Empirical Study: 2024

• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper

• avatar

Empirical Study: 2023

• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper

Empirical Study: 2022

• [paper
• [paper
• [paper
• [paper
• [paper - lab.github.io/Harmonization/)
• [paper
• [paper - dice-optimize/)
• [paper
• [paper
• [paper
• [paper
• [paper - transfer)
• [paper
• [paper
• [paper - demonstrations)

Empirical Study: 2021

• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper - Transformers-without-Natural-Images/)
• [paper
• [paper - of-stability)
• [paper - Pretrained-ResNet-PyTorch)

Empirical Study: 2020

• [paper - research/understanding-curricula)
• [paper - generalization-measures)
• [paper - bootstrap-code)
• [paper
• [paper
• [paper - research/understanding-transfer-learning)
• [paper
• [paper
• [paper
• [paper
• [paper

Empirical Study: 2019

• [paper
• [paper - of-Complexity-Measures-for-Deep-Learning-Generalization-in-Medical-Image-Analysis)
• [paper
• [paper - MAML)
• [paper - search)
• [paper
• [paper
• [paper
• [paper - co/procedural-advml)
• [paper
• [paper - probes)
• [paper - of-local-features-models)
• [paper
• [paper
• [paper

Empirical Study: 2018

• [paper
• [paper - research/disentanglement_lib)
• [paper
• [paper
• [paper - rotation-paper-experiments)
• [paper

Empirical Study: 2017

• [paper
• [paper
• [paper

Empirical Study: 2016

• [paper

Interactions with Neuroscience: 2023

• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper - probing-paper)
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper

Interactions with Neuroscience: 2019

• [paper
• [paper - lab/RetinalResources)
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper

Emergence and Phase Transitions: 2020

• avatar

Interactions with Neuroscience: 2022

• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper - pcn)
• [paper
• [paper - lab/robustness-development)
• [paper - robust-periphery)
• [paper

Interactions with Neuroscience: 2021

• [paper
• [paper - vs-human)
• [paper

Interactions with Neuroscience: 2020

• [paper
• [paper
• [paper
• [paper - lab/error-consistency)
• [paper
• [paper
• [paper - perspective)

Interactions with Neuroscience: 2018

• [paper - ImageNet)
• [paper - humans-DNNs)

Interactions with Neuroscience: 2017

• [paper - recognition)

Others: 2016

• Awesome Information Bottleneck Paper List - DEEP/Awesome-Information-Bottleneck) 
• Neural Tangent Kernel Papers - Papers) 
• Awesome Feature Learning in Deep Learning Theory - Feature-Learning-in-Deep-Learning-Thoery) 
• Awesome Trustworthy Deep Learning - trustworthy-deep-learning) 
• Off the Convex Path Blog
• Francis Bach: Machine Learning Research Blog
• [paper
• John Langford: Machine Learning (Theory) Blog

Lottery Ticket Hypothesis: 2024

• [paper

Deep Double Descent: 2018

• avatar

Lottery Ticket Hypothesis: 2023

• [paper
• [paper
• [paper
• [paper
• [paper - SAP)
• [paper - Group/SMC-Bench)
• [paper - Deep-Neural-Networks-from-a-Sparsity-Perspective)
• [paper - tse/why-the-state-of-pruning-so-confusing)
• [paper

Lottery Ticket Hypothesis: 2022

• [paper
• [paper
• [paper - Group/Audio-Lottery)
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper - EIC/SuperTickets)
• [paper
• [paper
• [paper
• [paper - Group/Double-Win-LTH)
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper - tangents)

Lottery Ticket Hypothesis: 2021

• [paper
• [paper
• [paper
• [paper - lab/degrees-of-freedom)
• [paper
• [paper - Group/PrAC-LTH)
• [paper
• [paper
• [paper
• [paper - Time-Over-Parameterization)
• [paper
• [paper

Lottery Ticket Hypothesis: 2020

• [paper
• [paper
• [paper - checking-pruning)
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper - lab/Synaptic-Flow)
• [paper - basel/neural-tangent-transfer)
• [paper
• [paper - ticket/rewinding-iclr20-public)
• [paper - Pruning-Greedy-Forward-Selection)
• [paper
• [paper
• [paper
• [paper

Lottery Ticket Hypothesis: 2019

• [paper
• [paper - networks)
• [paper - EIC/Early-Bird-Tickets)
• [paper - research/rigl)
• [paper
• [paper - public)
• [paper
• [paper - research/deconstructing-lottery-tickets)
• [paper - ashuha/variational-dropout-sparsifies-dnn)

Lottery Ticket Hypothesis: 2018

• [paper - public)
• [paper - research/lottery-ticket-hypothesis)

