ML Anthology
Authors
Search
About
Lukasik, Michal
11 publications
ICLR
2025
Better Autoregressive Regression with LLMs via Regression-Aware Fine-Tuning
Michal Lukasik
,
Zhao Meng
,
Harikrishna Narasimhan
,
Yin-Wen Chang
,
Aditya Krishna Menon
,
Felix Yu
,
Sanjiv Kumar
ICML
2025
Bipartite Ranking from Multiple Labels: On Loss Versus Label Aggregation
Michal Lukasik
,
Lin Chen
,
Harikrishna Narasimhan
,
Aditya Krishna Menon
,
Wittawat Jitkrittum
,
Felix X. Yu
,
Sashank J. Reddi
,
Gang Fu
,
Mohammadhossein Bateni
,
Sanjiv Kumar
ICLR
2024
On Bias-Variance Alignment in Deep Models
Lin Chen
,
Michal Lukasik
,
Wittawat Jitkrittum
,
Chong You
,
Sanjiv Kumar
ICLR
2024
Two-Stage LLM Fine-Tuning with Less Specialization and More Generalization
Yihan Wang
,
Si Si
,
Daliang Li
,
Michal Lukasik
,
Felix Yu
,
Cho-Jui Hsieh
,
Inderjit S Dhillon
,
Sanjiv Kumar
TMLR
2024
What Do Larger Image Classifiers Memorise?
Michal Lukasik
,
Vaishnavh Nagarajan
,
Ankit Singh Rawat
,
Aditya Krishna Menon
,
Sanjiv Kumar
NeurIPS
2023
ResMem: Learn What You Can and Memorize the REST
Zitong Yang
,
Michal Lukasik
,
Vaishnavh Nagarajan
,
Zonglin Li
,
Ankit Rawat
,
Manzil Zaheer
,
Aditya K Menon
,
Sanjiv Kumar
UAI
2023
Robust Distillation for Worst-Class Performance: On the Interplay Between Teacher and Student Objectives
Serena Wang
,
Harikrishna Narasimhan
,
Yichen Zhou
,
Sara Hooker
,
Michal Lukasik
,
Aditya Krishna Menon
NeurIPSW
2023
Two-Stage LLM Fine-Tuning with Less Specialization and More Generalization
Yihan Wang
,
Si Si
,
Daliang Li
,
Michal Lukasik
,
Felix Yu
,
Cho-Jui Hsieh
,
Inderjit S Dhillon
,
Sanjiv Kumar
TMLR
2022
Teacher’s Pet: Understanding and Mitigating Biases in Distillation
Michal Lukasik
,
Srinadh Bhojanapalli
,
Aditya Krishna Menon
,
Sanjiv Kumar
ICML
2020
Does Label Smoothing Mitigate Label Noise?
Michal Lukasik
,
Srinadh Bhojanapalli
,
Aditya Menon
,
Sanjiv Kumar
AAAI
2016
Convolution Kernels for Discriminative Learning from Streaming Text
Michal Lukasik
,
Trevor Cohn