Balanced Learning

Ask about this topic

Recent momentum

-87%

1 papers in the last 28 days · 0.0% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Weekly history

Recent digests

What was published in this topic, kept on the site without email delivery.

Period ending 2026-09-14

1 new paper

A weekly snapshot of new work published in Balanced Learning.

39 papers

Latest in Balanced Learning

Open your feed →
CardsList

  1. The Illusion of Balanced Multimodal Sentiment Analysis: Beyond the Limits of Optimization-Based Methods

    Sep 11, 2026Ioanna Kaffeza, Efthymios Georgiou, Alexandros PotamianosSentiment AnalysisBalanced Learning

  2. Multi-perspective Imbalance-Conscious 6G Beamforming Optimization and Performance

    Aug 13, 2026Chukwunonso Henry Nwokoye, Blessing Oluchi Iloka, Chikwue V. Umeugoji +2BeamformingMachine Learning

  3. Confusion-Geometry Rebalancing for Long-Tailed Adversarial Training

    Aug 10, 2026Mengnan Zhao, Geyong Min, Lihe Zhang +2Adversarial TransferabilityBalanced Learning

  4. MobiWave: Dispatch-Oriented Graph Wavelets and Drift-Guided Selective Optimization for Autonomous Fleet Rebalancing

    Jul 27, 2026Xiao Han, Pinbo Wang, Yuanshao Zhu +2Balanced LearningBike-Sharing Systems

  5. \k{appa}-LoRA: Condition Numbers Reveal Which LoRA Matrices Worth Updating

    Jul 24, 2026Jianghui Wang, Silong Yong, Francesco Orabona +3Low-Rank FactorizationFinetuning

  6. Class-Balanced Softmax: A Bayes Theory-Based Method for Long-Tailed Recognition

    Jul 24, 2026Yi-Hang Zhu, Rajeev Raman, Shiqi Su +4Extreme Class ImbalanceBalanced Learning

  7. 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 MinimizationAdaptive Sampling

  8. Real-Time Semantic Segmentation with Optimized RetinaNet Architectures for Embedded Automotive Systems

    Jul 21, 2026Sai Sidharth DReal-Time Semantic SegmentationVehicle Detection

  9. SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark

    Jul 20, 2026Sania Bano, Shahzad Ahmad, Santosh Kumar Vipparthi +2Emotion RecognitionMultimodal Dataset

  10. 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 BatteriesUseful Life Prediction

  11. Pretraining Curricula Enable Selective Fine-tuning

    Jul 6, 2026Sebastian A. Bruijns, Jirko Rubruck, Mia H. Whitefield +3CurriculumSafety Alignment

  12. Adaptive Loss Balancing for Multi-Task Bioacoustic Classification of Bird Species and Call Types

    Jul 3, 2026Paria Vali Zadeh, Sven TomfordeAcoustic SensingBalanced Learning

  13. Exposure Bias Can Alleviate Itself via Directional and Frequency Rectification in Flow Matching

    Jun 26, 2026Guanbo Huang, Jingjia Mao, Fanding Huang +9RectificationFrequency-Aware Structural Aggregation

  14. APEX4: Efficient Pure W4A4 LLM Inference via Intra-SM Compute Rebalancing

    Jun 7, 2026Hong Guo, Nianhui Guo, Weixing Wang +3Tensor ProgramsLLM Inference Efficiency

  15. Adaptive Loss Balancing for Noise-Robust GRPO in Generative Recommendation

    Jun 7, 2026Kewei Xu, Junbo Qi, Yanyan Zou +3Reward GradientsRecommendation

  16. Adaptive Calibration for Fair and Performant Facial Recognition

    Jun 3, 2026Ryan Brown, Chris RussellFace Recognition SystemsFairness-Aware Learning

  17. Towards Compact Autonomous Driving Perception with Balanced Learning and Multi-sensor Fusion

    Jun 2, 2026Oskar Natan, Jun MiuraVehicle DetectionMulti-Sensor Fusion

  18. RADE: Random Add-Drop Edge as a Regularizer

    May 30, 2026Danial Saber, Amirali Salehi-AbariGraph Neural NetworksRegularization Methods

