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title: "NeurIPS 2022 — all accepted papers, page 22 — Elamur Research"
description: "All 2,834 papers of NeurIPS 2022 · page 22 of 29, the most cited first; those with our summary link to it."
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# NeurIPS 2022: all accepted papers

2,834 papers · page 22 of 29 · the most cited first · [← NeurIPS 2022](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/)

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2101. **[Explainability Via Causal Self-Talk ↗](https://doi.org/10.52202/068431-0556)**Nicholas Roy, Junkyung Kim, Neil C. Rabinowitz*1 citation*
2102. **[Exploration Via Planning for Information About the Optimal Trajectory ↗](https://doi.org/10.52202/068431-2085)**Viraj Mehta, Ian Char, Joseph Abbate et al.*1 citation*
2103. **[Exploring Through Random Curiosity with General Value Functions ↗](https://doi.org/10.52202/068431-1361)**Aditya A. Ramesh, Louis Kirsch, Sjoerd van Steenkiste et al.*1 citation*
2104. **[Exponential Separations in Symmetric Neural Networks ↗](https://doi.org/10.52202/068431-2401)**Aaron Zweig, Joan Bruna*1 citation*
2105. **[Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: A Polynomial Net Study ↗](https://doi.org/10.52202/068431-1956)**Yongtao Wu, Zhenyu Zhu, Fanghui Liu et al.*1 citation*
2106. **[Fair Wrapping for Black-Box Predictions ↗](https://doi.org/10.52202/068431-1571)**Alexander Soen, Ibrahim Alabdulmohsin, Sanmi Koyejo et al.*1 citation*
2107. **[Falsification Before Extrapolation in Causal Effect Estimation ↗](https://doi.org/10.52202/068431-0446)**Zeshan Hussain, Michael Oberst, Ming‐Chieh Shih et al.*1 citation*
2108. **[Fast Bayesian Coresets Via Subsampling and Quasi-Newton Refinement ↗](https://doi.org/10.52202/068431-0006)**Cian Naik, Judith Rousseau, Trevor Campbell*1 citation*
2109. **[Fast Bayesian Estimation of Point Process Intensity as Function of Covariates ↗](https://doi.org/10.52202/068431-1864)**Hideaki Kim, Taichi Asami, Hiroyuki Toda*1 citation*
2110. **[Fast Instrument Learning with Faster Rates ↗](https://doi.org/10.52202/068431-1207)**Ziyu Wang, Yuhao Zhou, Jun Zhu*1 citation*
2111. **[Fast Mixing of Stochastic Gradient Descent with Normalization and Weight Decay ↗](https://doi.org/10.52202/068431-0671)**Zhiyuan Li, Tianhao Wang, Dingli Yu*1 citation*
2112. **[Faster Deep Reinforcement Learning with Slower Online Network ↗](https://doi.org/10.52202/068431-1450)**Kavosh Asadi, Rasool Fakoor, Omer Gottesman et al.*1 citation*
2113. **[Faster Linear Algebra for Distance Matrices ↗](https://doi.org/10.52202/068431-2578)**Piotr Indyk, Sandeep Silwal*1 citation*
2114. **[FedPop: A Bayesian Approach for Personalised Federated Learning ↗](https://doi.org/10.52202/068431-0632)**Nikita Kotelevskii, Maxime Vono, Alain Durmus et al.*1 citation*
2115. **[Few-Shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion ↗](https://doi.org/10.52202/068431-0696)**Atsutoshi Kumagai, Tomoharu Iwata, Yasutoshi Ida et al.*1 citation*
2116. **[Finding and Listing Front-Door Adjustment Sets ↗](https://doi.org/10.52202/068431-2404)**Hyunchai Jeong, Jin Wen Tian, Elias Bareinboim*1 citation*
2117. **[Finite-Sample Maximum Likelihood Estimation of Location ↗](https://doi.org/10.52202/068431-2185)**Shivam Gupta, Jasper Lee, Eric Price et al.*1 citation*
2118. **[Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks ↗](https://doi.org/10.52202/068431-1424)**Tao Sun, Dongsheng Li, Bao Wang*1 citation*
