Fall 2020 Reading Schedule

Reading Schedule for Fall 2020

	Date	Presenter	Paper
17	9/3	mithun	Zero-shot Text Classification via Reinforced Self-training
15	9/10	Jiacheng	Theoretical Limitations of Self-Attention in Neural Sequence Models. Transformers sucks, proved mathematically
13	9/17	Zheng	Beyond Accuracy: Behavioral Testing of NLP Models with CheckList
10	9/24	Andrew	Minimally Supervised Number Normalization
22	10/1	Sandeep	Distilling the Evidence to Augment Fact Verification Models
7	10/8	Vikas	An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction
19	10/15	Fan	Transformers as Soft Reasoners over Language
18	10/22	Peter L	Generalization through Memorization: Nearest Neighbor Language Models
20	10/29	Zhengzhong	Unified Pragmatic Models for Generating and Following Instructions
9	11/5	Masha	A Graph-based Coarse-to-fine Method for Unsupervised Bilingual Lexicon Induction
8	11/12	Yiyun	Probing Linguistic Systematicity
1	11/19	Steven or Steven's student	Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks
5	12/3	Mihai	Dekang Lin's DIRT paper