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GrowBag graphs for keyword ? (Num. hits/coverage)
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Results
Found 32 publication records. Showing 32 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Arno Blaas, Xavier Suau, Jason Ramapuram, Nicholas Apostoloff, Luca Zappella |
Challenges of Adversarial Image Augmentations.  |
ICBINB@NeurIPS  |
2021 |
DBLP BibTeX RDF |
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| 1 | Nitya Kasturi, Igor L. Markov |
Text Ranking and Classification using Data Compression. |
ICBINB@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Ali Borji |
Shape Defense. |
ICBINB@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Mike Van Ness, Madeleine Udell |
CDF Normalization for Controlling the Distribution of Hidden Nodes. |
ICBINB@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Rainer Kelz, Gerhard Widmer |
Nonlinear Denoising, Linear Demixing. |
ICBINB@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Chelsea Murray, James Urquhart Allingham, Javier Antorán, José Miguel Hernández-Lobato |
Addressing Bias in Active Learning with Depth Uncertainty Networks... or Not. |
ICBINB@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Dyah Adila, Dongyeop Kang |
Understanding Out-of-distribution: A Perspective of Data Dynamics. |
ICBINB@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | David Rohde |
Causal Inference, is just Inference: A beautifully simple idea that not everyone accepts. |
ICBINB@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Ke Alexander Wang, Danielle C. Maddix, Yuyang Wang 0001 |
GOPHER: Categorical probabilistic forecasting with graph structure via local continuous-time dynamics. |
ICBINB@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Melanie F. Pradier, Aaron Schein, Stephanie L. Hyland, Francisco J. R. Ruiz, Jessica Zosa Forde (eds.) |
I (Still) Can't Believe It's Not Better! Workshop at NeurIPS 2021, Virtual Workshop, December 13, 2021. |
ICBINB@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Anthony L. Caterini, Gabriel Loaiza-Ganem |
Entropic Issues in Likelihood-Based OOD Detection. |
ICBINB@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Amélie Chatelain, Amine Djeghri, Daniel Hesslow, Julien Launay |
Is the Number of Trainable Parameters All That Actually Matters? |
ICBINB@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Paulo Pirozelli, João F. N. Cortese |
The Beauty Everywhere: How Aesthetic Criteria Contribute to the Development of AI. |
ICBINB@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Cian Eastwood, Ian Mason, Christopher K. I. Williams |
Unit-level surprise in neural networks. |
ICBINB@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Soufiane Hayou, Arnaud Doucet, Judith Rousseau |
The Curse of Depth in Kernel Regime. |
ICBINB@NeurIPS |
2021 |
DBLP BibTeX RDF |
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| 1 | Ramiro Daniel Camino, Radu State, Christian A. Hammerschmidt |
Oversampling Tabular Data with Deep Generative Models: Is it worth the effort? |
ICBINB@NeurIPS |
2020 |
DBLP BibTeX RDF |
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| 1 | Ilya Kavalerov, Wojciech Czaja, Rama Chellappa |
A study of quality and diversity in K+1 GANs. |
ICBINB@NeurIPS |
2020 |
DBLP BibTeX RDF |
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| 1 | Jovana Mitrovic, Brian McWilliams, Mélanie Rey |
Less can be more in contrastive learning. |
ICBINB@NeurIPS |
2020 |
DBLP BibTeX RDF |
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| 1 | Ricky T. Q. Chen, Dami Choi, Lukas Balles, David Duvenaud, Philipp Hennig |
Self-Tuning Stochastic Optimization with Curvature-Aware Gradient Filtering. |
ICBINB@NeurIPS |
2020 |
DBLP BibTeX RDF |
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| 1 | Siwen Yan, Devendra Singh Dhami, Sriraam Natarajan |
The Curious Case of Stacking Boosted Relational Dependency Networks. |
ICBINB@NeurIPS |
2020 |
DBLP BibTeX RDF |
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| 1 | Sachin Kumar 0009, Yulia Tsvetkov |
End-to-End Differentiable GANs for Text Generation. |
ICBINB@NeurIPS |
2020 |
DBLP BibTeX RDF |
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| 1 | Yannick Rudolph, Ulf Brefeld, Uwe Dick |
Graph Conditional Variational Models: Too Complex for Multiagent Trajectories? |
ICBINB@NeurIPS |
2020 |
DBLP BibTeX RDF |
|
| 1 | W. Ronny Huang, Zeyad Emam, Micah Goldblum, Liam Fowl, Justin K. Terry, Furong Huang, Tom Goldstein |
Understanding Generalization Through Visualizations. |
ICBINB@NeurIPS |
2020 |
DBLP BibTeX RDF |
|
| 1 | Ziyu Wang 0006, Bin Dai, David Wipf, Jun Zhu 0001 |
Further Analysis of Outlier Detection with Deep Generative Models. |
ICBINB@NeurIPS |
2020 |
DBLP BibTeX RDF |
|
| 1 | Emilio Jorge, Hannes Eriksson, Christos Dimitrakakis, Debabrota Basu, Divya Grover |
Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning. |
ICBINB@NeurIPS |
2020 |
DBLP BibTeX RDF |
|
| 1 | Jessica Zosa Forde, Francisco J. R. Ruiz, Melanie F. Pradier, Aaron Schein (eds.) |
"I Can't Believe It's Not Better!" at NeurIPS Workshops, Virtual, December 12, 2020 |
ICBINB@NeurIPS |
2020 |
DBLP BibTeX RDF |
|
| 1 | Elliott Gordon-Rodríguez, Gabriel Loaiza-Ganem, Geoff Pleiss, John P. Cunningham |
Uses and Abuses of the Cross-Entropy Loss: Case Studies in Modern Deep Learning. |
ICBINB@NeurIPS |
2020 |
DBLP BibTeX RDF |
|
| 1 | Maurice Frank, Maximilian Ilse |
Problems using deep generative models for probabilistic audio source separation. |
ICBINB@NeurIPS |
2020 |
DBLP BibTeX RDF |
|
| 1 | Ângelo Gregório Lovatto, Thiago Pereira Bueno, Denis Deratani Mauá, Leliane N. de Barros |
Decision-Aware Model Learning for Actor-Critic Methods: When Theory Does Not Meet Practice. |
ICBINB@NeurIPS |
2020 |
DBLP BibTeX RDF |
|
| 1 | Stella Biderman, Walter J. Scheirer |
Pitfalls in Machine Learning Research: Reexamining the Development Cycle. |
ICBINB@NeurIPS |
2020 |
DBLP BibTeX RDF |
|
| 1 | Mihaela Rosca, Theophane Weber, Arthur Gretton, Shakir Mohamed |
A case for new neural network smoothness constraints. |
ICBINB@NeurIPS |
2020 |
DBLP BibTeX RDF |
|
| 1 | Seungjae Jung, Kyung-Min Kim, Hanock Kwak, Young-Jin Park |
A Worrying Analysis of Probabilistic Time-series Models for Sales Forecasting. |
ICBINB@NeurIPS |
2020 |
DBLP BibTeX RDF |
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