2119. **[Flowification: Everything is a Normalizing Flow ↗](https://doi.org/10.52202/068431-2571)**Bálint Máté, Samuel Klein, Tobias Golling et al.*1 citation*
2120. **[FlyView: A Bio-Informed Optical Flow Truth Dataset for Visual Navigation Using Panoramic Stereo Vision ↗](https://doi.org/10.52202/068431-2038)**Alix Leroy, Graham Taylor*1 citation*
2121. **[Frank-Wolfe-Based Algorithms for Approximating Tyler's M-Estimator ↗](https://doi.org/10.52202/068431-0263)**Lior Danon, Dan Garber*1 citation*
2122. **[Fuzzy Learning Machine ↗](https://doi.org/10.52202/068431-2659)**Junbiao Cui, Jiye Liang*1 citation*
2123. **[GAGA: Deciphering Age-Path of Generalized Self-Paced Regularizer ↗](https://doi.org/10.52202/068431-2321)**Bin Gu, Diyang Li, Xiaohan Zhao et al.*1 citation*
2124. **[GAR: Generalized Autoregression for Multi-Fidelity Fusion ↗](https://doi.org/10.52202/068431-0614)**Yuxin Wang, Zheng Xing, Wei Xing*1 citation*
2125. **[Generalised Mutual Information for Discriminative Clustering ↗](https://doi.org/10.52202/068431-0244)**Louis Ohl, Pierre‐Alexandre Mattei, Charles Bouveyron et al.*1 citation*
2126. **[Generalization Bounds for Stochastic Gradient Descent Via Localized e-Covers ↗](https://doi.org/10.52202/068431-0202)**Sejun Park, Umut Simsekli, Murat A. Erdogdu*1 citation*
2127. **[Generalization Error Bounds on Deep Learning with Markov Datasets ↗](https://doi.org/10.52202/068431-1704)**Lan V. Truong*1 citation*
2128. **[Generalization for Multiclass Classification with Overparameterized Linear Models ↗](https://doi.org/10.52202/068431-1706)**Vignesh Subramanian, Rahul Arya, Anant Sahai*1 citation*
2129. **[Generalized Variational Inference in Function Spaces: Gaussian Measures Meet Bayesian Deep Learning ↗](https://doi.org/10.52202/068431-0269)**Veit Wild, Robert Hu, Dino Sejdinović*1 citation*
2130. **[Get More at Once: Alternating Sparse Training with Gradient Correction ↗](https://doi.org/10.52202/068431-2236)**Li Yang, Jian Meng, Jae-sun Seo et al.*1 citation*
2131. **[Giga-Scale Kernel Matrix-Vector Multiplication on GPU ↗](https://doi.org/10.52202/068431-0657)**Robert Hu, Siu Lun Chau, Dino Sejdinović et al.*1 citation*
2132. **[Gradient Flow Dynamics of Shallow ReLU Networks for Square Loss and Orthogonal Inputs ↗](https://doi.org/10.52202/068431-1462)**Étienne Boursier, Loucas Pillaud‐Vivien, Nicolas Flammarion*1 citation*
2133. **[Graph Neural Network Bandits ↗](https://doi.org/10.52202/068431-2501)**Parnian Kassraie, Andreas Krause, Ilija Bogunovic*1 citation*
2134. **[HSDF: Hybrid Sign and Distance Field for Modeling Surfaces with Arbitrary Topologies ↗](https://doi.org/10.52202/068431-2331)**Li Wang, Jie Yang, Weikai Chen et al.*1 citation*
2135. **[Hamiltonian Latent Operators for Content and Motion Disentanglement in Image Sequences ↗](https://doi.org/10.52202/068431-0526)**Asif Khan, AMOS J. STORKEY*1 citation*
2136. **[High-Dimensional Additive Gaussian Processes Under Monotonicity Constraints ↗](https://doi.org/10.52202/068431-0584)**Andrés F. López-Lopera, François Bachoc, Olivier Roustant*1 citation*
2137. **[House of Cans: Covert Transmission of Internal Datasets Via Capacity-Aware Neuron Steganography ↗](https://doi.org/10.52202/068431-1801)**Xudong Pan, Shengyao Zhang, Mi Zhang et al.*1 citation*
2138. **[Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights ↗](https://doi.org/10.52202/068431-2024)**Konstantin Schürholt, Boris A. Knyazev, Xavier Giró-i-Nieto et al.*1 citation*
