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Oral
Wed Jun 12 08:00 AM -- 08:20 AM (KST) @ Grand Ballroom
Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm
Oral
Wed Jun 12 08:20 AM -- 08:25 AM (KST) @ Grand Ballroom
Sublinear Time Nearest Neighbor Search over Generalized Weighted Space
Oral
Wed Jun 12 08:25 AM -- 08:30 AM (KST) @ Grand Ballroom
Compressing Gradient Optimizers via Count-Sketches
Oral
Wed Jun 12 08:30 AM -- 08:35 AM (KST) @ Grand Ballroom
Scalable Fair Clustering
Oral
Wed Jun 12 08:35 AM -- 08:40 AM (KST) @ Grand Ballroom
Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator
Oral
Wed Jun 12 08:40 AM -- 09:00 AM (KST) @ Grand Ballroom
Fault Tolerance in Iterative-Convergent Machine Learning
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Video]
Oral
Wed Jun 12 09:00 AM -- 09:05 AM (KST) @ Grand Ballroom
Static Automatic Batching In TensorFlow
Oral
Wed Jun 12 09:05 AM -- 09:10 AM (KST) @ Grand Ballroom
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
Oral
Wed Jun 12 09:10 AM -- 09:15 AM (KST) @ Grand Ballroom
Memory-Optimal Direct Convolutions for Maximizing Classification Accuracy in Embedded Applications
Oral
Wed Jun 12 09:15 AM -- 09:20 AM (KST) @ Grand Ballroom
DL2: Training and Querying Neural Networks with Logic
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