User contributions for Mpafla
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23 November 2018
- 12:0312:03, 23 November 2018 diff hist −1 learn what not to learn →Action Elimination
- 12:0312:03, 23 November 2018 diff hist +310 learn what not to learn →Action Elimination
- 12:0312:03, 23 November 2018 diff hist −310 learn what not to learn →Related Work
- 12:0112:01, 23 November 2018 diff hist +310 learn what not to learn →Action Elimination
- 11:4311:43, 23 November 2018 diff hist +132 policy optimization with demonstrations →Conclusion
- 11:2211:22, 23 November 2018 diff hist +106 Visual Reinforcement Learning with Imagined Goals →Variational Autoencoder (VAE)
- 11:0611:06, 23 November 2018 diff hist +57 Unsupervised Neural Machine Translation →Methodology
- 09:3809:38, 23 November 2018 diff hist +76 a neural representation of sketch drawings →Experiments
21 November 2018
- 20:3720:37, 21 November 2018 diff hist +76 Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction →Structured prediction
- 10:2710:27, 21 November 2018 diff hist +72 Learning to Navigate in Cities Without a Map →Goal-dependent Actor-Critic Reinforcement Learning
18 November 2018
- 09:4409:44, 18 November 2018 diff hist 0 Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples →Conclusion
- 09:4309:43, 18 November 2018 diff hist 0 Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples →Introduction
- 09:3809:38, 18 November 2018 diff hist 0 Countering Adversarial Images Using Input Transformations →Critiques
- 09:3709:37, 18 November 2018 diff hist +83 Countering Adversarial Images Using Input Transformations →Problem Definition
- 09:3109:31, 18 November 2018 diff hist +27 Countering Adversarial Images Using Input Transformations →Problem Definition
- 09:1809:18, 18 November 2018 diff hist +87 Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias →Grasping Formulation
- 09:1009:10, 18 November 2018 diff hist +4 Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias →Introduction
12 November 2018
- 20:5320:53, 12 November 2018 diff hist +96 Searching For Efficient Multi Scale Architectures For Dense Image Prediction →What they used in this paper
7 November 2018
- 23:3423:34, 7 November 2018 diff hist +73 Annotating Object Instances with a Polygon RNN →Architecture
5 November 2018
- 19:2819:28, 5 November 2018 diff hist +1 stat946w18/Wavelet Pooling For Convolutional Neural Networks →Proposed Method
- 19:2819:28, 5 November 2018 diff hist +56 stat946w18/Wavelet Pooling For Convolutional Neural Networks →Proposed Method
- 19:0019:00, 5 November 2018 diff hist −9 Learning to Teach →Introduction
- 18:5918:59, 5 November 2018 diff hist +142 Learning to Teach →Problem Definition
31 October 2018
- 21:2121:21, 31 October 2018 diff hist +1 stat946F18/differentiableplasticity →Model
- 21:1721:17, 31 October 2018 diff hist +79 stat946F18/differentiableplasticity →Model
- 21:1021:10, 31 October 2018 diff hist −1 stat946F18/differentiableplasticity →Model
- 20:5320:53, 31 October 2018 diff hist −15 stat946F18/differentiableplasticity →Motivation
- 20:5020:50, 31 October 2018 diff hist −78 stat946F18/differentiableplasticity →Motivation
- 20:4020:40, 31 October 2018 diff hist −9 Synthesizing Programs for Images usingReinforced Adversarial Learning →Motivation
- 20:4020:40, 31 October 2018 diff hist −7 Synthesizing Programs for Images usingReinforced Adversarial Learning →Motivation
22 October 2018
- 16:3516:35, 22 October 2018 diff hist +125 stat946F18 →Paper presentation
- 16:3116:31, 22 October 2018 diff hist +2 Fairness Without Demographics in Repeated Loss Minimization →Representation Disparity
- 16:3016:30, 22 October 2018 diff hist 0 Fairness Without Demographics in Repeated Loss Minimization →Representation Disparity
- 16:3016:30, 22 October 2018 diff hist 0 Fairness Without Demographics in Repeated Loss Minimization →Representation Disparity
- 16:2316:23, 22 October 2018 diff hist +23 Fairness Without Demographics in Repeated Loss Minimization →Distributonally Robust Optimization (DRO)
- 16:2016:20, 22 October 2018 diff hist +59 Fairness Without Demographics in Repeated Loss Minimization →Distributonally Robust Optimization (DRO)
- 16:1316:13, 22 October 2018 diff hist +52 Fairness Without Demographics in Repeated Loss Minimization →Distributonally Robust Optimization (DRO)
- 16:1016:10, 22 October 2018 diff hist −21 Fairness Without Demographics in Repeated Loss Minimization →Distributonally Robust Optimization (DRO)
- 14:1114:11, 22 October 2018 diff hist +1 Fairness Without Demographics in Repeated Loss Minimization →Distributonally Robust Optimization (DRO)
- 14:1014:10, 22 October 2018 diff hist +8 Fairness Without Demographics in Repeated Loss Minimization →Distributonally Robust Optimization (DRO)
- 14:0914:09, 22 October 2018 diff hist −8 Fairness Without Demographics in Repeated Loss Minimization →Distributonally Robust Optimization (DRO)
- 14:0914:09, 22 October 2018 diff hist −8 Fairness Without Demographics in Repeated Loss Minimization →Distributonally Robust Optimization (DRO)
- 14:0814:08, 22 October 2018 diff hist +114 Fairness Without Demographics in Repeated Loss Minimization →Distributonally Robust Optimization (DRO)
- 14:0614:06, 22 October 2018 diff hist +54 Fairness Without Demographics in Repeated Loss Minimization →Empirical Risk Minimization (ERM)
- 14:0514:05, 22 October 2018 diff hist −4 Fairness Without Demographics in Repeated Loss Minimization →Empirical Risk Minimization (ERM)
- 14:0414:04, 22 October 2018 diff hist +15 Fairness Without Demographics in Repeated Loss Minimization →Disparity Amplification
- 14:0314:03, 22 October 2018 diff hist −10 Fairness Without Demographics in Repeated Loss Minimization →Disparity Amplification
- 14:0214:02, 22 October 2018 diff hist +35 Fairness Without Demographics in Repeated Loss Minimization →Representation Disparity
- 14:0214:02, 22 October 2018 diff hist 0 Fairness Without Demographics in Repeated Loss Minimization →Representation Disparity
- 14:0114:01, 22 October 2018 diff hist 0 Fairness Without Demographics in Repeated Loss Minimization →Representation Disparity