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Fish Tung @UCr0GBvqLzVqxFpnKX3TT88A@youtube.com

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47:05
Linda Smith | Common sense and the visual experiences of toddlers
47:14
Bruno Olshausen | How far are we from the common sense of a jumping spider?
38:18
Jitendra Malik | Turing's Baby
39:33
Larry Zitnick | What is the right question to ask?
38:34
Alison Gopnik | Children are MESSes - Model Building Exploratory Social Learning Systems
01:07:16
Panel Discussion | CVPR 2020 MVM Workshop
12:32
Oral paper: Response Time Analysis for Explainability of Visual Processing (Eric Taylor)
12:08
Oral Paper: Visual Commonsense Representation Learning via Causal Inference (Tan Wang)
52:00
Josh Tenenbaum | Reverse-engineering core common sense
12:43
Oral Paper: Learning to Learn Words from Visual Scenes (Dídac Surís and Dave Epstein)
41:42
Dan Yurovsky | Toddlers' common sense operates in socially-supported contexts
35:17
Aude Oliva | Cognitive Insights for Models of Visual Recognition
50:19
Elizabeth Spelke | What infants know (and don't know)
04:11
Opening Remarks
06:42
3DQ-Nets: Visual Concepts Emerge in Pose Equivariant 3D Quantized Neural Scene Representations
04:33
5 mins spotlight: Learning Intuitive Physics by Explaining Surprise
05:00
5 mins spotlight: Learning to Learn Words from Visual Scenes
04:55
5 mins spotlight: SomethingFinder: Localizing undefined regions using referring expressions
05:19
5 mins spotlight: Understanding Knowledge Gaps in Visual Question Answering
04:49
5 mins spotlight: Visual Commonsense Representation Learning via Causal Inference
04:58
5 mins spotlight: Story Completion with Explicit Modeling of Commonsense Knowledge
05:00
5 mins spotlight: Oops! Predicting Unintentional Action in Video
04:56
5 mins spotlight: Hierarchical Color Learning in Convolutional Neural Networks
01:02:02
10-401 recitation (Jan 20 2016)
07:13
P1010402
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P1010404
07:11
P1010405
06:57
P1010406
07:01
P1010403
07:17
P1010408
07:21
P1010409
07:19
P1010407
06:20
P1010411
07:09
P1010401
07:14
P1010410
01:09:53
Final Presentation 1 (22) -- Machine Learning 10-715 Fall 2015
01:17:46
Big data and scalability (21) - Machine Learning 10-715 Fall 2015
01:15:57
VC dimension, Manifold Learning (20) - Machine Learning 10-715 Fall 2015
01:19:13
Bayes Classifier (19) - Machine Learning 10-715 Fall 2015
01:17:11
Learning Theory (18) - Machine Learning 10-715 Fall 2015
01:18:55
ICA, Manifold Learning(13) - Machine Learning 10-715 Fall 2015
01:14:39
Latent Space Model, ICA(12) - Machine Learning 10-715 Fall 2015
01:14:12
Gaussian Process(11) - Machine Learning 10-715 Fall 2015
01:16:46
EM, PCA(7) - Machine Learning 10-715 Fall 2015
01:09:36
Clustering (6) - Machine Learning 10-715 Fall 2015
01:17:04
Clustering (5) - Machine Learning 10-715 Fall 2015
01:07:27
Deep Learning (4) - Machine Learning 10-715 Fall 2015
09:28
Soup-or-Fiish-all [Introduction]
14:13
FGT Android Game ------ CASTLE BUSTLE
07:42
FGT Android Game ---- CASTLE BUSTLE (For details : http://www.youtube.com/watch?v=3wTgpNbiF4A)