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Oral
Tue Jun 11 04:00 PM -- 04:20 PM (PDT) @ Grand Ballroom
Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm
Oral
Tue Jun 11 04:20 PM -- 04:25 PM (PDT) @ Grand Ballroom
Sublinear Time Nearest Neighbor Search over Generalized Weighted Space
Oral
Tue Jun 11 04:25 PM -- 04:30 PM (PDT) @ Grand Ballroom
Compressing Gradient Optimizers via Count-Sketches
Oral
Tue Jun 11 04:30 PM -- 04:35 PM (PDT) @ Grand Ballroom
Scalable Fair Clustering
Oral
Tue Jun 11 04:35 PM -- 04:40 PM (PDT) @ Grand Ballroom
Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator
Oral
Tue Jun 11 04:40 PM -- 05:00 PM (PDT) @ Grand Ballroom
Fault Tolerance in Iterative-Convergent Machine Learning
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Video]
Oral
Tue Jun 11 05:00 PM -- 05:05 PM (PDT) @ Grand Ballroom
Static Automatic Batching In TensorFlow
Oral
Tue Jun 11 05:05 PM -- 05:10 PM (PDT) @ Grand Ballroom
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
Oral
Tue Jun 11 05:10 PM -- 05:15 PM (PDT) @ Grand Ballroom
Memory-Optimal Direct Convolutions for Maximizing Classification Accuracy in Embedded Applications
Oral
Tue Jun 11 05:15 PM -- 05:20 PM (PDT) @ Grand Ballroom
DL2: Training and Querying Neural Networks with Logic