SOTAVerified

Zero-shot Generalization

Papers

Showing 76100 of 572 papers

TitleStatusHype
Detecting Everything in the Open World: Towards Universal Object DetectionCode2
Collaborative Decoding Makes Visual Auto-Regressive Modeling EfficientCode2
Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot LearningCode2
Matryoshka Diffusion ModelsCode2
Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge DistillationCode2
Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache CompressionCode2
RoboUniView: Visual-Language Model with Unified View Representation for Robotic ManipulationCode2
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model PerformanceCode2
Crosslingual Generalization through Multitask FinetuningCode2
Efficient Alignment of Unconditioned Action Prior for Language-conditioned Pick and Place in ClutterCode2
EcomGPT: Instruction-tuning Large Language Models with Chain-of-Task Tasks for E-commerceCode2
RecGPT: A Foundation Model for Sequential RecommendationCode2
VIMA: General Robot Manipulation with Multimodal PromptsCode2
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary InvestigationCode1
CLIP-Forge: Towards Zero-Shot Text-to-Shape GenerationCode1
LR0.FM: Low-Res Benchmark and Improving Robustness for Zero-Shot Classification in Foundation ModelsCode1
CLIP-Embed-KD: Computationally Efficient Knowledge Distillation Using Embeddings as TeachersCode1
M^3GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and GenerationCode1
Gradient Ascent Post-training Enhances Language Model GeneralizationCode1
GOMAA-Geo: GOal Modality Agnostic Active Geo-localizationCode1
Grounding Language to Entities and Dynamics for Generalization in Reinforcement LearningCode1
MAgNet: Mesh Agnostic Neural PDE SolverCode1
Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networksCode1
Generalization to New Actions in Reinforcement LearningCode1
Boosting Segment Anything Model Towards Open-Vocabulary LearningCode1
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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