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15 November 2017
- 17:0117:01, 15 November 2017 diff hist +95 Modular Multitask Reinforcement Learning with Policy Sketches →References
- 16:4316:43, 15 November 2017 diff hist +105 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →References
14 November 2017
- 15:1315:13, 14 November 2017 diff hist +556 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Remarks and Critique
- 15:0115:01, 14 November 2017 diff hist +3 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Remarks and Critique
- 14:5514:55, 14 November 2017 diff hist +176 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →References
- 14:4614:46, 14 November 2017 diff hist +1 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Are explanations faithful to the model?
- 12:5412:54, 14 November 2017 diff hist +79 STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback →Policy Gradient Optimization using Natural Language Feedback
- 10:3310:33, 14 November 2017 diff hist +1 Imagination-Augmented Agents for Deep Reinforcement Learning →rollout policy
- 10:3210:32, 14 November 2017 diff hist −1 Imagination-Augmented Agents for Deep Reinforcement Learning →rollout policy
- 10:2910:29, 14 November 2017 diff hist +266 Imagination-Augmented Agents for Deep Reinforcement Learning →Insight
- 08:3108:31, 14 November 2017 diff hist 0 Dialog-based Language Learning →Related Work
13 November 2017
- 23:0823:08, 13 November 2017 diff hist +92 Dialog-based Language Learning →References
- 22:5822:58, 13 November 2017 diff hist +380 STAT946F17/ Coupled GAN →Applications
- 20:3520:35, 13 November 2017 diff hist +51 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Reference
- 20:2820:28, 13 November 2017 diff hist +83 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Reference
7 November 2017
- 15:0815:08, 7 November 2017 diff hist +162 FeUdal Networks for Hierarchical Reinforcement Learning →References
6 November 2017
- 08:4208:42, 6 November 2017 diff hist +430 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
4 November 2017
- 10:4410:44, 4 November 2017 diff hist +253 Convolutional Sequence to Sequence Learning →References
1 November 2017
- 16:0816:08, 1 November 2017 diff hist +1,392 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting No edit summary
31 October 2017
- 13:3713:37, 31 October 2017 diff hist +331 STAT946F17/ Learning Important Features Through Propagating Activation Differences →MNIST handwriting re-morphing
- 09:4009:40, 31 October 2017 diff hist −2 STAT946F17/ Learning Important Features Through Propagating Activation Differences →Failures of traditional methods
26 October 2017
- 13:4613:46, 26 October 2017 diff hist +175 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →References
24 October 2017
- 22:2522:25, 24 October 2017 diff hist +207 Universal Style Transfer via Feature Transforms →References
23 October 2017
- 18:2518:25, 23 October 2017 diff hist +217 Learning the Number of Neurons in Deep Networks →References
22 October 2017
- 00:3600:36, 22 October 2017 diff hist +2 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →Improvements/Considerations/Future Work
- 00:3200:32, 22 October 2017 diff hist +901 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition No edit summary
20 October 2017
- 09:2209:22, 20 October 2017 diff hist +464 Learning What and Where to Draw →Discussion
- 08:0208:02, 20 October 2017 diff hist −7 STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN →References
- 08:0108:01, 20 October 2017 diff hist +71 STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN →References
- 07:5507:55, 20 October 2017 diff hist +95 STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN →References
19 October 2017
- 07:2007:20, 19 October 2017 diff hist +8 f17Stat946PaperSignUp →Paper presentation
- 07:2007:20, 19 October 2017 diff hist −7 f17Stat946PaperSignUp →Paper presentation
- 07:1907:19, 19 October 2017 diff hist +95 N STAT946F17/cognitive psychology for deep neural networks a shape bias case study Vrrao moved page STAT946F17/cognitive psychology for deep neural networks a shape bias case study to STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study: Capitalizing the title current
- 07:1907:19, 19 October 2017 diff hist 0 m STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study Vrrao moved page STAT946F17/cognitive psychology for deep neural networks a shape bias case study to STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study: Capitalizing the title
18 October 2017
- 23:2423:24, 18 October 2017 diff hist −5 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Inductive Biases & Probe Data
- 23:2223:22, 18 October 2017 diff hist +163 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study No edit summary
- 23:1623:16, 18 October 2017 diff hist +565 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →References
- 23:0723:07, 18 October 2017 diff hist −5 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Learnings, Inferences & Implications
- 23:0723:07, 18 October 2017 diff hist −4 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Conclusion, Future Work and Open questions
- 23:0623:06, 18 October 2017 diff hist +2,495 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study No edit summary
- 22:2222:22, 18 October 2017 diff hist +15 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study STAT946F17/Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study
- 20:5920:59, 18 October 2017 diff hist +27 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study No edit summary
- 20:5420:54, 18 October 2017 diff hist 0 N File:3.3.PNG No edit summary current
- 20:5320:53, 18 October 2017 diff hist 0 N File:3.4.PNG No edit summary current
- 20:5320:53, 18 October 2017 diff hist 0 N File:3.1.PNG No edit summary current
- 20:5320:53, 18 October 2017 diff hist +1,813 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study No edit summary
- 19:4419:44, 18 October 2017 diff hist +2,465 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study No edit summary
- 18:3218:32, 18 October 2017 diff hist 0 N File:CogPsy.PNG No edit summary current
- 17:4817:48, 18 October 2017 diff hist +803 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study No edit summary
- 15:5115:51, 18 October 2017 diff hist 0 N File:MN1.PNG No edit summary current
- 15:5015:50, 18 October 2017 diff hist 0 N File:MN2.PNG No edit summary current
- 15:4915:49, 18 October 2017 diff hist +2,304 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study No edit summary
- 14:5914:59, 18 October 2017 diff hist +3,881 N STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study Created page with "= Introduction = The recent burgeon on the use of Deep Neural Networks (DNNs) have resulted in giant leaps of accuracy in prediction. They are also being used to solve a vari..."
- 12:0612:06, 18 October 2017 diff hist +146 f17Stat946PaperSignUp No edit summary
2 October 2017
29 September 2017
- 14:5614:56, 29 September 2017 diff hist 0 f17Stat946PaperSignUp →Paper presentation
- 08:0408:04, 29 September 2017 diff hist +174 f17Stat946PaperSignUp Paper Presentation