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

ReaGeo: Reasoning-Enhanced End-to-End Geocoding with LLMs

Jian Cui, Zhiyuan Ren, Desheng Weng, Yongqi Zhao, Gong Wenbin, Yu Lei, Zhenning Dong ยท 2026

This paper proposes ReaGeo, an end-to-end geocoding framework based on large language models, designed to overcome the limitations of traditional multi-stage approaches that rely on text or vector simโ€ฆ

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AI & Data Science Preprint PDF DOI

SparseGF: A Height-Aware Sparse Segmentation Framework with Context Compression for Robust Ground Filtering Across Urban to Natural Scenes

Nannan Qin, Pengjie Tao, Haiyan Guan, Zhizhong Kang, Lingfei Ma, Xiangyun Hu, Jonathan Li ยท 2026

High-quality digital terrain models derived from airborne laser scanning (ALS) data are essential for a wide range of geospatial analyses, and their generation typically relies on robust ground filterโ€ฆ

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Engineering Preprint PDF DOI

RPG: Robust Policy Gating for Smooth Multi-Skill Transitions in Humanoid Fighting

Yucheng Xin, Jiacheng Bao, Yubo Dong, Xueqian Wang, Bin Zhao, Xuelong Li, Junbo Tan, Dong Wang ยท 2026

Humanoid robots have demonstrated impressive motor skills in a wide range of tasks, yet whole-body control for humanlike long-time, dynamic fighting remains particularly challenging due to the stringeโ€ฆ

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Engineering Preprint PDF DOI

Learn Weightlessness: Imitate Non-Self-Stabilizing Motions on Humanoid Robot

Yucheng Xin, Jiacheng Bao, Haoran Yang, Wenqiang Que, Dong Wang, Junbo Tan, Xueqian Wang, Bin Zhao, Xuelong Li ยท 2026

The integration of imitation and reinforcement learning has enabled remarkable advances in humanoid whole-body control, facilitating diverse human-like behaviors. However, research on environment-depeโ€ฆ

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AI & Data Science Preprint PDF DOI

Trust-SSL: Additive-Residual Selective Invariance for Robust Aerial Self-Supervised Learning

Wadii Boulila, Adel Ammar, Bilel Benjdira, Maha Driss ยท 2026

Self-supervised learning (SSL) is a standard approach for representation learning in aerial imagery. Existing methods enforce invariance between augmented views, which works well when augmentations prโ€ฆ

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AI & Data Science Preprint PDF DOI

Symbolic Grounding Reveals Representational Bottlenecks in Abstract Visual Reasoning

Mohit Vaishnav, Tanel Tammet ยท 2026

Vision--language models (VLMs) often fail on abstract visual reasoning benchmarks such as Bongard problems, raising the question of whether the main bottleneck lies in reasoning or representation. We โ€ฆ

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AI & Data Science Preprint PDF DOI

Latent Denoising Improves Visual Alignment in Large Multimodal Models

Dhruv Parikh, Jacob Fein-Ashley, Rajgopal Kannan, Viktor Prasanna ยท 2026

Large Multimodal Models (LMMs) such as LLaVA are typically trained with an autoregressive language modeling objective, providing only indirect supervision to visual tokens. This often yields weak inteโ€ฆ

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Engineering Preprint PDF DOI

FingerViP: Learning Real-World Dexterous Manipulation with Fingertip Visual Perception

Zhen Zhang, Weinan Wang, Hejia Sun, Qingpeng Ding, Xiangyu Chu, Guoxin Fang, K. W. Samuel Au ยท 2026

The current practice of dexterous manipulation generally relies on a single wrist-mounted view, which is often occluded and limits performance on tasks requiring multi-view perception. In this work, wโ€ฆ

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AI & Data Science Preprint PDF DOI

Teacher-Guided Routing for Sparse Vision Mixture-of-Experts

Masahiro Kada, Ryota Yoshihashi, Satoshi Ikehata, Rei Kawakami, Ikuro Sato ยท 2026

Recent progress in deep learning has been driven by increasingly large-scale models, but the resulting computational cost has become a critical bottleneck. Sparse Mixture of Experts (MoE) offers an efโ€ฆ

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AI & Data Science Preprint PDF DOI

Understanding and Mitigating Spurious Signal Amplification in Test-Time Reinforcement Learning for Math Reasoning

Yongcan Yu, Lingxiao He, Jian Liang, Kuangpu Guo, Meng Wang, Qianlong Xie, Xingxing Wang, Ran He ยท 2026

