SOTAVerified

Zero-shot Generalization

Papers

Showing 176200 of 572 papers

TitleStatusHype
A Multi-Task BERT Model for Schema-Guided Dialogue State TrackingCode1
Improving Zero-Shot Generalization for CLIP with Synthesized PromptsCode1
COMPrompter: reconceptualized segment anything model with multiprompt network for camouflaged object detectionCode1
Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-InCode1
PART: Pre-trained Authorship Representation TransformerCode1
Equivariant Image ModelingCode1
MAgNet: Mesh Agnostic Neural PDE SolverCode1
MatSAM: Efficient Extraction of Microstructures of Materials via Visual Large ModelCode1
Exploring the Best Practices of Query Expansion with Large Language ModelsCode1
GOMAA-Geo: GOal Modality Agnostic Active Geo-localizationCode1
Benchmarking Vision, Language, & Action Models in Procedurally Generated, Open Ended Action EnvironmentsCode1
Learning the Travelling Salesperson Problem Requires Rethinking GeneralizationCode1
A Two-stage Reinforcement Learning-based Approach for Multi-entity Task AllocationCode1
Augmenting Efficient Real-time Surgical Instrument Segmentation in Video with Point Tracking and Segment AnythingCode1
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulasCode1
Learning Quadrupedal Locomotion over Challenging TerrainCode1
Large Language Models are Good Prompt Learners for Low-Shot Image ClassificationCode1
Label Agnostic Pre-training for Zero-shot Text ClassificationCode1
Learning Modular Simulations for Homogeneous SystemsCode1
LR0.FM: Low-Res Benchmark and Improving Robustness for Zero-Shot Classification in Foundation ModelsCode1
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary InvestigationCode1
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement LearningCode1
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual PoliciesCode1
Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTVCode1
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team CompositionCode1
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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