Publications

1615 results for Machine Learning

Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors
- - Ido Amos
  - Jonathan Berant
  - et al.
- 2024
- ICLR 2024
Conference paper
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
- - Akari Asai
  - Zeqiu Wu
  - et al.
- 2024
- ICLR 2024
Conference paper
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition
- - Chen Chen
  - Ruizhe Li
  - et al.
- 2024
- ICLR 2024
Conference paper
NEURAL ACTIVE LEARNING BEYOND BANDITS
- - Yikun Ban
  - Ishika Agarwal
  - et al.
- 2024
- ICLR 2024
Conference paper
Reasoning of Large Language Models over Knowledge Graphs with Super-Relations
- - Song Wang
  - Lin Junhong
  - et al.
- 2024
- ICLR 2024
Conference paper
AutoVP: An Automated Visual Prompting Framework and Benchmark
- - Hsi-ai Tsao
  - Lei Hsiung
  - et al.
- 2024
- ICLR 2024
Conference paper
On the generalization capacity of neural networks during generic multimodal reasoning
- - Taku Ito
  - Soham Dan
  - et al.
- 2024
- ICLR 2024
Conference paper
Sharpness-Aware Data Poisoning Attack
- - Pengfei He
  - Han Xu
  - et al.
- 2024
- ICLR 2024
Conference paper
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
- - Yuchen Hu
  - Chen Chen
  - et al.
- 2024
- ICLR 2024
Conference paper
A Probabilistic Framework for Modular Continual Learning
- - Lazar Valkov
  - Akash Srivastava
  - et al.
- 2024
- ICLR 2024
Conference paper