Uncoupled Learning

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7 papers in the last four weeks, up 133% on the four weeks before. 0.1% of all new papers.

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Latest papers 29

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BeatDance: Generating Beat-Consistent 3D Dance with Hierarchical Spatial-Temporal Modeling
Sep 29, 2026Xiaojian Shen, Dahu Shi, Jianrong Zhang +7Duet Temporal Dynamics
College of Software, Jilin University, Changchun, 130012, China · College of Computer Science and Technology, Zhejiang University, Hangzhou, 310007, China · ReLER, AAII, University of Technology Sydney, Sydney, Australia +5
DeCo: Efficient Decouple-to-Couple Learning for Multi-Task Visual Grounding
Sep 21, 2026Xiaoqiang Lu, Licheng Jiao, Long Sun +5Weak Visual Grounding Amodal Segmentation
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence, Xidian University Xi’an, Shaanxi 710071, China
Single-condition neural solvers encode transferable response spaces for parametric differential equations
Sep 14, 2026Wenbo Cao, Weiwei ZhangNeural Partial Differential Equation Solvers Neural Solvers
Institute of AI for Industries, Chinese Academy of Sciences, Nanjing 211135, China · Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China · School of Aeronautics, Northwestern Polytechnical University, Xi’an 710072, China +2
Settling: Equilibrium Inference for Non-Convex Validity Sets
Sep 9, 2026Lyes Saad SaoudUncoupled Learning Self-Consistency
Independent Researcher, Chicago, IL, USA.
Constant regret in general games via higher-order optimism
Sep 3, 2026Omar Abbadi, Rida Laraki, Panayotis Mertikopoulos\Widetilde{\Mathcal{O}}(\Sqrt{T})$ Regret Regret
Univ. Mohammed VI Polytechnic, CMSIS, MCGT, 11103 Rabat, Morocco · Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG, 38000 Grenoble, France
Feasible but Not Safe: Constraint Violations and Report-Channel Attacks in Learned Cell-Free ISAC Association
Sep 2, 2026Mehdi Zafari, Iman Mohammadi, A. Lee SwindlehurstIntegrated Sensing And Communication Uncoupled Learning
University of California Irvine · Irvine, CA, USA
CliffRank: A Dual-Branch Framework for Activity-Cliff Ranking Prediction
Sep 1, 2026Kewei Li, Rongying Zhang, Peiyu Yang +4Antimicrobial Peptide Spearman Correlation
College of Computer Science and Technology, Jilin University, Changchun, 130012, China. · Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, China. · Greenwich High School, Greenwich, CT, 06830, United States of America. +3
Independent Reinforcement Learning in Discounted Markov Games
Sep 1, 2026Asrin Efe Yorulmaz, Ugur Aydin, Tamer BasarMean Field Games Multi-Agent Reinforcement Learning
Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
Uncertainty-Aware Probabilistic Constrained Clustering from Entangled Pairwise Supervision
Aug 12, 2026Shaojie Zhang, Ke ChenClustering Probabilistic Model
Department of Computer Science, The University of Manchester, Manchester M13 9PL, U.K.
DualCert: A Solver for the Traveling Salesman Problem with Constraint-Coupled Learning
Aug 10, 2026Yancheng Song, Yongzhi Qi, Wei Qi +1Salesman Problem Primal-Dual Methods
Department of Industrial Engineering, Tsinghua University, Beijing 100084, China · JD.com, Beijing, China · College of Engineering, UC Berkeley, Berkeley, CA 94720, USA; Faculty of Engineering, Faculty of Business and Economics, University of Hong Kong, Hong Kong, China
Constrained Learning with Universally Learnable Concept Classes
Aug 9, 2026Herlock SeyedAbolfazl Rahimi, Spyridon Pougkakiotis, Dionysis KalogeriasLearnability Uncoupled Learning
1Yale University · 2King’s College London
Conservation laws determine what physical learning remembers
Jul 30, 2026Bijaya DangolUncoupled Learning Inductive Bias
1Independent researcher
Optimization with Dynamic Constraint Learning (DCL)
Jul 28, 2026Ezgi Oztekin, Figen Oztoprak, S. Ilker BirbilConstrained Optimization Uncoupled Learning
Department of Mathematics, Gebze Technical University · Department of Industrial Engineering, Gebze Technical University · Amsterdam Business School, University of Amsterdam
Directional Influence Function: Estimating Training Data Influence in Constrained Learning
Jul 25, 2026Xin Wang, R. Tyrrell Rockafellar, Xuegang +1Influence Function Uncoupled Learning
Jeff · Department of Civil and Environmental Engineering University of Washington Seattle, WA, USA · Department of Mathematics University of Washington Seattle, WA, USA
CouCE: A Unified Causal Framework for Debiased Deep Metric Learning
Jun 29, 2026Xin Yuan, Zhenyang Niu, Meiqi Wan +3Uncoupled Learning Adversarial Training
Wuhan University of Science and Technology Wuhan, China · Harbin Institute of Technology Harbin, China
Dual Agreement Consistency Learning for Semi-Supervised Fetal Ultrasound Segmentation
Jun 24, 2026Fangyijie Wang, Guénolé Silvestre, Ziyang Wang +1High Confidence Pseudo-Labels Semi-Supervised Learning
Research Ireland Centre for Research Training in Machine Learning · School of Medicine, University College Dublin, Dublin, Ireland · School of Computer Science, University College Dublin, Dublin, Ireland +1
Embedding Linear Equality Constraints in Probabilistic Neural Networks for Dynamic Modelling
Jun 19, 2026Matthew Marsh, Benoit Chachuat, Antonio del Rio ChanonaInequality Constraints Chemical Process Systems
The Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, UK
A Conservation Law for Equilibrium Propagation and Coupled Learning
Jun 13, 2026Joshua A. McGinnis, Adam G. Kline, Yoichiro MoriUncoupled Learning Circuits
Department of Mathematics, University of Pennsylvania, Philadelphia, PA, USA · Department of Physics & Astronomy, University of Pennsylvania, Philadelphia, PA, USA · Department of Biology, University of Pennsylvania, Philadelphia, PA, USA
Coercivity and Local Convergence of Physical Learning in Linear Circuits
Jun 13, 2026Joshua A. McGinnis, Xinbo Li, Yoichiro MoriUncoupled Learning Convergence
Department of Mathematics, University of Pennsylvania, Philadelphia.
Repair Before Veto, When Repair Is Hidden: Quantum-Accessible Features for Repair-Augmented Constraint Learning
Jun 6, 2026Yifan WangQuantum Learning Quantum Error Correction
Department of Mechanical Engineering, McGill University, QC, H3A 2T7, Canada
Repair Before Veto: Repair-Augmented Constraint Learning for Contextual Decisions
Jun 1, 2026Yifan WangRepair Uncoupled Learning
Department of Mechanical Engineering, McGill University, QC, H3A 2T7, Canada
EvoGM: Learning to Merge LLMs via Evolutionary Generative Optimization
May 28, 2026Tao Jiang, Xinmeng Yu, Chenhao Yi +5Uncoupled Learning
Research Institute of Trustworthy Autonomous Systems and Department of Computer Science and Engineering, Southern University of Science and Technology · Pengcheng Laboratory · University of Chinese Academy of Sciences +4
A Road-Conditioned Traffic Movie Prediction Network with Spatiotemporal and Structure-Consistent Learning
May 27, 2026Joshua Kofi Asamoah, Blessing Agyei Kyem, Armstrong AboahAccurate Traffic Forecasting Spatio-Temporal Network
North Dakota State University, 1410 14th Avenue Offerdahl North Building, CIE 201, Fargo, 58102, North Dakota, United States
RoVLA: Multi-Consistency Constraints for Robust Vision-Language-Action Models
May 19, 2026Jingzhou Luo, Yifan Wen, Yongjie Bai +3Proprioception Uncoupled Learning
Sun Yat-sen University, China · Peng Cheng Laboratory · Guangdong Key Laboratory of Big Data Analysis and Processing +1
Stochastic Penalty-Barrier Methods for Constrained Machine Learning
May 18, 2026Adam Bosák, Andrii Kliachkin, Jana Lepšová +2Quadratic Slack Penalty Stochastic Convex Optimization
Artificial Intelligence Center, CTU in Prague · CMAP, École Polytechnique, Palaiseau, France
Two Steps Are All You Need: Efficient 3D Point Cloud Anomaly Detection with Consistency Models
May 6, 2026Pranav A, Shashank B, Pranav Siddappa +3Point Clouds Uncoupled Learning
1R.V. College of Engineering · 2Technical University of Applied Sciences Würzburg-Schweinfurt
On the Conditioning Consistency Gap in Conditional Neural Processes
Apr 21, 2026Robin YoungUncoupled Learning Training-Inference Mismatch
Department of Computer Science and Technology University of Cambridge
Physics-Informed Causal MDPs for Sequential Constraint Repair in Engineering Simulation Pipelines
Apr 20, 2026Chuhan QiaoMarkov Decision Processes Structural Constraints
Beijing JiaoTong University
The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback
Apr 17, 2026Côme Fiegel, Pierre Ménard, Tadashi Kozuno +2Imperfect-Information Games Mirror Descent
ENSAE Paris - CREST, Palaiseau, France · Inria - FairPlay · ENS Lyon, Lyon, France +3

