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title: "ICML 2021 — all accepted papers, page 2 — the most cited first"
description: "All 196 papers of ICML 2021 · page 2 of 2, the most cited first; those with our summary link to it."
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# ICML 2021: all accepted papers

196 papers · page 2 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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101. **[Refining Ice Layer Tracking through Wavelet combined Neural Networks ↗](https://www.climatechange.ai/papers/icml2021/49/paper.pdf)**Debvrat Varshney, Masoud Yari, Tashnim Chowdhury et al.*2 citations*
102. **[Reinforcement Learning for Cost-Aware Markov Decision Processes ↗](http://proceedings.mlr.press/v139/suttle21a/suttle21a.pdf)**Wesley A. Suttle, Kaiqing Zhang, Zhuoran Yang et al.*2 citations*
103. **[SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis ↗](http://proceedings.mlr.press/v139/liu21u/liu21u.pdf)**Yuhan Liu, Shiliang Sun*2 citations*
104. **[Solar PV Maps for Estimation and Forecasting of Distributed Solar Generation ↗](https://www.climatechange.ai/papers/icml2021/66/paper.pdf)**Julian de Hoog, Maneesha Perera, Kasun Bandara et al.*2 citations*
105. **[Strategically-timed State-Observation Attacks on Deep Reinforcement Learning Agents ↗](https://openreview.net/pdf?id=FSD_8Sglf_u)**You Qiaoben, Xinning Zhou, Chengyang Ying et al.*2 citations*
106. **[Systematic Analysis of Cluster Similarity Indices: How to Validate Validation Measures ↗](http://proceedings.mlr.press/v139/gosgens21a/gosgens21a.pdf)**Martijn Gösgens, Aleksei Tikhonov, Liudmila Prokhorenkova*2 citations*
107. **[A Novel Method to Solve Neural Knapsack Problems ↗](http://proceedings.mlr.press/v139/li21m/li21m.pdf)**Duanshun Li, Dong‐Eun Lee, Ali Seyedmazloom et al.*1 citation*
108. **[A Proxy Variable View of Shared Confounding ↗](http://proceedings.mlr.press/v139/wang21c/wang21c.pdf)**Zhaoran Wang, David M. Blei*1 citation*
109. **[A Receptor Skeleton for Capsule Neural Networks ↗](http://proceedings.mlr.press/v139/chen21x/chen21x.pdf)**Jintai Chen, Hongyun Yu, Chengde Qian et al.*1 citation*
110. **[Adaptive Sampling for Best Policy Identification in Markov Decision Processes ↗](http://proceedings.mlr.press/v139/marjani21a/marjani21a.pdf)**Aymen Al Marjani, Alexandre Proutière*1 citation*
111. **[Adversarial Sample Detection via Channel Pruning ↗](https://openreview.net/pdf?id=MKfq7TuRBCK)**Zuohui Chen, RenXuan Wang, Yao Lu et al.*1 citation*
112. **[Agent Forecasting at Flexible Horizons using ODE Flows ↗](https://openreview.net/pdf?id=MvjsWTCfXpA)**Alexander Radovic, Jiawei He, Janahan Ramanan et al.*1 citation*
113. **[Chebyshev Polynomial Codes: Task Entanglement-based Coding for Distributed Matrix Multiplication ↗](http://proceedings.mlr.press/v139/hong21b/hong21b.pdf)**Sangwoo Hong, Heecheol Yang, YoungSeok Yoon et al.*1 citation*
114. **[Consistent Nonparametric Methods for Network Assisted Covariate Estimation ↗](http://proceedings.mlr.press/v139/mao21a/mao21a.pdf)**Xueyu Mao, Deepayan Chakrabarti, Purnamrita Sarkar*1 citation*
115. **[Context-Aware Online Collective Inference for Templated Graphical Models ↗](http://proceedings.mlr.press/v139/dickens21a/dickens21a.pdf)**Charles Dickens, Connor Pryor, Eriq Augustine et al.*1 citation*
116. **[Exploration-Driven Representation Learning in Reinforcement Learning ↗](https://openreview.net/pdf?id=6gEYTQFfnZh)**Akram Erraqabi, Mingde Zhao, Marlos C. Machado et al.*1 citation*
117. **[Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation ↗](http://proceedings.mlr.press/v139/park21d/park21d.pdf)**Sungwoo Park, Dong Shu, Junseok Kwon*1 citation*
118. **[Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees ↗](http://proceedings.mlr.press/v139/rajagopalan21a/rajagopalan21a.pdf)**Anand Rajagopalan, Fabio Vitale, Danny Vainstein et al.*1 citation*
119. **[Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold ↗](http://proceedings.mlr.press/v139/xu21c/xu21c.pdf)**Wenkai Xu, Takeru Matsuda*1 citation*
120. **[Marginalized Stochastic Natural Gradients for Black-Box Variational Inference ↗](http://proceedings.mlr.press/v139/ji21b/ji21b.pdf)**Geng Ji, Debora Sujono, Erik B. Sudderth*1 citation*
