conftrace_

out-of-distribution generalization

408 papers

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Also known as

OOD GENERALIZATION

Co-occurring keywords

domain generalization (1522) distribution shift (722) representation learning (6206) spurious correlation (279) causal inference (1630) large language model (13587) graph neural network (3962) domain adaptation (4595) transfer learning (5449) data augmentation (3052)

Papers

Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning ACL 2026

OAD-Promoter: Enhancing Zero-Shot VQA Using Large Language Models with Object Attribute Description AAAI 2026

Distribution Shift Is Key to Learning Invariant Prediction AAAI 2026

MoralReason: Generalizable Moral Decision Alignment for LLM Agents Using Reasoning-Level Reinforcement Learning AAAI 2026

Out-of-Distribution Generalization with a SPARC: Racing 100 Unseen Vehicles with a Single Policy AAAI 2026

Exploring Depth Generalization in Large Language Models for Solving Recursive Logic Tasks AAAI 2026

FedSDWC: Federated Synergistic Dual-Representation Weak Causal Learning for OOD AAAI 2026

CauVQ: Causal Vector Quantization for Graph OOD Generalization AAAI 2026

Toward Controllable and Trustworthy LLM Reasoning: From Failure Mapping to Cognition-inspired Control and Real-world Impact AAAI 2026

Activating Visual Context and Commonsense Reasoning Through Masked Prediction in VLMs AAAI 2026

Multi-Task Reinforcement Learning for Enhanced Multimodal LLM-as-a-Judge ACL 2026

Beyond Query Memorization: Large Language Model Routing with Query Decomposition and Historical Matching ACL 2026

VQAThinker: Exploring Generalizable and Explainable Video Quality Assessment via Reinforcement Learning AAAI 2026

Pretraining Helps When Capacity Allows: Evidence from Ultra-Small ConvNets WACV 2026

Dropout Prompt Learning: Towards Robust and Adaptive Vision-Language Models AAAI 2026

GCIB: Causal Intervention Guided Graph Information Bottleneck Framework AAAI 2026

ProLoG: Hybrid Prompt and LoRA Based Adaptation of Vision-Language Models for OOD Generalization AAAI 2026

COGS: A Causal Representation Learning Framework for Out-of-Distribution Generalization in Time Series AAAI 2026

Image-Caption Encoding for Improving Zero-Shot Generalization WACV 2025

FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics COLING 2025

AIM: Amending Inherent Interpretability via Self-Supervised Masking ICCV 2025

Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks AAAI 2025

Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference AAAI 2025

Subgraph Invariant Learning Towards Large-Scale Graph Node Classification AAAI 2025

Improving Accuracy and Generalization for Efficient Visual Tracking WACV 2025