generalization - Robuta Search

https://imbue.com/podcast/2021-04-01-podcast-episode-9-drew-linsley/

Drew Linsley, Brown: On inductive biases for vision and generalization - imbue

RSS · Spotify · Apple Podcasts · Pocket Casts Drew is also organizing an ICLR 2021 workshop named Generalization Beyond the Training…

drew linsley brown inductive biases

https://deepai.org/publication/clusterfit-improving-generalization-of-visual-representations

ClusterFit: Improving Generalization of Visual Representations | DeepAI

12/06/19 - Pre-training convolutional neural networks with weakly-supervised and self-supervised strategies is becoming increasingly popular ...

improving generalization visual representations

https://www.kth.se/math/kalender/thomas-blom-a-generalization-of-the-arone-ching-chain-rule-1.1301506?date=2023-12-12&orgdate=2023-05-26&length=1&orglength=0

Thomas Blom: A generalization of the Arone-Ching chain rule | KTH

thomas blom chain rule generalization arone ching

https://www.kth.se/eecs/kalender/an-information-theoretic-approach-to-generalization-theory-1.1328595?date=2024-04-23&orgdate=2024-04-03&length=1&orglength=0

An Information-Theoretic Approach to Generalization Theory | KTH

an information theoretic approach generalization theory

https://www.kth.se/math/kalender/masato-tsujii-virtually-expanding-dynamics-a-generalization-of-expanding-maps-from-the-view-point-of-micro-local-analysis-1.1202064?date=2022-11-10&orgdate=2022-09-27&length=1&orglength=0

Masato Tsujii: Virtually expanding dynamics - a generalization of expanding maps from the view...

masato tsujii virtually expanding dynamics

https://deepai.org/publication/neuron-activation-coverage-rethinking-out-of-distribution-detection-and-generalization

Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization | DeepAI

06/05/23 - The out-of-distribution (OOD) problem generally arises when neural networks encounter data that significantly deviates from the tr...

out of neuron activation coverage rethinking

https://aclanthology.org/2020.findings-emnlp.333/

Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading...

Adyasha Maharana, Mohit Bansal. Findings of the Association for Computational Linguistics: EMNLP 2020. 2020.

search for adversarial augmentation policy domain

https://arxiv.org/abs/2304.04494v1

[2304.04494v1] Improved Test-Time Adaptation for Domain Generalization

Abstract page for arXiv paper 2304.04494v1: Improved Test-Time Adaptation for Domain Generalization

improved test time adaptation domain

https://scirp.org/journal/papercitationdetails?paperid=100875&JournalID=2463

Generalization of Stirling Number of the Second Kind and Combinatorial Identity

The Stirling numbers of second kind and related problems are widely used in combinatorial mathematics and number theory, and there are a lot of research...

stirling number the second generalization kind combinatorial

https://arxiv.org/abs/2210.02913

[2210.02913] Biological neurons act as generalization filters in reservoir computing

Abstract page for arXiv paper 2210.02913: Biological neurons act as generalization filters in reservoir computing

biological neurons act generalization filters

https://openreview.net/forum?id=llza_S8mHT-&referrer=%5Bthe%20profile%20of%20Jeremy%20Cohen%5D(%2Fprofile%3Fid%3D~Jeremy_Cohen1)

On the Maximum Hessian Eigenvalue and Generalization | OpenReview

The mechanisms by which certain training interventions, such as increasing learning rates and applying batch normalization, improve the generalization of deep...

on the maximum hessian eigenvalue generalization

https://aax.my.id/impact-of-transfer-learning-methods-and-dataset-characteristics-on-generalization-in-birdsong-classification.html

Impact of transfer learning methods and dataset characteristics on generalization in birdsong...

transfer learning impact methods dataset characteristics

https://deepai.org/publication/assaying-out-of-distribution-generalization-in-transfer-learning

Assaying Out-Of-Distribution Generalization in Transfer Learning | DeepAI

07/19/22 - Since out-of-distribution generalization is a generally ill-posed problem, various proxy targets (e.g., calibration, adversarial r...

out of transfer learning assaying distribution generalization

https://openreview.net/forum?id=w97lDmoD0U&referrer=%5Bthe%20profile%20of%20Marzyeh%20Ghassemi%5D(%2Fprofile%3Fid%3D~Marzyeh_Ghassemi2)

Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations |...