121. **[Nonparametric Decomposition of Sparse Tensors ↗](http://proceedings.mlr.press/v139/tillinghast21a/tillinghast21a.pdf)**Conor A. Tillinghast, Shandian Zhe*1 citation*
122. **[On Estimation in Latent Variable Models ↗](http://proceedings.mlr.press/v139/fang21a/fang21a.pdf)**Guanhua Fang, Ping Li*1 citation*
123. **[On Monotonic Linear Interpolation of Neural Network Parameters ↗](http://proceedings.mlr.press/v139/lucas21a/lucas21a.pdf)**James Lucas, Juhan Bae, Michael Zhang et al.*1 citation*
124. **[On the Effectiveness of Poisoning against Unsupervised Domain Adaptation ↗](https://openreview.net/pdf?id=qArDlGXA9H)**Akshay Mehra, Bhavya Kailkhura, Pin‐Yu Chen et al.*1 citation*
125. **[Preserving the integrity of the Canadian northern ecosystems through insights provided by reinforcement learning-based Arctic fox movement models ↗](https://www.climatechange.ai/papers/icml2021/73/paper.pdf)**Catherine Villeneuve, Frédéric Dulude‐de Broin, Pierre Legagneux et al.*1 citation*
126. **[Reinforcement Learning Under Moral Uncertainty ↗](http://proceedings.mlr.press/v139/ecoffet21a/ecoffet21a.pdf)**Adrien Ecoffet, Joel Lehman*1 citation*
127. **[Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing ↗](http://proceedings.mlr.press/v139/deng21c/deng21c.pdf)**Yuan Qing Deng, Sebastien M. Lahaie, Vahab Mirrokni et al.*1 citation*
128. **[Robust Asymmetric Learning in POMDPs ↗](http://proceedings.mlr.press/v139/warrington21a/warrington21a.pdf)**Andrew Warrington, Jonathan Wilder Lavington, Adam Ścibior et al.*1 citation*
129. **[Seasonal Sea Ice Presence Forecasting of Hudson Bay using Seq2Seq Learning ↗](https://www.climatechange.ai/papers/icml2021/6/paper.pdf)**Nazanin Asadi, K. Andrea Scott, Philippe Lamontagne*1 citation*
130. **[Trees with Attention for Set Prediction Tasks ↗](http://proceedings.mlr.press/v139/hirsch21a/hirsch21a.pdf)**Roy Hirsch, Ran Gilad-Bachrach*1 citation*
131. **[Unsupervised Part Representation by Flow Capsules ↗](http://proceedings.mlr.press/v139/sabour21a/sabour21a.pdf)**Sara Sabour, Andrea Tagliasacchi, Soroosh Yazdani et al.*1 citation*
132. **[Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data ↗](http://proceedings.mlr.press/v139/park21a/park21a.pdf)**Sungwoo Park, Junseok Kwon*1 citation*
133. **[A Scalable Deterministic Global Optimization Algorithm for Clustering Problems ↗](http://proceedings.mlr.press/v139/hua21a/hua21a.pdf)**Kaixun Hua, Mingfei Shi, Yankai Cao
134. **[A Unified Bayesian Framework for Discriminative and Generative Continual Learning ↗](https://openreview.net/pdf?id=98fWAc-sFkv)**Abhishek Kumar, Sunabha Chatterjee, Piyush Rai
135. **[A case study of a school with Slovene as the language of instruction in Vermegliano/Romjan (Italy) : teaching Slovene as L1 in classes with a prevailing Italian-speaking student population ↗](https://repozitorij.ung.si/IzpisGradiva.php?id=6380&lang=slv)**Maja Melinc Mlekuž, Federico Tenca Montini
136. **[A multi-task learning approach to enhance sustainable biomolecule production in engineered microorganisms ↗](https://www.climatechange.ai/papers/icml2021/77/paper.pdf)**Erin H. Wilson, Mary E. Lidstrom, David A. C. Beck
137. **[Additive Error Guarantees for Weighted Low Rank Approximation ↗](http://proceedings.mlr.press/v139/bhaskara21a/bhaskara21a.pdf)**Aditya Bhaskara, Aravinda Kanchana Ruwanpathirana, Pruthuvi Maheshakya Wijewardena
138. **[An Integer Linear Programming Framework for Mining Constraints from Data ↗](http://proceedings.mlr.press/v139/meng21a/meng21a.pdf)**Tao Meng, Kai-Wei Chang
139. **[Approximating a Distribution Using Weight Queries ↗](http://proceedings.mlr.press/v139/barak21a/barak21a.pdf)**Nadav Barak, Sivan Sabato A
140. **[Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator ↗](http://proceedings.mlr.press/v139/li21x/li21x.pdf)**Zeng Li, Chuanlong Xie, Qinwen Wang
141. **[BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders ↗](http://proceedings.mlr.press/v139/danks21a/danks21a.pdf)**Dominic Danks, Christopher Yau
142. **[CURI: A Benchmark for Productive Concept Learning Under Uncertainty ↗](http://proceedings.mlr.press/v139/vedantam21a/vedantam21a.pdf)**Shanmukha Ramakrishna Vedantam, Arthur D. Szlam, Maximilian Nickel et al.
