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Zero-shot Generalization

Papers

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Showing 351–400 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
EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM—0
EC-Diffuser: Multi-Object Manipulation via Entity-Centric Behavior Generation—0
Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction—0
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance—0
Enabling Natural Zero-Shot Prompting on Encoder Models via Statement-Tuning—0
Encoding Explanatory Knowledge for Zero-shot Science Question Answering—0
EndoVLA: Dual-Phase Vision-Language-Action Model for Autonomous Tracking in Endoscopy—0
Enhancing Robustness of Vision-Language Models through Orthogonality Learning and Self-Regularization—0
Enhancing Zero-Shot Image Recognition in Vision-Language Models through Human-like Concept Guidance—0
Error-Aware Policy Learning: Zero-Shot Generalization in Partially Observable Dynamic Environments—0
Evolutionary Prompt Optimization Discovers Emergent Multimodal Reasoning Strategies in Vision-Language Models—0
Fairness-Aware Online Meta-learning—0
Federated reinforcement learning for robot motion planning with zero-shot generalization—0
Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings—0
Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models—0
FlexiCrackNet: A Flexible Pipeline for Enhanced Crack Segmentation with General Features Transfered from SAM—0
Foundation Feature-Driven Online End-Effector Pose Estimation: A Marker-Free and Learning-Free Approach—0
From Images to Textual Prompts: Zero-Shot Visual Question Answering With Frozen Large Language Models—0
From Real World to Logic and Back: Learning Generalizable Relational Concepts For Long Horizon Robot Planning—0
G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning—0
gen2seg: Generative Models Enable Generalizable Instance Segmentation—0
Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control—0
Enhancing Vision-Language Models Generalization via Diversity-Driven Novel Feature Synthesis—0
Generalizing Reinforcement Learning to Unseen Actions—0
Generating Out-Of-Distribution Scenarios Using Language Models—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