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๐Ÿ” avoidance learning ๐Ÿ“‚ Computer Science
Showing 46580 results for "avoidance learning" in Computer Science
Computer Science Preprint PDF DOI

Regime-Conditional Retrieval: Theory and a Transferable Router for Two-Hop QA

Andre Bacellar ยท 2026

Two-hop QA retrieval splits queries into two regimes determined by whether the hop-2 entity is explicitly named in the question (Q-dominant) or only in the bridge passage (B-dominant). We formalize thโ€ฆ

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From Distance to Angle: One-Shot Detection Under Isotropic Multivariate Cauchy Noise

Yen-Chi Lee ยท 2026

We study one-shot detection under isotropic multivariate Cauchy noise using finite constellations, with emphasis on the geometric mechanisms governing symbol-level reliability. Under isotropic Cauchy โ€ฆ

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Training Language Models for Bilateral Trade with Private Information

Dirk Bergemann, Soheil Ghili, Xinyang Hu, Chuanhao Li, Zhuoran Yang ยท 2026

Bilateral bargaining under incomplete information provides a controlled testbed for evaluating large language model (LLM) agent capabilities. Bilateral trade demands individual rationality, strategic โ€ฆ

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Computer Science Preprint PDF DOI

Sensor Placement for Tsunami Early Warning via Large-Scale Bayesian Optimal Experimental Design

Sreeram Venkat, Stefan Henneking, Omar Ghattas ยท 2026

Real-time tsunami early warning relies on distributed sensor networks to infer seismic sources and seafloor motion. Optimizing these networks via Bayesian optimal experimental design (OED) is exceptioโ€ฆ

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Computer Science Preprint PDF DOI

Building Better Environments for Autonomous Cyber Defence

Chris Hicks, Elizabeth Bates, Shae McFadden, Isaac Symes Thompson, Myles Foley, Ed Chapman, Nickolas Espinosa Dice, Ankita Samaddar, Joshua Sylvester, Himanshu Neema, Nicholas Butts, Nate Foster, Ahmad Ridley, Zoe M, Paul Jones ยท 2026

In November 2025, the authors ran a workshop on the topic of what makes a good reinforcement learning (RL) environment for autonomous cyber defence (ACD). This paper details the knowledge shared by paโ€ฆ

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Computer Science Preprint PDF DOI

Tracing the Chain: Deep Learning for Stepping-Stone Intrusion Detection

Nate Mathews, Nicholas Hopper, Matthew Wright ยท 2026

Stepping-stone intrusions (SSIs) are a prevalent network evasion technique in which attackers route sessions through chains of compromised intermediate hosts to obscure their origin. Effective SSI detโ€ฆ

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Choose, Don't Label: Multiple-Choice Query Synthesis for Program Disambiguation

Celeste Barnaby, Danny Ding, Osbert Bastani, Isil Dillig ยท 2026

High-level specifications of code are inherently ambiguous, and prior systems have explored interactive techniques to help users clarify their intent and resolve such ambiguities. However, most existiโ€ฆ

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eBandit: Kernel-Driven Reinforcement Learning for Adaptive Video Streaming

Mahdi Alizadeh ยท 2026

User-space Adaptive Bitrate (ABR) algorithms cannot see the transport layer signals that matter most, such as minimum RTT and instantaneous delivery rate, and they respond to network changes only afteโ€ฆ

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AniGen: Unified $S^3$ Fields for Animatable 3D Asset Generation

Yi-Hua Huang, Zi-Xin Zou, Yuting He, Chirui Chang, Cheng-Feng Pu, Ziyi Yang, Yuan-Chen Guo, Yan-Pei Cao, Xiaojuan Qi ยท 2026

Animatable 3D assets, defined as geometry equipped with an articulated skeleton and skinning weights, are fundamental to interactive graphics, embodied agents, and animation production. While recent 3โ€ฆ

