Large Batch Training of Convolutional Networks | Paper Citation Record

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Large Batch Optimization for Deep Learning: Training BERT in 76 minutes cites this paper.

Large Batch Optimization for Deep Learning: Training BERT in 76 minutes Large Batch Training of Convolutional Networks

Reference 18

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Gradient Noise Convolution (GNC): Smoothing Loss Function for Distributed Large-Batch SGD cites this paper.

Gradient Noise Convolution (GNC): Smoothing Loss Function for Distributed Large-Batch SGD Large Batch Training of Convolutional Networks

Reference 26

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ZeRO: Memory Optimizations Toward Training Trillion Parameter Models cites this paper.

ZeRO: Memory Optimizations Toward Training Trillion Parameter Models Large Batch Training of Convolutional Networks

Reference 21

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Solving Rubik's Cube with a Robot Hand cites this paper.

Solving Rubik's Cube with a Robot Hand Large Batch Training of Convolutional Networks

Reference 118

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A Simple Framework for Contrastive Learning of Visual Representations cites this paper.

A Simple Framework for Contrastive Learning of Visual Representations Large Batch Training of Convolutional Networks

Reference 58

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Scaling Laws for Transfer cites this paper.

Scaling Laws for Transfer Large Batch Training of Convolutional Networks

Reference 155

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VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning cites this paper.

VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning Large Batch Training of Convolutional Networks

Reference 105

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Masked Autoencoders Are Scalable Vision Learners cites this paper.

Masked Autoencoders Are Scalable Vision Learners Large Batch Training of Convolutional Networks

Reference 66

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A General Language Assistant as a Laboratory for Alignment cites this paper.

A General Language Assistant as a Laboratory for Alignment Large Batch Training of Convolutional Networks

Reference 197

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Language Models (Mostly) Know What They Know cites this paper.

Language Models (Mostly) Know What They Know Large Batch Training of Convolutional Networks

Reference 275

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Vision Transformers Need Registers cites this paper.

Vision Transformers Need Registers Large Batch Training of Convolutional Networks

Reference 56

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Revisiting Feature Prediction for Learning Visual Representations from Video cites this paper.

Revisiting Feature Prediction for Learning Visual Representations from Video Large Batch Training of Convolutional Networks

Reference 50

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Observation 407ae796-a0b5-493e-9aad-65210c420069 · inbound

Revisiting Feature Prediction for Learning Visual Representations from Video cites this paper.

Revisiting Feature Prediction for Learning Visual Representations from Video Large Batch Training of Convolutional Networks

Reference 153

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Training Deep Learning Models with Norm-Constrained LMOs cites this paper.

Training Deep Learning Models with Norm-Constrained LMOs Large Batch Training of Convolutional Networks

Reference 215

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A Physics-Inspired Optimizer: Velocity Regularized Adam cites this paper.

A Physics-Inspired Optimizer: Velocity Regularized Adam Large Batch Training of Convolutional Networks

Reference 24

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Energy Consumption in Parallel Neural Network Training cites this paper.

Energy Consumption in Parallel Neural Network Training Large Batch Training of Convolutional Networks

Reference 5

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On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' cites this paper.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' Large Batch Training of Convolutional Networks

Reference 29

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Closed-Form Last Layer Optimization cites this paper.

Closed-Form Last Layer Optimization Large Batch Training of Convolutional Networks

Reference 15

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Seesaw: Accelerating Training by Balancing Learning Rate and Batch Size Scheduling cites this paper.

Seesaw: Accelerating Training by Balancing Learning Rate and Batch Size Scheduling Large Batch Training of Convolutional Networks

Reference 7

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Self-Supervised Learning with a Multi-Task Latent Space Objective cites this paper.

Self-Supervised Learning with a Multi-Task Latent Space Objective Large Batch Training of Convolutional Networks

Reference 58

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Unifying Contrastive and Generative Objectives for Visual Understanding and Text-to-Image Generation cites this paper.

Unifying Contrastive and Generative Objectives for Visual Understanding and Text-to-Image Generation Large Batch Training of Convolutional Networks

Reference 19

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Observation 3dc82b7b-110e-4a83-8a0c-fc2a11bfcd7c · inbound

AI Application Benchmarking: Power-Aware Performance Analysis for Vision and Language Models cites this paper.