  19. 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 ThingIntrusion Detection

  20. 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 DetectionPseudo-Labeling

  21. A Reproducible Log-Driven AutoML Framework for Interpretable Pipeline Optimization in Healthcare Risk Prediction

    May 19, 2026Rui Huang, Lican HuangMachine Learning FrameworkBalanced Learning

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

    May 18, 2026Tim Tsz-Kit Lau, Weijie SuOptimizer DesignEquivariance

  23. Balancing Knowledge Distillation for Imbalance Learning with Bilevel Optimization

    May 18, 2026Anh B. H. Nguyen, Ba Tho Phan, Viet Cuong TaHeterogeneous Knowledge DistillationBalanced Learning

  24. φ-Balancing for Mixture-of-Experts Training

    May 14, 2026Lizhang Chen, Jonathan Li, Qi Wang +5Balanced LearningExperts

  25. Fully Dynamic Rebalancing in Dockless Bike-Sharing Systems via Deep Reinforcement Learning

    May 14, 2026Edoardo Scarpel, Alberto Pettena, Matteo Cederle +3Bike-Sharing SystemsBalanced Learning

  26. Toward an Engineering of Science: Rebalancing Generation and Verification in the Age of AI

    May 11, 2026Jiaqi W. MaArtificial Intelligence ScientistsScientific Discovery

  27. Per-Loss Adapters for Gradient Conflict in Physics-Informed Neural Networks

    May 11, 2026Bum Jun Kim, Gnankan Landry Regis N'guessanConventional Physics-Informed Neural NetworksBalanced Learning

  28. Refresh-Scaling the Memory of Balanced Adam

    May 11, 2026Alberto Fernández-Hernández, Cristian Pérez-Corral, Jose I. Mestre +2AdamBalanced Learning

  29. ReLibra: Routing-Replay-Guided Load Balancing for MoE Training in Reinforcement Learning

    May 9, 2026Chao Jin, Xinming Wei, Yinmin Zhong +6Balanced LearningLarge Language Model Training

  30. Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions

    May 8, 2026Marwane Hariat, Antoine Manzanera, David FilliatDepth EstimationOptical Flow

  31. Hessian Surgery: Class-Targeted Post-Hoc Rebalancing via Hessian Spike Perturbation

    May 8, 2026Hugo Vigna, Samuel BontempsHessian EigenvalueBalanced Learning

  32. Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning

    May 4, 2026Shihao Hou, Chikai Shang, Zhiheng Yang +5FinetuningPersonalization

  33. Adaptive Equilibrium: Dynamic Weighting Framework for Generalized Interruption of DeepFake Models

    May 1, 2026Hongrui Zheng, Liejun Wang, Zhiqing GuoDeepfake DetectionGenerative Adversarial Network

  34. Improving Facial Emotion Recognition through Dataset Merging and Balanced Training Strategies

    Apr 22, 2026Serap KırbızCross-Spectral Through-Glass Face DatasetExtreme Class Imbalance

  35. Physics-Informed Neural Networks with Learnable Loss Balancing and Transfer Learning

    Apr 17, 2026Reza PirayeshshirazinezhadTransfer LearningFluid Dynamics

  36. KISS-IMU: Self-supervised Inertial Odometry with Motion-balanced Learning and Uncertainty-aware Inference

    Mar 6, 2026Jiwon Choi, Hogyun Kim, Geonmo Yang +2Inertial OdometryInertial Measurement Units

  37. 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 ImagesScene Luminance

  38. DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning Collections

    Aug 16, 2025Haebin Shin, Lei Ji, Xiao Liu +4Multimodal Instruction TuningInstruction Tuning

  39. BiasBench: A reproducible benchmark for tuning the biases of event cameras

    Apr 25, 2025Andreas Ziegler, David Joseph, Thomas Gossard +2CameraComputer Vision