[1:15]
Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations
[1:20]
On the Effects of Artificial Data Modification
[1:25]
Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA Storage
[1:30]
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
[1:35]
Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass
[1:40]
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective
[2:05]
Describing Differences between Text Distributions with Natural Language
[2:10]
Distinguishing rule- and exemplar-based generalization in learning systems
[2:15]
Burst-Dependent Plasticity and Dendritic Amplification Support Target-Based Learning and Hierarchical Imitation Learning
[2:20]
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications
[2:25]
Minimizing Control for Credit Assignment with Strong Feedback
[2:30]
Self-Supervised Models of Audio Effectively Explain Human Cortical Responses to Speech
[2:35]
Towards Scaling Difference Target Propagation by Learning Backprop Targets
[2:40]
Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold