Publications

54 results at ICML 2024

What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
- - Irene Ko
  - Pin-Yu Chen
  - et al.
- 2024
- ICML 2024
A new computationally efficient algorithm to solve Feature Selection for Functional Data Classification in high-dimensional spaces
- - Tobia Boschi
  - Francesca Bonin
  - et al.
- 2024
- ICML 2024
Efficient Contrastive Learning for Fast and Accurate Inference on Graphs
- - Teng Xiao
  - Huaisheng Zhu
  - et al.
- 2024
- ICML 2024
Data Engineering for Scaling Language Models to 128K Context
- - Yao Fu
  - Rameswar Panda
  - et al.
- 2024
- ICML 2024
Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory
- - Kai Xu
  - Hong Ge
- 2024
- ICML 2024
Improving Performance Prediction of Electrolyte Formulations with Transformer-based Molecular Representation Model
- - Indra Priyadarsini S
  - Vidushi Sharma
  - et al.
- 2024
- ICML 2024
A Multi-View Mixture-of-Experts based on Language and Graphs for Molecular Properties Prediction
- - Victor Shirasuna
  - Eduardo Almeida Soares
  - et al.
- 2024
- ICML 2024
CharED: Character-wise Ensemble Decoding for Large Language Models
- - Kevin Gu
  - Eva Tuecke
  - et al.
- 2024
- ICML 2024
Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs
- - Swanand Ravindra Kadhe
  - Farhan Ahmed
  - et al.
- 2024
- ICML 2024
Humans Linguistically Align to their Conversational Partners, and Language Models Should Too
- - Rachel Ostrand
  - Sara Berger
- 2024
- ICML 2024