ServiceNow IA recherche

9

Continual Learning with Foundation Models: An Empirical Study of Latent Replay
Continual Learning with Foundation Models: An Empirical Study of Latent Replay
Rapid development of large-scale pre-training has resulted in foundation models that can act as effective feature extractors on a …
Workshop at the Conference on Computer Vision and Pattern Recognition (CVPR),  2022.
Article Citation
Scaling up ML-based Black-box Planning with Partial STRIPS Models
Scaling up ML-based Black-box Planning with Partial STRIPS Models
A popular approach for sequential decision-making is to perform simulator-based search guided with Machine Learning (ML) methods like …
ICAPS'22 Workshop on Reliable Data-Driven Planning and Scheduling,  2022.
Article Citation Code
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models
Data augmentation alleviates the problem of data scarcity when training language models (LMs) by generating new examples based on the …
Workshop at the Annual Meetings of the Association for Computational Linguistics (ACL),  2022.
Article Citation
A Probabilistic Perspective on Reinforcement Learning via Supervised Learning
A Probabilistic Perspective on Reinforcement Learning via Supervised Learning
Reinforcement Learning via Supervised Learning (RvS) only uses supervised techniques to learn desirable behaviors from large datasets. …
Workshop at the International Conference on Learning Representations (ICLR),  2022.
Article Citation Code
Can Active Learning Preemptively Mitigate Fairness Issues?
Can Active Learning Preemptively Mitigate Fairness Issues?
Dataset bias is one of the prevailing causes of unfairness in machine learning. Addressing fairness at the data collection and dataset …
Workshop at the International Conference on Learning Representations (ICLR),  2022.
Article Citation Code
Object-centric Compositional Imagination for Visual Abstract Reasoning
Object-centric Compositional Imagination for Visual Abstract Reasoning
Like humans devoid of imagination, current machine learning systems lack the ability to adapt to new, unexpected situations by …
Workshop at the International Conference on Learning Representations (ICLR),  2022.
Article Citation
On the Value of ML Models
On the Value of ML Models
We argue that, when establishing and benchmarking Machine Learning (ML) models, the research community should favour evaluation metrics …
Workshop at the Neural Information Processing Systems (NeurIPS),  2021.
Article Citation
Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark
Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark
Recent progress in self-supervision shows that pre-training large neural networks on vast amounts of unsupervised data can lead to …
Workshop at the Neural Information Processing Systems (NeurIPS),  2021.
Article Citation Code
Typing assumptions improve identification in causal discovery - Report and comments on future directions
Typing assumptions improve identification in causal discovery - Report and comments on future directions
Causal discovery from observational data is a challenging task that can only be solved up to a set of equivalent solutions, called an …
Workshop at the Neural Information Processing Systems (NeurIPS),  2021.
Article Citation Code
SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction
SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction
Recent work has made significant progress in learning object meshes with weak supervision. Soft Rasterization methods have achieved …
Workshop at the International Conference on Computer Vision (ICCV),  2021.
Article Citation Code Diapositives