35th Conference on Neural Information Processing Systems (NeurIPS 2021) online, 6-14 December 2021 Volume 9 of 36

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Bibliographische Detailangaben
Körperschaften: NeurIPS (VerfasserIn), Neural Information Processing Systems Foundation (Herausgebendes Organ)
Weitere Verfasser: Ranzato, Marc'Aurelio (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Red Hook, NY Curran Associates, Inc. 2022
Schriftenreihe:Advances in neural information processing systems 34
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Titel Jahr Verfasser
Neural Tangent Kernel Maximum Mean Discrepancy 2022 Cheng, Xiuyuan
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret 2022 Tarbouriech, Jean
Nested Counterfactual Identification from Arbitrary Surrogate Experiments 2022 Correa, Juan
BooVI: Provably Efficient Bootstrapped Value Iteration 2022 Liu, Boyi
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery 2022 Cundy, Chris
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning 2022 Lee, Hyuck
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks 2022 Hagenaars, Jesse
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose 2022 Wang, Angtian
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning 2022 Huang, Yangsibo
Sim and Real: Better Together 2022 Di-Castro, Shirli
Contrastive Learning of Global and Local Video Representations 2022 Ma, Shuang
Towards Tight Communication Lower Bounds for Distributed Optimisation 2022 Korhonen, Janne H.
Manifold Topology Divergence: a Framework for Comparing Data Manifolds. 2022 Barannikov, Serguei
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem 2022 Xin, Liang
Subgraph Federated Learning with Missing Neighbor Generation 2022 ZHANG, Ke
Bellman-consistent Pessimism for Offline Reinforcement Learning 2022 Xie, Tengyang
Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases 2022 Gupta, Shashi Kant
On the Universality of Graph Neural Networks on Large Random Graphs 2022 Keriven, Nicolas
Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees 2022 Dexter, Gregory
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation 2022 Wan, Xingchen
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