Michal Lukasik

According to our database, Michal Lukasik authored at least 42 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Metric-aware LLM inference.

Michal Lukasik, Harikrishna Narasimhan, Aditya Krishna Menon, Felix X. Yu, Sanjiv Kumar

CoRR, 2024

2023

It's an Alignment, Not a Trade-off: Revisiting Bias and Variance in Deep Models.

Lin Chen, Michal Lukasik, Wittawat Jitkrittum, Chong You, Sanjiv Kumar

CoRR, 2023

What do larger image classifiers memorise?

Michal Lukasik, Vaishnavh Nagarajan, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar

CoRR, 2023

Robust distillation for worst-class performance: on the interplay between teacher and student objectives.

Serena Lutong Wang, Harikrishna Narasimhan, Yichen Zhou, Sara Hooker, Michal Lukasik, Aditya Krishna Menon

Proceedings of the Uncertainty in Artificial Intelligence, 2023

ResMem: Learn what you can and memorize the rest.

Zitong Yang, Michal Lukasik, Vaishnavh Nagarajan, Zonglin Li, Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Sanjiv Kumar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Large Language Models with Controllable Working Memory.

Daliang Li, Ankit Singh Rawat, Manzil Zaheer, Xin Wang, Michal Lukasik, Andreas Veit, Felix X. Yu, Sanjiv Kumar

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Teacher's pet: understanding and mitigating biases in distillation.

Michal Lukasik, Srinadh Bhojanapalli, Aditya Krishna Menon, Sanjiv Kumar

Trans. Mach. Learn. Res., 2022

Large Language Models with Controllable Working Memory.

Daliang Li, Ankit Singh Rawat, Manzil Zaheer, Xin Wang, Michal Lukasik, Andreas Veit, Felix X. Yu, Sanjiv Kumar

CoRR, 2022

Preserving In-Context Learning ability in Large Language Model Fine-tuning.

Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix X. Yu, Cho-Jui Hsieh, Inderjit S. Dhillon, Sanjiv Kumar

CoRR, 2022

XR Hackathon Going Online: Lessons Learned from a Case Study with Goethe-Institut.

Wieslaw Kopec, Kinga Skorupska, Anna Jaskulska, Michal Lukasik, Barbara Karpowicz, Julia Paluch, Kinga Kwiatkowska, Daniel Jablonski, Rafal Maslyk

CoRR, 2022

Robust Distillation for Worst-class Performance.

Serena Lutong Wang, Harikrishna Narasimhan, Yichen Zhou, Sara Hooker, Michal Lukasik, Aditya Krishna Menon

CoRR, 2022

Hawkes Process Classification through Discriminative Modeling of Text.

Rohan Tondulkar, Manisha Dubey, P. K. Srijith, Michal Lukasik

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

HD-cos Networks: Efficient Neural Architectures for Secure Multi-Party Computation.

Wittawat Jitkrittum, Michal Lukasik, Ananda Theertha Suresh, Felix X. Yu, Gang Wang

CoRR, 2021

Leveraging redundancy in attention with Reuse Transformers.

Srinadh Bhojanapalli, Ayan Chakrabarti, Andreas Veit, Michal Lukasik, Himanshu Jain, Frederick Liu, Yin-Wen Chang, Sanjiv Kumar

CoRR, 2021

Eigen Analysis of Self-Attention and its Reconstruction from Partial Computation.

Srinadh Bhojanapalli, Ayan Chakrabarti, Himanshu Jain, Sanjiv Kumar, Michal Lukasik, Andreas Veit

CoRR, 2021

XR Hackathon Going Online: Lessons Learned from a Case Study with Goethe-Institute.

Wieslaw Kopec, Kinga Skorupska, Anna Jaskulska, Michal Lukasik, Barbara Karpowicz, Julia Paluch, Kinga Kwiatkowska, Daniel Jablonski, Rafal Maslyk

Proceedings of the Digital Interaction and Machine Intelligence - Proceedings of MIDI'2021, 2021

2020

Scaling Graph Neural Networks with Approximate PageRank.

Aleksandar Bojchevski, Johannes Klicpera, Bryan Perozzi, Amol Kapoor, Martin Blais, Benedek Rózemberczki, Michal Lukasik, Stephan Günnemann

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Does label smoothing mitigate label noise?

Michal Lukasik, Srinadh Bhojanapalli, Aditya Krishna Menon, Sanjiv Kumar

Proceedings of the 37th International Conference on Machine Learning, 2020

Semantic Label Smoothing for Sequence to Sequence Problems.