2139. **[Identifying Good Directions to Escape the NTK Regime and Efficiently Learn Low-Degree Plus Sparse Polynomials ↗](https://doi.org/10.52202/068431-1059)**Eshaan Nichani, Yu Bai, Jason D. Lee*1 citation*
2140. **[Improved Convergence Rate of Stochastic Gradient Langevin Dynamics with Variance Reduction and Its Application to Optimization ↗](https://doi.org/10.52202/068431-1382)**Yuri Kinoshita, Taiji Suzuki*1 citation*
2141. **[Improved Imaging by Invex Regularizers with Global Optima Guarantees ↗](https://doi.org/10.52202/068431-0783)**Samuel Pinilla, Tingting Mu, Neil K. Bourne et al.*1 citation*
2142. **[Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs ↗](https://doi.org/10.52202/068431-0078)**Yeoneung Kim, Insoon Yang, Kwang-Sung Jun*1 citation*
2143. **[Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class ↗](https://doi.org/10.52202/068431-1443)**Guan Gui, Zhen Zhao, Lei Qi et al.*1 citation*
2144. **[Improving Generative Adversarial Networks Via Adversarial Learning in Latent Space ↗](https://doi.org/10.52202/068431-0645)**Yang Li, Yichuan Mo, Liangliang Shi et al.*1 citation*
2145. **[Improving Transformer with an Admixture of Attention Heads ↗](https://doi.org/10.52202/068431-2026)**Tan Nguyen, Tam Nguyen, Hai Do et al.*1 citation*
2146. **[Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces ↗](https://doi.org/10.52202/068431-0842)**Leonard Papenmeier, Luigi Nardi, Matthias Poloczek*1 citation*
2147. **[Inference and Sampling for Archimax Copulas ↗](https://doi.org/10.52202/068431-1244)**Yuting Ng, Ali Hasan, Vahid Tarokh*1 citation*
2148. **[Information-Theoretic GAN Compression with Variational Energy-Based Model ↗](https://doi.org/10.52202/068431-1326)**Minsoo Kang, Hyewon 유혜원Yoo, Eunhee Kang et al.*1 citation*
2149. **[Intrinsic Dimensionality Estimation Using Normalizing Flows ↗](https://doi.org/10.52202/068431-0888)**Christian Horvat, Jean-Pascal Pfister*1 citation*
2150. **[JAHS-Bench-201: A Foundation for Research on Joint Architecture and Hyperparameter Search ↗](https://doi.org/10.52202/068431-2811)**Archit Bansal, Danny Stoll, Maciej Janowski et al.*1 citation*
2151. **[Jump Self-Attention: Capturing High-Order Statistics in Transformers ↗](https://doi.org/10.52202/068431-1301)**Haoyi Zhou, Siyang Xiao, Shanghang Zhang et al.*1 citation*
2152. **[Kernel Interpolation with Sparse Grids ↗](https://doi.org/10.52202/068431-1663)**Mohit Yadav, Daniel R. Sheldon, Cameron Musco*1 citation*
2153. **[Kernel Similarity Matching with Hebbian Networks ↗](https://doi.org/10.52202/068431-0166)**Kyle Luther, H. Sebastian Seung*1 citation*
2154. **[LBD: Decouple Relevance and Observation for Individual-Level Unbiased Learning to Rank ↗](https://doi.org/10.52202/068431-2420)**Mouxiang Chen, Chenghao Liu, Zemin Liu et al.*1 citation*
2155. **[Large-Batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes ↗](https://doi.org/10.52202/068431-1358)**Zeyue Xue, Jianming Liang, Guanglu Song et al.*1 citation*
2156. **[Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities ↗](https://doi.org/10.52202/068431-1589)**Eduard Gorbunov, Adrien Taylor, Gauthier Gidel*1 citation*
2157. **[Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets ↗](https://doi.org/10.52202/068431-1451)**Yifei Min, Tianhao Wang, Ruitu Xu et al.*1 citation*
2158. **[Learning Contrastive Embedding in Low-Dimensional Space ↗](https://doi.org/10.52202/068431-0459)**Shuo Chen, Chen Gong, Jun Li et al.*1 citation*
2159. **[Learning Deep Input-Output Stable Dynamics ↗](https://doi.org/10.52202/068431-0594)**Ryosuke Kojima, Yuji Okamoto*1 citation*
