Publications

1450 results for Machine Learning

Challenges and Remedies of Domain-Specific Classifiers as LLM Guardrails: Self-Harm as a Case Study
- - Bing Zhang
  - Guang-Jie Ren
- 2025
- NAACL 2025
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
- - Daouda Sow
  - Herbert Woisetschläger
  - et al.
- 2025
- ICLR 2025
Revisiting Mode Connectivity in Neural Networks with Bezier Surface
- - Jie Ren
  - Pin-Yu Chen
- 2025
- ICLR 2025
Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference
- - Matthew Riemer
  - Gopeshh Subbaraj
  - et al.
- 2025
- ICLR 2025
DELIFT: DATA EFFICIENT LANGUAGE MODEL INSTRUCTION FINE-TUNING
- - Ishika Agarwal
  - Krishnateja Killamsetty
  - et al.
- 2025
- ICLR 2025
A new framework for evaluating model out-of-distribution generalisation for the biochemical domain
- - Raúl Fernández Díaz
  - Lam Thanh Hoang
  - et al.
- 2025
- ICLR 2025
A Generalist Hanabi Agent
- - Arjun Sudhakar
  - Hadi Nekoei
  - et al.
- 2025
- ICLR 2025
Vertical Federated Learning with Missing Features During Training and Inference
- - Pedro Valdeira
  - Shiqiang Wang
  - et al.
- 2025
- ICLR 2025
The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG
- - Francesco Carzaniga
  - Gary Hoppeler
  - et al.
- 2025
- ICLR 2025
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems
- - Jie Chen
- 2025
- ICLR 2025