A reference document used to keep track of the reading group meetings. Pull requests are welcome. Meeting Link
| Date | Presenter | Paper | Why should we care | Appear in | Repo | Blogs |
|---|---|---|---|---|---|---|
| 10/1/2022 | Pio Calderon | Correlated Cascades: Compete or cooperate | A model of behavior adoption in the presence of multiple cooperating or competing products | AAAI 2017 | 1 | |
| 17/01/22 | Marian-Andrei Rizoiu | End-of-history illusion | A series of psychological studies that show that humans are not able to predict how much they will change in the future. | Science 2013 | TED talk | |
| 24/01/22 | Dima Galat | Synthesizing Adversarial Negative Responses for Robust ResponseRanking and Evaluation | Context dependent garbage in - strong predictor out | ACL2021 | 1 | |
| 31/01/22 | Frankie Yuan | Challenges in Detoxifying Language Models | Side effects of trying to prevent certain language in language models | Findings of EMNLP 2021 | ||
| 7/2/2022 | Rohit Ram | Polarization and tipping points | An explanation for political polarization and why it might be difficult to reverse | PNAS | https://github.com/mongooma/polarizationTipping | |
| 14/02/22 | Quyu Kong | Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences | A model to retrieve and rank a relevant set of event sequences for a given query sequence | AAAI 2022 | 1 | |
| 21/02/22 | Callum Pastuszak | Multi-modal Identification of State-Sponsored Propaganda on Social Media | A model for detecting state sponsored propaganda on Twitter combining textual and visual analysis | ICPR 2020 | ||
| 28/02/22 | Rohit Ram | Polarized Ukraine 2014: opinion and territorial split demonstrated with the bounded confidence XY model parametrized by Twitter data | RSOS | demo | ||
| 7/3/2022 | Pio Calderon | Modeling Adoption and Usage of Competing Products | An extension of multivariate Hawkes to model the adoption and frequency of use of competing products | ICDM 2015 | ||
| 14/03/22 | Daniela Elia | Ontology-guided Job Market Demand Analysis: A Cross-Sectional Study for the Data Science field | An Ontology-based Information Extraction (OBIE) method for job and skill data | Semantics2017 | ||
| 21/03/22 | – | No group meeting; TRP intensive course for several students. | ||||
| 28/03/22 | Marian-Andrei Rizoiu | Misinformation in and about science | A sharp and sober overview of what can go wrong in science and publishing: from predatory journal to salami publishing and p-value hacking. | PNAS | tools for calling bullsh*t | |
| 4/4/2022 | Pio Calderon | CA1 dry run | ||||
| 11/4/2022 | Frankie Yuan | Racism is a virus: anti-asian hate and counterspeech in social media during the COVID-19 crisis | Labelling and analysis of interaction between hatespeech and counterspeech during the COVID-19 pandemic | ASONAM 2021 | repo | |
| 18/04/22 | – | No group meeting: public holiday (Easter Monday) | ||||
| 25/04/22 | – | No group meeting: public holiday (ANZAC day) | ||||
| 2/5/2022 | Amelie Girard | Fast Sparse Decision Tree Optimization via Reference Ensembles | Decision Trees are a family of interpretable models. When Models are used for high Stake decisions they need to be vetted properly | AAAI 2022 | 1 | |
| 9/5/2022 | Quyu Kong | CCGL: Contrastive Cascade Graph Learning | A novel framework for information cascade graph learning in a contrastive self-supervised and task-agnostic way. | TKDE 2022 | 1 | |
| 16/05/22 | – | No group meeting: 3MT presentations for compulsory coursework for half of the group. | ||||
| 23/05/22 | Callum Pastuszak | The many dimensions of truthfulness: Crowdsourcing misinformation assessments on a multidimensional scale | Comparing the effectiveness of crowdsourced fact-checking vs expert fact-checking | IP&M 2021 | ||
