Top Tweets for #ReproducibilityCertification
New #ReproducibilityCertification:
Dynamics of the accelerated t-SNE
Kyoichi Iwasaki, Hideitsu Hino
https://t.co/f5Q9zULJGU
#embedding #visualizing #clustering
New #ReproducibilityCertification:
Reconciling Kaplan and Chinchilla Scaling Laws
Tim Pearce, Jinyeop Song
https://t.co/okwMBIA7Cs
#scaling #estimates #kaplan
New #ReproducibilityCertification:
AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks
Max Ku, Cong Wei, Weiming Ren, Huan Yang, Wenhu Chen
https://t.co/aipMvD5fSz
#anyv2v #editing #visual
New #ReproducibilityCertification:
GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data
Andrei Margeloiu, Nikola Simidjievski, Pietro Lio, Mateja Jamnik
https://t.co/NbmvGE2ugt
#datasets #gcondnet #graphs
New #ReproducibilityCertification:
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks
Yunzhen Feng, Tim G. J. Rudner, Nikolaos Tsilivis, Julia Kempe
https://t.co/oUQju9Ig8x
#adversarial #predictive #robustness
New #ReproducibilityCertification:
Chain-of-Thought Unfaithfulness as Disguised Accuracy
Oliver Bentham, Nathan Stringham, Ana Marasovic
https://t.co/FY0dFX0Ool
#faithfulness #models #bias
New #ReproducibilityCertification:
[Re] Classwise-Shapley values for data valuation
Markus Semmler, Miguel de Benito Delgado
https://t.co/JrzM3C5Nks
#classification #labels #accuracy
New #ReproducibilityCertification:
On the Reproducibility of: "Learning Perturbations to Explain Time Series Predictions"
Wouter Bant, Ádám Divák, Jasper Eppink, Floris Six Dijkstra
https://t.co/yoM1osGdGu
#ai #deep #learnable
New #ReproducibilityCertification:
'Explaining RL Decisions with Trajectories’: A Reproducibility Study
Karim Ahmed Abdel Sadek, Matteo Nulli, Joan Velja, Jort Vincenti
https://t.co/5iuFqfR3bx
#reinforcement #reproducibility #trajectories
New #ReproducibilityCertification:
Reproducibility Study of "Learning Perturbations to Explain Time Series Predictions"
Jiapeng Fan, Luke Cadigan, Paulius Skaisgiris, Sebastian Uriel Arias
https://t.co/dnW8u8SqZV
#extremalmask #outperformed #loss
New #ReproducibilityCertification:
Reproducibility Study of "Robust Fair Clustering: A Novel Fairness Attack and Defense Framework"
Iason Skylitsis, Zheng Feng, Idries Nasim, Camille Niessink
https://t.co/dBaVap7CGE
#adversarial #fairness #clustering
New #ReproducibilityCertification:
We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline
Simar Kareer, Vivek Vijaykumar, Harsh Maheshwari et al.
https://t.co/dR1Zfqi9Pu
#unifiedvideoda #adaptation #benchmarking
New #ReproducibilityCertification:
StarCoder: may the source be with you!
Raymond Li, Loubna Ben allal, Yangtian Zi et al.
https://t.co/jl44xFyeQd
#starcoderbase #starcoder #bigcode
New #ReproducibilityCertification:
Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Densi...
Florian Lalande, Kenji Doya
https://t.co/vPvLCIsMNc
#imputation #imputed #unobserved
New #ReproducibilityCertification:
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts
Rohit Agarwal, Deepak Gupta, Alexander Horsch, Dilip K. Prasad
https://t.co/T74NbWdCGd
#dropout #feature #features
New #ReproducibilityCertification:
A Stochastic Proximal Polyak Step Size
Fabian Schaipp, Robert M. Gower, Michael Ulbrich
https://t.co/5f9gVe0ni2
#regularization #proxsps #regularizer
New #ReproducibilityCertification:
Explaining Visual Counterfactual Explainers
Diego Velazquez, Pau Rodriguez, Alexandre Lacoste, Issam H. Laradji, Xavier Roca, Jordi Gonzàlez
https://t.co/ZPW5ubN0G5
#explainability #counterfactual #explanations
New #ReproducibilityCertification:
PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets
Shuo Sun, Molei Qin, Xinrun Wang, Bo An
https://t.co/Mn5Pyy9f3Q
#investment #investors #portfolio
New #ReproducibilityCertification:
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter
Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden
https://t.co/YLeDGQQtvD
#depth #monodepth_benchmark #maps
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