@ShaLabUSC

Machine learning lab at @USC, led by @feishaAI.

 Los Angeles, CA
Joined February 2018
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  • Following11
  • Followers94
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Excited to share our work in collaboration with @whi_rl! We propose a multi-agent RL technique to improve generalization across scenarios where the types and quantities of agents change by "imagining" sub-scenarios. arxiv.org/abs/2006.04222
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BabyWalk AI breaks complex navigation into simple steps ift.tt/2LmtJRV
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Excited to share our #acl2020nlp paper: "BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps" by Wang (Bill) Zhu, @Hexiang_Hu, Jiacheng Chen, Zhiwei Deng, @vihaniaj, @ieeugene, and @feishaAI arxiv.org/pdf/2005.04625.pdf
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Check out our new paper at #AISTATS2020: "Amortized Inference of Variational Bounds for Learning Noisy-OR" by Yiming Yan, Melissa Ailem, and @feishaAI arxiv.org/abs/1906.02428
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New paper at #ICML2019: "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" by @shariqbal and @feishaAI Paper: arxiv.org/abs/1810.02912 Code: github.com/shariqiqbal2810/M…
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It is out ! @ShaLabUSC @feishaAI
Stat.ML Papers@StatMLPapers5 Feb 2019
Hyper-parameter Tuning under a Budget Constraint. (arXiv:1902.00532v1 [cs.LG]) bit.ly/2SqVbD3

Hyper-parameter Tuning under a Budget Constraint

We study a budgeted hyper-parameter tuning problem, where we optimize the tuning result under a hard resource constraint. We propose to solve it as a sequential decision making problem, such that...

arxiv.org
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Our lab’s work on zero-shot learning, combining several conference papers and updating with new perspectives, results and evaluation metrics, along with codes. ⁦@ShaLabUSC⁩ ⁦@weilunchao⁩ ⁦@BoqingGo⁩ ⁦@martbeerina⁩ arxiv.org/abs/1812.06423

Classifier and Exemplar Synthesis for Zero-Shot Learning

Zero-shot learning (ZSL) enables solving a task without the need to see its examples. In this paper, we propose two ZSL frameworks that learn to synthesize parameters for novel unseen classes....

arxiv.org
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Great article published this week by @feishaai about #Learning #ComputerScience #ComputerVision #PatternRecognition deepai.org/publication/learn…

Learning Embedding Adaptation for Few-Shot Learning

12/10/18 - Learning with limited data is a key challenge for visual recognition. Few-shot learning methods address this challenge by learning...

deepai.org
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Check out our #NeurIPS2018 paper: "Synthesized Policies for Transfer and Adaptation across Tasks and Environments" by @Hexiang_Hu, Liyu Chen, @boqinggo, and @feishaAI. Paper: hexianghu.com/pdf/hu2018synp… Project Page: sites.google.com/view/neurip… Poster: hexianghu.com/pdf/posters/ni…
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Prof. Marius Kloft, my friend who has been spending his sabbatical in my lab, is guest lecturing statistical learning theory. :)
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Farewell lunch for our postdoc, @Chao_Kai_Chiang. Best of luck in the next stage of your career!
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Hey! Our NEW zero-shot learning toolbox has been released: github.com/pujols/Zero-shot-…. Includes our algorithms SynC and EXEM, as well as scripts for generalized zero-shot learning evaluation. Joint work with @weilunchao @boqinggo and @feishaAI.

GitHub - pujols/Zero-shot-learning-journal

Contribute to pujols/Zero-shot-learning-journal development by creating an account on GitHub.

github.com
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Saying good-bye to Han-Jia Ye, our visiting PhD student from Nanjing University. It was great having you at @ShaLabUSC this past year!
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[1/2] Check out our papers from #ECCV2018! (1) "Cross-Modal and Hierarchical Modeling of Video and Text" (openaccess.thecvf.com/conten…) by @bwzhang_usc, @Hexiang_Hu, and @feishaAI.
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[2/2] (2) "Retrospective Encoders for Video Summarization" (openaccess.thecvf.com/conten…) by Ke Zhang, Kristen Grauman, and @feishaAI.
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How a bot (or perhaps even a person) can be an engaging conversation partner? - being curious! arxiv.org/abs/1808.07104 to appear at @conll2018 @ShaLabUSC
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Is multi-task learning useful in NLP? Our (@shalabusc) extensive empirical study appearing at @coling2018 suggests so, at least half of the time for sequence tagging tasks. arxiv.org/abs/1808.04151
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Harry's (@weilunchao) last day in the lab! After graduation, Harry will be doing a postdoc at @Cornell, before becoming an assistant professor at @OhioState in Fall 2019. We'll miss you!
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Celebrating ShaLab's two newest PhD grads: Dr. @schangpi and Dr. @weilunchao! Congratulations, Beer and Harry!
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In April 2018, we journeyed into the mountains of Running Springs, CA for our first-ever ShaLab Retreat. Check out some of the exciting moments from an action-packed weekend of paintball, archery, s'mores, and lab bonding! youtu.be/j3ugTqkIzGU
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