Subspace

Momentum

38 papers in the last four weeks, up 111% on the four weeks before. 0.5% of all new papers.

Jul 6Week of Sep 21

Latest papers 279

All topics
CardsList
  1. Continual Concept Erasure in Diffusion Models by Suppressing Cross-Edit Interference

    Oct 1, 2026Yongliang Wu, Haori Lu, Jinqi Luo +3Concept ErasureText-To-Image Diffusion Models

  2. HeadEdit: Calibrating Language Model Behavior Through the Frozen Unembedding Matrix

    Oct 1, 2026Zirui He, Haiyan Zhao, Jingyu Hu +5Large Language Model AlignmentTuning

  3. Signal-Noise Factorization Isolates Nuisance Variation into Removable Subspaces

    Sep 30, 2026Sakin Kirti, Joel ZylberbergRegularizationSubspace

  4. Learning Functional Subspaces for Neural Network Compression

    Sep 30, 2026Massimo Bini, Anders Christensen, Stephan Alaniz +5Large Language Model CompressionSubspace

  5. Awakening of the Buddha: Subspace Learning During Population-Loss Plateaus

    Sep 30, 2026Akash KumarAnisotropic Loss LandscapesSingular Learning Theory

  6. Concept Subspaces Compute Beyond the Logit Lens: A Weights-Only Test for Locating Representations Upstream of Readout

    Sep 30, 2026Aojie Yuan, Zhiyuan Julian Su, Haiyue Zhang +1SubspaceReadout

  7. Transolver-σσ: Joint Spectral-Physical Subspace Modeling for Neural PDE Solving

    Sep 29, 2026Haonan Shangguan, Hang Zhou, Haixu Wu +3Neural Partial Differential Equation SolversSubspace

  8. Measuring trainable degrees of freedom in materials graph neural networks: a random-subspace intrinsic dimension analysis

    Sep 28, 2026Shehroz Ahmad Shoaib, Kangming LiGraph Neural NetworksSubspace

  9. Handwritten Text Recognition Lives in the High-Pixel Variance Subspace

    Sep 28, 2026Carlos Garrido-Munoz, Jorge Calvo-ZaragozaHandwritten Text RecognitionHandwriting

  10. AIM-ZO: Activation-Informed Subspace Maintenance for Zeroth-Order LLM Fine-Tuning

    Sep 28, 2026Yue Xie, Zhi Zheng, Yunpeng Ba +5Large Language Model Fine-TuningContinual Fine-Tuning

  11. Distribution-Conditioned Task Routing for Class-Incremental Learning

    Sep 28, 2026Longhuan Xu, Zhipeng Zhou, Wei Ji +3Class-Incremental LearningSubspace

  12. SPACE-LoRA: Allocating Activation-Subspace Protection for Continual Learning

    Sep 28, 2026Seunghyun Yoo, Kiseok Kim, Hyeontae Joo +2Replay-Based Continual LearningCatastrophic Forgetting

  13. FAST-Brain: A Flow-Aligned Spatio-Temporal Surrogate Brain Model

    Sep 28, 2026Shucheng Liu, Changchun Shi, Kai Zhang +1SubspaceSpatiotemporal

  14. Principal Steering Subspaces for Online Adaptation of Frozen Generative Robot Policies

    Sep 27, 2026Jialeng Ni, Nathan Zhao, Kunpeng SongRobot PoliciesLatent Action Models

