Balanced Learning

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Period ending 2026-09-21

1 new paper

A weekly snapshot of new work published in Balanced Learning.

Period ending 2026-09-14

1 new paper

A weekly snapshot of new work published in Balanced Learning.

41 papers

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Exact Quantile Balancing and Load-Error Injection for Mixture-of-Experts
Sep 23, 2026Pit Neitemeier, Jiaze Li, Alessio Serra +2Load Balancing Balanced Learning
Bounded Adjustment with Reliability-Guided Embedding for Imbalanced Learning with Noisy Labels
Sep 14, 2026Mushir Akhtar, Akarsh J., M. Tanveer +1Noisy Labels Extreme Class Imbalance
The Illusion of Balanced Multimodal Sentiment Analysis: Beyond the Limits of Optimization-Based Methods
Sep 11, 2026Ioanna Kaffeza, Efthymios Georgiou, Alexandros PotamianosModality Gap Sentiment Analysis
Multi-perspective Imbalance-Conscious 6G Beamforming Optimization and Performance
Aug 13, 2026Chukwunonso Henry Nwokoye, Blessing Oluchi Iloka, Chikwue V. Umeugoji +2Beamforming Machine Learning
Confusion-Geometry Rebalancing for Long-Tailed Adversarial Training
Aug 10, 2026Mengnan Zhao, Geyong Min, Lihe Zhang +2Adversarial Training Balanced Learning
EasyBalance: Cross-Layer Load Balancing in Distributed MoE Inference
Aug 8, 2026Yize Wu, Ke Gao, Ling Li +1Load Balancing Mixture-Of-Expert Inference
MobiWave: Dispatch-Oriented Graph Wavelets and Drift-Guided Selective Optimization for Autonomous Fleet Rebalancing
Jul 27, 2026Xiao Han, Pinbo Wang, Yuanshao Zhu +2Balanced Learning Multi-Drone Coordination
\k{appa}-LoRA: Condition Numbers Reveal Which LoRA Matrices Worth Updating
Jul 24, 2026Jianghui Wang, Silong Yong, Francesco Orabona +3Low-Rank Adaptation Low-Rank Factorization
Generalised Balanced Softmax: A Finite-Data Perspective on Logit Adjustment for Long-Tailed Recognition
Jul 24, 2026Yi-Hang Zhu, Rajeev Raman, Shiqi Su +4Extreme Class Imbalance Balanced Learning
From Perturbation Correction to Geometry-Aware Sampling: Sharpness-Guided Equilibrium Sampling for Balanced Flat Minima in Long-Tailed Learning
Jul 24, 2026Jiaxin Deng, Junbiao PangSharpness-Aware Minimization Balanced Learning
Real-Time Semantic Segmentation with Optimized RetinaNet Architectures for Embedded Automotive Systems
Jul 21, 2026Sai Sidharth DDense Semantic Segmentation Mobilenetv2
SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark
Jul 20, 2026Sania Bano, Shahzad Ahmad, Santosh Kumar Vipparthi +2Emotion Recognition Multimodal Dataset
Dynamic Loss Balancing for Joint SOH and RUL Prediction of Lithium-Ion Batteries via a Rotary SOH-Injected Prior Battery Transformer
Jul 19, 2026Shuhao Chen, Tianyu Shi, Yiwen Huang +1Lithium-Ion Batteries Useful Life Prediction
Pretraining Curricula Enable Selective Fine-tuning
Jul 6, 2026Sebastian A. Bruijns, Jirko Rubruck, Mia H. Whitefield +3Curriculum Balanced Learning
Adaptive Loss Balancing for Multi-Task Bioacoustic Classification of Bird Species and Call Types
Jul 3, 2026Paria Vali Zadeh, Sven TomfordePassive Acoustic Monitoring Bird
APEX4: Efficient Pure W4A4 LLM Inference via Intra-SM Compute Rebalancing
Jun 7, 2026Hong Guo, Nianhui Guo, Weixing Wang +3W4A4 Quantization Tensor Programs
Adaptive Loss Balancing for Noise-Robust GRPO in Generative Recommendation
Jun 7, 2026Kewei Xu, Junbo Qi, Yanyan Zou +3Reward Gradients Group Relative Policy Optimization
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing
Jun 2, 2026Xinming Wei, Chao Jin, Tuo Dai +10Load Balancing Mixture-Of-Expert Inference
Towards Compact Autonomous Driving Perception with Balanced Learning and Multi-sensor Fusion
Jun 2, 2026Oskar Natan, Jun MiuraAutonomous Driving Perception Multi-Sensor Fusion
A Minimal Bifurcation Model of Load Imbalance in a Softmax Mixture-of-Experts Router
May 27, 2026O. M. KiselevLoad Balancing Mixture-of-Experts Models
Enhancing Autonomous Online Intrusion Detection for IoT with Balanced Learning, Reliable Pseudo-Labels, and Lightweight Architectures
May 24, 2026Hanzala Afzaal, Danish Memon, Chouhdary Bilal Raza +1Internet Of Thing Intrusion Detection
Diffuse to Detect: Bi-Level Sample Rebalancing with Pseudo-Label Diffusion for Point-Supervised Infrared Small-Target Detection
May 20, 2026Zhu Liu, Yuanhang Yao, Ping Qian +2Infrared Small Target Detection Detection Framework