Neural Collapse: 2020

• [paper

Neural Collapse: 2023

• [paper
• [paper
• [paper
• [paper

Neural Collapse: 2022

• [paper
• [paper
• [paper
• [paper
• [paper
• [paper

Neural Collapse: 2021

• [paper
• [paper
• [paper
• [paper - Collapse)
• [paper

Neural Collapse: 2024

• [paper
• [paper
• [paper
• [paper

Neural Collapse: 2020

• avatar

Deep Double Descent: 2023

• [paper
• [paper
• [paper
• [paper - grok-dd)

Deep Double Descent: 2022

• [paper
• [paper - descent)
• [paper - double-descent)

Deep Double Descent: 2021

• [paper
• [paper
• [paper

Deep Double Descent: 2020

• [paper
• [paper - research/rigl)
• [paper
• [paper - lab/early_stopping_double_descent)
• [paper - descent-paper)
• [paper
• [paper - trouble-in-double-descent)
• [paper - BiasVariance-Tradeoff)
• [paper

Deep Double Descent: 2019

• [paper

Deep Double Descent: 2018

• [paper
• [paper

Others: 2017

• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper - bounds)

Others: 2016

• [paper
• [paper
• [paper
• [paper
• [paper - lab/deepchaos)

Others: 2023

• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper - inductivebiasesharmlessinterpolation)
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper - bias-complexity)
• [paper

Others: 2022

• [paper - pac-bayes)
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper - mae)
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper - epfl/regressionsphere)
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper

Others: 2021

• [paper
• [paper
• [paper
• [paper
• [paper - sparse-regularization)
• [paper
• [paper - neural-cdes)
• [paper
• [paper
• [paper
• [paper - Parametric-Transformers)
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper - zhuang/TorchDiffEqPack)

Others: 2024

• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper

Others: 2020

• [paper - research/OOD-failures)
• [paper - Lab-Berkeley/ReduNet)
• [paper - research/sam)
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper - kidger/NeuralCDE)
• [paper
• [paper - research/tree/master/dissecting-neural-odes)
• [paper
• [paper

Others: 2019

• [paper
• [paper
• [paper - field-fcdnn)
• [paper - lr-code)
• [paper
• [paper
• [paper
• [paper - neural-odes)
• [paper
• [paper
• [paper - 3-030-40245-7)
• [paper
• [paper - tangents)
• [paper
• [paper
• [paper

Others: 2018

• [paper
• [paper - training-CNN)
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper - as-gps/convnets-as-gps)
• [paper
• [paper
• [paper - research/mean-field-cnns)
• [paper
• [paper - parametrization)
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper - and-Intelligent-Systems/Analytical-Learning-Theory)
• [paper
• [paper
• [paper - andr/relu_networks_overconfident)

Lottery Ticket Hypothesis: 2018

• [paper
• [paper
• avatar

Emergence and Phase Transitions: 2023

• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper

Emergence and Phase Transitions: 2022

• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper

Emergence and Phase Transitions: 2021

• [paper
• [paper - tangents)

Emergence and Phase Transitions: 2020

• [paper

Emergence and Phase Transitions: 2024

• [paper
• [paper

Interactions with Neuroscience: 2017

• avatar

Information Bottleneck: 2023

• [paper
• [paper

Information Bottleneck: 2022

• [paper

Information Bottleneck: 2021

• [paper
• [paper - bayes-ib)
• [paper
• [paper - research/compressive-visual-representations)
• [paper - IRM)
• [paper
• [paper

Information Bottleneck: 2020

• [paper - stanford/GIB)
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper - paper-code)

Information Bottleneck: 2019

• [paper

Information Bottleneck: 2018

• [paper

Information Bottleneck: 2017

• [paper
• [paper
• Previous work - Plane visualization of DNNs.
• [paper

Information Bottleneck: 2017

• avatar

Neural Tangent Kernel: 2023

• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper
• [paper

Neural Tangent Kernel: 2022

• [paper
• [paper
• [paper
• [paper
• [paper - tangents)
• [paper
• [paper

Neural Tangent Kernel: 2021

• [paper
• [paper - ch/equiv-nn-svm)
• [paper
• [paper
• [paper - simon/shallow-learning)
• [paper - group/kernel-ood-generalization)
• [paper
• [paper

Neural Tangent Kernel: 2020

• [paper - and-MF-examples)\
• [paper
• [paper
• [paper - tangents)
• [paper - he/bayesian-ntk)
• [paper
• [paper
• [paper

Neural Tangent Kernel: 2019

• [paper
• [paper
• [paper
• [paper

Neural Tangent Kernel: 2018

• [paper
• [paper

Neural Tangent Kernel: 2024

• [paper
• [paper
• [paper