2160. **[Learning Dense Object Descriptors from Multiple Views for Low-Shot Category Generalization ↗](https://doi.org/10.52202/068431-0913)**Stefan Stojanov, Anh Thai, Zixuan Huang et al.*1 citation*
2161. **[Learning Distinct and Representative Modes for Image Captioning ↗](https://doi.org/10.52202/068431-0688)**Qi Chen, Chaorui Deng, Qi Wu*1 citation*
2162. **[Learning Energy Networks with Generalized Fenchel-Young Losses ↗](https://doi.org/10.52202/068431-0909)**Mathieu Blondel, Felipe Llinares-López, Robert Dadashi et al.*1 citation*
2163. **[Learning General World Models in a Handful of Reward-Free Deployments ↗](https://doi.org/10.52202/068431-1945)**Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano et al.*1 citation*
2164. **[Learning Infinite-Horizon Average-Reward Restless Multi-Action Bandits Via Index Awareness ↗](https://doi.org/10.52202/068431-1302)**Guojun Xiong, Shufan Wang, Jian Li*1 citation*
2165. **[Learning Mixed Multinomial Logits with Provable Guarantees ↗](https://doi.org/10.52202/068431-0686)**Yiqun Hu, David Simchi‐Levi, Zhenzhen Yan*1 citation*
2166. **[Learning Optimal Flows for Non-Equilibrium Importance Sampling ↗](https://doi.org/10.52202/068431-0897)**Yu Cao, Eric Vanden-Eijnden*1 citation*
2167. **[Learning Predictions for Algorithms with Predictions ↗](https://doi.org/10.52202/068431-0256)**Misha Khodak, Maria-Florina Balcan, Ameet Talwalkar et al.*1 citation*
2168. **[Learning Probabilistic Models from Generator Latent Spaces with Hat EBM ↗](https://doi.org/10.52202/068431-0068)**Mitch Hill, Erik Nijkamp, Jonathan L. Mitchell et al.*1 citation*
2169. **[Learning Representations Via a Robust Behavioral Metric for Deep Reinforcement Learning ↗](https://doi.org/10.52202/068431-2656)**Jianda Chen, Sinno Jialin Pan*1 citation*
2170. **[Learning Symmetric Rules with SATNet ↗](https://doi.org/10.52202/068431-0963)**Sangho Lim, Eun-Gyeol Oh, Hongseok Yang*1 citation*
2171. **[Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales ↗](https://doi.org/10.52202/068431-0665)**Tao Liu, Dr. P. Senthil Kumar, Ruida Zhou et al.*1 citation*
2172. **[Learning the Structure of Large Networked Systems Obeying Conservation Laws ↗](https://doi.org/10.52202/068431-1064)**Anirudh Rayas, Rajasekhar Anguluri, Gautam Dasarathy*1 citation*
2173. **[Learning to Generate Inversion-Resistant Model Explanations ↗](https://doi.org/10.52202/068431-1288)**Hoyong Jeong, Suyoung Lee, Sung Ju Hwang et al.*1 citation*
2174. **[Learning with Convolution and Pooling Operations in Kernel Methods ↗](https://doi.org/10.52202/068431-2103)**Theodor Misiakiewicz, Song Mei*1 citation*
2175. **[Lethal Dose Conjecture on Data Poisoning ↗](https://doi.org/10.52202/068431-0130)**Wenxiao Wang, Alexander Levine, Soheil Feizi*1 citation*
2176. **[Leveraging Inter-Layer Dependency for Post -Training Quantization ↗](https://doi.org/10.52202/068431-0483)**Changbao Wang, Dandan Zheng, Yuanliu Liu et al.*1 citation*
2177. **[Lifting Weak Supervision to Structured Prediction ↗](https://doi.org/10.52202/068431-2723)**Harit Vishwakarma, Frédéric Sala*1 citation*
2178. **[Lipschitz Bandits with Batched Feedback ↗](https://doi.org/10.52202/068431-1442)**Yasong Feng, Zengfeng Huang, Tianyu Wang*1 citation*
2179. **[Listen to Interpret: Post-Hoc Interpretability for Audio Networks with NMF ↗](https://doi.org/10.52202/068431-2556)**Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi et al.*1 citation*
2180. **[Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions ↗](https://doi.org/10.52202/068431-0283)**Haanvid Lee, Jongmin Lee, Yunseon Choi et al.*1 citation*