143. **[Challenges for BBVI with Normalizing Flows ↗](https://openreview.net/pdf?id=23WtTkwyzLJ)**Akash Kumar Dhaka, Alejandro Catalina, Manushi K. V. Welandawe et al.
144. **[Conformal Embedding Flows: Tractable Density Estimation on Learned Manifolds ↗](https://openreview.net/pdf?id=8QV-tt2Q8X)**Brendan Leigh Ross, Jesse C. Cresswell
145. **[Crystallization Learning with the Delaunay Triangulation ↗](https://dblp.uni-trier.de/db/conf/icml/icml2021.html#GuY21)**Jiaqi Gu, Guosheng Yin
146. **[Deep Signature Statistics for Likelihood-free Time-series Models ↗](https://openreview.net/pdf?id=OOlxsoRPyFL)**Joel Dyer, Patrick W Cannon, Sebastian M. Schmon
147. **[DeepPolicyTracker: Tracking Changes In Environmental Policy In The Brazilian Federal Official Gazette With Deep Learning ↗](https://www.climatechange.ai/papers/icml2021/35/paper.pdf)**Flávio Nakasato Cação, Anna Helena Reali Costa, Natalie Unterstell et al.
148. **[Defending Adversaries Using Unsupervised Feature Clustering VAE ↗](https://openreview.net/pdf?id=C0slFCG5ayh)**Cheng Zhang, Pan Gao
149. **[Discovering Weight Initializers with Meta Learning ↗](https://openreview.net/pdf?id=AwT_WWtEUj)**Dmitry Baranchuk, Artem Babenko
150. **[Disentangled Predictive Representation for Meta-Reinforcement Learning ↗](https://openreview.net/pdf?id=VbLGbcdz16-)**Sephora Madjiheurem, Laura Toni
151. **[Dueling Convex Optimization ↗](http://proceedings.mlr.press/v139/saha21b/saha21b.pdf)**Aadirupa Saha, Tomer Koren, Yishay Mansour
152. **[Enhancing Laboratory-scale Flow Imaging of Fractured Geological Media with Deep Learning Super Resolution ↗](https://www.climatechange.ai/papers/icml2021/81/paper.pdf)**Manju Pharkavi Murugesu, Timothy I. Anderson, Niccolò Dal Santo et al.
153. **[Examining the nexus of environmental policy, climate physics, and maritime shipping with deep learning models and space-borne data ↗](https://www.climatechange.ai/papers/icml2021/1/paper.pdf)**Tianle Yuan, Hua Song, Chenxi Wang et al.
154. **[Factor-analytic inverse regression for high-dimension, small-sample dimensionality reduction ↗](http://proceedings.mlr.press/v139/jha21b/jha21b.pdf)**Aditi Jha, Michael J. Morais, Jonathan W. Pillow
155. **[Finding k in Latent k- polytope ↗](http://proceedings.mlr.press/v139/bhattacharyya21a/bhattacharyya21a.pdf)**Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar
156. **[Forecasting Sea Ice Concentrations using Attention-based Ensemble LSTM ↗](https://www.climatechange.ai/papers/icml2021/50/paper.pdf)**Sahara Ali, Yiyi Huang, Xin Huang et al.
