generalization ability
Generalization ability refers to a model's effectiveness at making accurate predictions on new, unseen data that it was not specifically trained on. It reflects how well the model can abstract principles from training to apply to fresh instances.
- $\Delta \mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization
- Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models
- Automatic Visual Instrumental Variable Learning for Confounding-Resistant Domain Generalization
- CRRL: Learning Channel-invariant Neural Representations for High-performance Cross-day Decoding
- Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs
- FSEO: Few-Shot Evolutionary Optimization via Meta-Learning for Expensive Multi-Objective Optimization
- Flow Equivariant Recurrent Neural Networks
- Generalizing while preserving monotonicity in comparison-based preference learning models
- Less is More: Local Intrinsic Dimensions of Contextual Language Models
- Locality in Image Diffusion Models Emerges from Data Statistics
- Luminance-Aware Statistical Quantization: Unsupervised Hierarchical Learning for Illumination Enhancement
- MTL-KD: Multi-Task Learning Via Knowledge Distillation for Generalizable Neural Vehicle Routing Solver
- MiNT: Multi-Network Transfer Benchmark for Temporal Graph Learning
- Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization
- Mitigating Occlusions in Virtual Try-On via A Simple-Yet-Effective Mask-Free Framework
- Multi-Modal Interactive Agent Layer for Few-Shot Universal Cross-Domain Retrieval and Beyond
- ORBIT - Open Recommendation Benchmark for Reproducible Research with Hidden Tests
- On Inductive Biases That Enable Generalization in Diffusion Transformers
- PARCO: Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization
- PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models
- PlayerOne: Egocentric World Simulator
- PlayerOne: Egocentric World Simulator
- Point4Bit: Post Training 4-bit Quantization for Point Cloud 3D Detection
- RULE: Reinforcement UnLEarning Achieves Forget-retain Pareto Optimality
- Reason-RFT: Reinforcement Fine-Tuning for Visual Reasoning of Vision Language Models
- Retrv-R1: A Reasoning-Driven MLLM Framework for Universal and Efficient Multimodal Retrieval
- RigAnyFace: Scaling Neural Facial Mesh Auto-Rigging with Unlabeled Data
- SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs
- SpatialReasoner: Towards Explicit and Generalizable 3D Spatial Reasoning
- Topology-Aware Learning of Tubular Manifolds via SE(3)-Equivariant Network on Ball B-Spline Curve
- Towards Generalizable Detector for Generated Image
- Towards Syn-to-Real IQA: A Novel Perspective on Reshaping Synthetic Data Distributions
- URDF-Anything: Constructing Articulated Objects with 3D Multimodal Language Model