[Colloquium] REMINDER: 2/1 Talks at TTIC: Yixuan Li, Facebook AI

[Mary Marre via Colloquium]

When:     Friday, February 1st at *11:00 am*

Where:    TTIC, 6045 S Kenwood Avenue, 5th Floor, Room 526

Who:       Yixuan Li, Facebook AI


*Title*: Learning Generalizable and Reliable Neural Machines in an Open
World

*Abstract*: The past several years have seen a growing demand for building
intelligent machines that can learn from and generalize to complex data.
However, despite tremendous performance improvements, high-capacity models
such as deep neural networks still struggle to generalize to the diverse
world. In this talk, I will present my recent work addressing challenges on
learning more generalizable and reliable representations. This requires
machine learning models to not only classify data accurately from known
classes and distributions, but also to develop awareness against abnormal
examples in open environments. To this end, I will first talk about works
on how we can improve generalization by leveraging multiple learning
agents. Then, I will discuss an approach that effectively detects anomalies
from outside the training distribution. Finally, I will share ongoing
efforts on learning highly generalizable representations without strong
human supervision, followed by discussion of future directions towards a
minimally supervised, continuous learning paradigm.

*Bio*: Yixuan (Sharon) Li is a Research Scientist at Facebook AI. Her
research interests are in machine learning and representation learning,
with applications to computer vision and network science. She received her
Ph.D. from Cornell University in 2017, where she was advised by John E.
Hopcroft, Kilian Q. Weinberger and Thorsten Joachims. Prior to Cornell, she
obtained her B.Eng from the honored class of Shanghai Jiaotong University
in 2013. She was selected as one of the Rising Stars in EECS by Stanford
University in 2017. She is the recipient of ACM-W Scholarship and Cornell
Graduate Research Fellowship.

Host: Greg Shakhnarovich <Greg at ttic.edu>




Mary C. Marre
Administrative Assistant
*Toyota Technological Institute*
*6045 S. Kenwood Avenue*
*Room 517*
*Chicago, IL  60637*
*p:(773) 834-1757*
*f: (773) 357-6970*
*mmarre at ttic.edu <mmarre at ttic.edu>*


On Thu, Jan 31, 2019 at 3:28 PM Mary Marre <mmarre at ttic.edu> wrote:

> When:     Friday, February 1st at *11:00 am*
>
> Where:    TTIC, 6045 S Kenwood Avenue, 5th Floor, Room 526
>
> Who:       Yixuan Li, Facebook AI
>
>
> *Title*: Learning Generalizable and Reliable Neural Machines in an Open
> World
>
> *Abstract*: The past several years have seen a growing demand for
> building intelligent machines that can learn from and generalize to complex
> data. However, despite tremendous performance improvements, high-capacity
> models such as deep neural networks still struggle to generalize to the
> diverse world. In this talk, I will present my recent work addressing
> challenges on learning more generalizable and reliable representations.
> This requires machine learning models to not only classify data accurately
> from known classes and distributions, but also to develop awareness against
> abnormal examples in open environments. To this end, I will first talk
> about works on how we can improve generalization by leveraging multiple
> learning agents. Then, I will discuss an approach that effectively detects
> anomalies from outside the training distribution. Finally, I will share
> ongoing efforts on learning highly generalizable representations without
> strong human supervision, followed by discussion of future directions
> towards a minimally supervised, continuous learning paradigm.
>
> *Bio*: Yixuan (Sharon) Li is a Research Scientist at Facebook AI. Her
> research interests are in machine learning and representation learning,
> with applications to computer vision and network science. She received her
> Ph.D. from Cornell University in 2017, where she was advised by John E.
> Hopcroft, Kilian Q. Weinberger and Thorsten Joachims. Prior to Cornell, she
> obtained her B.Eng from the honored class of Shanghai Jiaotong University
> in 2013. She was selected as one of the Rising Stars in EECS by Stanford
> University in 2017. She is the recipient of ACM-W Scholarship and Cornell
> Graduate Research Fellowship.
>
> Host: Greg Shakhnarovich <Greg at ttic.edu>
>
>
>
>
>
>
> Mary C. Marre
> Administrative Assistant
> *Toyota Technological Institute*
> *6045 S. Kenwood Avenue*
> *Room 517*
> *Chicago, IL  60637*
> *p:(773) 834-1757*
> *f: (773) 357-6970*
> *mmarre at ttic.edu <mmarre at ttic.edu>*
>
>
> On Fri, Jan 25, 2019 at 4:47 PM Mary Marre <mmarre at ttic.edu> wrote:
>
>> When:     Friday, February 1st at *11:00 am*
>>
>> Where:    TTIC, 6045 S Kenwood Avenue, 5th Floor, Room 526
>>
>> Who:       Yixuan Li, Facebook AI
>>
>>
>> *Title*: Towards Generalizable and Robust Neural Machines for Visual
>> Learning
>>
>> *Abstract*:
>> The past several years have seen a growing demand for building
>> intelligent machines that can learn from and generalize to complex visual
>> cues. However, despite tremendous performance improvements, high-capacity
>> models such as deep neural networks still struggle to generalize to the
>> diverse visual world. In this talk, I will present my recent work
>> addressing challenges on learning more generalizable and robust visual
>> representations. This requires machine learning models to not only classify
>> data accurately from known classes and distributions, but also to develop
>> robustness against abnormal examples in open environments. To this end, I
>> will first talk about works on how we can improve generalization by
>> leveraging multiple learning agents. Then, I will discuss an approach that
>> effectively detects anomalies from outside the training distribution.
>> Finally, I will share ongoing efforts on learning highly generalizable
>> representations without strong human supervision, followed by discussion of
>> future directions towards a minimally supervised, continuous learning
>> paradigm.
>>
>> *Bio*:
>> Yixuan (Sharon) Li is a Research Scientist at Facebook AI. Her research
>> interests are in machine learning and representation learning, with
>> applications to computer vision and network science. She received her Ph.D.
>> from Cornell University in 2017, where she was advised by John E. Hopcroft,
>> Kilian Q. Weinberger and Thorsten Joachims. Prior to Cornell, she obtained
>> her B.Eng from the honored class of Shanghai Jiaotong University in 2013.
>> She was selected as one of the *Rising Stars in EECS *by Stanford
>> University in 2017. She is the recipient of ACM-W Scholarship, D.E.Shaw
>> Exploration Fellowship and Cornell Graduate Research Fellowship.
>>
>>
>> Host: Greg Shakhnarovich <Greg at ttic.edu>
>>
>>
>>
>>
>> Mary C. Marre
>> Administrative Assistant
>> *Toyota Technological Institute*
>> *6045 S. Kenwood Avenue*
>> *Room 517*
>> *Chicago, IL  60637*
>> *p:(773) 834-1757*
>> *f: (773) 357-6970*
>> *mmarre at ttic.edu <mmarre at ttic.edu>*
>>
>
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