2181. **[MBW: Multi-View Bootstrapping in the Wild ↗](https://doi.org/10.52202/068431-0220)**Mosam Dabhi, Chaoyang Wang, Tim Clifford et al.*1 citation*
2182. **[MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction ↗](https://doi.org/10.52202/068431-0383)**Jorge Quesada, Lakshmi Sathidevi, Ran Liu et al.*1 citation*
2183. **[Maximum Class Separation as Inductive Bias in One Matrix ↗](https://doi.org/10.52202/068431-1421)**Tejaswi Kasarla, Gertjan J. Burghouts, Max van Spengler et al.*1 citation*
2184. **[Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks ↗](https://doi.org/10.52202/068431-2327)**Indradyumna Roy, Soumen Chakrabarti, Abir De*1 citation*
2185. **[Maximum Likelihood Training of Implicit Nonlinear Diffusion Model ↗](https://doi.org/10.52202/068431-2338)**Dongjun Kim, Byeonghu Na, Se Jung Kwon et al.*1 citation*
2186. **[Measures of Information Reflect Memorization Patterns ↗](https://doi.org/10.52202/068431-1342)**Rachit Bansal, Danish Pruthi, Yonatan Belinkov*1 citation*
2187. **[Memorization and Optimization in Deep Neural Networks with Minimum Over-Parameterization ↗](https://doi.org/10.52202/068431-0554)**Simone Bombari, Mohammad Hossein Amani, Marco Mondelli*1 citation*
2188. **[Meta-Complementing the Semantics of Short Texts in Neural Topic Models ↗](https://doi.org/10.52202/068431-2139)**Delvin Ce Zhang, Hady W. Lauw*1 citation*
2189. **[Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-Based Reinforcement Learning ↗](https://doi.org/10.52202/068431-1618)**Runze Liu, Fengshuo Bai, Yali Du et al.*1 citation*
2190. **[MetaTeacher: Coordinating Multi-Model Domain Adaptation for Medical Image Classification ↗](https://doi.org/10.52202/068431-1514)**Zhenbin Wang, Mao Ye, Xiatian Zhu et al.*1 citation*
2191. **[Minimax Optimal Online Imitation Learning Via Replay Estimation ↗](https://doi.org/10.52202/068431-0513)**Gokul Swamy, Nived Rajaraman, Matt Peng et al.*1 citation*
2192. **[Model-Based Lifelong Reinforcement Learning with Bayesian Exploration ↗](https://doi.org/10.52202/068431-2345)**Haotian Fu, Shangqun Yu, Michael L. Littman et al.*1 citation*
2193. **[Module-Aware Optimization for Auxiliary Learning ↗](https://doi.org/10.52202/068431-2307)**Hong Chen, Xin Eric Wang, Yue Liu et al.*1 citation*
2194. **[Monte Carlo Tree Descent for Black-Box Optimization ↗](https://doi.org/10.52202/068431-0914)**Yaoguang Zhai, Sicun Gao*1 citation*
2195. **[MorphTE: Injecting Morphology in Tensorized Embeddings ↗](https://doi.org/10.52202/068431-2405)**Guobing Gan, Peng Zhang, Xiuqing Lu et al.*1 citation*
2196. **[Multi-Agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents ↗](https://doi.org/10.52202/068431-2786)**Qiang Li, Chung-Yiu Yau, Hoi To Wai*1 citation*
2197. **[Multi-Block Min-Max Bilevel Optimization with Applications in Multi-Task Deep AUC Maximization ↗](https://doi.org/10.52202/068431-2143)**Quanqi Hu, Yongjian Zhong, Tianbao Yang*1 citation*
2198. **[Multi-Fidelity Monte Carlo: A Pseudo-Marginal Approach ↗](https://doi.org/10.52202/068431-1574)**Diana Cai, Ryan Adams*1 citation*
2199. **[Multi-Layer State Evolution Under Random Convolutional Design ↗](https://doi.org/10.52202/068431-0514)**Max Daniels, Cédric Gerbelot, Florent Krząkała et al.*1 citation*
2200. **[Multi-Sample Training for Neural Image Compression ↗](https://doi.org/10.52202/068431-0110)**Tongda Xu, Yan Wang, Dailan He et al.*1 citation*

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