SOTAVerified

Zero-shot Generalization

Papers

Showing 126150 of 572 papers

TitleStatusHype
μLO: Compute-Efficient Meta-Generalization of Learned OptimizersCode1
M^3GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and GenerationCode1
CompilerDream: Learning a Compiler World Model for General Code OptimizationCode1
CLIP-Embed-KD: Computationally Efficient Knowledge Distillation Using Embeddings as TeachersCode1
Where to Move Next: Zero-shot Generalization of LLMs for Next POI RecommendationCode1
Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language ModelsCode1
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over QuantityCode1
Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot GeneralizationCode1
FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical ImagesCode1
Augmenting Efficient Real-time Surgical Instrument Segmentation in Video with Point Tracking and Segment AnythingCode1
FluoroSAM: A Language-aligned Foundation Model for X-ray Image SegmentationCode1
Zero-shot Generalizable Incremental Learning for Vision-Language Object DetectionCode1
Multimodal Instruction Tuning with Conditional Mixture of LoRACode1
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot GeneralizationCode1
Triple-Encoders: Representations That Fire Together, Wire TogetherCode1
Tag-LLM: Repurposing General-Purpose LLMs for Specialized DomainsCode1
Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation LearningCode1
Exploring the Best Practices of Query Expansion with Large Language ModelsCode1
MatSAM: Efficient Extraction of Microstructures of Materials via Visual Large ModelCode1
Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial RobustnessCode1
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary InvestigationCode1
Large Language Models are Good Prompt Learners for Low-Shot Image ClassificationCode1
MuRF: Multi-Baseline Radiance FieldsCode1
Boosting Segment Anything Model Towards Open-Vocabulary LearningCode1
VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt LearningCode1
Show:102550
← PrevPage 6 of 23Next →

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