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Showing 346661 results for "avoidance learning"
AI & Data Science Preprint PDF DOI

CMTM: Cross-Modal Token Modulation for Unsupervised Video Object Segmentation

Inseok Jeon, Suhwan Cho, Minhyeok Lee, Seunghoon Lee, Minseok Kang, Jungho Lee, Chaewon Park, Donghyeong Kim, Sangyoun Lee ยท 2026

Recent advances in unsupervised video object segmentation have highlighted the potential of two-stream architectures that integrate appearance and motion cues. However, fully leveraging these complemeโ€ฆ

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Computer Science Preprint PDF DOI

Asking What Matters: Reward-Driven Clarification for Software Engineering Tasks

Sanidhya Vijayvargiya, Vijay Viswanathan, Graham Neubig ยท 2026

Humans often specify tasks incompletely, so assistants must know when and how to ask clarifying questions. However, effective clarification remains challenging in software engineering tasks as not allโ€ฆ

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AI & Data Science Preprint PDF DOI

Multigrain-aware Semantic Prototype Scanning and Tri-Token Prompt Learning Embraced High-Order RWKV for Pan-Sharpening

Junfeng Li, Wenyang Zhou, Xueheng Li, Xuanhua He, Jianhou Gan, Wenqi Ren ยท 2026

In this work, we propose a Multigrain-aware Semantic Prototype Scanning paradigm for pan-sharpening, built upon a high-order RWKV architecture and a tri-token prompting mechanism derived from semanticโ€ฆ

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Computer Science Preprint PDF DOI

The Acoustic Camouflage Phenomenon: Re-evaluating Speech Features for Financial Risk Prediction

Dhruvin Dungrani, Disha Dungrani ยท 2026

In computational paralinguistics, detecting cognitive load and deception from speech signals is a heavily researched domain. Recent efforts have attempted to apply these acoustic frameworks to corporaโ€ฆ

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Computer Science Preprint PDF DOI

Tight Bounds for Learning Polyhedra with a Margin

Shyamal Patel, Santosh Vempala ยท 2026

We give an algorithm for PAC learning intersections of $k$ halfspaces with a $\rho$ margin to within error $\varepsilon$ that runs in time $\textsf{poly}(k, \varepsilon^{-1}, \rho^{-1}) \cdot \exp \leโ€ฆ

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Computer Science Preprint PDF DOI

Uncertainty-aware Generative Learning Path Recommendation with Cognition-Adaptive Diffusion

Xiangrui Xiong, Hang Liang, Baiyang Chen, Zifei Pan, Yanli Lee ยท 2026

Learning Path Recommendation (LPR) is critical for personalized education, yet current methods often fail to account for historical interaction uncertainty (e.g., lucky guesses or accidental slips) anโ€ฆ

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AI & Data Science Preprint PDF DOI

ConfLayers: Adaptive Confidence-based Layer Skipping for Self-Speculative Decoding

Walaa Amer, Uday das, Fadi Kurdahi ยท 2026

Self-speculative decoding is an inference technique for large language models designed to speed up generation without sacrificing output quality. It combines fast, approximate decoding using a compactโ€ฆ

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Mathematics Preprint PDF DOI

Prime--Zero Duality: Fractal Geometry, Renormalization-Group Flow, and an Information-Ontological Framework for Number Theory

Zhengqiang Li ยท 2026

The prime numbers and the non-trivial zeros of the Riemann zeta function are globally linked by the explicit formula of analytic number theory. Whether they share a hidden, scale-by-scale geometric โ€ฆ

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AI & Data Science Preprint PDF DOI

CLion: Efficient Cautious Lion Optimizer with Enhanced Generalization

Feihu Huang, Guanyi Zhang, Songcan Chen ยท 2026

Lion optimizer is a popular learning-based optimization algorithm in machine learning, which shows impressive performance in training many deep learning models. Although convergence property of the Liโ€ฆ

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Computer Science Preprint PDF DOI

Prompt-Driven Code Summarization: A Systematic Literature Review

Afia Farjana, Zaiyu Cheng, Antonio Mastropaolo ยท 2026

Software documentation is essential for program comprehension, developer onboarding, code review, and long-term maintenance. Yet producing quality documentation manually is time-consuming and frequentโ€ฆ