  15. PulseQuant: Propagation-Guided Subspace Correction for 4-Bit Video Diffusion Transformers

    Sep 27, 2026Yutong Wang, Xingtong Ge, Enhuai Liu +4Subspace

  16. Towards Identifiable Representations under Misspecified Structure

    Sep 27, 2026Yuke Li, Yujia Zheng, Ziyi Chen +2IdentifiabilityLatent Variable

  17. Q-WAM: 4-Bit Quantization of World Action Models with Action-Subspace Protection

    Sep 27, 2026Arash Akbari, Arman Akbari, Jingwu Luo +7Faster-WamWorld Models

  18. Looks the Same, Answers Differently: Flip-Direction Steering for Robust Vision-Language Reasoning

    Sep 23, 2026Yeonsung Jung, Joonhyun Jeong, Hoang Pham +4Visual ReasoningSteering

  19. A Native-Reference Coordinate Geometry for L2 Pronunciation Deviation Using Self-Supervised Speech Models

    Sep 23, 2026Tina Raissi, Nhan Phan, Mikko KurimoPronunciation AssessmentGrapheme-To-Phoneme

  20. SuperPCA: subspace analysis and an efficient algorithm for high-dimensional PCA

    Sep 22, 2026Irina-Beatrice Haas, Maike Meier, Yuji Nakatsukasa +1Principal Component AnalysisSubspace

  21. Beyond Uniform Subspaces: Spectrum-Aware and Depth-Adaptive Fusion for Multi-Task Model Merging

    Sep 21, 2026Ruxi Gu, Zilei Wang, Wei WangContinual Model MergingMulti--Task Learning

  22. CE4^4L: Continual Ego, Exo, and Ego-Exo Learning

    Sep 20, 2026Hongwei Yan, Kanglei Zhou, Yuchen Liu +3Replay-Based Continual LearningContinual Learning

  23. Online Supervised Dimension Reduction with Random Features: Diagnostics and Computational Trade-offs

    Sep 17, 2026Zhenlin Yao, Wei XiongPrincipal Component AnalysisSubspace

  24. Compressed Active Subspaces for Scalable Bayesian Inference

    Sep 17, 2026Thomas Flynn, Sanket Jantre, Byung-Jun Yoon +1SubspaceBayesian Inference

  25. Learning Array Signal Topologies as Conditional Neural Manifolds

    Sep 16, 2026Julian P. Merkofer, Vincent van de Schaft, Ruud J. G. van SlounMicrophone ArraySubspace

  26. Label-free steering: Compressing test-time reinforcement learning into bias-only subspaces

    Sep 16, 2026Naveen Vakada, Mingyuan Li, Shaoxiong JiStable Test-Time AdaptationTest-Time Adaptation

  27. Gradient Descent with Stochastic Subspaces via Persistence of Memory

    Sep 16, 2026Subhroshekhar Ghosh, Clement Z. Q. Ng, Pierre-Louis Poirion +1Stochastic Gradient DescentGradient Descent

  28. NObSP: Functional Decomposition of Neural Networks via Oblique Subspace Projections

    Sep 15, 2026Alexander Caicedo, Víctor De La Hoz, Santiago AlférezNeural NetworkSubspace

  29. Sharp Rates and a One-Line Correction for Spectral Representation Learning

    Sep 14, 2026Dier Tang, Jing Yee Tan, Guangyue HanSelf-Supervised RepresentationsSubspace

  30. Rotation-Based Subspace Tracking for Robust Kernel PCA on Streaming Data

    Sep 14, 2026Kris Lokere, John FossacecaPrincipal Component AnalysisSubspace

  31. Single-condition neural solvers encode transferable response spaces for parametric differential equations

    Sep 14, 2026Wenbo Cao, Weiwei ZhangNeural Partial Differential Equation SolversNeural Solvers

  32. SCOPE-OPSD: Fisher-Conditioned Privileged Subspaces for On-Policy Self-Distillation

    Sep 14, 2026Yunmeng Chen (Chongqing Ant Consumer Finance Co., Ltd), Kunyu Wang (Alibaba Cloud Computing Co. +18Unsupervised On-Policy Self-DistillationRp-Opsd

  33. Reliable Near-Field Multi-User Positioning Informed by Two-Stage MUSIC

    Sep 10, 2026Jiaying Li, Haifeng Wen, Changsheng You +2Indoor LocalizationSubspace