AI Application Benchmarking: Power-Aware Performance Analysis for Vision and Language Models Large Batch Training of Convolutional Networks

Reference 18

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Communication-Efficient Gluon in Federated Learning cites this paper.

Communication-Efficient Gluon in Federated Learning Large Batch Training of Convolutional Networks

Reference 41

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When Losses Align: Gradient-Based Composite Loss Weighting for Efficient Pretraining cites this paper.

When Losses Align: Gradient-Based Composite Loss Weighting for Efficient Pretraining Large Batch Training of Convolutional Networks

Reference 35

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OrScale: Orthogonalised Optimization with Layer-Wise Trust-Ratio Scaling cites this paper.

OrScale: Orthogonalised Optimization with Layer-Wise Trust-Ratio Scaling Large Batch Training of Convolutional Networks

Reference 23

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Consolidation-Expansion Operator Mechanics:A Unified Framework for Adaptive Learning cites this paper.

Consolidation-Expansion Operator Mechanics:A Unified Framework for Adaptive Learning Large Batch Training of Convolutional Networks

Reference 42

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Consolidation-Expansion Operator Mechanics:A Unified Framework for Adaptive Learning cites this paper.

Consolidation-Expansion Operator Mechanics:A Unified Framework for Adaptive Learning Large Batch Training of Convolutional Networks

Reference 42

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Observation c4c6cdf8-01eb-43f2-8a68-cc5bf37c183e · inbound

ShardTensor: Domain Parallelism for Scientific Machine Learning cites this paper.

ShardTensor: Domain Parallelism for Scientific Machine Learning Large Batch Training of Convolutional Networks

Reference 53

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Observation 054a41a5-49a8-4afa-a1a1-181b840f75cf · inbound

Information theoretic underpinning of self-supervised learning by clustering cites this paper.

Information theoretic underpinning of self-supervised learning by clustering Large Batch Training of Convolutional Networks

Reference 154

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Convergence of difference inclusions via a diameter criterion cites this paper.

Convergence of difference inclusions via a diameter criterion Large Batch Training of Convolutional Networks

Reference 136

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Observation 5992d4d7-63d5-4d7c-873c-51f9aa8fee84 · inbound

Rethinking Neural Network Learning Rates: A Stackelberg Perspective cites this paper.

Rethinking Neural Network Learning Rates: A Stackelberg Perspective Large Batch Training of Convolutional Networks

Reference 7

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Observation 800d998a-0b4c-42c8-b31c-11643c796af4 · inbound

Rethinking Neural Network Learning Rates: A Stackelberg Perspective cites this paper.

Rethinking Neural Network Learning Rates: A Stackelberg Perspective Large Batch Training of Convolutional Networks

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-06-30T19:55:01.066572Z

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Accelerated Gradient Descent for Faster Convergence with Minimal Overhead cites this paper.

Accelerated Gradient Descent for Faster Convergence with Minimal Overhead Large Batch Training of Convolutional Networks

Reference 56

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T21:23:44.641716Z

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PEIRA: Learning Predictive Encoders through Inter-View Regressor Alignment cites this paper.

PEIRA: Learning Predictive Encoders through Inter-View Regressor Alignment Large Batch Training of Convolutional Networks

Reference 68

Resolution: verified exact; local_arxiv, observed 2026-05-20T13:43:19.538540Z

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Revisiting the Adam-SGD Gap in LLM Pre-Training: The Role of Large Effective Learning Rates cites this paper.

Revisiting the Adam-SGD Gap in LLM Pre-Training: The Role of Large Effective Learning Rates Large Batch Training of Convolutional Networks

Reference 12

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Symmetry-Compatible Principle for Optimizer Design: Embeddings, LM Heads, SwiGLU MLPs, and MoE Routers cites this paper.

Symmetry-Compatible Principle for Optimizer Design: Embeddings, LM Heads, SwiGLU MLPs, and MoE Routers Large Batch Training of Convolutional Networks

Reference 163

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Symmetry-Compatible Principle for Optimizer Design: Embeddings, LM Heads, SwiGLU MLPs, and MoE Routers cites this paper.

