Deep Learning is an interesting new branch of machine learning where neural networks consisting of multiple layers have shown new generalization capabilities. The seminar will look at advances in both general deep learning approaches, and at the specific case of Neural Machine Translation (NMT). NMT is a new paradigm in data-driven machine translation. In Neural Machine Translation, the entire translation process is posed as an end-to-end supervised classification problem, where the training data is pairs of sentences and the full sequence to sequence task is handled in one model.
Here is a link to last semester's seminar.
There is a Munich interest group for Deep Learning, which has an associated mailing list, the paper announcements are sent out on this list. See the link here.
Email Address: Put Last Name Here @cis.uni-muenchen.de
CIS, LMU Munich
CIS, LMU Munich
Thursdays 14:45 (s.t.), location ZOOM ONLINE
You can install the zoom client or click cancel and use browser support (might not work for all browsers).
Contact Alexander Fraser if you need the zoom link.
New attendees are welcome. Read the paper and bring a paper or electronic copy with you, you will need to refer to it during the discussion.
Click here for directions to CIS.
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|April 7th, 2022||Runzhe Zhan, Xuebo Liu, Derek Wong, Lidia Chao (2021). Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation. AAAI.||paper||Wen (Lavine) Lai|
|April 21st, 2022||Jannis Vamvas, Rico Sennrich (2021). On the Limits of Minimal Pairs in Contrastive Evaluation. Blackbox NLP.||paper||Marion Di Marco|
|May 5th, 2022||Verna Dankers, Elia Bruni, Dieuwke Hupkes (2022). The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study. ACL.||paper||Prisca Piccirilli|
|May 12th, 2022||Yoshinari Fujinuma, Jordan Boyd-Graber, Katharina Kann (2022). Match the Script, Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Cross-lingual Transferability. ACL.||paper||Silvia Severini|
|June 2nd, 2022||Leonard Bärmann, Fabian Peller-Konrad, Stefan Constantin, Tamim Asfour, Alex Waibel (2021). Deep Episodic Memory for Verbalization of Robot Experience. IEEE Robotics Autom. Lett.||paper||Philipp Wicke|
|June 9th, 2022||Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams (2021). UnNatural Language Inference. ACL.||paper||Katerina Kalouli|
You can go back through the previous semesters by clicking on the link near the top of the page.