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Spotlight Session 2
Augustus Odena · Kensen Shi · David Bieber · Ferran Alet · Charles Sutton · Roshni Iyer
Author Information
Augustus Odena (Google Brain)
Kensen Shi (Google)
David Bieber (Google Brain)
Ferran Alet (MIT)
Charles Sutton (Google)
Roshni Iyer (University of California, Los Angeles)
More from the Same Authors
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2020 : Measuring few-shot extrapolation with program induction »
Ferran Alet -
2020 : Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time »
Ferran Alet -
2020 : Robotic gripper design with Evolutionary Strategies and Graph Element Networks »
Ferran Alet · Maria Bauza · Adarsh K Jeewajee · Max Thomsen · Alberto Rodriguez · Leslie Kaelbling · Tomás Lozano-Pérez -
2021 : Type Inference as Optimization »
Eirini V. Pandi · Earl Barr · Andrew Gordon · Charles Sutton -
2021 : Noether Networks: Meta-Learning Useful Conserved Quantities »
Ferran Alet · Dylan Doblar · Allan Zhou · Josh Tenenbaum · Kenji Kawaguchi · Chelsea Finn -
2023 Poster: LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas »
Kensen Shi · Hanjun Dai · Wen-Ding Li · Kevin Ellis · Charles Sutton -
2023 Poster: Training Chain-of-Thought via Latent-Variable Inference »
Matthew Douglas Hoffman · Du Phan · David Dohan · Pavel Sountsov · Rif A. Saurous · Sharad Vikram · Sholto Douglas · Tuan Anh Le · Charles Sutton · Aaron Parisi -
2021 Poster: Learning Semantic Representations to Verify Hardware Designs »
Shobha Vasudevan · Wenjie (Joe) Jiang · David Bieber · Rishabh Singh · hamid shojaei · C. Richard Ho · Charles Sutton -
2021 Poster: A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics »
Kai Xu · Akash Srivastava · Dan Gutfreund · Felix Sosa · Tomer Ullman · Josh Tenenbaum · Charles Sutton -
2021 Poster: Noether Networks: meta-learning useful conserved quantities »
Ferran Alet · Dylan Doblar · Allan Zhou · Josh Tenenbaum · Kenji Kawaguchi · Chelsea Finn -
2021 Poster: Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time »
Ferran Alet · Maria Bauza · Kenji Kawaguchi · Nurullah Giray Kuru · Tomás Lozano-Pérez · Leslie Kaelbling -
2020 : closing talk »
Augustus Odena · Charles Sutton -
2020 : Panel »
Augustus Odena · Charles Sutton · Roopsha Samanta · Xinyun Chen · Elena Glassman -
2020 : Satish Chandra Talk »
Satish Chandra · Augustus Odena · Charles Sutton -
2020 : Spotlight Session 1 »
Augustus Odena · Maxwell Nye · Disha Shrivastava · Mayank Agarwal · Vincent J Hellendoorn · Charles Sutton -
2020 Workshop: Workshop on Computer Assisted Programming (CAP) »
Augustus Odena · Charles Sutton · Nadia Polikarpova · Josh Tenenbaum · Armando Solar-Lezama · Isil Dillig -
2020 : Welcome Talk »
Augustus Odena -
2020 : Ferran Alet - Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time »
Ferran Alet -
2020 Poster: Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples »
Samarth Sinha · Zhengli Zhao · Anirudh Goyal · Colin A Raffel · Augustus Odena -
2020 Poster: Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks »
David Bieber · Charles Sutton · Hugo Larochelle · Danny Tarlow -
2020 Poster: SMYRF - Efficient Attention using Asymmetric Clustering »
Giannis Daras · Nikita Kitaev · Augustus Odena · Alex Dimakis -
2020 Poster: Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration »
Hanjun Dai · Rishabh Singh · Bo Dai · Charles Sutton · Dale Schuurmans -
2019 : Poster Session »