A Reproducible Log-Driven AutoML Framework for Interpretable Pipeline Optimization in Healthcare Risk Prediction
May 19, 2026Rui Huang, Lican HuangMachine Learning Hyperparameter Optimization
Balancing Knowledge Distillation for Imbalance Learning with Bilevel Optimization
May 18, 2026Anh B. H. Nguyen, Ba Tho Phan, Viet Cuong TaKnowledge Distillation Balanced Learning
$φ$ -Balancing for Mixture-of-Experts Training
May 14, 2026Lizhang Chen, Jonathan Li, Qi Wang +5Mixture-of-Experts Models Balanced Learning
Fully Dynamic Rebalancing in Dockless Bike-Sharing Systems via Deep Reinforcement Learning
May 14, 2026Edoardo Scarpel, Alberto Pettena, Matteo Cederle +3Balanced Learning Deep Reinforcement Learning
Toward an Engineering of Science: Rebalancing Generation and Verification in the Age of AI
May 11, 2026Jiaqi W. MaScientific Discovery Epistemic Actions
Per-Loss Adapters for Gradient Conflict in Physics-Informed Neural Networks
May 11, 2026Bum Jun Kim, Gnankan Landry Regis N'guessanConventional Physics-Informed Neural Networks Balanced Learning
Refresh-Scaling the Memory of Balanced Adam
May 11, 2026Alberto Fernández-Hernández, Cristian Pérez-Corral, Jose I. Mestre +2Adam Balanced Learning
ReLibra: Routing-Replay-Guided Load Balancing for MoE Training in Reinforcement Learning
May 9, 2026Chao Jin, Xinming Wei, Yinmin Zhong +6Load Balancing Mixture-of-Experts Models
Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions
May 8, 2026Marwane Hariat, Antoine Manzanera, David FilliatDepth Estimation Optical Flow
Hessian Surgery: Class-Targeted Post-Hoc Rebalancing via Hessian Spike Perturbation
May 8, 2026Hugo Vigna, Samuel BontempsCondition Number Balanced Learning
Adaptive Equilibrium: Dynamic Weighting Framework for Generalized Interruption of DeepFake Models
May 1, 2026Hongrui Zheng, Liejun Wang, Zhiqing GuoExplainable Deepfake Detection Deepfake Detection
Improving Facial Emotion Recognition through Dataset Merging and Balanced Training Strategies
Apr 22, 2026Serap KırbızFacial Recognition Extreme Class Imbalance
Physics-Informed Neural Networks with Learnable Loss Balancing and Transfer Learning
Apr 17, 2026Reza PirayeshshirazinezhadConventional Physics-Informed Neural Networks Transfer Learning
RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference
Apr 16, 2026Yuxin Liu, Yiqing Dong, Wenxue Yu +4Image Denoising Active Motor Noise Cancellation
KISS-IMU: Self-supervised Inertial Odometry with Motion-balanced Learning and Uncertainty-aware Inference
Mar 6, 2026Jiwon Choi, Hogyun Kim, Geonmo Yang +2Inertial Odometry Inertial Measurement Units
RL-AWB: Deep Reinforcement Learning for Auto White Balance Correction in Low-Light Night-time Scenes
Jan 8, 2026Yuan-Kang Lee, Kuan-Lin Chen, Chia-Che Chang +1Low-Light Images Balanced Learning
DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning Collections
Aug 16, 2025Haebin Shin, Lei Ji, Xiao Liu +4Multimodal Instruction Tuning Instruction Tuning
Efficient Learning of Balanced Signed Graphs via Sparse Linear Programming
Jun 2, 2025Haruki Yokota, Hiroshi Higashi, Yuichi Tanaka +1Graph Laplacians Graph Representation Learning
BiasBench: A reproducible benchmark for tuning the biases of event cameras
Apr 25, 2025Andreas Ziegler, David Joseph, Thomas Gossard +2Motion Blur Balanced Learning

Sep 23, 2026 · cs.LGJ/K move · Enter open · S save

Exact Quantile Balancing and Load-Error Injection for Mixture-of-Experts

Pit Neitemeier, Jiaze Li, Alessio Serra, Philipp Scholl+1

Mixture-of-Experts (MoE) training requires global load balance to prevent expert under-utilization and local balance for efficient expert-parallel execution. Existing distributed Quantile Balancing (QB) uses shard-dependent or approximate global quantiles, while token-independent expert biases cannot ensure microbatch-level balance. We introduce Exact Quantile Balancing (EQB), which computes exact global-batch BF16 quantiles with negligible communication, and Load-Error Injection (LEI), which injects local load errors directly into router-score gradients. On 7.5B-parameter MoEs trained for up to 500B tokens, EQB improves global balance and downstream performance over naive QB, while LEI improves local balance and outperforms the GShard loss at comparable quality.

Load Balancing Balanced Learning Mixed-Precision Quantization Well-Tuned Static Batching Policy

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