The 3 invited speakers are quite interesting. I look forward to heard them:
- Emmanuel Dupoux, from Ecole Normale Superieure on: How do infants bootstrap into spoken language?
- Yoav Freund, University of California on Drifting games, boosting and online learning?
- Corinna Cortes, from Google on can learning kernels help performance?
I have do decide to which tutorials I will attend this sunday:
- T6 Machine Learning in IR: Recent Successes and New Opportunities [tutorial webpage]Paul Bennett, Misha Bilenko, and Kevyn Collins-Thompson
- T8 Large Social and Information Networks: Opportunities for ML [tutorial webpage]Jure Leskovec
- T9 Structured Prediction for Natural Language Processing [tutorial webpage]Noah Smith
Here are some interesting papers:
- Curriculum Learning [Full paper]
- Deep Learning from Temporal Coherence in Video [Full paper]
- Good Learners for Evil Teachers [Full paper]
- Using Fast Weights to Improve Persistent Contrastive Divergence [Full paper]
- Online Dictionary Learning for Sparse Coding [Full paper]
- A Novel Lexicalized HMM-based Learning Framework for Web Opinion Mining [Full paper]
- A Scalable Framework for Discovering Coherent Co-clusters in Noisy Data [Full paper]
- Bayesian Clustering for Email Campaign Detection [Full paper]
- Feature Hashing for Large Scale Multitask Learning [Full paper]
- Grammatical Inference as a Principal Component Analysis Problem [Full paper]
- Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations[Full paper]
I have to decide between thoses workshops on Thursday:
- Workshop on Learning Feature Hierarchies
- On-line Learning with Limited Feedback
- Seventh Annual Workshop on Bayes Applications
- Sparse Methods for Music Audio
I look forward to meet old collegues, friends and new researchers. Next week will be awesome.