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Computer Science Preprint PDF DOI

Behavior-Aware Dual-Channel Preference Learning for Heterogeneous Sequential Recommendation

Jing Xiao, Dongqi Wu, Liwei Pan, Yawen Luo, Weike Pan, Zhong Ming ยท 2026

Heterogeneous sequential recommendation (HSR) aims to learn dynamic behavior dependencies from the diverse behaviors of user-item interactions to facilitate precise sequential recommendation. Despite โ€ฆ

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AI & Data Science Preprint PDF DOI

M3D-Net: Multi-Modal 3D Facial Feature Reconstruction Network for Deepfake Detection

Haotian Wu, Yue Cheng, Shan Bian ยท 2026

With the rapid advancement of deep learning in image generation, facial forgery techniques have achieved unprecedented realism, posing serious threats to cybersecurity and information authenticity. Moโ€ฆ

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AI & Data Science Preprint PDF DOI

Deepfake Detection Generalization with Diffusion Noise

Hongyuan Qi, Wenjin Hou, Hehe Fan, Jun Xiao ยท 2026

Deepfake detectors face growing challenges in generalization as new image synthesis techniques emerge. In particular, deepfakes generated by diffusion models are highly photorealistic and often evade โ€ฆ

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Physics Preprint PDF DOI

Field Inversion Symbolic Regression with Embedded Equation Learner for Interpretable Turbulence Model Correction

Li Jiazhe, Wu Chenyu, He Zizhou, Zhang Yufei ยท 2026

An interpretable, physics-consistent turbulence model correction framework, termed FISR-Equation Learner (EQL), is proposed by embedding equation learning directly into a Partial Differential Equationโ€ฆ

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AI & Data Science Preprint PDF DOI

Learning Adaptive Reasoning Paths for Efficient Visual Reasoning

Yixu Huang, Tinghui Zhu, Muhao Chen ยท 2026

Visual reasoning models (VRMs) have recently shown strong cross-modal reasoning capabilities by integrating visual perception with language reasoning. However, they often suffer from overthinking, proโ€ฆ

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AI & Data Science Preprint PDF DOI

Physics-Informed Machine Learning for Pouch Cell Temperature Estimation

Zheng Liu ยท 2026

Accurate temperature estimation of pouch cells with indirect liquid cooling is essential for optimizing battery thermal management systems for transportation electrification. However, it is challenginโ€ฆ

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Engineering Preprint PDF DOI

Model-Based Reinforcement Learning Exploits Passive Body Dynamics for High-Performance Biped Robot Locomotion

Tomoya Kamimura, Haruka Washiyama, Akihito Sano ยท 2026

Embodiment is a significant keyword in recent machine learning fields. This study focused on the passive nature of the body of a biped robot to generate walking and running locomotion using model-baseโ€ฆ

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AI & Data Science Preprint PDF DOI

MARS$^2$: Scaling Multi-Agent Tree Search via Reinforcement Learning for Code Generation

Pengfei Li, Shijie Wang, Fangyuan Li, Yikun Fu, Kaifeng Liu, Kaiyan Zhang, Dazhi Zhang, Yuqiang Li, Biqing Qi, Bowen Zhou ยท 2026

Reinforcement learning (RL) paradigms have demonstrated strong performance on reasoning-intensive tasks such as code generation. However, limited trajectory diversity often leads to diminishing returnโ€ฆ

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Physics Preprint PDF DOI

Learning to traverse convective flows at moderate to high Rayleigh numbers

Ao Xu, Hua-Lin Wu, Ben-Rui Xu, Heng-Dong Xi ยท 2026

We study the navigation of a self-propelled inertial particle in two-dimensional Rayleigh--B\'enard convection at Prandtl number $Pr = 0.71$ and cell aspect ratio $\Gamma = 4$ for Rayleigh numbers $Raโ€ฆ

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Computer Science Preprint PDF DOI

DEEP-GAP: Deep-learning Evaluation of Execution Parallelism in GPU Architectural Performance

Kathiravan Palaniappan ยท 2026

Modern datacenters increasingly rely on low-power, single-slot inference accelerators to balance performance, energy efficiency, and rack density constraints. The NVIDIA T4 GPU has become widely deploโ€ฆ

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