Reading Group

A reference document used to keep track of the reading group meetings. Pull requests are welcome. Meeting Link

Schedule 2021

Date	Presenter	Paper	Why should we care	Appear in	Repo	Blogs
29/03/21	Dima Galat	Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation	Good introduction to student-teacher models and forcing the vector mapping	EMNLP 2020	1 2	1
12/04/21	Duy Khuu	In defense of pseudo-labeling: An uncertainty-aware pseudo-label selection framework for semi-supervised learning	Introduction to pseudo-labeling and its potential issues along with a proposal for a better performing variant	ICLR 2021
19/04/21	Andrew Law	ConStance: Modeling Annotation Contexts to Improve Stance Classification	Introduction to issues with manual data annotation and proposes a model for reasoning about annotations with different contexts	EMNLP 2017
26/04/21	Quyu Kong	PhD conclusion talk dry-run
03/05/21	Marian-Andrei Rizoiu	Adversarial vulnerabilities of human decision-making	Adversarial learning to guide sequential human decision making	PNAS'20	1
10/05/21	Rohit Ram	The Social Dynamics of Language Change in Online Networks	Tracks language change through social influence and determines importance of (diverse) features to social influence using Parametric Hawkes	SocInfo'16
17/05/21	Frankie Yuan	All You Need is “Love”: Evading Hate Speech Detection	Simple but effective adversarial attacks on word and character based hate speech classification models. paper link	AISec 2018
24/05/21	Thomas Willingham	Generating Datasets with Pretrained Language Models	leveraging large well-trained generative language models (e.g GPT2) for creating labelled data to fine-tune semantic embedders and comes with code and all	Computing Research Repository	1
31/05/21	–	No group reading. Public holiday in Canberra (Reconciliation Day)
07/06/21	Pio Calderon	Learning Multivariate Hawkes Processes at Scale	Scalable and exact approach to train multivariate Hawkes processes in large-scale domains	WWW21	1
14/06/21	–	No group reading. Public holiday (Queen's Birthday)
21/06/21	Quyu Kong	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	Meta-learning allows to adapt to new tasks quickly with a few samples	ICML'17	1
28/06/21	Rohit Ram, Andrew Law, and Marian-Andrei Rizoiu	3MT Series
05/07/21	Andrew Law	Characterizing Online Discussion Using Coarse Discourse Sequences	Characterizes different types of online discussions (Q&A, arguments etc.) through analyzing patterns of discourse and produces a classifier for predicting discourse acts.	ICWSM 2017
12/07/21	Rohit Ram	A General Method to Find Highly Coordinating Communities in Social Media through Inferred Interaction Links
19/07/21	Duy Khuu	The Benchmark Lottery	Overview of current issues related to ranking models and benchmarks, along with proposals for how we can produce better benchmarks	Submitted to NeurIPS 2021
26/07/21	Duy Khuu, Pio Calderon, and Quyu Kong	3MT Series
02/08/21	Pio Calderon	Is Gang Violent Crime More Contagious than Non‑Gang Violent Crime?	Modelling the spatiotemporal dynamics of gang/non-gang crime contagion with multivariate Hawkes	Journal of Quantitative Criminology
09/08/21	Frankie Yuan	Detecting Troll Behavior via Inverse Reinforcement Learning: A Case Study of Russian Trolls in the 2016 US Election	Detection and analysis of Russian troll behaviour and insentives using inverse reinforcement learning.	ICWSM 2020	1
16/08/21	Dima Galat	All That's ‘Human’ Is Not Gold: Evaluating Human Evaluation of Generated Text	An actionable proposal on how evaluations should be conducted	ACL21
23/08/21	Thomas Willinghanm, Dima Galat, and Frankie Yuan	3MT Series
30/08/21	Marian-Andrei Rizoiu	TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP	A Python package to perform adversarial attacks for a number of tasks. It also allow adversarial training.	EMNLP’20 Demo	1
06/09/21	Thomas Willingham	Disrupting Model Training with Adversarial Shortcuts	An approach to deliberately poisoning datasets for privacy or competitive purposes	ICML2021
13/09/21	Andrew Law	Honours mid-term talk dry run
20/09/21	–	No group reading. UTS Recharge day leave
27/09/21	Quyu Kong	Identifying Coordinated Accounts on Social Media through Hidden Influence and Group Behaviours	Detect coordinated accounts by jointly modeling account activities and hidden group behaviours based on Temporal Point Processes (TPP) and Gaussian Mixture Model (GMM).	KDD'21	1
04/10/21	–	No group reading. Public holiday (Labour Day)
11/10/21	Callum Pastuszak	Using a Personality-Profiling Algorithm to Investigate Political Microtargeting: Assessing the Persuasion Effects of Personality-Tailored Ads on Social Media	Demonstrates how personality profiling algorithms can be used to target political ads at individuals on an online setting increasing their receptiveness to vote	Sage Journal
18/10/21	Duy Khuu	Online discussion threads as conversation pools: predicting the growth of discussion threads on reddit	Generative approach to model conversation pools on Reddit	Computational and Mathematical Organization Theory	1
25/10/21	Thomas Willinghanm	Honours final talk dry run
01/11/21	Duy Khuu	Honours final talk dry run
08/11/21	Andrew Law	Honours final talk dry run
15/11/21	Pio Calderon	Simple discrete-time self-exciting models can describe complex dynamic processes: A case study of COVID-19	A discrete-time Hawkes process to model mortality counts during two phases of the COVID19 outbreak	PLOS One
22/11/21	–	No reading group! Andrei decided to conveniently skip his turn and go on leave.
29/11/21	Rohit Ram	CA1 Dry Run
06/12/21	Quyu Kong
13/12/21	Pio Calderon
20/12/21	Marian-Andrei Rizoiu
27/12/21	Dima Galat
03/01/22	Frankie Yuan
10/01/22	Andrew Law
17/01/22	Rohit Ram
24/01/22	Dima Galat