NeurIPS 2022: all accepted papers

2,834 papers · page 12 of 29 · the most cited first · ← NeurIPS 2022

Increasing Confidence in Adversarial Robustness Evaluations ↗R. Zimmermann, Wieland Brendel, Florian Tramèr et al.6 citations
Inductive Logical Query Answering in Knowledge Graphs ↗Michael Galkin, Zhaocheng Zhu, Hongyu Ren et al.6 citations
Instance-Dependent Near-Optimal Policy Identification in Linear MDPs Via Online Experiment Design ↗Andrew Wagenmaker, Kevin Jamieson6 citations
Inverse Design for Fluid-Structure Interactions Using Graph Network Simulators ↗Kelsey R. Allen, Tatiana López-Guevara, Kimberly Stachenfeld et al.6 citations
Invertible Monotone Operators for Normalizing Flows ↗Byeongkeun Ahn, Chiyoon Kim, Youngjoon Hong et al.6 citations
Iterative Structural Inference of Directed Graphs ↗Aoran Wang, Jun Pang6 citations
Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation ↗Xiang Gu, Yucheng Yang, Wei Zeng et al.6 citations
Knowledge Distillation: Bad Models Can Be Good Role Models ↗Gal Kaplun, Eran Malach, Preetum Nakkiran et al.6 citations
Large-Scale Optimization of Partial AUC in a Range of False Positive Rates ↗Yao Yao, Qihang Lin, Tianbao Yang6 citations
Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training ↗Geng Yuan, Yanyu Li, Sheng Li et al.6 citations
Learning Interface Conditions in Domain Decomposition Solvers ↗Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman et al.6 citations
Lifelong Neural Predictive Coding: Learning Cumulatively Online Without Forgetting ↗Alexander G. Ororbia, Ankur Mali, C Lee Giles et al.6 citations
Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression ↗Xinmeng Huang, Yiming Chen, Wotao Yin et al.6 citations
MGNNI: Multiscale Graph Neural Networks with Implicit Layers ↗Juncheng Liu, Bryan Hooi, Kenji Kawaguchi et al.6 citations
Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels ↗Mohamad Amin Mohamadi, Wonho Bae, Danica J. Sutherland6 citations
Meta-Learning Dynamics Forecasting Using Task Inference ↗Rui Wang, Robin Walters, Rose Yu6 citations
Mining Unseen Classes Via Regional Objectness: A Simple Baseline for Incremental Segmentation ↗Zekang Zhang, Guangyu Gao, Zhiyuan Fang et al.6 citations
Multi-View Subspace Clustering on Topological Manifold ↗Shudong Huang, Hongjie Wu, Yazhou Ren et al.6 citations
Neural Collapse with Normalized Features: A Geometric Analysis Over the Riemannian Manifold ↗Can Yaras, Peng Wang, Zhihui Zhu et al.6 citations
Neural Stochastic Control ↗Jingdong Zhang, Qunxi Zhu, Wei Lin6 citations
Neural-Symbolic Entangled Framework for Complex Query Answering ↗Zezhong Xu, Wen Zhang, Peng Ye et al.6 citations
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma ↗Gautam Kamath, Argyris Mouzakis, Vikrant Singhal6 citations
On Sample Optimality in Personalized Collaborative and Federated Learning ↗Mathieu Even, Laurent Massoulié, Kevin Scaman6 citations
On the Limitations of Stochastic Pre-Processing Defenses ↗Yue Gao, I Shumailov, Kassem Fawaz et al.6 citations
On the SDEs and Scaling Rules for Adaptive Gradient Algorithms ↗Sadhika Malladi, Kaifeng Lyu, Abhishek Panigrahi et al.6 citations
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach ↗Dennis Wei, Rahul Nair, Amit Dhurandhar et al.6 citations
On the Strong Correlation Between Model Invariance and Generalization ↗Weijian Deng, Stephen Gould, Liang Zheng6 citations
On the Symmetries of Deep Learning Models and Their Internal Representations ↗Charles Godfrey, Davis Brown, Tegan Emerson et al.6 citations
Online Convex Optimization with Hard Constraints: Towards the Best of Two Worlds and Beyond ↗Hengquan Guo, Xin Liu, Honghao Wei et al.6 citations
OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters ↗Piera Riccio, Bill Psomas, Francesco Galati et al.6 citations
Posterior Collapse of a Linear Latent Variable Model ↗Zihao Wang, Liu Ziyin6 citations
Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models ↗Fan Liu, Hao Liu, Wenzhao Jiang6 citations
Pruning Neural Networks Via Coresets and Convex Geometry: Towards No Assumptions ↗Murad Tukan, Loay Mualem, Alaa Maalouf6 citations
