36th Conference on Neural Information Processing Systems (NeurIPS 2022 New Orleans, Louisiana, USA, 28 November-9 December 2022) Volume 8 of 50

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Körperschaften: NeurIPS (VerfasserIn), Neural Information Processing Systems Foundation (VeranstalterIn)
Weitere Verfasser: Koyejo, Sanmi (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Red Hook, NY Curran Associates, Inc. 2023
Schriftenreihe:Advances in neural information processing systems 35
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Titel Jahr Verfasser
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings 2023 Ogier du Terrail, Jean
Scale-invariant Learning by Physics Inversion 2023 Holl, Philipp
CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks 2023 He, Xuanli
Sketching based Representations for Robust Image Classification with Provable Guarantees 2023 Dikkala, Nishanth
Asymptotic Properties for Bayesian Neural Network in Besov Space 2023 Lee, Kyeongwon
OmniVL: One Foundation Model for Image-Language and Video-Language Tasks 2023 Wang, Junke
Self-Organized Group for Cooperative Multi-agent Reinforcement Learning 2023 Shao, Jianzhun
Active Exploration for Inverse Reinforcement Learning 2023 Lindner, David
Trajectory balance: Improved credit assignment in GFlowNets 2023 Malkin, Nikolay
On Privacy and Personalization in Cross-Silo Federated Learning 2023 Liu, Ken
ProcTHOR: Large-Scale Embodied AI Using Procedural Generation 2023 Deitke, Matt
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking 2023 Duan, Keyu
Transition to Linearity of General Neural Networks with Directed Acyclic Graph Architecture 2023 Zhu, Libin
On the symmetries of the synchronization problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane 2023 Cesa, Gabriele
Size and depth of monotone neural networks: interpolation and approximation 2023 Mikulincer, Dan
Action-modulated midbrain dopamine activity arises from distributed control policies 2023 Lindsey, Jack
Latent Hierarchical Causal Structure Discovery with Rank Constraints 2023 Huang, Biwei
Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers 2023 Marris, Luke
NOMAD: Nonlinear Manifold Decoders for Operator Learning 2023 Seidman, Jacob
A PAC-Bayesian Generalization Bound for Equivariant Networks 2023 Behboodi, Arash
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