A Data-Driven Approach for Learning to Control Computers

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 12 of 33
1. Verfasser: Humphreys, Peter C. (VerfasserIn)
Weitere Verfasser: Raposo, David (VerfasserIn), Pohlen, Tobias (VerfasserIn), Thornton, Gregory (VerfasserIn), Chhaparia, Rachita (VerfasserIn), Muldal, Alistair (VerfasserIn), Abramson, Josh (VerfasserIn), Georgiev, Petko (VerfasserIn), Santoro, Adam (VerfasserIn), Lillicrap, Timothy (VerfasserIn)
Pages:2022
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2023
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Modality Competition: What Makes Joint Training of Multi-Modal Network Fail in Deep Learning? (Provably) 2023 Huang, Yu
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-Induced Topology 2023 Huang, Yan
SDQ: Stochastic Differentiable Quantization with Mixed Precision 2023 Huang, Xijie
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design 2023 Huang, Yinan
On the Learning of Non-Autoregressive Transformers 2023 Huang, Fei
Directed Acyclic Transformer for Non-Autoregressive Machine Translation 2023 Huang, Fei
Proximal Denoiser for Convergent Plug-And-Play Optimization with Nonconvex Regularization 2023 Hurault, Samuel
A Modern Self-Referential Weight Matrix that Learns to Modify Itself 2023 Irie, Kazuki
Modeling Strong and Human-Like Gameplay with KL-Regularized Search 2023 Jacob, Athul Paul
Input Dependent Sparse Gaussian Processes 2023 Jafrasteh, Bahram
Biological Sequence Design with GFlowNets 2023 Jain, Moksh
Regret Minimization with Performative Feedback 2023 Jagadeesan, Meena
Frustratingly Easy Transferability Estimation 2023 Huang, Long-Kai
Going Deeper into Permutation-Sensitive Graph Neural Networks 2023 Huang, Zhongyu
Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors 2023 Huizing, Geert-Jan
Bayesian Optimization for Distributionally Robust Chance-Constrained Problem 2023 Inatsu, Yu
LeNSE: Learning to Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation 2023 Ireland, David
The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns Via Spotlights of Attention 2023 Irie, Kazuki
A Deep Convolutional Neural Network that is Invariant to Time Rescaling 2023 Jacques, Brandon G.
Training Your Sparse Neural Network Better with Any Mask 2023 Jaiswal, Ajay Kumar
Alle Artikel auflisten