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Poster session (and Coffee Break)
Jacob Andreas · Kun Li · Conner Vercellino · Thomas Miconi · Wenpeng Zhang · Luca Franceschi · Zheng Xiong · Karim Ahmed · Laurent Itti · Tim Klinger · Mostafa Rohaninejad
Author Information
Jacob Andreas (UC Berkeley)
Kun Li (Caltech)
Conner Vercellino (UCSB)
Thomas Miconi (Uber AI Labs)
Wenpeng Zhang (Tsinghua University)
Luca Franceschi (Istituto Italiano di Tecnologia & University College London)
Zheng Xiong (Tsinghua University)
Karim Ahmed (Dartmouth, USA)
Webpage: https://karim-ahmed.github.io/ Email: karim.mmm@gmail.com
Laurent Itti (University of Southern California (USC))
Tim Klinger (IBM Research AI)
Mostafa Rohaninejad (UC Berkeley)
More from the Same Authors
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2021 : On the Practical Consistency of Meta-Reinforcement Learning Algorithms »
Zheng Xiong · Luisa Zintgraf · Jacob Beck · Risto Vuorio · Shimon Whiteson -
2022 : Learning in Factored Domains with Information-Constrained Visual Representations »
Tyler Malloy · Chris Sims · Tim Klinger · Matthew Riemer · Miao Liu · Gerald Tesauro -
2022 : Improving Zero-shot Generalization and Robustness of Multi-modal Models »
Yunhao Ge · Jie Ren · Ming-Hsuan Yang · Yuxiao Wang · Andrew Gallagher · Hartwig Adam · Laurent Itti · Balaji Lakshminarayanan · Jiaping Zhao -
2022 Poster: Compositional generalization through abstract representations in human and artificial neural networks »
Takuya Ito · Tim Klinger · Doug Schultz · John Murray · Michael Cole · Mattia Rigotti -
2022 Poster: On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond »
Shiji Zhou · Wenpeng Zhang · Jiyan Jiang · Wenliang Zhong · Jinjie GU · Wenwu Zhu -
2021 Poster: Asynchronous Decentralized Online Learning »
Jiyan Jiang · Wenpeng Zhang · Jinjie GU · Wenwu Zhu -
2021 Poster: Teachable Reinforcement Learning via Advice Distillation »
Olivia Watkins · Abhishek Gupta · Trevor Darrell · Pieter Abbeel · Jacob Andreas -
2020 Poster: Graph Policy Network for Transferable Active Learning on Graphs »
Shengding Hu · Zheng Xiong · Meng Qu · Xingdi Yuan · Marc-Alexandre Côté · Zhiyuan Liu · Jian Tang -
2020 : Challenges for Compositional Generalization »
Tim Klinger -
2019 : The AutoDL Challenge »
Sébastien Treguer · Ildoo Kim · Ruirui Guo · Zhipeng Luo · Minghui Zhao · Yazhou Li · Xiawei Guo · Wenpeng Zhang · Noriaki Ota -
2018 : Spotlights 2 »
Mausam · Ankit Anand · Parag Singla · Tarik Koc · Tim Klinger · Habibeh Naderi · Sungwon Lyu · Saeed Amizadeh · Kshitij Dwivedi · Songpeng Zu · Wei Feng · Balaraman Ravindran · Edouard Pineau · Abdulkadir Celikkanat · Deepak Venugopal -
2018 : Backpropamine: Meta-training self-modifying neural networks with gradient descent »
Thomas Miconi -
2018 : AutoML3 - LifeLong ML with concept drift Challenge. Second place winner. A Boosting Tree Based AutoML System for High Cardinality Streaming Data Classification with Concept Drift »
Zheng Xiong · Jiyan Jiang · Wenpeng Zhang -
2018 Poster: Speaker-Follower Models for Vision-and-Language Navigation »
Daniel Fried · Ronghang Hu · Volkan Cirik · Anna Rohrbach · Jacob Andreas · Louis-Philippe Morency · Taylor Berg-Kirkpatrick · Kate Saenko · Dan Klein · Trevor Darrell -
2017 : Afternoon Panel discussion »
Brian Skyrms · Satinder Singh · Jacob Andreas -
2015 Poster: On the Accuracy of Self-Normalized Log-Linear Models »
Jacob Andreas · Maxim Rabinovich · Michael Jordan · Dan Klein -
2014 Poster: Unsupervised Transcription of Piano Music »
Taylor Berg-Kirkpatrick · Jacob Andreas · Dan Klein -
2014 Spotlight: Unsupervised Transcription of Piano Music »
Taylor Berg-Kirkpatrick · Jacob Andreas · Dan Klein -
2013 Poster: Bayesian optimization explains human active search »
Ali Borji · Laurent Itti