What happens to Adam if we turn off momentum and epsilon? If we set β₁=0, we get RMSprop. If we set β₁=β₂=0, we get signSGD. How well does signSGD with constant batch size converge? It doesn't. Not even with tiny stepsizes and overparameterization.

Overparameterization empowers deep learning, but in federated learning the data is heterogeneous across clients, which makes it very difficult. We just proved that the solution to this is 𝑜𝑣𝑒𝑟𝑝𝑒𝑟𝑠𝑜𝑛𝑎𝑙𝑖𝑧𝑎𝑡𝑖𝑜𝑛, and it's always achievable:.

A contrarian result I like a lot: smaller language models perform better on knowledge graphs than larger ones, as "overparameterization can impair reasoning due to excessive memorization".

[#NeurIPS2019] This evening poster (ID:216) on research done by our tech advisor Prof. Kenji Fukumizu at Preferred Networks. “Semi-flat minima and saddle points by embedding neural networks to overparameterization”. Paper: Slides:

Overparameterization isn't mysterious, if we stop parameter counting as a proxy for complexity. Our new paper "Rethinking Parameter Counting in Deep Models: Effective Dimensionality Revisited": With Wesley Maddox, @g_benton_. 1/7

Excited to share our paper on neural net overparameterization to appear at #ICML2021 💃🏻We asked why can’t training find a minimum in mildly overparameterized nets. Below, a 4-4-4 net can achieve a zero-loss, but any of 5-5-5 nets trained with GD can not🤨

Make some noise for SGD’s proper entrance to the blog! First part: how overparameterization might change the rules of the game.

一方で，深層学習はそのeffective dimensionalityにあたるものが何なのか，self regularizationとか最適化方法も絡んできていまいちよくわかっていない．なのでoverparameterization関連の理論研究が盛り上がっているという訳ですね．.

Check out our #ICLR2021 papers:. - Perceptual Adv. Robustness: - Influence Functions are Fragile: - Provable Defense against Poisoning: - Overparameterization in GANs: One more 👇

Stuffed Mamba: State Collapse and State Capacity of RNN-Based Long-Context Modeling. Study into the poor performance of RNNs at long context tasks. Found SC arises from state overparameterization relative to the training length. Gives 4 mitigations some training-free. Links below

#キャルちゃんのquantphチェック.MaxCut問題において古典的な最適化ランドスケープと、目的関数の評価に使われる量子回路との関係を調査。多量子ビット演算が必要となる箇所を特定、overparameterizationにより有利なランドスケープを得ることができることを示した。.

Did you know:.Studying the 👉Lie algebra👈 associated with a quantum neural network or parametrized quantum circuit can help you detect barren plateaus 🏜️ or study phenomena as overparameterization 📈. Tune in to my talk next week to learn more!

Tune in next Wednesday at 12:00 EDT for the next Physics ∩ ML seminar. You'll hear Ard Louis' insights on generalization, overparameterization, and connections to evolution. Sign up at

'DRM Revisited: A Complete Error Analysis', by Yuling Jiao, Ruoxuan Li, Peiying Wu, Jerry Zhijian Yang, Pingwen Zhang. . #overparameterization #overparameterized #deep.

Training Compact Neural Networks via Auxiliary Overparameterization.

Overparameterization must go on!."Why Having 10,000 Parameters in Your Camera Model is Better Than Twelve. Thomas Schöps, Viktor Larsson, @mapo1 , Torsten Sattler".#ComputerVision #Robotics

Neat paper alert!. Identity Crisis: Memorization and Generalization under Extreme Overparameterization Chiyuan Zhang Samy Bengio Moritz Hardt Yoram Singer . Interesting results. as usual, nice that it sheds more light on how the things we have work.

Congrats to Maddie Gillman on completing her honors thesis seminar today! The impacts of overparameterization and sampling bias on modeling the future distribution of California Valley Oak trees #undergraduateresearch #speciesdistributionmodeling

Our ICML workshop "Overparameterization: Pitfalls & Opportunities" will take place this Saturday. The updated schedule .and accepted papers can be found at . @QuanquanGu @HanieSedghi @yasamanbb

Spectral bias and task-model alignment explain generalization in kernel regression and infinitely wide neural networks."A theoretical understanding of generalization remains an open problem for many machine learning models, including deep networks where overparameterization leads