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
Publications
821 results for Foundation Models
Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning
- Runqian Wang
- Soumya Ghosh
- et al.
- 2024
- NeurIPS 2024
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models
- Zhaitang Li
- Pin-Yu Chen
- et al.
- 2024
- NeurIPS 2024
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking
- Gabriel Rioux
- Apoorva Nitsure
- et al.
- 2024
- NeurIPS 2024
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention
- William Brandon
- Mayank Mishra
- et al.
- 2024
- NeurIPS 2024
Multi-View Mixture-of-Experts for Predicting Molecular Properties Using SMILES, SELFIES, and Graph-Based Representations
- Eduardo Almeida Soares
- Indra Priyadarsini S
- et al.
- 2024
- NeurIPS 2024
MESS+: Energy-Optimal Inferencing in Language Model Zoos with Service Level Guarantees
- Ryan Zhang
- Herbert Woisetschläger
- et al.
- 2024
- NeurIPS 2024
Thought of Search: Planning with Language Models Through The Lens of Efficiency
- Michael Katz
- Harsha Kokel
- et al.
- 2024
- NeurIPS 2024
Memorization to Generalization: The Emergence of Diffusion Models from Associative Memory
- Bao Pham
- Gabriel Raya
- et al.
- 2024
- NeurIPS 2024
Fine-Tuned MLP-Mixers as data-driven Numerical Surrogates?
- Imran Nasim
- Joao Lucas de Sousa Almeida
- 2024
- NeurIPS 2024