RKHS-SHAP: Shapley Values for Kernel Methods ↗Siu Lun Chau, Robert Hu, Javier González et al.6 citations
RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks ↗Leo Kozachkov, Michaela M. Ennis, Jean-Jacques E. Slotine6 citations
Repeated Augmented Rehearsal: A Simple but Strong Baseline for Online Continual Learning ↗Yaqian Zhang, Bernhard Pfahringer, Eibe Frank et al.6 citations
Robust Anytime Learning of Markov Decision Processes ↗Marnix Suilen, Thiago D. Simão, David Parker et al.6 citations
Robust Imitation of a Few Demonstrations with a Backwards Model ↗Jung Yeon Park, Lawson L. S. Wong6 citations
Scale-Invariant Learning by Physics Inversion ↗Philipp Holl, Vladlen Koltun, Nils Thuerey6 citations
Score-Based Generative Modeling Secretly Minimizes the Wasserstein Distance ↗Dohyun Kwon, Ying Fan, Kangwook Lee6 citations
Self-Supervised Amodal Video Object Segmentation ↗Jian Yao, Yuxin Hong, Chiyu Wang et al.6 citations
Self-Supervised Learning with an Information Maximization Criterion ↗Serdar Ozsoy, Shadi Sameh Hamdan, Sercan Ö. Arık et al.6 citations
Shadow Knowledge Distillation: Bridging Offline and Online Knowledge Transfer ↗Lujun Li, Zhe Jin6 citations
Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning ↗Anastasiia Koloskova, Sebastian U. Stich, Martin Jaggi6 citations
Single-Stage Visual Relationship Learning Using Conditional Queries ↗Alakh Desai, Tz-Ying Wu, Subarna Tripathi et al.6 citations
Sparse Gaussian Process Hyperparameters: Optimize Or Integrate? ↗Vidhi Lalchand, Wessel P. Bruinsma, David Burt et al.6 citations
Sparse Probabilistic Circuits Via Pruning and Growing ↗Meihua Dang, Anji Liu, Guy Van den Broeck6 citations
Sparsity in Continuous-Depth Neural Networks ↗Hananeh Aliee, Till Richter, Mikhail Solonin et al.6 citations
Subgroup Robustness Grows on Trees: An Empirical Baseline Investigation ↗Josh Gardner, Zoran Popovic, Ludwig Schmidt6 citations
TCT: Convexifying Federated Learning Using Bootstrapped Neural Tangent Kernels ↗Yaodong Yu, Alexander Wei, Sai Praneeth Karimireddy et al.6 citations
TPU-KNN: K Nearest Neighbor Search at Peak FLOP/s ↗Felix Chern, Blake Hechtman, Andy Davis et al.6 citations
Teacher Forcing Recovers Reward Functions for Text Generation ↗Yongchang Hao, Yuxin Liu, Lili Mou6 citations
Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning ↗Aniket Didolkar, Kshitij Gupta, Anirudh Goyal et al.6 citations
The Computational and Learning Benefits of Daleian Neural Networks ↗Adam Haber, Elad Schneidman6 citations
The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning ↗Vindula Jayawardana, Catherine Tang, Sirui Li et al.6 citations
The Mechanism of Prediction Head in Non-Contrastive Self-Supervised Learning ↗Zixin Wen, Yuanzhi Li6 citations
Theoretical Analysis of Deep Neural Networks for Temporally Dependent Observations ↗Mingliang Ma, Abolfazl Safikhani6 citations
Top Two Algorithms Revisited ↗Marc Jourdan, Rémy Degenne, Dorian Baudry et al.6 citations
Training Subset Selection for Weak Supervision ↗Hunter Lang, Aravindan Vijayaraghavan, David A. Sontag6 citations
Understanding Square Loss in Training Overparametrized Neural Network Classifiers ↗Tianyang Hu, Jun Wang, Wenjia Wang et al.6 citations
Unsupervised Learning from Incomplete Measurements for Inverse Problems ↗Julián Andrés Tachella, Dongdong Chen, Mike E. Davies6 citations
Unsupervised Learning of Group Invariant and Equivariant Representations ↗Robin Winter, Marco Bertolini, Tuan Anh Le et al.6 citations
VTC-LFC: Vision Transformer Compression with Low-Frequency Components ↗Zhenyu WANG, Hao Luo, Pichao Wang et al.6 citations
Wavelet Score-Based Generative Modeling ↗Florentin Guth, Simon Coste, Valentin De Bortoli et al.6 citations
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? ↗Nikolaos Tsilivis, Julia Kempe6 citations
Why Do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective ↗Changyou Chen, Jianyi Zhang, Yi Xu et al.6 citations
ZARTS: On Zero-Order Optimization for Neural Architecture Search ↗Xiaoxing Wang, Wenxuan Guo, Jianlin Su et al.6 citations
ZeroC: A Neuro-Symbolic Model for Zero-Shot Concept Recognition and Acquisition at Inference Time ↗Tailin Wu, Megan Tjandrasuwita, Zhengxuan Wu et al.6 citations