Symmetry-Compatible Principle for Optimizer Design: Embeddings, LM Heads, SwiGLU MLPs, and MoE Routers Large Batch Training of Convolutional Networks

Reference 166

Resolution: verified exact; local_arxiv, observed 2026-06-30T18:45:00.321169Z

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Scale-Invariant Neural Network Optimization: Norm Geometry and Heavy-Tailed Noise cites this paper.

Scale-Invariant Neural Network Optimization: Norm Geometry and Heavy-Tailed Noise Large Batch Training of Convolutional Networks

Reference 93

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Observation 7bb80b6d-5e53-4ad4-8955-0d2c87b7758e · inbound

Scale-Invariant Neural Network Optimization: Norm Geometry and Heavy-Tailed Noise cites this paper.

Scale-Invariant Neural Network Optimization: Norm Geometry and Heavy-Tailed Noise Large Batch Training of Convolutional Networks

Reference 135

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:55:48.574590Z

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Scalable Reinforcement Learning via Adaptive Batch Scaling cites this paper.

Scalable Reinforcement Learning via Adaptive Batch Scaling Large Batch Training of Convolutional Networks

Reference 18

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Scalable Reinforcement Learning via Adaptive Batch Scaling cites this paper.

Scalable Reinforcement Learning via Adaptive Batch Scaling Large Batch Training of Convolutional Networks

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:24:57.645906Z

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Observation 8121dd3c-5625-4345-8ac2-a40633c461a1 · inbound

One LR Doesn't Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs cites this paper.

One LR Doesn't Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs Large Batch Training of Convolutional Networks

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-22T07:44:42.670722Z

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Observation e9a303f1-aa0d-4451-af4e-933cde503842 · inbound

One LR Doesn't Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs cites this paper.

One LR Doesn't Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs Large Batch Training of Convolutional Networks

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:34:57.606238Z

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From One-Pass SGD to Data Reuse: Mini-Batch Scaling Laws in Sketched Linear Regression cites this paper.

From One-Pass SGD to Data Reuse: Mini-Batch Scaling Laws in Sketched Linear Regression Large Batch Training of Convolutional Networks

Reference 12

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Unified Neural Scaling Laws cites this paper.

Unified Neural Scaling Laws Large Batch Training of Convolutional Networks

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-06-29T23:44:03.347192Z

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Observation 02230bd6-51b6-4260-8d26-e487bbd9f6c0 · inbound

MONA: Muon Optimizer with Nesterov Acceleration for Scalable Language Model Training cites this paper.

MONA: Muon Optimizer with Nesterov Acceleration for Scalable Language Model Training Large Batch Training of Convolutional Networks

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:23:54.190890Z

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Gradient Perturbation: Learning to Perturb Gradients for Adaptive Training cites this paper.

Gradient Perturbation: Learning to Perturb Gradients for Adaptive Training Large Batch Training of Convolutional Networks

Reference 3

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Continual Visual and Verbal Learning Through a Child's Egocentric Input cites this paper.

Continual Visual and Verbal Learning Through a Child's Egocentric Input Large Batch Training of Convolutional Networks

Reference 80

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T07:46:46.279821Z

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Observation b3e8831b-0721-4f40-8f52-44bc08e9875e · inbound

SMI: Efficient Self-Supervised Learning via Mutual-Information-Inspired Dependency Optimization cites this paper.

SMI: Efficient Self-Supervised Learning via Mutual-Information-Inspired Dependency Optimization Large Batch Training of Convolutional Networks

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-02T21:37:24.775934Z

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Observation 4e7db590-e0f2-498b-9b0d-8bca223e2b6b · inbound

OrderDP: A Theoretically Guaranteed Lossless Dynamic Data Pruning Framework cites this paper.

OrderDP: A Theoretically Guaranteed Lossless Dynamic Data Pruning Framework Large Batch Training of Convolutional Networks

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-06-27T18:31:07.894671Z

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Observation 86d8f0e1-d7ac-4474-afad-f88e45eab2ea · inbound

OrderDP: A Theoretically Guaranteed Lossless Dynamic Data Pruning Framework cites this paper.

