Class Schedule and Readings
| |
Presenters |
Papers |
|
| 01/22/2018 |
Aman Ahuja |
Deconvolutional Paragraph Representation Learning (NIPS 2017) |
Paper, Slides |
| |
Aman Ahuja |
Latent LSTM Allocation: Joint clustering and non-linear dynamic modeling of sequence data (ICML 2017) |
Paper, Slides |
| |
Tian Shi |
Get To The Point: Summarization with Pointer-Generator Networks (ACL 2017) |
Paper, Slides |
| 01/29/2018 |
Tian Shi |
A Deep Reinforced Model for Abstractive Summarization (ICLR 2018 - under review) |
Paper, Slides |
| |
Tian Shi |
Adversarial Feature Matching for Text Generation (ICML 2017) |
Paper, Slides |
| |
Mohammad Raihanul Islam |
DeepWalk: Online Learning of Social Representations (KDD 2014) |
Paper, Slides |
| |
Mohammad Raihanul Islam |
LINE: Large-scale Information Network Embedding (WWW 2015) |
Paper, Slides |
| |
Mohammad Raihanul Islam |
node2vec: Scalable feature learning for networks (KDD 2016) |
Paper, Slides |
| |
Mohammad Raihanul Islam |
Structural Deep Network Embedding (KDD 2016) |
Paper, Slides |
| 02/05/2018 |
Sina Dabiri |
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs (NIPS 2017) |
Paper, Slides |
| |
Sina Dabiri |
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (AAAI 2017) |
Paper, Slides |
| |
Yufeng Ma |
Understanding Black-box Predictions via Influence Functions (ICML 2017) |
Paper, Slides |
| |
Anika Tabassum |
Dilated Recurrent Neural Network (NIPS 2017) |
Paper, Slides |
| 02/12/2018 |
Subhodip Biswas |
Deep Learning based Recommender System: A Survey and New Perspectives (ArXiv 2017) |
Paper, Slides |
| |
Subhodip Biswas |
Neural Collaborative Filtering (WWW 2017) |
Paper, Slides |
| |
Xuan Zhang |
Generating wikipedia by summarizing long sequences (ICLR 2018) |
Paper, Slides |
| |
Xuan Zhang |
Dynamic Coattention Networks For Question Answering (ICLR 2017) |
Paper, Slides |
| 02/19/2018 |
Ping Wang |
Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks (NIPS 2017) |
Paper, Slides |
| |
Ping Wang |
Scalable and accurate deep learning for electronic health records (ArXiv 2018) |
Paper, Slides |
| |
Nikhil Muralidhar |
Anomaly Detection with Robust Deep Auto-encoders (KDD 2017) |
Paper, Slides |
| |
Xu Dong |
Deep Learning in Medical Image Analysis (Biomed Eng 2017) |
Paper, Slides |
| 02/26/2018 |
Mengmeng Cai |
Autoregressive Convolutional Neural Networks for Asynchronous Time Series (ArXiv 2017) |
Paper, Slides |
| |
Yu Wang |
Collecting and Analyzing Millions of mHealth Data Streams (KDD 2017) |
Paper, Slides |
| |
Yefeng Ma |
Convolutional Sequence to Sequence Learning (ICML 2017) |
Paper, Slides |
| |
Yefeng Ma |
Attention Is All You Need (NIPS 2017) |
Paper, Slides |
| 03/05/2018 |
Assad Moini |
Adversarial Examples |
Paper, Slides |
| 03/19/2018 |
Sergio Sainz-Palacios |
Value Iteration Networks |
Paper, Slides |
| |
Sergio Sainz-Palacios |
Value Prediction Network |
Paper, Slides |
| |
Nikhil Muralidhar |
Deep Learning for IoT Big Data and Streaming Analytics: A Survey |
Paper, Slides |
| |
Amirsina Torfi |
Character-level Convolutional Networks for Text Classification |
Paper, Slides |
| |
Amirsina Torfi |
Learning Structured Sparsity in Deep Neural Networks |
Paper, Slides |
| 03/26/2018 |
Yu Wang |
Multimodal Machine Learning: A Survey and Taxonomy |
Paper, Slides |
| |
Khoa Doan |
Counterfactual Inference |
Paper, Slides |
| |
Debanjan Datta |
Recurrent Neural Networks for Multivariate Time Series with Missing Values |
Paper, Slides |
| |
Debanjan Datta |
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction |
Paper, Slides |
| 04/02/2018 |
Mohammad Raihanul Islam |
Recurrent Marked Temporal Point Processes: Embedding Event History to Vector |
Paper, Slides |
| |
Mohammad Raihanul Islam |
Wasserstein Learning of Deep Generative Point Process Models |
Paper, Slides |
| |
Liuqing Li |
A Structured Self-attentive Sentence Embedding (ICLR 2017) |
Paper, Slides |
| |
Yaser Kaneshloo |
Reinforcement Learning in Seq2Seq Models |
Paper, Slides |
| |
Sneha Mehta |
Adversarial Multi-Task Learning for Text Classification (ACL 2017) |
Paper, Slides |
| |
Sneha Mehta |
Deep Multi-Task learning with Shared Memory (ACL 2016) |
Paper, Slides |
| 04/09/2018 |
Liuqing Li |
Dynamic Routing Between Capsules (NIPS 2017) |
Paper, Slides |
| |
Liuqing Li |
Recurrent Convolutional Neural Networks for Text Classification (AAAI 2015) |
Paper, Slides |
| 04/16/2018 |
Khoa Doan |
Understanding deep learning requires rethinking generalization (Arxiv 2017) |
Paper, Slides |
| |
Mengmeng Cai |
Imagination-Augmented Agents for Deep Reinforcement Learning (NIPS 2018) |
Paper, Slides |