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RansomTrack: A Hybrid Behavioral Analysis Framework for Ransomware Detection

Busra Caliskan, Ibrahim Gulatas, H. Hakan Kilinc, A. Halim Zaim ยท 2026

Ransomware poses a serious and fast-acting threat to critical systems, often encrypting files within seconds of execution. Research indicates that ransomware is the most reported cybercrime in terms oโ€ฆ

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Static Program Slicing Using Language Models With Dataflow-Aware Pretraining and Constrained Decoding

Pengfei He, Shaowei Wang, Tse-Hsun (Peter) Chen, Muhammad Asaduzzaman ยท 2026

Static program slicing is a fundamental software engineering technique for isolating code relevant to specific variables. While recent learning-based approaches using language models (LMs) show promisโ€ฆ

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Demystifying the Silence of Correctness Bugs in PyTorch Compiler

Meiziniu Li, Dongze Li, Jianmeng Liu, Shing-Chi Cheung ยท 2026

Performance optimization of AI infrastructure is key to the fast adoption of large language models (LLMs). The PyTorch compiler (torch.compile), a core optimization tool for deep learning (DL) models โ€ฆ

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Towards Generalizable Representations of Mathematical Strategies

Siddhartha Pradhan, Ethan Prihar, Erin Ottmar ยท 2026

Pretrained encoders for mathematical texts have achieved significant improvements on various tasks such as formula classification and information retrieval. Yet they remain limited in representing andโ€ฆ

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Learning vs. Optimizing Bidders in Budgeted Auctions

Giannis Fikioris, Balasubramanian Sivan, Eva Tardos ยท 2026

The study of repeated interactions between a learner and a utility-maximizing optimizer has yielded deep insights into the manipulability of learning algorithms. However, existing literature primarilyโ€ฆ

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NL-CPS: Reinforcement Learning-Based Kubernetes Control Plane Placement in Multi-Region Clusters

Sajid Alam, Amjad Ullah, Ze Wang ยท 2026

The placement of Kubernetes control-plane nodes is critical to ensuring cluster reliability, scalability, and performance, and therefore represents a significant deployment challenge in heterogeneous,โ€ฆ

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Let Me Introduce You: Stimulating Taste-Broadening Serendipity Through Song Introductions

Brett Binst, Ulysse Maes, Martijn C. Willemsen, Annelien Smets ยท 2026

Research on how people experience music emphasizes the importance of exploration and diversity in listening. However, music recommender systems struggle with facilitating exploration. Even when music โ€ฆ

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VCAO: Verifier-Centered Agentic Orchestration for Strategic OS Vulnerability Discovery

Suyash Mishra ยท 2026

We formulate operating-system vulnerability discovery as a \emph{repeated Bayesian Stackelberg search game} in which a Large Reasoning Model (LRM) orchestrator allocates analysis budget across kernel โ€ฆ

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Beyond Static Forecasting: Unleashing the Power of World Models for Mobile Traffic Extrapolation

Xiaoqian Qi, Haoye Chai, Yue Wang, Yong Li ยท 2026

Mobile traffic prediction is a fundamental yet challenging problem for wireless network planning and optimization. Existing models focus on learning static long-term temporal patterns in mobile traffiโ€ฆ

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State-Flow Coordinated Representation for MI-EEG Decoding

Guoqing Cai, Shoulin Huang, Ting Ma ยท 2026

Motor Imagery (MI) Electroencephalography (EEG) signals contain two crucial and complementary types of information: state information, which captures the global context of the task, and flow informatiโ€ฆ

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Semantic Noise Reduction via Teacher-Guided Dual-Path Audio-Visual Representation Learning

Linge Wang, Yingying Chen, Bingke Zhu, Lu Zhou, Jinqiao Wang ยท 2026

Recent advances in audio-visual representation learning have shown the value of combining contrastive alignment with masked reconstruction. However, jointly optimizing these objectives in a single forโ€ฆ

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