Continual Learning Via Sequential Function-Space Variational Inference

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 23 of 33
1. Verfasser: Rudner, Tim G. J. (VerfasserIn)
Weitere Verfasser: Smith, Freddie Bickford (VerfasserIn), Feng, Qixuan (VerfasserIn), Teh, Yee Whye (VerfasserIn), Gal, Yarin (VerfasserIn)
Pages:2022
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2023
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Robust SDE-Based Variational Formulations for Solving Linear PDEs Via Deep Learning 2023 Richter, Lorenz
Function-Space Inference with Sparse Implicit Processes 2023 Rodri´guez-Santana, Simon
Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models 2023 Rolland, Paul
Continual Learning Via Sequential Function-Space Variational Inference 2023 Rudner, Tim G. J.
Versatile Dueling Bandits: Best-Of-Both World Analyses for Learning from Relative Preferences 2023 Saha, Aadirupa
Unraveling Attention Via Convex Duality: Analysis and Interpretations of Vision Transformers 2023 Sahiner, Arda
The Algebraic Path Problem for Graph Metrics 2023 Sanmarti´n, Enrique Fita
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks 2023 Saxe, Andrew
Benchmarking and Analyzing Point Cloud Classification Under Corruptions 2023 Ren, Jiawei
Proximal Exploration for Model-Guided Protein Sequence Design 2023 Ren, Zhizhou
3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation 2023 Richtarik, Peter
Probabilistically Robust Learning: Balancing Average and Worst-Case Performance 2023 Robey, Alexander
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images 2023 Ron, Tom
A Consistent and Efficient Evaluation Strategy for Attribution Methods 2023 Rong, Yao
Learning to Infer Structures of Network Games 2023 Rossi, Emanuele
Optimal Clipping and Magnitude-Aware Differentiation for Improved Quantization-Aware Training 2023 Sakr, Charbel
FITNESS: (Fine Tune on New and Similar Samples) to Detect Anomalies in Streams with Drift and Outliers 2023 Sankararaman, Abishek
Understanding Contrastive Learning Requires Incorporating Inductive Biases 2023 Saunshi, Nikunj
One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes 2023 Reddy, Aravind
Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs 2023 Ren, Jie
Alle Artikel auflisten