157. **[Forecasting emissions through Kaya identity using Neural ODEs ↗](https://www.climatechange.ai/papers/icml2021/82/paper.pdf)**Pierre Browne
158. **[Generalizing Adversarial Training to Composite Semantic Perturbations ↗](https://openreview.net/pdf?id=gby75OU9rcp)**Yun-Yun Tsai, Lei Hsiung, Pin‐Yu Chen et al.
159. **[Guided A* Search for Scheduling Power Generation Under Uncertainty ↗](https://www.climatechange.ai/papers/icml2021/21/paper.pdf)**Patrick de Mars, Aïdan O'Sullivan
160. **[Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers ↗](http://proceedings.mlr.press/v139/dass21a/dass21a.pdf)**Jyotikrishna Dass, Rabi Mahapatra
161. **[Improving Continuous Normalizing Flows using a Multi-Resolution Framework ↗](https://openreview.net/pdf?id=XzNsBgj68_L)**Vikram Voleti, Chris Finlay, Adam M. Oberman et al.
162. **[Improving Image-Based Characterization of Porous Media with Deep Generative Models ↗](https://www.climatechange.ai/papers/icml2021/8/paper.pdf)**Timothy I. Anderson, Kelly M. Guan, Bolivia Vega et al.
163. **[Is It Time to Redefine the Classification Task for Deep Learning Systems ↗](https://openreview.net/pdf?id=uK2CQwaV77)**Keji Han, Yun Li, Songcan Chen
164. **[Learning Optimal Auctions with Correlated Valuations from Samples ↗](http://proceedings.mlr.press/v139/yang21b/yang21b.pdf)**Yang Chunxue, Xiaohui Bei
165. **[Learning from Nested Data with Ornstein Auto-Encoders ↗](http://proceedings.mlr.press/v139/choi21a/choi21a.pdf)**Youngwon Choi, Sungdong Lee, Joong‐Ho Won
166. **[Learning to Represent State with Perceptual Schemata ↗](https://openreview.net/pdf?id=foK5cw6xJ4m)**Wilka Carvalho, Murray Shanahan
167. **[Leveraging Machine Learning for Equitable Transition of Energy Systems ↗](https://www.climatechange.ai/papers/icml2021/71/paper.pdf)**Enea Dodi, Anupama Sitaraman, Mohammad Hajiesmaili et al.
168. **[Long-term Burned Area Reconstruction through Deep Learning ↗](https://www.climatechange.ai/papers/icml2021/72/paper.pdf)**Seppe Lampe, Bertrand Le Saux, Inne Vanderkelen et al.
169. **[MASAI: Multi-agent Summative Assessment Improvement for Unsupervised Environment Design ↗](https://openreview.net/pdf?id=IsZvxyJzqBu)**Yiping Wang, Michael Brandon Haworth
170. **[Maximizing the robust margin provably overfits on noiseless data ↗](https://openreview.net/pdf?id=ujQKWaxFkrL)**Konstantin Donhauser, Alexandru Ţifrea, Michael Aerni et al.
171. **[Modeling Bird Migration by Disaggregating Population Level Observations ↗](https://www.climatechange.ai/papers/icml2021/29/paper.pdf)**Miguel Fuentes, Benjamin Mark Van Doren, Daniel R. Sheldon
172. **[Multiple steps to the precipice: Risk aversion and worry in sequential decision-making ↗](https://pure.mpg.de/pubman/faces/ViewItemOverviewPage.jsp?itemId=item_3333847)**Peter Dayan, Chris Gagne
173. **[Narrow Margins: Classification, Margins and Fat Tails ↗](http://proceedings.mlr.press/v139/buet-golfouse21a/buet-golfouse21a.pdf)**Francois Buet-Golfouse
174. **[NeuralNERE: Neural Named Entity Relationship Extraction for End-to-End Climate Change Knowledge Graph Construction ↗](https://www.climatechange.ai/papers/icml2021/76/paper.pdf)**Prakamya Mishra, Rohan Mittal
175. **[Neuro-algorithmic Policies Enable Fast Combinatorial Generalization ↗](http://proceedings.mlr.press/v139/vlastelica21a/vlastelica21a.pdf)**Marin Vlastelica, Michal Rolínek, Georg Martius
176. **[Non-Robust Feature Mapping in Deep Reinforcement Learning ↗](https://openreview.net/pdf?id=IjsRjvmFJp7)**Ezgi Korkmaz
177. **[Nonmyopic Multifidelity Acitve Search ↗](http://proceedings.mlr.press/v139/nguyen21f/nguyen21f.pdf)**Quan Nguyen, Arghavan Modiri, Roman Garnett
178. **[Objective Bound Conditional Gaussian Process for Bayesian Optimization ↗](https://dblp.uni-trier.de/db/conf/icml/icml2021.html#JeongK21)**Taewon Jeong, Heeyoung Kim
179. **[Online Selection Problems against Constrained Adversary ↗](http://proceedings.mlr.press/v139/jiang21h/jiang21h.pdf)**Zhihao Jiang, Pinyan Lu, Zhihao Gavin Tang et al.