Michal Lukasik, Himanshu Jain, Aditya Krishna Menon, Seungyeon Kim, Srinadh Bhojanapalli, Felix X. Yu, Sanjiv Kumar

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Text Segmentation by Cross Segment Attention.

Michal Lukasik, Boris Dadachev, Kishore Papineni, Gonçalo Simões

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Gaussian Processes for Rumour Stance Classification in Social Media.

Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Arkaitz Zubiaga, Maria Liakata, Rob Procter

ACM Trans. Inf. Syst., 2019

2018

Discourse-aware rumour stance classification in social media using sequential classifiers.

Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Isabelle Augenstein

Inf. Process. Manag., 2018

A Bayesian Point Process Model for User Return Time Prediction in Recommendation Systems.

Sherin Thomas, P. K. Srijith, Michal Lukasik

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

Content Explorer: Recommending Novel Entities for a Document Writer.

Michal Lukasik, Richard Zens

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Probabilistic modeling of rumour stance and popularity in social media.

Michal Lukasik

PhD thesis, 2017

Longitudinal Modeling of Social Media with Hawkes Process Based on Users and Networks.

P. K. Srijith, Michal Lukasik, Kalina Bontcheva, Trevor Cohn

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016

Computational Approach to Dendritic Spine Taxonomy and Shape Transition Analysis.

Grzegorz Bokota, Marta Magnowska, Tomasz Kusmierczyk, Michal Lukasik, Matylda Roszkowska, Dariusz Plewczynski

Frontiers Comput. Neurosci., 2016

Using Gaussian Processes for Rumour Stance Classification in Social Media.

Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Arkaitz Zubiaga, Maria Liakata, Rob Procter

CoRR, 2016

Stance Classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversations.

Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik

Proceedings of the COLING 2016, 2016

Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter.

Michal Lukasik, P. K. Srijith, Duy Vu, Kalina Bontcheva, Arkaitz Zubiaga, Trevor Cohn

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Metrics for Evaluation of Word-level Machine Translation Quality Estimation.

Varvara Logacheva, Michal Lukasik, Lucia Specia

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Convolution Kernels for Discriminative Learning from Streaming Text.

Michal Lukasik, Trevor Cohn

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Estimating collective judgement of rumours in social media.

Michal Lukasik, Trevor Cohn, Kalina Bontcheva

CoRR, 2015

Modeling Tweet Arrival Times using Log-Gaussian Cox Processes.

Michal Lukasik, P. K. Srijith, Trevor Cohn, Kalina Bontcheva

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Classifying Tweet Level Judgements of Rumours in Social Media.

Michal Lukasik, Trevor Cohn, Kalina Bontcheva

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Point Process Modelling of Rumour Dynamics in Social Media.

Michal Lukasik, Trevor Cohn, Kalina Bontcheva

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2013

Hierarchical, Multi-label Classification of Scholarly Publications: Modifications of ML-KNN Algorithm.

Michal Lukasik, Tomasz Kusmierczyk, Lukasz Bolikowski, Hung Son Nguyen

Proceedings of the Intelligent Tools for Building a Scientific Information Platform, 2013

Comparing Hierarchical Mathematical Document Clustering against the Mathematics Subject Classification Tree.

Tomasz Kusmierczyk, Michal Lukasik, Lukasz Bolikowski, Hung Son Nguyen

Proceedings of the Intelligent Tools for Building a Scientific Information Platform, 2013

Threshold ML-KNN: Statistical Evaluation on Multiple Benchmarks.

Michal Lukasik, Marcin Sydow

Proceedings of the Language Processing and Intelligent Information Systems, 2013

Multiobjective Differential Evolution: A Comparative Study on Benchmark Problems.

Indrajit Saha, Ujjwal Maulik, Michal Lukasik, Dariusz Plewczynski

Proceedings of the Man-Machine Interactions 3, 2013

Generic Framework for Simulation of Cognitive Systems: A Case Study of Color Category Boundaries.

Dariusz Plewczynski, Michal Lukasik, Konrad Kurdej, Julian Zubek, Franciszek Rakowski, Joanna Raczaszek-Leonardi

Proceedings of the Man-Machine Interactions 3, 2013

2012

Evaluation of Features for Author Name Disambiguation Using Linear Support Vector Machines.

Piotr Jan Dendek, Lukasz Bolikowski, Michal Lukasik

Proceedings of the 10th IAPR International Workshop on Document Analysis Systems, 2012