OrderDP: A Theoretically Guaranteed Lossless Dynamic Data Pruning Framework Large Batch Training of Convolutional Networks

Reference 129

Resolution: verified exact; local_arxiv, observed 2026-07-02T23:07:27.215803Z

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Observation 18a77217-3ce0-4da7-b72d-1d87a00024c9 · inbound

RCAP: Robust, Class-Aware, Probabilistic Dynamic Dataset Pruning cites this paper.

RCAP: Robust, Class-Aware, Probabilistic Dynamic Dataset Pruning Large Batch Training of Convolutional Networks

Reference 42

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:17:57.247646Z

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Observation 417fe08a-3981-4f24-9677-20114c735241 · inbound

LEAP: Layer-skipping Efficiency via Adaptive Progression for Vision Transformer Distillation cites this paper.

LEAP: Layer-skipping Efficiency via Adaptive Progression for Vision Transformer Distillation Large Batch Training of Convolutional Networks

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:29:16.777414Z

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SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Large Batch Training of Convolutional Networks

Reference 162

Resolution: verified exact; local_arxiv, observed 2026-07-04T09:59:44.836737Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 03497dd4-779e-458f-80a0-5f5623bb5e80 · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Large Batch Training of Convolutional Networks

Reference 162

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:55:59.454775Z

Source-reported events for the cited work

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Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors cites this paper.

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors Large Batch Training of Convolutional Networks

Reference 125

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f2ec9f3d-cd85-43b1-8b4a-1cd7605b4452 · inbound

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors cites this paper.

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors Large Batch Training of Convolutional Networks

Reference 90

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Curvature-Weighted Gradient Diversity: A Noise Measure for Geometry-Adaptive SGD Schedules cites this paper.

Curvature-Weighted Gradient Diversity: A Noise Measure for Geometry-Adaptive SGD Schedules Large Batch Training of Convolutional Networks

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-06-30T07:34:21.500959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3753eee2-05cc-4415-96a8-1515526e9942 · inbound

LionVote: Per-Layer Learning Rate Adaptation for Lion cites this paper.

LionVote: Per-Layer Learning Rate Adaptation for Lion Large Batch Training of Convolutional Networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-13T04:17:58.962415Z

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Unavailable: canonical work link unavailable.

Observation 3474dcef-4995-47ea-8416-90180d1f769b · inbound

M+Adam: Low-Precision Training via Additive-Multiplicative Optimization cites this paper.

M+Adam: Low-Precision Training via Additive-Multiplicative Optimization Large Batch Training of Convolutional Networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T10:29:19.000404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1fa8d58-4a0a-457c-9ab4-62addecdba3d · inbound

M+Adam: Low-Precision Training via Additive-Multiplicative Optimization cites this paper.

M+Adam: Low-Precision Training via Additive-Multiplicative Optimization Large Batch Training of Convolutional Networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T07:23:25.134837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dc59862-e3ab-48d3-892d-784b945a2ac8 · inbound

PsiLogic: Chaos-Aware Active Cancellation for Adam with a Fair Cross-Domain Benchmark cites this paper.

PsiLogic: Chaos-Aware Active Cancellation for Adam with a Fair Cross-Domain Benchmark Large Batch Training of Convolutional Networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T08:42:05.942052Z

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Unavailable: canonical work link unavailable.

Observation b23984c7-5cce-4ad0-a718-a220fb885fa6 · inbound

Backpropagation-Free Trunk Training via the Split Forward Gradients cites this paper.

Backpropagation-Free Trunk Training via the Split Forward Gradients Large Batch Training of Convolutional Networks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T20:29:59.024974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f33cc214-6673-4722-a1a7-a122be0ab08c · inbound

SOAP, Muon, and Beyond: Pushing LLM Pretraining Scales cites this paper.

SOAP, Muon, and Beyond: Pushing LLM Pretraining Scales Large Batch Training of Convolutional Networks

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-02T06:45:16.783035Z

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Unavailable: canonical work link unavailable.

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