NeurIPS 2020 Workshop ICBINB Submissions

Oversampling Tabular Data with Deep Generative Models: Is it worth the effort?
Ramiro Camino, Chris Hammerschmidt, Radu State
- Published: 09 Dec 2020, Last Modified: 05 May 2023
- ICBINB 2020 Spotlight
- Readers: Everyone
Graph Conditional Variational Models: Too Complex for Multiagent Trajectories?
Yannick Rudolph, Ulf Brefeld, Uwe Dick
- Published: 09 Dec 2020, Last Modified: 05 May 2023
- ICBINB 2020 Spotlight
- Readers: Everyone
A study of quality and diversity in K+1 GANs
Ilya Kavalerov, Wojciech Czaja, Rama Chellappa
- Published: 09 Dec 2020, Last Modified: 05 May 2023
- ICBINB 2020 Poster
- Readers: Everyone
End-to-End Differentiable GANs for Text Generation
Sachin Kumar, Yulia Tsvetkov
- Published: 09 Dec 2020, Last Modified: 05 May 2023
- ICBINB 2020 Poster
- Readers: Everyone
Pitfalls in Machine Learning Research: Reexamining the Development Cycle
Stella Biderman, Walter Scheirer
- Published: 09 Dec 2020, Last Modified: 05 May 2023
- ICBINB 2020 Poster
- Readers: Everyone
I’m Sorry for Your Loss: Spectrally-Based Audio Distances Are Bad at Pitch
Joseph Turian, Max Henry
- Published: 09 Dec 2020, Last Modified: 05 May 2023
- ICBINB 2020 Poster
- Readers: Everyone
Semi-supervised Learning by Latent Space Energy-Based Model of Symbol-Vector Coupling
Bo Pang, Erik Nijkamp, Jiali Cui, Tian Han, Ying Nian Wu
- Published: 09 Dec 2020, Last Modified: 05 May 2023
- ICBINB 2020 Poster
- Readers: Everyone
A Worrying Analysis of Probabilistic Time-series Models for Sales Forecasting
Seungjae Jung, Kyung-Min Kim, Hanock Kwak, Young-Jin Park
- Published: 09 Dec 2020, Last Modified: 05 May 2023
- ICBINB 2020 Poster
- Readers: Everyone
It Doesn’t Get Better and Here’s Why: A Fundamental Drawback in Natural Extensions of UCB to Multi-agent Bandits
Udari Madhushani, Naomi Leonard
- Published: 09 Dec 2020, Last Modified: 05 May 2023
- ICBINB 2020 Spotlight
- Readers: Everyone
Is the Discrete VAE’s Power Stuck in its Prior?
Haydn Thomas Jones, Juston Moore
- Published: 09 Dec 2020, Last Modified: 05 May 2023
- ICBINB 2020 Poster
- Readers: Everyone
Power posteriors do not reliably learn the number of components in a finite mixture
Diana Cai, Trevor Campbell, Tamara Broderick
- Published: 09 Dec 2020, Last Modified: 05 May 2023
- ICBINB 2020 Spotlight
- Readers: Everyone
Understanding Generalization through Visualizations
W Ronny Huang, Zeyad Ali Sami Emam, Micah Goldblum, Liam H Fowl, J K Terry, Furong Huang, Tom Goldstein
- Published: 09 Dec 2020, Last Modified: 22 Oct 2023
- ICBINB 2020 Spotlight
- Readers: Everyone
Decision-Aware Model Learning for Actor-Critic Methods: When Theory Does Not Meet Practice
Ângelo Gregório Lovatto, Thiago Pereira Bueno, Denis Mauá, Leliane Nunes de Barros
- Published: 09 Dec 2020, Last Modified: 05 May 2023
- ICBINB 2020 Spotlight
- Readers: Everyone
Less can be more in contrastive learning
Jovana Mitrovic, Brian McWilliams, Melanie Rey
- Published: 09 Dec 2020, Last Modified: 05 May 2023
- ICBINB 2020 Poster
- Readers: Everyone
Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning?
Matthias Rosynski, Frank Kirchner, Matias Valdenegro-Toro
- Published: 09 Dec 2020, Last Modified: 05 May 2023
- ICBINB 2020 Poster
- Readers: Everyone
Why Are Bootstrapped Deep Ensembles Not Better?
Jeremy Nixon, Balaji Lakshminarayanan, Dustin Tran
- Published: 09 Dec 2020, Last Modified: 05 May 2023
- ICBINB 2020 Poster
- Readers: Everyone
Temperature Scaling for Quantile Calibration
Saiteja Utpala, Piyush Rai
- Published: 09 Dec 2020, Last Modified: 05 May 2023
- ICBINB 2020 Poster
- Readers: Everyone
Self-Tuning Stochastic Optimization with Curvature-Aware Gradient Filtering
Ricky T. Q. Chen, Dami Choi, Lukas Balles, David Duvenaud, Philipp Hennig
- Published: 09 Dec 2020, Last Modified: 05 May 2023
- ICBINB 2020 Oral
- Readers: Everyone
Problems using deep generative models for probabilistic audio source separation
Maurice Frank, Maximilian Ilse
- Published: 09 Dec 2020, Last Modified: 05 May 2023
- ICBINB 2020 Spotlight
- Readers: Everyone
Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning
Emilio Jorge, Hannes Eriksson, Christos Dimitrakakis, Debabrota Basu, Divya Grover
- Published: 09 Dec 2020, Last Modified: 05 May 2023
- ICBINB 2020 Oral
- Readers: Everyone
The Curious Case of Stacking Boosted Relational Dependency Networks
Siwen Yan, Devendra Singh Dhami, Sriraam Natarajan
- Published: 09 Dec 2020, Last Modified: 05 May 2023
- ICBINB 2020 Spotlight
- Readers: Everyone
A bumpy journey: exploring deep Gaussian mixture models
Margot Selosse, Claire Gormley, Julien Jacques, Christophe BIERNACKI
- Published: 09 Dec 2020, Last Modified: 05 May 2023
- ICBINB 2020 Spotlight
- Readers: Everyone
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models
Fan Bao, Kun Xu, Chongxuan Li, Lanqing HONG, Jun Zhu, Bo Zhang
- Published: 09 Dec 2020, Last Modified: 05 May 2023
- ICBINB 2020 Oral
- Readers: Everyone
Toward a Generalization Metric for Deep Generative Models
Hoang Thanh-Tung, Truyen Tran
- Published: 09 Dec 2020, Last Modified: 22 Oct 2023
- ICBINB 2020 Poster
- Readers: Everyone
A case for new neural networks smoothness constraints
Mihaela Rosca, Theophane Weber, Arthur Gretton, Shakir Mohamed
- Published: 09 Dec 2020, Last Modified: 05 May 2023
- ICBINB 2020 Poster
- Readers: Everyone