I am a fifth-year Ph.D. student in Oregon State University. My advisor is Dr. Raviv Raich. I am in the OSU bioacoustics project led by my advisor and Dr. Xiaoli Fern.

07/03/2017: I enjoyed a research intern at SRI, on security and AI, fortunately work with Shalini Ghosh and Vinod Yegneswaran.

05/26/2016: MATLAB code for ICASSP'16 is uploaded.

05/25/2016: MATLAB code for ICML'15 is uploaded.

01/10/2016: MATLAB code for SSP'14 is uploaded.

[8]. Anh The Pham, Shalini Ghosh, and Vinod Yegneswaran, Data masking for privacy-sensitive learning. NIPS Workshop, 2017. (accepted as Spotlight) Pdf.

[7]. Anh The Pham, Raviv Raich, and Xiaoli Z. Fern, Dynamic programming for instance annotation in multi-instance multi-label learning. T-PAMI, 2017. Pdf, Code, BibText

[6]. Anh The Pham, Raviv Raich, and Xiaoli Z. Fern, Semi-supervised learning in the presence of novel class instances. ICASSP, Shanghai-2016. Pdf, Code, BibText

[5]. Anh The Pham, Raviv Raich, Xiaoli Z. Fern, and Jesús Pérez Arriaga, Multi-instance multi-label learning in the presence of novel class instances. ICML, Lille-2015. Pdf, Talk, Code, Supp. material, BibText

[4]. Anh The Pham, Raviv Raich, and Xiaoli Z. Fern, Simultaneous instance annotation and clustering in multi-instance multi-label learning. MLSP, Boston-2015. Pdf, Best paper award, BibText

[3]. Anh The Pham, and Raviv Raich, Kernel-based instance annotation in multi-instance multi-label learning. MLSP, Reims-2014. Pdf, BibText

[2]. Anh The Pham, Raviv Raich, and Xiaoli Z. Fern, Efficient instance annotation in multi-instance learning. SSP, Melbourne-2014. Pdf, BibText

[1]. Anh The Pham, Nguyen Duc Thang, La The Vinh, Young-Koo Lee, and Sungyoung Lee, Deflation-based power iteration clustering. Applied Intelligence, 2013. Pdf, BibText

Anh The Pham, Raviv Raich, Xiaoli Z. Fern, et al. Making multi-instance learning general. Submitted, 2017

Anh The Pham, Raviv Raich, and Xiaoli Z. Fern, Discriminative clustering based on approximate distribution. Submitted, 2017

Anh The Pham, Raviv Raich, and Xiaoli Z. Fern, An analysis on positive and unlabeled learning. Preparing, 2017

Anh The Pham and Raviv Raich, A Markov chain model for weak-label learning. Preparing, 2017

[9]. Teresa V. Tjahja, Xiaoli Z. Fern, Raviv Raich, and Anh The Pham, Supervised hierarchical segmentation for bird song recording. ICASSP, Queensland-2015. Pdf, BibText

[10]. Tam Nguyen, Raviv Raich, Xiaoli Z. Fern, and Anh The Pham, MIML-AI: Mixed-supervision multi-instance multi-label learning with auxiliary information. MLSP, Tokyo-2017. Pdf, BibText

[11]. Phung Lai, Raviv Raich, Xiaoli Z. Fern, and Anh The Pham, A cool paper submitted to somewhere. AISTATS, 2018. Pdf (Submitted)

1. MLSP Intel best paper award
2. Vietnam Physics Olympiad 2004, 2005, 2006 (4th, 2nd, 2nd prizes respectively)
3. Invited talk at OSU-EECS-Colloquium

1. SRI International, Menlo Park, Summer 2017: on Machine Learning for Privacy.
2. Saltlux, Seoul, Summer 2011: on Distributed Machine Learning (Hadoop and Mahout).

* You are welcome to use our code. Please cite the relevant paper using BibText link next to the code.

1. ORLR-Instance annotation for MIML data, published in SSP'14 and T-PAMI'17, BibText
2. MIMLNC-Instance annotation for MIML data with novel class instances, published in ICML'15, BibText
3. LRSSS-Logistic regression in semi-supervised setting, published in ICASSP'16, BibText

Most of the datasets used in our work can be found in this link

T-PAMI, ICML, AAAI, ICASSP, MLSP, CIKM.