Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
- Vijay E
- Arindam Jati
- et al.
- 2024
- NeurIPS 2024
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- Foundation Models
600 results for Foundation Models
Distributional Preference Alignment of LLMs via Optimal Transport
- Igor Melnyk
- Youssef Mroueh
- et al.
- 2024
- NeurIPS 2024
- Topic
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking
- Gabriel Rioux
- Apoorva Nitsure
- et al.
- 2024
- NeurIPS 2024
LLM-Pilot: Characterize and Optimize Performance of your LLM Inference Services
- Gosia Lazuka
- Andreea Simona Anghel
- et al.
- 2024
- SC 2024
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
- Nicolas Menet
- Michael Hersche
- et al.
- 2023
- NeurIPS 2023
DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering
- Ella Neeman
- Roee Aharoni
- et al.
- 2023
- ACL 2023
FETA: Towards Specializing Foundational Models for Expert Task Applications
- Amit Alfassy
- Assaf Arbelle
- et al.
- 2022
- NeurIPS 2022
Fairness Reprogramming
- Guanhua Zhang
- Yihua Zhang
- et al.
- 2022
- NeurIPS 2022
Deep Indexed Active Learning for Matching Heterogeneous Entity Representations
- Arjit Jain
- Sunita Sarawagi
- et al.
- 2022
- VLDB 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
- Victor Sanh
- Albert Webson
- et al.
- 2022
- ICLR 2022