Sep 29, 2026, cs.CVJ/K move · Enter open · S save

BeatDance: Generating Beat-Consistent 3D Dance with Hierarchical Spatial-Temporal Modeling

Xiaojian Shen, Dahu Shi, Jianrong Zhang, Hai Li+6

College of Software, Jilin University, Changchun, 130012, China · College of Computer Science and Technology, Zhejiang University, Hangzhou, 310007, China · ReLER, AAII, University of Technology Sydney, Sydney, Australia+5

Duet Temporal Dynamics Diffusion Models Spatiotemporal Uncoupled Learning Hierarchical

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Generating realistic 3D dance from music is a challenging task that requires accurate synchronization with musical rhythms while capturing the spatial complexity of human motion. Although existing methods can generate physically plausible dance motions, they often struggle to achieve precise alignment with music, such as the beat. To address this limitation, we propose a novel diffusion-based framework, BeatDance, with two components: 1) We present a Hierarchical Decoupled Attention (HDA) module, which first disentangles the learning of human pose and temporal dynamics. A hierarchical structure is then employed to capture both short-term and long-term dependencies, thereby enhancing spatial-temporal modeling. 2) We adopt cycle-consistent learning by introducing an auxiliary dance-to-music module. During training, discrepancies between the reconstructed and original music induce a stronger loss signal, effectively encouraging the consistency property between the music and dance motion. Extensive experimental results demonstrate that our proposed approach outperforms recent competitive methods on two benchmark datasets.

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