Test-time reinforcement learning (TTRL) always adapts models at inference time via pseudo-labeling, leaving it vulnerable to spurious optimization signals from label noise. Through an empirical study,โ€ฆ

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AI & Data Science Preprint PDF DOI

Temporal Prototyping and Hierarchical Alignment for Unsupervised Video-based Visible-Infrared Person Re-Identification

Zhiyong Li, Wei Jiang, Haojie Liu, Mingyu Wang, Wanchong Xu, Weijie Mao ยท 2026

Visible-infrared person re-identification (VI-ReID) enables cross-modality identity matching for all-day surveillance, yet existing methods predominantly focus on the image level or rely heavily on coโ€ฆ

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AI & Data Science Preprint PDF DOI

FryNet: Dual-Stream Adversarial Fusion for Non-Destructive Frying Oil Oxidation Assessment

Khaled R Ahmed, Toqi Tahamid Sarker, Taminul Islam, Tamany M Alanezi, Amer AbuGhazaleh ยท 2026

Monitoring frying oil degradation is critical for food safety, yet current practice relies on destructive wet-chemistry assays that provide no spatial information and are unsuitable for real-time use.โ€ฆ

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AI & Data Science Preprint PDF DOI

Performance Anomaly Detection in Athletics: A Benchmarking System with Visual Analytics

Blessed Madukoma, Prasenjit Mitra ยท 2026

Anti-doping programs rely on biological testing to detect performance-enhancing drugs, but such testing costs over $800 per sample and is limited by short detection windows for many prohibited substanโ€ฆ

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AI & Data Science Preprint PDF DOI

an interpretable vision transformer framework for automated brain tumor classification

Chinedu Emmanuel Mbonu, Tochukwu Sunday Belonwu, Okwuchukwu Ejike Chukwuogo, Kenechukwu Sylvanus Anigbogu ยท 2026

Brain tumors represent one of the most critical neurological conditions, where early and accurate diagnosis is directly correlated with patient survival rates. Manual interpretation of Magnetic Resonaโ€ฆ

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Computer Science Preprint PDF DOI

Adversarial Evasion in Non-Stationary Malware Detection: Minimizing Drift Signals through Similarity-Constrained Perturbations

Pawan Acharya, Lan Zhang ยท 2026

Deep learning has emerged as a powerful approach for malware detection, demonstrating impressive accuracy across various data representations. However, these models face critical limitations in real-wโ€ฆ

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AI & Data Science Preprint PDF DOI

When Bigger Isn't Better: A Comprehensive Fairness Evaluation of Political Bias in Multi-News Summarisation

Nannan Huang, Iffat Maab, Junichi Yamagishi ยท 2026

Multi-document news summarisation systems are increasingly adopted for their convenience in processing vast daily news content, making fairness across diverse political perspectives critical. However,โ€ฆ

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Physics Preprint PDF DOI

Scalable Photonic Neural Networks via Surrogate Scattering-Matrix Inverse Design

Azka Maula Iskandar Muda, Ugur Tegin ยท 2026

Inverse-designed nanophotonic media are a promising platform for compact optical neural networks, but training them end to end is expensive because each adjoint iteration couples the full-wave solver โ€ฆ

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AI & Data Science Preprint PDF DOI

Explainable Disentangled Representation Learning for Generalizable Authorship Attribution in the Era of Generative AI

Hieu Man, Van-Cuong Pham, Nghia Trung Ngo, Franck Dernoncourt, Thien Huu Nguyen ยท 2026

Learning robust representations of authorial style is crucial for authorship attribution and AI-generated text detection. However, existing methods often struggle with content-style entanglement, wherโ€ฆ

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AI & Data Science Preprint PDF DOI

AttDiff-GAN: A Hybrid Diffusion-GAN Framework for Facial Attribute Editing

Wenmin Huang, Weiqi Luo, Xiaochun Cao, Jiwu Huang ยท 2026

Facial attribute editing aims to modify target attributes while preserving attribute-irrelevant content and overall image fidelity. Existing GAN-based methods provide favorable controllability, but ofโ€ฆ

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AI & Data Science Preprint PDF DOI

Cross-Entropy Is Load-Bearing: A Pre-Registered Scope Test of the K-Way Energy Probe on Bidirectional Predictive Coding

Jon-Paul Cacioli ยท 2026

Cacioli (2026) showed that the K-way energy probe on standard discriminative predictive coding networks reduces approximately to a monotone function of the log-softmax margin. The reduction rests on fโ€ฆ

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