Restricted Boltzmann Machines for Collaborative Filtering
Deep learning enables rapid identification of potent DDR1 kinase inhibitors
Robust Contextual Models for In-Session Personalization
Defending Against Fake Neural News
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning
Overview of Semi-supervised learning
Top-K Off-Policy Correction for a REINFORCE Recommender System
How Can We Be So Dense? The Benefits of Using Highly Sparse Representations
Attention U-Net: Learning Where to Look for the Pancreas
Towards an LSTM-based Predictive Framework for Literature-based Knowledge Discovery
Location Intelligence Products: Goals and Challenges
RecSys, Reverse Engineering User's Needs and Desires
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities
DeepStack: Expert-Level Artificial Intelligence in Heads-Up No-Limit Poker
AISC Abstract Night September Edition
Overview of Machine Learning Operations on the Cloud
CNN Architectures for Large-Scale Audio Classification
[Gated-SCNN] Gated Shape CNNs for Semantic Segmentation
[EigenDamage] EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis
Lookahead Optimizer: k steps forward, 1 step back
Similarity of neural network representations revisited
Detecting Customer Complaint Escalation with Recurrent Neural Networks and Manually-Engineered Features
Graph Normalizing Flows
Object Instance Annotation with Deep Extreme Level Set Evolution
[Curve-GCN] Fast Interactive Object Annotation with Curve-GCN
Making of A Conversational Agent Platform
A Survey of Machine Learning with Singular Models
Overview of Reinforcement Learning