Benchmarks for out-of-distribution (OOD) generalization often reveal a strong positive correlation between in-distribution (ID) and OOD accuracy across models,...

out of spurious correlations aggregation hides distribution

https://openreview.net/forum?id=JDnLXc4NOn

Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data | OpenReview

Few-shot learning is valuable in many real-world applications, but learning a generalizable model without overfitting to the few labeled datapoints is...

improving shot generalization exploring exploiting

https://lelis-research.github.io/Common-Benchmarks-Undervalue-the-Generalization-Power-of-Programmatic-Policies/

Common Benchmarks Undervalue the Generalization Power of Programmatic Policies

common benchmarks generalization power policies

https://openreview.net/forum?id=frpKJVVd30&referrer=%5Bthe%20profile%20of%20Shubhendu%20Trivedi%5D(%2Fprofile%3Fid%3D~Shubhendu_Trivedi2)

Position Paper: Generalized grammar rules and structure-based generalization beyond classical...

Compositional generalization is one of the main properties which differentiates lexical learning in humans from state-of-art neural networks. We propose a...

position paper generalized grammar rules structure

https://knowyourmeme.com/sensitive/memes/fandom-generalization-fans-when

Fandom Generalization / Fans When | Know Your Meme

Fandom Generalization, also known as Fans When and Fans Explaining, refers to a series of memes, particularly GIF captions, which ascribe various false or

know your meme fandom generalization fans

https://deepai.org/publication/theoretical-issues-in-deep-networks-approximation-optimization-and-generalization

Theoretical Issues in Deep Networks: Approximation, Optimization and Generalization | DeepAI

08/25/19 - While deep learning is successful in a number of applications, it is not yet well understood theoretically. A satisfactory theoret...

in deep theoretical issues networks approximation

https://arxiv.org/abs/1306.3142

[1306.3142] On quantum Renyi entropies: a new generalization and some properties

Abstract page for arXiv paper 1306.3142: On quantum Renyi entropies: a new generalization and some properties

renyi entropies a new quantum generalization

https://cavaa.eu/news/details/cavaa-seminar-on-generalization-of-sequential-episodic-control

CAVAA seminar on 'Generalization of sequential episodic control' - CAVAA

Date: January 30, 2023 Speaker: Ismael Freire Gonzalez Affiliation: SRU Event: CAVAA online seminar Title/Topic: Generalization of sequential episodic control

seminar generalization sequential episodic control

https://imbue.com/research/avalon/

Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds (NeurIPS Spotlight...

We’ve learned a lot from doing research in Avalon over the past year! Internally, we’ve extended it to deal with multiple agents, and…

procedurally generated avalon benchmark rl generalization

https://pubmed.ncbi.nlm.nih.gov/31840577/?dopt=Abstract

Studying language in context using the temporal generalization method

The temporal generalization method (TGM) is a data analysis technique that can be used to test if the brain's representation for particular stimuli (e.g....

studying language context using temporal

https://github.com/vcl-iisc/fedMAN

GitHub - vcl-iisc/fedMAN: Enhancing federated learning algorithms by improving generalization...

Enhancing federated learning algorithms by improving generalization capability of neural networks. - vcl-iisc/fedMAN

federated learning github vcl iisc enhancing

https://www.uoguelph.ca/mathstat/node/504

A Generalization of Kruskal's Theorem on Tensor Decomposition | Department of Mathematics &...

tensor decomposition generalization kruskal theorem department

https://openreview.net/forum?id=BeGnZwhsZ9&referrer=%5Bthe%20profile%20of%20Austin%20W.%20Hanjie%5D(%2Fprofile%3Fid%3D~Austin_W._Hanjie1)

