http://proceedings.mlr.press/v139/dance21a/dance21a.pdf)**Christopher R. Dance, Julien Pérez, Théo Cachet*2 citations*
88. **[Dichotomous Optimistic Search to Quantify Human Perception ↗](http://proceedings.mlr.press/v139/audiffren21a/audiffren21a.pdf)**Julien Audiffren*2 citations*
89. **[Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning ↗](http://proceedings.mlr.press/v139/jung21b/jung21b.pdf)**Yonghan Jung, Jin Wen Tian, Elias Bareinboim*2 citations*
90. **[Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte Carlo ↗](http://proceedings.mlr.press/v139/brofos21a/brofos21a.pdf)**James A. Brofos, Roy R. Lederman*2 citations*
91. **[Explore Visual Concept Formation for Image Classification ↗](http://proceedings.mlr.press/v139/xiong21a/xiong21a.pdf)**Shengzhou Xiong, Yihua Tan, Guoyou Wang*2 citations*
92. **[Fixed-Parameter and Approximation Algorithms for PCA with Outliers ↗](http://proceedings.mlr.press/v139/dahiya21b/dahiya21b.pdf)**Yogesh Dahiya, Fedor V. Fomin, Fahad Panolan et al.*2 citations*
93. **[Function Contrastive Learning of Transferable Meta-Representations ↗](http://proceedings.mlr.press/v139/gondal21a/gondal21a.pdf)**Muhammad Waleed Gondal, Shruti Joshi, Nasim Rahaman et al.*2 citations*
94. **[Homomorphic Sensing: Sparsity and Noise ↗](http://proceedings.mlr.press/v139/peng21a/peng21a.pdf)**Liangzu Peng, Boshi Wang, Manolis C. Tsakiris*2 citations*
95. **[Learning Granger Causal Feature Representations ↗](https://www.climatechange.ai/papers/icml2021/34/paper.pdf)**Gherardo Varando, Miguel‐Ángel Fernández‐Torres, Gustau Camps‐Valls*2 citations*
96. **[Locally Adaptive Label Smoothing Improves Predictive Churn ↗](http://proceedings.mlr.press/v139/bahri21a/bahri21a.pdf)**Dara Bahri, Heinrich Jiang*2 citations*
97. **[Oblivious Sketching-based Central Path Method for Linear Programming ↗](https://dblp.uni-trier.de/db/conf/icml/icml2021.html#0002Y21)**Zhao Song, Zheng Yu*2 citations*
98. **[On Variational Inference in Biclustering Models ↗](http://proceedings.mlr.press/v139/fang21b/fang21b.pdf)**Guanhua Fang, Ping Li*2 citations*
99. **[PID Accelerated Value Iteration Algorithm ↗](http://proceedings.mlr.press/v139/farahmand21a/farahmand21a.pdf)**Amir‐massoud Farahmand, Mohammad Ghavamzadeh*2 citations*
100. **[Projection techniques to update the truncated SVD of evolving matrices with applications ↗](http://proceedings.mlr.press/v139/kalantzis21a/kalantzis21a.pdf)**Vasileios Kalantzis, Γεώργιος Κόλλιας, Shashanka Ubaru et al.*2 citations*

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