SOTAVerified

Zero-shot Generalization

Papers

Showing 201225 of 572 papers

TitleStatusHype
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary InvestigationCode1
MediViSTA: Medical Video Segmentation via Temporal Fusion SAM Adaptation for EchocardiographyCode1
MatSAM: Efficient Extraction of Microstructures of Materials via Visual Large ModelCode1
MAgNet: Mesh Agnostic Neural PDE SolverCode1
Model Generalization on Text Attribute Graphs: Principles with Large Language ModelsCode1
Improving Diffusion Models for Scene Text Editing with Dual EncodersCode1
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement LearningCode1
LR0.FM: Low-Res Benchmark and Improving Robustness for Zero-Shot Classification in Foundation ModelsCode1
Improving Zero-shot Generalization and Robustness of Multi-modal ModelsCode1
Improving Zero-Shot Generalization for CLIP with Synthesized PromptsCode1
Boosting Segment Anything Model Towards Open-Vocabulary LearningCode1
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team CompositionCode1
IRanker: Towards Ranking Foundation ModelCode1
DePT: Decoupled Prompt TuningCode1
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive TasksCode1
Learning the Travelling Salesperson Problem Requires Rethinking GeneralizationCode1
Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue DatasetCode1
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement LearningCode1
M^3GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and GenerationCode1
Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text TransformersCode1
CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance0
DynaPrompt: Dynamic Test-Time Prompt Tuning0
A Safer Vision-based Autonomous Planning System for Quadrotor UAVs with Dynamic Obstacle Trajectory Prediction and Its Application with LLMs0
Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels0
Do We Need to Create Big Datasets to Learn a Task?0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GR-MGAvg. sequence length4.04Unverified
2MoDEAvg. sequence length4.01Unverified
3RoboUniViewAvg. sequence length3.65Unverified
43D Diffuser ActorAvg. sequence length3.27Unverified
5GR-1Avg. sequence length3.06Unverified