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Zero-shot Generalization

Papers

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Showing 351–375 of 572 papers

TitleStatusHype
Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model—0
Cross-Embodiment Dexterous Grasping with Reinforcement Learning—0
Cross-Modal Attention Alignment Network with Auxiliary Text Description for zero-shot sketch-based image retrieval—0
Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification with Cross-Modal Retrieval—0
C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing—0
Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation—0
CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray—0
DEAL: Disentangling Transformer Head Activations for LLM Steering—0
Decision Transformer as a Foundation Model for Partially Observable Continuous Control—0
Deep Equivariant Multi-Agent Control Barrier Functions—0
Deep Generative Adversarial Network for Occlusion Removal from a Single Image—0
Deep Learning based Optical Image Super-Resolution via Generative Diffusion Models for Layerwise in-situ LPBF Monitoring—0
Deep learning universal crater detection using Segment Anything Model (SAM)—0
DEL-Ranking: Ranking-Correction Denoising Framework for Elucidating Molecular Affinities in DNA-Encoded Libraries—0
Denoising and Alignment: Rethinking Domain Generalization for Multimodal Face Anti-Spoofing—0
Depth Anything with Any Prior—0
DEUX: Active Exploration for Learning Unsupervised Depth Perception—0
DiffCJK: Conditional Diffusion Model for High-Quality and Wide-coverage CJK Character Generation—0
DiffuVolume: Diffusion Model for Volume based Stereo Matching—0
Disentanglement and Compositionality of Letter Identity and Letter Position in Variational Auto-Encoder Vision Models—0
Disentangling Representations through Multi-task Learning—0
Do Transformers know symbolic rules, and would we know if they did?—0
Do We Need to Create Big Datasets to Learn a Task?—0
DynaPrompt: Dynamic Test-Time Prompt Tuning—0
EasyInsert: A Data-Efficient and Generalizable Insertion Policy—0
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Benchmark Results

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