Reading Group @ DMG
- Everyone needs to present & attend;
- Four papers a week (four presenters);
- TIme & Location: Wed @ SC 2124 (or 2102 if occupied).
- Modify this readme file, but instead of committing directly to the
masterbranch, please create a new branch and start a pull request (like a proposal). - Everyone can only submit pull requests or merge pull requests from others (every proposal needs a second).
- The order of presentations would be decided in the alphabet order (of presenters).
IMPORTANT: you need to approve before merging the pull request.
- Jiaxin Huang
- Jieyu Zhang
- Jingbo Shang
- Liyuan Liu
- Qi Zhu
- Shi Zhi
- Xiaotao Gu
- Xingyu Fu
- Xinyang Zhang
- Yu Zhang
- Zihan Wang
- Zoey Li
- RESIDUAL GATED GRAPH CONVNETS: Xingyu Fu
- Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks: Xinyang Zhang
- Cross-Sentence N-ary Relation Extraction with Graph LSTMs: Yu Zhang
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models: Jieyu Zhang
- The Unreasonable Effectiveness of (Zero) Initialization in Deep Residual Learning
- mixup: BEYOND EMPIRICAL RISK MINIMIZATION
- Dropout is a special case of the stochastic delta rule: faster and more accurate deep learning
- Excitation Dropout: Encouraging Plasticity in Deep Neural Networks
- Neural Cross-lingual Named Entity Recognition with Minimal Resources
- Multi-View Intact Space Learning
- Co-teaching: Robust Training Deep Neural Networks with Extremely Noisy Labels
- MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels
- Essentially No Barriers in Neural Network Energy Landscape
- Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent
- How Powerful Are Graph Neural Networks?
- Relational inductive biases, deep learning, and graph networks: Fang Guo
- GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations: Qi Zhu
- Labeling Gaps Between Words:Recognizing Overlapping Mentions with Mention Separators: Shi Zhi
- Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry: Xiaotao Gu
- Nested Named Entity Recognition Revisited: Liyuan Liu
- A Neural Layered Model for Nested Named Entity Recognition: Liyuan Liu
- A Neural Layered Model for Nested Named Entity Recognition: Liyuan Liu
- A Neural Transition-based Model for Nested Mention Recognition: Liyuan Liu
- DARTS: Differentiable Architecture Search: Zihan Wang