Michal Lukasik

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 43

Top Venues

University of Sheffield, UK (PHD)

Education History

University of Sheffield, UK

PHD

Publications

Michal Lukasik, Harikrishna Narasimhan, Aditya Krishna Menon, Felix X. Yu, Sanjiv Kumar
Metric-aware LLM inference. CoRR (2024)
Lin Chen, Michal Lukasik, Wittawat Jitkrittum, Chong You, Sanjiv Kumar
On Bias-Variance Alignment in Deep Models. ICLR (2024)
Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix Yu, Cho-Jui Hsieh, Inderjit S. Dhillon, Sanjiv Kumar
Two-stage LLM Fine-tuning with Less Specialization and More Generalization. ICLR (2024)
Michal Lukasik, Vaishnavh Nagarajan, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
What do larger image classifiers memorise? Trans. Mach. Learn. Res. 2024 (2024)
Daliang Li, Ankit Singh Rawat, Manzil Zaheer, Xin Wang, Michal Lukasik, Andreas Veit, Felix X. Yu, Sanjiv Kumar
Large Language Models with Controllable Working Memory. ACL (Findings) (2023)
Zitong Yang, Michal Lukasik, Vaishnavh Nagarajan, Zonglin Li, Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Sanjiv Kumar
ResMem: Learn what you can and memorize the rest. CoRR (2023)
Michal Lukasik, Vaishnavh Nagarajan, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
What do larger image classifiers memorise? CoRR (2023)
Serena Lutong Wang, Harikrishna Narasimhan, Yichen Zhou, Sara Hooker, Michal Lukasik, Aditya Krishna Menon
Robust distillation for worst-class performance: on the interplay between teacher and student objectives. UAI (2023)
Zitong Yang, Michal Lukasik, Vaishnavh Nagarajan, Zonglin Li, Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Sanjiv Kumar
ResMem: Learn what you can and memorize the rest. NeurIPS (2023)
Lin Chen, Michal Lukasik, Wittawat Jitkrittum, Chong You, Sanjiv Kumar
It's an Alignment, Not a Trade-off: Revisiting Bias and Variance in Deep Models. CoRR (2023)
Michal Lukasik, Srinadh Bhojanapalli, Aditya Krishna Menon, Sanjiv Kumar
Teacher's pet: understanding and mitigating biases in distillation. Trans. Mach. Learn. Res. 2022 (2022)
Wieslaw Kopec, Kinga Skorupska, Anna Jaskulska, Michal Lukasik, Barbara Karpowicz, Julia Paluch, Kinga Kwiatkowska, Daniel Jablonski, Rafal Maslyk
XR Hackathon Going Online: Lessons Learned from a Case Study with Goethe-Institut. CoRR (2022)
Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix X. Yu, Cho-Jui Hsieh, Inderjit S. Dhillon, Sanjiv Kumar
Preserving In-Context Learning ability in Large Language Model Fine-tuning. CoRR (2022)
Serena Wang, Harikrishna Narasimhan, Yichen Zhou, Sara Hooker, Michal Lukasik, Aditya Krishna Menon
Robust Distillation for Worst-class Performance. CoRR (2022)
Daliang Li, Ankit Singh Rawat, Manzil Zaheer, Xin Wang, Michal Lukasik, Andreas Veit, Felix X. Yu, Sanjiv Kumar
Large Language Models with Controllable Working Memory. CoRR (2022)
Rohan Tondulkar, Manisha Dubey, P. K. Srijith, Michal Lukasik
Hawkes Process Classification through Discriminative Modeling of Text. IJCNN (2022)
Srinadh Bhojanapalli, Ayan Chakrabarti, Andreas Veit, Michal Lukasik, Himanshu Jain, Frederick Liu, Yin-Wen Chang, Sanjiv Kumar
Leveraging redundancy in attention with Reuse Transformers. CoRR (2021)
Michal Lukasik, Srinadh Bhojanapalli, Aditya Krishna Menon, Sanjiv Kumar
Teacher's pet: understanding and mitigating biases in distillation. CoRR (2021)
Srinadh Bhojanapalli, Ayan Chakrabarti, Himanshu Jain, Sanjiv Kumar, Michal Lukasik, Andreas Veit
Eigen Analysis of Self-Attention and its Reconstruction from Partial Computation. CoRR (2021)
Wieslaw Kopec, Kinga Skorupska, Anna Jaskulska, Michal Lukasik, Barbara Karpowicz, Julia Paluch, Kinga Kwiatkowska, Daniel Jablonski, Rafal Maslyk
XR Hackathon Going Online: Lessons Learned from a Case Study with Goethe-Institute. MIDI (2021)
Wittawat Jitkrittum, Michal Lukasik, Ananda Theertha Suresh, Felix X. Yu, Gang Wang
HD-cos Networks: Efficient Neural Architectures for Secure Multi-Party Computation. CoRR (2021)
Aleksandar Bojchevski, Johannes Klicpera, Bryan Perozzi, Amol Kapoor, Martin Blais, Benedek Rózemberczki, Michal Lukasik, Stephan Günnemann
Scaling Graph Neural Networks with Approximate PageRank. CoRR (2020)
Michal Lukasik, Srinadh Bhojanapalli, Aditya Krishna Menon, Sanjiv Kumar
Does label smoothing mitigate label noise? CoRR (2020)
Michal Lukasik, Himanshu Jain, Aditya Krishna Menon, Seungyeon Kim, Srinadh Bhojanapalli, Felix X. Yu, Sanjiv Kumar
