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Oral
Wed Dec 09 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Deep Learning
Ultra-Low Precision 4-bit Training of Deep Neural Networks
[ Paper ]
Oral
Wed Dec 09 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Deep Learning
Reservoir Computing meets Recurrent Kernels and Structured Transforms
[ Paper ]
Oral
Wed Dec 09 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Deep Learning
The interplay between randomness and structure during learning in RNNs
[ Paper ]
Spotlight
Wed Dec 09 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Deep Learning
What if Neural Networks had SVDs?
[ Paper ]
Spotlight
Wed Dec 09 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Deep Learning
Practical Quasi-Newton Methods for Training Deep Neural Networks
[ Paper ]
Spotlight
Wed Dec 09 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Deep Learning
Triple descent and the two kinds of overfitting: where & why do they appear?
[ Paper ]
Spotlight
Wed Dec 09 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Deep Learning
On the linearity of large non-linear models: when and why the tangent kernel is constant
[ Paper ]
Q&A
Wed Dec 09 07:40 AM -- 07:50 AM (PST)
Joint Q&A for Preceeding Spotlights
Spotlight
Wed Dec 09 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Deep Learning
Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy
[ Paper ]
Spotlight
Wed Dec 09 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Deep Learning
Proximal Mapping for Deep Regularization
[ Paper ]
Spotlight
Wed Dec 09 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Deep Learning
BoxE: A Box Embedding Model for Knowledge Base Completion
[ Paper ]
Q&A
Wed Dec 09 08:20 AM -- 08:30 AM (PST)
Joint Q&A for Preceeding Spotlights