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1.
▲
Learning from failure to tackle hard problems
blog.ml.cmu.edu
26 comments
8 months ago
djoldman
125 points
2.
▲
Diffusion Beats Autoregressive in Data-Constrained Settings
blog.ml.cmu.edu
14 comments
9 months ago
djoldman
72 points
3.
▲
GraphLab: A New Parallel Framework for Machine Learning
graphlab.ml.cmu.edu
1 comment
15 years ago
helwr
37 points
4.
▲
GraphLab: A New Parallel Framework for Machine Learning
graphlab.ml.cmu.edu
3 comments
16 years ago
helwr
22 points
5.
▲
Read the Web: Never Ending Language Learner
rtw.ml.cmu.edu
discuss
11 years ago
T-A
9 points
6.
▲
NELL: Never-Ending Language Learning
rtw.ml.cmu.edu
discuss
9 years ago
espeed
6 points
7.
▲
Yahoo Labs Announces $10M Partnership with CMU's Machine Learning Dept
ml.cmu.edu
discuss
12 years ago
kjhughes
4 points
8.
▲
Path Length Bounds for Gradient Descent
blog.ml.cmu.edu
discuss
7 years ago
QuitterStrip
4 points
9.
▲
Ultra-Wide Deep Nets and the Neural Tangent Kernel (NTK)
blog.ml.cmu.edu
discuss
7 years ago
headalgorithm
4 points
10.
▲
An experimental design perspective on model-based reinforcement learning
blog.ml.cmu.edu
discuss
4 years ago
vrm
3 points
11.
▲
Learning DAGs with Continuous Optimization
blog.ml.cmu.edu
discuss
5 years ago
tmfi
3 points
12.
▲
Inherent Tradeoffs in Learning Fair Representations
blog.ml.cmu.edu
discuss
6 years ago
EvgeniyZh
3 points
13.
▲
Building Machine Learning Models via Comparisons
blog.ml.cmu.edu
discuss
7 years ago
QuitterStrip
3 points
14.
▲
Ultra-Wide Deep Nets and the Neural Tangent Kernel (NTK)
blog.ml.cmu.edu
discuss
7 years ago
wei_jok
3 points
15.
▲
Building Machine Learning Models via Comparisons
blog.ml.cmu.edu
discuss
7 years ago
stablemap
3 points
16.
▲
Human-Centered Reinforcement Learning [pdf]
ml.cmu.edu
discuss
25 days ago
ankitg12
2 points
17.
▲
When Should AI Step Aside?: Teaching Agents When Humans Want to Intervene
blog.ml.cmu.edu
discuss
2 months ago
djoldman
2 points
18.
▲
Read the Web
rtw.ml.cmu.edu
discuss
14 years ago
zoowar
2 points
19.
▲
Counterfactual predictions under runtime confounding
blog.ml.cmu.edu
discuss
5 years ago
DevilMadeMeDoIT
2 points
20.
▲
An Inferential Perspective on Federated Learning
blog.ml.cmu.edu
discuss
5 years ago
tmfi
2 points
21.
▲
Experiments with the ICML 2020 Peer-Review Process
blog.ml.cmu.edu
discuss
6 years ago
EvgeniyZh
2 points
22.
▲
Contextual Parameter Generation for Neural Machine Translation
blog.ml.cmu.edu
discuss
7 years ago
oyashius
2 points
23.
▲
Massively Parallel Hyperparameter Optimization
blog.ml.cmu.edu
discuss
8 years ago
jonbaer
2 points
24.
▲
NELL: Never-Ending Language Learning
rtw.ml.cmu.edu
discuss
10 years ago
jonbaer
2 points
25.
▲
NELL: Never-Ending Language Learning
rtw.ml.cmu.edu
discuss
12 years ago
jonbaer
1 points
26.
▲
Large-scale Automated Forecasting using Fractals
ml.cmu.edu
discuss
13 years ago
nerdben
1 points
27.
▲
NELL: Never-Ending Language Learning
rtw.ml.cmu.edu
discuss
13 years ago
denzil_correa
1 points
28.
▲
Read the Web
rtw.ml.cmu.edu
discuss
14 years ago
olalonde
1 points
29.
▲
Behavior-Driven AI Development
blog.ml.cmu.edu
discuss
3 years ago
cabreraalex
1 points
30.
▲
Two Experiments in Peer Review: Posting Preprints and Citation Bias
blog.ml.cmu.edu
discuss
4 years ago
EvgeniyZh
1 points
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