Semantic Supervision: Enabling Generalization over Output Spaces | OpenReview

We propose a unified paradigm for supervised classification called semantic supervision (SemSup) which enables generalization to unseen outputs (e.g., classes,...

semantic supervision enabling generalization output

https://openreview.net/forum?id=lgFEdHjOl8&referrer=%5Bthe%20profile%20of%20Core%20Francisco%20Park%5D(%2Fprofile%3Fid%3D~Core_Francisco_Park1)

Swing-by Dynamics in Concept Learning and Compositional Generalization | OpenReview

concept learning swing dynamics compositional generalization

https://deepai.org/publication/aas-vc-on-the-generalization-ability-of-automatic-alignment-search-based-non-autoregressive-sequence-to-sequence-voice-conversion

AAS-VC: On the Generalization Ability of Automatic Alignment Search based Non-autoregressive...

09/14/23 - Non-autoregressive (non-AR) sequence-to-seqeunce (seq2seq) models for voice conversion (VC) is attractive in its ability to effect...

on the aas vc generalization ability

https://aclanthology.org/2021.tacl-1.74/

Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness...

Paula Czarnowska, Yogarshi Vyas, Kashif Shah. Transactions of the Association for Computational Linguistics, Volume 9. 2021.

social biases nlp generalization empirical

https://openreview.net/forum?id=nZmAwmi2gr&referrer=%5Bthe%20profile%20of%20L%C3%A9o%20Boisvert%5D(%2Fprofile%3Fid%3D~L%C3%A9o_Boisvert1)

AgentMerge: Enhancing Generalization in Fine-Tuned LLM Agents | OpenReview

Recent advancements in large language models (LLMs) have spurred interest in developing autonomous agents capable of performing complex tasks in a human-like...

enhancing generalization fine tuned llm

https://deepai.org/publication/improving-generalization-of-transformer-for-speech-recognition-with-parallel-schedule-sampling-and-relative-positional-embedding

Improving Generalization of Transformer for Speech Recognition with Parallel Schedule Sampling and...

11/01/19 - Transformer showed promising results in many sequence to sequence transformation tasks recently. It utilizes a number of feed-forw...

speech recognition improving generalization transformer parallel

https://openreview.net/forum?id=ImpizBSKcu

Dynamical Decoupling of Generalization and Overfitting in Large Two-Layer Networks | OpenReview

Understanding the inductive bias and generalization properties of large overparametrized machine learning models requires to characterize the dynamics of the...

dynamical decoupling generalization overfitting large two

https://www.informit.com/articles/article.aspx?p=1398623&seqNum=11

16.10 Generalization, Abstract Classes, Abstract Operations

This chapter provides a reference for frequently used UML class diagram notation.

generalization abstract classes operations

https://arxiv.org/abs/2308.03296v1

[2308.03296v1] Studying Large Language Model Generalization with Influence Functions

Abstract page for arXiv paper 2308.03296v1: Studying Large Language Model Generalization with Influence Functions

large language model studying generalization influence functions

https://openreview.net/forum?id=cH65nS5sOz

Subgraph Federated Learning for Local Generalization | OpenReview

Federated Learning (FL) on graphs enables collaborative model training to enhance performance without compromising the privacy of each client. However,...

federated learning subgraph local generalization

https://www.arxiv.org/abs/2208.13499

[2208.13499] Generalization In Multi-Objective Machine Learning

Abstract page for arXiv paper 2208.13499: Generalization In Multi-Objective Machine Learning

machine learning generalization multi objective

https://arxiv.org/html/2503.19605v3

Lean Formalization of Generalization Error Bound by Rademacher Complexity

generalization error rademacher complexity lean formalization bound

https://openreview.net/forum?id=rW3NVhKtQ2&referrer=%5Bthe%20profile%20of%20Xin%20Zheng%5D(%2Fprofile%3Fid%3D~Xin_Zheng4)

Test-Time Graph Rebirth: Serving GNN Generalization Under Distribution Shifts | OpenReview

Distribution shifts between training and test graphs typically lead to the decreased performance of graph neural networks (GNNs) with suboptimal generalization...

test time graph rebirth serving