180. **[Policy Caches with Successor Features ↗](http://proceedings.mlr.press/v139/nemecek21a/nemecek21a.pdf)**Mark William Nemecek, Ronald Parr
181. **[Ranking Architectures by Feature Extraction Capabilities ↗](https://openreview.net/forum?id=z0IHb2AUhE)**Debadeepta Dey, Shital Shah, Sébastien Bubeck
182. **[Reconstruction of Long-Term Historical Electricity Demand Data ↗](https://www.climatechange.ai/papers/icml2021/56/paper.pdf)**Reshmi Ghosh, Michael Craig, H. Scott Matthews et al.
183. **[Revealing the impact of global warming on climate modes using transparent machine learning and a suite of climate models ↗](https://www.climatechange.ai/papers/icml2021/13/paper.pdf)**Maike Sonnewald, Redouane Lguensat, Aparna Radhakrishnan et al.
184. **[Robust Recovery of Adversarial Examples ↗](https://openreview.net/pdf?id=_SITAlL8bUh)**Tejas Bana, Jatan Loya, Siddhant Ravindra Kulkarni
185. **[Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models ↗](http://proceedings.mlr.press/v139/lezama21a/lezama21a.pdf)**José Lezama, Wei Chen, Qiang Qiu
186. **[SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies ↗](http://proceedings.mlr.press/v139/fan21c/fan21c.pdf)**Jim Fan, Guanzhi Wang, De-An Huang et al.
187. **[Self-Supervised Learning on Multispectral Satellite Data for Near-Term Solar Forecasting ↗](https://www.climatechange.ai/papers/icml2021/48/paper.pdf)**Akansha Singh Bansal, Trapit Bansal, David Irwin
188. **[SparseDice: Imitation Learning for Temporally Sparse Data via Regularization ↗](https://openreview.net/pdf?id=GEd7SmSpRR0)**Alberto Rivas, Aleksandra Faust, İzzeddin Gür et al.
189. **[Spectral vertex sparsifiers and pair-wise spanners over distributed graphs ↗](http://proceedings.mlr.press/v139/zhu21c/zhu21c.pdf)**Chunjiang Zhu, Qinqing Liu, Jinbo Bi
190. **[Tangent Space Least Adaptive Clustering ↗](https://openreview.net/pdf?id=00thAjcutwh)**James Buenfil, Samson Koelle, Marina Meilă
191. **[Tilting the playing field: Dynamical loss functions for machine learning ↗](http://proceedings.mlr.press/v139/ruiz-garcia21a/ruiz-garcia21a.pdf)**Miguel Ruiz Garcia, Ge Zhang, Samuel S. Schoenholz et al.
192. **[Time-series Forecasting of Ionospheric Space Weather using Ensemble Machine Learning ↗](https://mediatum.ub.tum.de/1617918)**Randa Natraš, Mischa Schmidt
193. **[Uncovering Universal Features: How Adversarial Training Improves Adversarial Transferability ↗](https://openreview.net/forum?id=tzModtpOW7l)**Jacob M. Springer, Melanie Mitchell, Garrett T. Kenyon
194. **[Whispering to DNN: A Speech Steganographic Scheme Based on Hidden Adversarial Examples for Speech Recognition Models ↗](https://openreview.net/forum?id=4ZK_3z09ld)**Haozhe Chen, Weiming Zhang, Kejiang Chen et al.
195. **[Why be adversarial? Let's cooperate!: Cooperative Dataset Alignment via JSD Upper Bound ↗](https://openreview.net/pdf?id=_l8XYZe88K4)**Wonwoong Cho, Ziyu Gong, David I. Inouye
196. **[α-VAEs : Optimising variational inference by learning data-dependent divergence skew ↗](https://openreview.net/pdf?id=av2hdS1rLI)**J. Deasy, Tom Andrew McIver, Nikola Simidjievski et al.

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