Matthia Sabatelli · Adam Stooke · Amir Abdi · Paulo Rauber · Leonard Adolphs · Ian Osband · Hardik Meisheri · Karol Kurach · Johannes Ackermann · Matt Benatan · GUO ZHANG · Chen Tessler · Dinghan Shen · Mikayel Samvelyan · Riashat Islam · Murtaza Dalal · Luke Harries · Andrey Kurenkov · Konrad Żołna · Sudeep Dasari · Kristian Hartikainen · Ofir Nachum · Kimin Lee · Markus Holzleitner · Vu Nguyen · Francis Song · Christopher Grimm · Felipe Leno da Silva · Yuping Luo · Yifan Wu · Alex Lee · Thomas Paine · Wei-Yang Qu · Daniel Graves · Yannis Flet-Berliac · Yunhao Tang · Suraj Nair · Matthew Hausknecht · Akhil Bagaria · Simon Schmitt · Bowen Baker · Paavo Parmas · Benjamin Eysenbach · Lisa Lee · Siyu Lin · Daniel Seita · Abhishek Gupta · Riley Simmons-Edler · Yijie Guo · Kevin Corder · Vikash Kumar · Scott Fujimoto · Adam Lerer · Ignasi Clavera Gilaberte · Nicholas Rhinehart · Ashvin Nair · Ge Yang · Lingxiao Wang · Sungryull Sohn · J. Fernando Hernandez-Garcia · Xian Yeow Lee · Rupesh Srivastava · Khimya Khetarpal · Chenjun Xiao · Luckeciano Carvalho Melo · Rishabh Agarwal · Tianhe Yu · Glen Berseth · Devendra Singh Chaplot · Jie Tang · Anirudh Srinivasan · Tharun Kumar Reddy Medini · Aaron Havens · Misha Laskin · Asier Mujika · Rohan Saphal · Joseph Marino · Alex Ray · Joshua Achiam · Ajay Mandlekar · Zhuang Liu · Danijar Hafner · Zhiwen Tang · Ted Xiao · Michael Walton · Jeff Druce · Ferran Alet · Zhang-Wei Hong · Stephanie Chan · Anusha Nagabandi · Hao Liu · Hao Sun · Ge Liu · Dinesh Jayaraman · John Co-Reyes · Sophia Sanborn -
2019 : Coffee/Poster session 2 »
Xingyou Song · Puneet Mangla · David Salinas · Zhenxun Zhuang · Leo Feng · Shell Xu Hu · Raul Puri · Wesley Maddox · Aniruddh Raghu · Prudencio Tossou · Mingzhang Yin · Ishita Dasgupta · Kangwook Lee · Ferran Alet · Zhen Xu · Jörg Franke · James Harrison · Jonathan Warrell · Guneet Dhillon · Arber Zela · Xin Qiu · Julien Niklas Siems · Russell Mendonca · Louis Schlessinger · Jeffrey Li · Georgiana Manolache · Debojyoti Dutta · Lucas Glass · Abhishek Singh · Gregor Koehler -
2019 Poster: Neural Relational Inference with Fast Modular Meta-learning »
Ferran Alet · Erica Weng · Tomás Lozano-Pérez · Leslie Kaelbling -
2018 : Panel on research process »
Zachary Lipton · Charles Sutton · Finale Doshi-Velez · Hanna Wallach · Suchi Saria · Rich Caruana · Thomas Rainforth -
2018 : Charles Sutton »
Charles Sutton -
2018 Poster: Realistic Evaluation of Deep Semi-Supervised Learning Algorithms »
Avital Oliver · Augustus Odena · Colin A Raffel · Ekin Dogus Cubuk · Ian Goodfellow -
2018 Spotlight: Realistic Evaluation of Deep Semi-Supervised Learning Algorithms »
Avital Oliver · Augustus Odena · Colin A Raffel · Ekin Dogus Cubuk · Ian Goodfellow -
2018 Poster: HOUDINI: Lifelong Learning as Program Synthesis »
Lazar Valkov · Dipak Chaudhari · Akash Srivastava · Charles Sutton · Swarat Chaudhuri -
2017 Poster: VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning »
Akash Srivastava · Lazar Valkov · Chris Russell · Michael Gutmann · Charles Sutton -
2016 Workshop: Towards an Artificial Intelligence for Data Science »
Charles Sutton · James Geddes · Zoubin Ghahramani · Padhraic Smyth · Chris Williams -
2015 Poster: Latent Bayesian melding for integrating individual and population models »
Mingjun Zhong · Nigel Goddard · Charles Sutton -
2015 Spotlight: Latent Bayesian melding for integrating individual and population models »
Mingjun Zhong · Nigel Goddard · Charles Sutton -
2014 Poster: Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models »
Yichuan Zhang · Charles Sutton -
2014 Poster: Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation »
Mingjun Zhong · Nigel Goddard · Charles Sutton -
2012 Poster: Continuous Relaxations for Discrete Hamiltonian Monte Carlo »
Zoubin Ghahramani · Yichuan Zhang · Charles Sutton · Amos Storkey -
2012 Spotlight: Continuous Relaxations for Discrete Hamiltonian Monte Carlo »
Zoubin Ghahramani · Yichuan Zhang · Charles Sutton · Amos Storkey -
2011 Poster: Quasi-Newton Methods for Markov Chain Monte Carlo »
Yichuan Zhang · Charles Sutton