Distributional Preference Alignment of LLMs via Optimal Transport
- Igor Melnyk
- Youssef Mroueh
- et al.
- 2024
- NeurIPS 2024
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- Machine Learning
1384 results for Machine Learning
How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses
- Vraj Shah
- Thomas Parashos
- et al.
- 2024
- VLDB 2024
- Topic
What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
- Irene Ko
- Pin-Yu Chen
- et al.
- 2024
- ICML 2024
Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory
- Kai Xu
- Hong Ge
- 2024
- ICML 2024
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors
- Ido Amos
- Jonathan Berant
- et al.
- 2024
- ICLR 2024
A Probabilistic Framework for Modular Continual Learning
- Lazar Valkov
- Akash Srivastava
- et al.
- 2024
- ICLR 2024
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
- Akari Asai
- Zeqiu Wu
- et al.
- 2024
- ICLR 2024
Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition
- Hadar Mulian
- Segev Shlomov
- et al.
- 2024
- AAAI 2024
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods
- Anh Duc Nguyen
- Tuan Dung Nguyen
- et al.
- 2024
- AAAI 2024
One Step Closer to Unbiased Aleatoric Uncertainty Estimation
- Wang Zhang
- Ziwen Martin Ma
- et al.
- 2024
- AAAI 2024