  34. From Cycle Space to Cycle Manifold: Limits and Achievability of Blind False Data Injection Attacks

    Sep 9, 2026Xin Li, Chenhan Xiao, Jonathan Cohen +3Real-World Cloud Fault Injection DatasetSubspace

  35. A Joint 2D-3D Statistical Shape Model for Orthopedic Reconstruction

    Sep 8, 2026Florence Dell'Aniello Picard, Pranav Poudel, Nairouz Shehata +23D ReconstructionStatistical Shape Model

  36. SIM: Subspace Interaction-based Method for Token-Level Text Anomaly Detection

    Sep 8, 2026Kehan Yan, Yue Tan, Qingfeng Chen +3Interpretable Anomaly DetectionText Analysis and Detection

  37. EigenLI: Spectral Approximations to Late Interaction

    Sep 7, 2026Archish S, Sabyasachi Basu, Ankit Garg +2SubspaceSpectral Decomposition

  38. Think Wider: Mitigating Latent Rank Collapse in Implicit Chain-of-Thought Reasoning

    Sep 7, 2026Yuwen Hao, Menglin YangEfficient Latent ReasoningChain-of-Thought Reasoning

  39. PLUME: Parameter-Efficient Personalization of Large Language Models via Low-Rank User Modulation in Shared Subspaces

    Sep 7, 2026Xinyu Li, Hao Zhou, Jianfeng Zhu +4Large Language Model PersonalizationPersonalization

  40. On the Interaction Between Model Compression and Test-Time Adaptation

    Sep 3, 2026Francesco Corti, Dong Wang, Young D. Kwon +2Stable Test-Time AdaptationCompressed Model

  41. Grassmann--Plücker Parametrization of Convolutional Filter Subspaces: Regularity and Closed Embeddings

    Sep 3, 2026Hongyu Yuan, Huaiqing ZuoSubspaceHilbert Series

  42. Routing Is Not Enough: Diagnosing Intra-Adapter Subspace Contention in MoE+LoRA Fine-Tuning

    Sep 2, 2026Mehreen Hossain Chowdhury, Nowshin Mahjabin, Ahmed Shafin Ruhan +3Subspace

  43. Subspace Levenberg Marquardt Algorithms in Training Neural Networks

    Sep 1, 2026M. Duc HoangNeural Network TrainingNeural Network

  44. Frozen Cores Need Task Signal: Fisher-Whitened Cross-Covariance for Low-Resource LLM Adaptation

    Sep 1, 2026Wentao Ye, Zhanming Shen, Zhiqing Xiao +3Large Language Model AdaptationFrozen

  45. Breaking the Structural Identity: Personalized Federated LoRA Fine-tuning under Rank Heterogeneity

    Sep 1, 2026Lei Wang, Jieming Bian, Letian Zhang +1Federated LearningModel Fine-Tuning

  46. PRIME: Mitigating Subgroup Optimization Competition in Shared CTR Top Networks with Plug-in Residual Input-Conditioned Mixture of Expert

    Aug 31, 2026Heng Yao, Siyun Hou, Tianying Liu +8Click-Through Rate PredictionSubspace

  47. Intrinsic Interaction Geometry Controls the Low-Rank Complexity of Softmax Attention

    Aug 28, 2026Yuhe Sui, Jianing Zhang, Yingzhi TangLow-Rank StructureSpectral Norm

  48. SubZero+: Memory-Efficient Adaptive Zeroth-Order LLM Fine-Tuning in Random Subspaces

    Aug 16, 2026Ziming Yu, Shuyao Xiao, Xingyu Zhao +6Zeroth-OrderLarge Language Model Fine-Tuning

  49. High-dimensional Multi-objective Bayesian Optimization with Learned Variable Interactions

    Aug 12, 2026Hongyan Wang, Jiayu Huang, Haotian Zheng +6Multi-Objective Bayesian Optimization AlgorithmsMulti-Objective Optimization