Semantic Label Smoothing for Sequence to Sequence Problems. EMNLP (1) (2020)
Michal Lukasik, Boris Dadachev, Kishore Papineni, Gonçalo Simões
Text Segmentation by Cross Segment Attention. EMNLP (1) (2020)
Michal Lukasik, Himanshu Jain, Aditya Krishna Menon, Seungyeon Kim, Srinadh Bhojanapalli, Felix X. Yu, Sanjiv Kumar
Semantic Label Smoothing for Sequence to Sequence Problems. CoRR (2020)
Aleksandar Bojchevski, Johannes Klicpera, Bryan Perozzi, Amol Kapoor, Martin Blais, Benedek Rózemberczki, Michal Lukasik, Stephan Günnemann
Scaling Graph Neural Networks with Approximate PageRank. KDD (2020)
Rohan Tondulkar, Manisha Dubey, P. K. Srijith, Michal Lukasik
Hawkes Process Classification through Discriminative Modeling of Text. CoRR (2020)
Michal Lukasik, Srinadh Bhojanapalli, Aditya Krishna Menon, Sanjiv Kumar
Does label smoothing mitigate label noise? ICML (2020)
Michal Lukasik, Boris Dadachev, Gonçalo Simões, Kishore Papineni
Text Segmentation by Cross Segment Attention. CoRR (2020)
Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Arkaitz Zubiaga, Maria Liakata, Rob Procter
Gaussian Processes for Rumour Stance Classification in Social Media. ACM Trans. Inf. Syst. 37 (2) (2019)
Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Isabelle Augenstein
Discourse-aware rumour stance classification in social media using sequential classifiers. Inf. Process. Manag. 54 (2) (2018)
Sherin Thomas, P. K. Srijith, Michal Lukasik
A Bayesian Point Process Model for User Return Time Prediction in Recommendation Systems. UMAP (2018)
Michal Lukasik, Richard Zens
Content Explorer: Recommending Novel Entities for a Document Writer. EMNLP (2018)
P. K. Srijith, Michal Lukasik, Kalina Bontcheva, Trevor Cohn
Longitudinal Modeling of Social Media with Hawkes Process Based on Users and Networks. ASONAM (2017)
Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Isabelle Augenstein
Discourse-Aware Rumour Stance Classification in Social Media Using Sequential Classifiers. CoRR (2017)
Michal Lukasik, Trevor Cohn
Convolution Kernels for Discriminative Learning from Streaming Text. AAAI (2016)
Grzegorz Bokota, Marta Magnowska, Tomasz Kusmierczyk, Michal Lukasik, Matylda Roszkowska, Dariusz Plewczynski
Computational Approach to Dendritic Spine Taxonomy and Shape Transition Analysis. Frontiers Comput. Neurosci. 10 (2016)
Varvara Logacheva, Michal Lukasik, Lucia Specia
Metrics for Evaluation of Word-level Machine Translation Quality Estimation. ACL (2) (2016)
Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Arkaitz Zubiaga, Maria Liakata, Rob Procter
Using Gaussian Processes for Rumour Stance Classification in Social Media. CoRR (2016)
Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik
Stance classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversations. CoRR (2016)
Michal Lukasik, P. K. Srijith, Duy Vu, Kalina Bontcheva, Arkaitz Zubiaga, Trevor Cohn
Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter. ACL (2) (2016)
Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik
Stance Classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversations. COLING (2016)
Michal Lukasik, Trevor Cohn, Kalina Bontcheva
Classifying Tweet Level Judgements of Rumours in Social Media. EMNLP (2015)
Michal Lukasik, Trevor Cohn, Kalina Bontcheva
Estimating collective judgement of rumours in social media. CoRR (2015)
Michal Lukasik, P. K. Srijith, Trevor Cohn, Kalina Bontcheva
Modeling Tweet Arrival Times using Log-Gaussian Cox Processes. EMNLP (2015)
Michal Lukasik, Trevor Cohn, Kalina Bontcheva
Point Process Modelling of Rumour Dynamics in Social Media. ACL (2) (2015)
Dariusz Plewczynski, Michal Lukasik, Konrad Kurdej, Julian Zubek, Franciszek Rakowski, Joanna Raczaszek-Leonardi
Generic Framework for Simulation of Cognitive Systems: A Case Study of Color Category Boundaries. ICMMI (2013)
Indrajit Saha, Ujjwal Maulik, Michal Lukasik, Dariusz Plewczynski
Multiobjective Differential Evolution: A Comparative Study on Benchmark Problems. ICMMI (2013)
Michal Lukasik, Marcin Sydow
Threshold ML-KNN: Statistical Evaluation on Multiple Benchmarks. IIS (2013)
Piotr Jan Dendek, Lukasz Bolikowski, Michal Lukasik
Evaluation of Features for Author Name Disambiguation Using Linear Support Vector Machines. Document Analysis Systems (2012)

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Publication Activity (10 Years)

Top Topics

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Michal Lukasik