k-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension ↗Ziv Goldfeld, Kristjan H. Greenewald, Theshani Nuradha et al.6 citations
3DOS: Towards 3D Open Set Learning - Benchmarking and Understanding Semantic Novelty Detection on Point Clouds ↗Antonio Alliegro, Francesco Cappio Borlino, Tatiana Tommasi5 citations
A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases ↗James Harrison, Luke Metz, Jascha Sohl‐Dickstein5 citations
A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning ↗Zhaomin Wu, Qinbin Li, Bingsheng He5 citations
A Practical, Progressively-Expressive GNN ↗Lingxiao Zhao, Neil Shah, Leman Akoglu5 citations
A Unified Convergence Theorem for Stochastic Optimization Methods ↗Xiao Qiang Li, Andre Milzarek5 citations
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC ↗Anna Kuzina, Max Welling, Jakub M. Tomczak5 citations
Amplifying Membership Exposure Via Data Poisoning ↗Yufei Chen, Chao Shen, Yun Cheng Shen et al.5 citations
AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection ↗Marius Dragoi, Elena Burceanu, Emanuela Haller et al.5 citations
AttCAT: Explaining Transformers Via Attentive Class Activation Tokens ↗Yao Qiang, Deng Pan, Xin Li et al.5 citations
BEER: Fast O(1/T) Rate for Decentralized Nonconvex Optimization with Communication Compression ↗Haoyu Zhao, Boyue Li, Zhize Li et al.5 citations
BYOL-Explore: Exploration by Bootstrapped Prediction ↗Guo Zhaohan, Shantanu Thakoor, Mîruna Pislar et al.5 citations
Better Best of Both Worlds Bounds for Bandits with Switching Costs ↗Idan Amir, Guy Azov, Tomer Koren et al.5 citations
Biologically-Plausible Backpropagation Through Arbitrary Timespans Via Local Neuromodulators ↗Yuhan Helena Liu, Stephen J Smith, Ştefan Mihalaş et al.5 citations
Can Adversarial Training Be Manipulated by Non-Robust Features? ↗Lue Tao, Lei Feng, Hongxin Wei et al.5 citations
Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis ↗Tim Pearce, Jong-Hyeon Jeong, Yichen Jia et al.5 citations
Class-Aware Adversarial Transformers for Medical Image Segmentation ↗Chenyu You, Ruihan Zhao, Fenglin Liu et al.5 citations
Communication-Efficient Topologies for Decentralized Learning with O(1) Consensus Rate ↗Zhuoqing Song, Weijian Li, Kexin Jin et al.5 citations
Constrained Predictive Coding as a Biologically Plausible Model of the Cortical Hierarchy ↗Siavash Golkar, Tiberiu Teşileanu, Yanis Bahroun et al.5 citations
Continual Learning with Evolving Class Ontologies ↗Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang et al.5 citations
Contrastive Graph Structure Learning Via Information Bottleneck for Recommendation ↗Chunyu Wei, Jian Liang, Di Liu et al.5 citations
Coresets for Relational Data and the Applications ↗Jiaxiang Chen, Qingyuan Yang, Ruomin Huang et al.5 citations
Cross-Linked Unified Embedding for Cross-Modality Representation Learning ↗Xinming Tu, Zhi-Jie Cao, Xia Chenrui et al.5 citations
Cryptographic Hardness of Learning Halfspaces with Massart Noise ↗Ilias Diakonikolas, Daniel M. Kane, Pasin Manurangsi et al.5 citations
DARE: Disentanglement-Augmented Rationale Extraction ↗Linan Yue, Qi Liu, Yichao Du et al.5 citations
Debiased Machine Learning Without Sample-Splitting for Stable Estimators ↗Qizhao Chen, Vasilis Syrgkanis, Morgane Austern5 citations
Decoupled Context Processing for Context Augmented Language Modeling ↗Zonglin Li, Ruiqi Guo, Sanjiv Kumar5 citations
Deep Multi-Modal Structural Equations for Causal Effect Estimation with Unstructured Proxies ↗Shachi Deshpande, Kaiwen Wang, Dhruv Sreenivas et al.5 citations
Differentiable Analog Quantum Computing for Optimization and Control ↗Jiaqi Leng, Yuxiang Peng, Yi-Ling Qiao et al.5 citations
Differentially Private Graph Learning Via Sensitivity-Bounded Personalized PageRank ↗Alessandro Epasto, Vahab Mirrokni, Bryan Perozzi et al.5 citations
Direct Advantage Estimation ↗Hsiao-Ru Pan, Nico Gürtler, Alexander Neitz et al.5 citations
Discovering Design Concepts for CAD Sketches ↗Yuezhi Yang, Hao Pan5 citations

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📰 NeurIPS 2022: all accepted papers

NeurIPS 2022: all accepted papers