ICML Submissions

Task-agnostic Continual Learning with Hybrid Probabilistic Models
Polina Kirichenko, Mehrdad Farajtabar, Dushyant Rao, Balaji Lakshminarayanan, Nir Levine, Ang Li, Huiyi Hu, Andrew Gordon Wilson, Razvan Pascanu
- Jun 02, 2021 (edited Jul 17, 2021)
- INNF+ 2021 spotlighttalk
- Readers: Everyone
Agent Forecasting at Flexible Horizons using ODE Flows
Alexander Radovic, Jiawei He, Janahan Ramanan, Marcus A Brubaker, Andreas Lehrmann
- Jun 02, 2021 (edited Jul 17, 2021)
- INNF+ 2021 poster
- Readers: Everyone
Reinforcement Learning as One Big Sequence Modeling Problem
Michael Janner, Qiyang Li, Sergey Levine
- Jun 13, 2021 (edited Jul 17, 2021)
- URL 2021 Poster
- Readers: Everyone
Discrete Tree Flows via Tree-Structured Permutations
Mai Elkady, Jim Lim, David I. Inouye
- Jun 02, 2021 (edited Jul 16, 2021)
- INNF+ 2021 poster
- Readers: Everyone
Why be adversarial? Let's cooperate!: Cooperative Dataset Alignment via JSD Upper Bound
Wonwoong Cho, Ziyu Gong, David I. Inouye
- Jun 02, 2021 (edited Jul 16, 2021)
- INNF+ 2021 spotlighttalk
- Readers: Everyone
Intrinsic Control of Variational Beliefs in Dynamic Partially-Observed Visual Environments
Nicholas Rhinehart, Jenny Wang, Glen Berseth, John D Co-Reyes, Danijar Hafner, Chelsea Finn, Sergey Levine
- Jun 13, 2021 (edited Jul 16, 2021)
- URL 2021 Poster
- Readers: Everyone
RAD-TTS: Parallel Flow-Based TTS with Robust Alignment Learning and Diverse Synthesis
Kevin J. Shih, Rafael Valle, Rohan Badlani, Adrian Lancucki, Wei Ping, Bryan Catanzaro
- Jun 02, 2021 (edited Jul 16, 2021)
- INNF+ 2021 poster
- Readers: Everyone
MASAI: Multi-agent Summative Assessment Improvement for Unsupervised Environment Design
Yiping Wang, Michael Brandon Haworth
- Jun 13, 2021 (edited Jul 16, 2021)
- URL 2021 Poster
- Readers: Everyone
Manifold Density Estimation via Generalized Dequantization
James Brofos, Marcus A Brubaker, Roy R Lederman
- Jun 02, 2021 (edited Jul 16, 2021)
- INNF+ 2021 poster
- Readers: Everyone
$\alpha$-VAEs : Optimising variational inference by learning data-dependent divergence skew
Jacob Deasy, Tom Andrew McIver, Nikola Simidjievski, Pietro Lio
- Jun 02, 2021 (edited Jul 16, 2021)
- INNF+ 2021 poster
- Readers: Everyone
Interpreting diffusion score matching using normalizing flow
Wenbo Gong, Yingzhen Li
- Jun 02, 2021 (edited Jul 16, 2021)
- INNF+ 2021 spotlighttalk
- Readers: Everyone
Learning Task-Relevant Representations with Selective Contrast for Reinforcement Learning in a Real-World Application
Flemming Brieger, Daniel Alexander Braun, Sascha Lange
- Jun 13, 2021 (edited Jul 16, 2021)
- URL 2021 Poster
- Readers: Everyone
Exploration via Empowerment Gain: Combining Novelty, Surprise and Learning Progress
Philip Becker-Ehmck, Maximilian Karl, Jan Peters, Patrick van der Smagt
- Jun 13, 2021 (edited Jul 16, 2021)
- URL 2021 Poster
- Readers: Everyone
Visualizing MuZero Models
joery de Vries, Ken Voskuil, Thomas M. Moerland, Aske Plaat
- Jun 13, 2021 (edited Jul 16, 2021)
- URL 2021 Poster
- Readers: Everyone
Beyond In-Place Corruption: Insertion and Deletion In Denoising Probabilistic Models
Daniel D. Johnson, Jacob Austin, Rianne van den Berg, Daniel Tarlow
- Jun 02, 2021 (edited Jul 16, 2021)
- INNF+ 2021 poster
- Readers: Everyone
Density-Based Bonuses on Learned Representations for Reward-Free Exploration in Deep Reinforcement Learning
Omar Darwiche Domingues, Corentin Tallec, Remi Munos, Michal Valko
- Jun 13, 2021 (edited Jul 15, 2021)
- URL 2021 Poster
- Readers: Everyone
Copula-Based Normalizing Flows
Mike Laszkiewicz, Johannes Lederer, Asja Fischer
- Jun 02, 2021 (edited Jul 15, 2021)
- INNF+ 2021 poster
- Readers: Everyone
Recurrent Flow Networks: A Recurrent Latent Variable Model for Density Modelling of Urban Mobility
Daniele Gammelli, Filipe Rodrigues
- Jun 02, 2021 (edited Jul 15, 2021)
- INNF+ 2021 poster
- Readers: Everyone
LRTuner: A Learning Rate Tuner for Deep Neural Networks
Nikhil Iyer, Thejas Venkatesh, Nipun Kwatra, Ramachandran Ramjee, Muthian Sivathanu
- May 20, 2021 (edited Jul 15, 2021)
- AutoML@ICML2021 Poster
- Readers: Everyone
Data-Efficient Exploration with Self Play for Atari
Michael Laskin, Catherine Cang, Ryan Rudes, Pieter Abbeel
- Jun 13, 2021 (edited Jul 15, 2021)
- URL 2021 Poster
- Readers: Everyone
Conformal Embedding Flows: Tractable Density Estimation on Learned Manifolds
Brendan Leigh Ross, Jesse C Cresswell
- Jun 02, 2021 (edited Jul 14, 2021)
- INNF+ 2021 spotlighttalk
- Readers: Everyone
Decision Transformer: Reinforcement Learning via Sequence Modeling
Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch
- Jun 13, 2021 (edited Jul 14, 2021)
- URL 2021 Poster
- Readers: Everyone
Meta Learning the Step Size in Policy Gradient Methods
Luca Sabbioni, Francesco Corda, Marcello Restelli
- May 20, 2021 (edited Jul 14, 2021)
- AutoML@ICML2021 Poster
- Readers: Everyone
On-the-fly learning of adaptive strategies with bandit algorithms
Rashid Bakirov, Damien Fay, Bogdan Gabrys
- May 20, 2021 (edited Jul 14, 2021)
- AutoML@ICML2021 Poster
- Readers: Everyone
Adaptation-Agnostic Meta-Training
Jiaxin Chen, Li-Ming Zhan, Xiao-Ming Wu, Fu-lai Chung
- May 20, 2021 (edited Jul 14, 2021)
- AutoML@ICML2021 Poster
- Readers: Everyone