Search Results for author:
Found 6 papers, 3 papers with code
Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System
Our work, Smart-Infinity, addresses the storage bandwidth bottleneck of storage-offloaded LLM training using near-storage processing devices on a real system.
Falcon: Fair Active Learning using Multi-armed Bandits
Given a user-specified group fairness measure, Falcon identifies samples from "target groups" (e. g., (attribute=female, label=positive)) that are the most informative for improving fairness.
A Hybrid Antenna Switching Scheme for Dynamic Channel Sounding
The primary purpose is to maintain the estimation accuracy of angles of MPCs while decreasing the resolution of Doppler frequencies for minimized complexity of channel parameter estimation.
iFlipper: Label Flipping for Individual Fairness
We then propose an approximate linear programming algorithm and provide theoretical guarantees on how close its result is to the optimal solution in terms of the number of label flips.
Robust and flexible learning of a high-dimensional classification rule using auxiliary outcomes
The proposed method includes an MTL step using all outcomes to gain efficiency, and a subsequent calibration step using only the outcome of interest to correct both types of biases.
PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules
We present PyOpenDial, a Python-based domain-independent, open-source toolkit for spoken dialogue systems.
