Copertina

STENCIL: Submodular Mutual Information Based Weak Supervision for Cold-Start Active Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Beck, Nathan, Iyer, Adithya, Iyer, Rishabh
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Theoretical Analysis of Submodular Information Measures for Targeted Data Subset Selection
di: Beck, Nathan, et al.
Pubblicazione: (2024)

Complement Submodular Information Measures for Balanced and Robust Data Selection
di: Iyer, Rishabh
Pubblicazione: (2026)

InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity
di: Nanda, Souradeep, et al.
Pubblicazione: (2025)

SHaSaM: Submodular Hard Sample Mining for Fair Facial Attribute Recognition
di: Majee, Anay, et al.
Pubblicazione: (2026)

SCoRe: Submodular Combinatorial Representation Learning
di: Majee, Anay, et al.
Pubblicazione: (2023)

SMA: Submodular Modality Aligner For Data Efficient Multimodal Learning
di: Pham, Truong, et al.
Pubblicazione: (2026)

SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection
di: Majee, Anay, et al.
Pubblicazione: (2024)

MI CAM: Mutual Information Weighted Activation Mapping for Causal Visual Explanations of Convolutional Neural Networks
di: Iyer, Ram S, et al.
Pubblicazione: (2025)

From Zero to Hero: Cold-Start Anomaly Detection
di: Reiss, Tal, et al.
Pubblicazione: (2024)

Steering LLMs for Formal Theorem Proving
di: Kirtania, Shashank, et al.
Pubblicazione: (2025)

Adaptive Self-Supervised Learning Strategies for Dynamic On-Device LLM Personalization
di: Mendoza, Rafael, et al.
Pubblicazione: (2024)

RAGSys: Item-Cold-Start Recommender as RAG System
di: Contal, Emile, et al.
Pubblicazione: (2024)

Shotluck Holmes: A Family of Efficient Small-Scale Large Language Vision Models For Video Captioning and Summarization
di: Luo, Richard, et al.
Pubblicazione: (2024)

Disentangling Latent Shifts of In-Context Learning with Weak Supervision
di: Jukić, Josip, et al.
Pubblicazione: (2024)

Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start
di: Wei, Lai, et al.
Pubblicazione: (2025)

Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision
di: Su, Jinyan, et al.
Pubblicazione: (2024)

Looking Beyond the Known: Towards a Data Discovery Guided Open-World Object Detection
di: Majee, Anay, et al.
Pubblicazione: (2025)

Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning
di: Chen, Shuang, et al.
Pubblicazione: (2025)

XL-Suite: Cross-Lingual Synthetic Training and Evaluation Data for Open-Ended Generation
di: Iyer, Vivek, et al.
Pubblicazione: (2025)

Cold-Start Personalization via Training-Free Priors from Structured World Models
di: Bose, Avinandan, et al.
Pubblicazione: (2026)

How to Train Text Summarization Model with Weak Supervisions
di: Wang, Yanbo, et al.
Pubblicazione: (2024)

Designing Informative Metrics for Few-Shot Example Selection
di: Adiga, Rishabh, et al.
Pubblicazione: (2024)

Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation
di: Lin, Ci-Siang, et al.
Pubblicazione: (2024)

Intrinsic Mutual Information as a Modulator for Preference Optimization
di: Liao, Peng, et al.
Pubblicazione: (2026)

Learning Mutually Informed Representations for Characters and Subwords
di: Wang, Yilin, et al.
Pubblicazione: (2023)

Metis-SPECS: Decoupling Multimodal Learning via Self-distilled Preference-based Cold Start
di: Chen, Kun, et al.
Pubblicazione: (2025)

Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement
di: Sheth, Paras, et al.
Pubblicazione: (2024)

CrEst: Credibility Estimation for Contexts in LLMs via Weak Supervision
di: Adila, Dyah, et al.
Pubblicazione: (2025)

Efficient RLVR Training via Weighted Mutual Information Data Selection
di: Zhou, Xinyu, et al.
Pubblicazione: (2026)

Sub-SA: Strengthen In-context Learning via Submodular Selective Annotation
di: Qian, Jian, et al.
Pubblicazione: (2024)

The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models
di: Bhaskar, Adithya, et al.
Pubblicazione: (2024)

Towards Cold-Start Drafting and Continual Refining: A Value-Driven Memory Approach with Application to NPU Kernel Synthesis
di: Zheng, Yujie, et al.
Pubblicazione: (2026)

Many of Your DPOs are Secretly One: Attempting Unification Through Mutual Information
di: Tutnov, Rasul, et al.
Pubblicazione: (2025)

MATATA: Weakly Supervised End-to-End MAthematical Tool-Augmented Reasoning for Tabular Applications
di: Vinayagame, Vishnou, et al.
Pubblicazione: (2024)

Utilizing and Calibrating Hindsight Process Rewards via Reinforcement with Mutual Information Self-Evaluation
di: Yao, Jiashu, et al.
Pubblicazione: (2026)

Gradient Coreset for Federated Learning
di: Sivasubramanian, Durga, et al.
Pubblicazione: (2024)

Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios
di: Chakraborty, Mohna, et al.
Pubblicazione: (2025)

Gradient Enhanced Self-Training Physics-Informed Neural Network (gST-PINN) for Solving Nonlinear Partial Differential Equations
di: Iyer, Narayan S, et al.
Pubblicazione: (2025)

A Weakly Supervised Transformer for Rare Disease Diagnosis and Subphenotyping from EHRs with Pulmonary Case Studies
di: Greco, Kimberly F., et al.
Pubblicazione: (2025)

SMART: Submodular Data Mixture Strategy for Instruction Tuning
di: Renduchintala, H S V N S Kowndinya, et al.
Pubblicazione: (2024)