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ICBINB@NeurIPS
2021
2021
2021
Keyphrases
Publications
2021
Arno Blaas
,
Xavier Suau
,
Jason Ramapuram
,
Nicholas Apostoloff
,
Luca Zappella
Challenges of Adversarial Image Augmentations.
ICBINB@NeurIPS
(2021)
Nitya Kasturi
,
Igor L. Markov
Text Ranking and Classification using Data Compression.
ICBINB@NeurIPS
(2021)
Ali Borji
Shape Defense.
ICBINB@NeurIPS
(2021)
Mike Van Ness
,
Madeleine Udell
CDF Normalization for Controlling the Distribution of Hidden Nodes.
ICBINB@NeurIPS
(2021)
Rainer Kelz
,
Gerhard Widmer
Nonlinear Denoising, Linear Demixing.
ICBINB@NeurIPS
(2021)
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)
Dyah Adila
,
Dongyeop Kang
Understanding Out-of-distribution: A Perspective of Data Dynamics.
ICBINB@NeurIPS
(2021)
David Rohde
Causal Inference, is just Inference: A beautifully simple idea that not everyone accepts.
ICBINB@NeurIPS
(2021)
Ke Alexander Wang
,
Danielle C. Maddix
,
Yuyang Wang
GOPHER: Categorical probabilistic forecasting with graph structure via local continuous-time dynamics.
ICBINB@NeurIPS
(2021)
Anthony L. Caterini
,
Gabriel Loaiza-Ganem
Entropic Issues in Likelihood-Based OOD Detection.
ICBINB@NeurIPS
(2021)
Amélie Chatelain
,
Amine Djeghri
,
Daniel Hesslow
,
Julien Launay
Is the Number of Trainable Parameters All That Actually Matters?
ICBINB@NeurIPS
(2021)
Paulo Pirozelli
,
João F. N. Cortese
The Beauty Everywhere: How Aesthetic Criteria Contribute to the Development of AI.
ICBINB@NeurIPS
(2021)
Cian Eastwood
,
Ian Mason
,
Christopher K. I. Williams
Unit-level surprise in neural networks.
ICBINB@NeurIPS
(2021)
Soufiane Hayou
,
Arnaud Doucet
,
Judith Rousseau
The Curse of Depth in Kernel Regime.
ICBINB@NeurIPS
(2021)
volume 163, 2021
I (Still) Can't Believe It's Not Better! Workshop at NeurIPS 2021, Virtual Workshop, December 13, 2021.
ICBINB@NeurIPS
163 (2021)
2020
Ramiro Daniel Camino
,
Radu State
,
Christian A. Hammerschmidt
Oversampling Tabular Data with Deep Generative Models: Is it worth the effort?
ICBINB@NeurIPS
(2020)
Ilya Kavalerov
,
Wojciech Czaja
,
Rama Chellappa
A study of quality and diversity in K+1 GANs.
ICBINB@NeurIPS
(2020)
Jovana Mitrovic
,
Brian McWilliams
,
Mélanie Rey
Less can be more in contrastive learning.
ICBINB@NeurIPS
(2020)
Ricky T. Q. Chen
,
Dami Choi
,
Lukas Balles
,
David Duvenaud
,
Philipp Hennig
Self-Tuning Stochastic Optimization with Curvature-Aware Gradient Filtering.
ICBINB@NeurIPS
(2020)
Siwen Yan
,
Devendra Singh Dhami
,
Sriraam Natarajan
The Curious Case of Stacking Boosted Relational Dependency Networks.
ICBINB@NeurIPS
(2020)
Sachin Kumar
,
Yulia Tsvetkov
End-to-End Differentiable GANs for Text Generation.
ICBINB@NeurIPS
(2020)
Yannick Rudolph
,
Ulf Brefeld
,
Uwe Dick
Graph Conditional Variational Models: Too Complex for Multiagent Trajectories?
ICBINB@NeurIPS
(2020)
W. Ronny Huang
,
Zeyad Emam
,
Micah Goldblum
,
Liam Fowl
,
Justin K. Terry
,
Furong Huang
,
Tom Goldstein
Understanding Generalization Through Visualizations.
ICBINB@NeurIPS
(2020)
Ziyu Wang
,
Bin Dai
,
David Wipf
,
Jun Zhu
Further Analysis of Outlier Detection with Deep Generative Models.
ICBINB@NeurIPS
(2020)
Emilio Jorge
,
Hannes Eriksson
,
Christos Dimitrakakis
,
Debabrota Basu
,
Divya Grover
Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning.
ICBINB@NeurIPS
(2020)
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)
Maurice Frank
,
Maximilian Ilse
Problems using deep generative models for probabilistic audio source separation.
ICBINB@NeurIPS
(2020)
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)
Stella Biderman
,
Walter J. Scheirer
Pitfalls in Machine Learning Research: Reexamining the Development Cycle.
ICBINB@NeurIPS
(2020)
Mihaela Rosca
,
Theophane Weber
,
Arthur Gretton
,
Shakir Mohamed
A case for new neural network smoothness constraints.
ICBINB@NeurIPS
(2020)
Seungjae Jung
,
Kyung-Min Kim
,
Hanock Kwak
,
Young-Jin Park
A Worrying Analysis of Probabilistic Time-series Models for Sales Forecasting.
ICBINB@NeurIPS
(2020)
volume 137, 2020
"I Can't Believe It's Not Better!" at NeurIPS Workshops, Virtual, December 12, 2020
ICBINB@NeurIPS
137 (2020)