| 30/05/22 | Amelie Girard | Bias in data-driven artificial intelligence systems—An introductory survey | The goal of this survey is to provide a broad multidisciplinary overview of the area of bias in AI systems and to focus on technical challenges and solutions as well as to suggest new research directions towards approaches well-grounded in a legal frame | European Commission Grant/Award | ||
| 6/6/2022 | Marian-Andrei Rizoiu | Network constraints on worker mobility | The paper proposes an employment-weighted embeddedness measure that the authors show is correlated with wage premium and optimized over the worker’s career. | Nature Human Behavior | ||
| 13/06/22 | – | No group meeting: public holiday (Queen’s birthday) | ||||
| 20/06/22 | Daniela Elia | Using LinkedIn Endorsements to Reinforce an Ontology and Machine Learning-Based Recommender System to Improve Professional Skills | This paper presents a Lifelong Learning course recommendation system that incorporates LinkedIn endorsements | |||
| 27/06/22 | Frankie Yuan | Reinforcement Guided Multi-Task Learning Framework for Low-Resource Stereotype Detection | Interesting model framework which trains an RL agent to select training instances for transfer learning. | ACL 2022 | ||
| 4/7/2022 | – | No group meeting (wild weather) | ||||
| 11/7/2022 | – | BDS social event: Gaddie pitching and project matching & VR room | ||||
| 18/07/22 | Rohit Ram | TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding | A method for recovering political ideology based on different relations graphs based on a GCN approach. | KDD20 | https://github.com/PatriciaXiao/TIMME | |
| 25/07/22 | Elaine Gong | The building blocks of economic complexity | ||||
| 1/8/2022 | Pio Calderon | Information Interaction Profile of Choice Adoption | A method to estimate the interaction profile between entities given sequences of contagions and exposures | ECML PKDD 2021 | https://github.com/GaelPouxMedard/InterRate | |
| 8/8/2022 | Guest lecture: Swapnil Mishra | Title: Machine Learning; Bayesian Inference and Point Processes for Public Good: Understanding and quantifying the uncertainty | Bio: Assistant Professor at University of Copenhagen (UCPH) working at intersection of public health; machine learning and Bayeasian modelling. Before that he was a Post-doc at School of Public Health @ Imperial College London | Machine Learning & Global Health Network (mlgh.net) | ||
| 15/08/22 | Daniela Elia | |||||
| 22/08/22 | Guest lecture: Philipp Schneider | Title: Cross-Excitation and Influence Pathways in Networks: Propagation of COVID-19 and Public Intervention in Switzerland | Bio: PhD student at the chair of Operations, Economics and Strategy at EPFL in Switzerland. Philipp’s current work focuses on leveraging data, optimization, and machine learning, to solve practical problems that matter to society. | |||
| 29/08/22 | Frankie Yuan | |||||
| 5/9/2022 | Amelie Girard | Whose Advantage? Measuring Attention Dynamics across YouTube and Twitter on Controversial Topics | This paper present a quantitative study that links collective attention across two social platforms – YouTube and Twitter centered on online activities surrounding popular videos of three controversial political topics including Abortion & Gun control and Black Lives Matter over 16 months. | ICWSM2022 | repo | |
| 12/9/2022 | Rohit Ram | |||||
| 19/09/22 | Elaine Gong | |||||
| 26/09/22 | Pio Calderon | |||||
| 3/10/2022 | Marian-Andrei Rizoiu | |||||
| 10/10/2022 | Daniela Elia | |||||
| 17/10/22 | – | No group meeting: public holiday (Labour Day) | ||||
| 24/10/22 | Frankie Yuan | |||||
| 31/10/22 | Amelie Girard | |||||
| 7/11/2022 | Rohit Ram | |||||
| 14/11/22 | Elaine Gong | |||||
| 21/11/22 | Pio Calderon | |||||
| 28/11/22 | Marian-Andrei Rizoiu | |||||
| 5/12/2022 | Daniela Elia | |||||
| 12/12/2022 | Frankie Yuan | |||||
| 19/12/22 | Amelie Girard | |||||
| Rohit Ram | ||||||
| Elaine Gong |