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Apr 8, 2024
Apr 8, 2024Collections
Discover the best community collections!
Collections including paper arxiv:2404.04125
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Dec 6, 2024
Dec 6, 2024-
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Paper • 2404.04125 • Published • 29 -
Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies
Paper • 2404.08197 • Published • 29 -
Probing the 3D Awareness of Visual Foundation Models
Paper • 2404.08636 • Published • 14 -
AM-RADIO: Agglomerative Model -- Reduce All Domains Into One
Paper • 2312.06709 • Published • 2
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Apr 23, 2024
Apr 23, 2024-
Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems
Paper • 1705.04146 • Published • 1 -
Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?
Paper • 2404.03411 • Published • 11 -
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Paper • 2404.04125 • Published • 29 -
Hydragen: High-Throughput LLM Inference with Shared Prefixes
Paper • 2402.05099 • Published • 20
Collection by
Oct 19, 2024
Oct 19, 2024-
MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions
Paper • 2403.19651 • Published • 25 -
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Paper • 2404.04125 • Published • 29 -
Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies
Paper • 2404.08197 • Published • 29 -
Gecko: Versatile Text Embeddings Distilled from Large Language Models
Paper • 2403.20327 • Published • 48
Collection by
Apr 8, 2024
Apr 8, 2024Collection by
Jun 5, 2024
Jun 5, 2024-
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Paper • 2404.04125 • Published • 29 -
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
Paper • 2404.03653 • Published • 36 -
Cross-Attention Makes Inference Cumbersome in Text-to-Image Diffusion Models
Paper • 2404.02747 • Published • 13 -
3D Congealing: 3D-Aware Image Alignment in the Wild
Paper • 2404.02125 • Published • 10
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Apr 11, 2024
Apr 11, 2024Collection by
Apr 8, 2024
Apr 8, 2024Collection by
Nov 2, 2024
Nov 2, 2024-
Lumiere: A Space-Time Diffusion Model for Video Generation
Paper • 2401.12945 • Published • 86 -
Long-form factuality in large language models
Paper • 2403.18802 • Published • 26 -
ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion
Paper • 2403.18818 • Published • 28 -
TC4D: Trajectory-Conditioned Text-to-4D Generation
Paper • 2403.17920 • Published • 18
Collection by
Apr 16, 2024
Apr 16, 2024-
Enhancing Document Information Analysis with Multi-Task Pre-training: A Robust Approach for Information Extraction in Visually-Rich Documents
Paper • 2310.16527 • Published • 2 -
CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object Detection
Paper • 2310.02960 • Published • 1 -
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Paper • 2403.09611 • Published • 129 -
Veagle: Advancements in Multimodal Representation Learning
Paper • 2403.08773 • Published • 10
Collection by
Apr 8, 2024
Apr 8, 2024Collection by
Jun 5, 2024
Jun 5, 2024-
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Paper • 2404.04125 • Published • 29 -
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
Paper • 2404.03653 • Published • 36 -
Cross-Attention Makes Inference Cumbersome in Text-to-Image Diffusion Models
Paper • 2404.02747 • Published • 13 -
3D Congealing: 3D-Aware Image Alignment in the Wild
Paper • 2404.02125 • Published • 10
Collection by
Dec 6, 2024
Dec 6, 2024-
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Paper • 2404.04125 • Published • 29 -
Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies
Paper • 2404.08197 • Published • 29 -
Probing the 3D Awareness of Visual Foundation Models
Paper • 2404.08636 • Published • 14 -
AM-RADIO: Agglomerative Model -- Reduce All Domains Into One
Paper • 2312.06709 • Published • 2
Collection by
Apr 11, 2024
Apr 11, 2024Collection by
Apr 23, 2024
Apr 23, 2024-
Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems
Paper • 1705.04146 • Published • 1 -
Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?
Paper • 2404.03411 • Published • 11 -
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Paper • 2404.04125 • Published • 29 -
Hydragen: High-Throughput LLM Inference with Shared Prefixes
Paper • 2402.05099 • Published • 20
Collection by
Apr 8, 2024
Apr 8, 2024Collection by
Oct 19, 2024
Oct 19, 2024-
MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions
Paper • 2403.19651 • Published • 25 -
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Paper • 2404.04125 • Published • 29 -
Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies
Paper • 2404.08197 • Published • 29 -
Gecko: Versatile Text Embeddings Distilled from Large Language Models
Paper • 2403.20327 • Published • 48
Collection by
Nov 2, 2024
Nov 2, 2024-
Lumiere: A Space-Time Diffusion Model for Video Generation
Paper • 2401.12945 • Published • 86 -
Long-form factuality in large language models
Paper • 2403.18802 • Published • 26 -
ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion
Paper • 2403.18818 • Published • 28 -
TC4D: Trajectory-Conditioned Text-to-4D Generation
Paper • 2403.17920 • Published • 18
Collection by
Apr 8, 2024
Apr 8, 2024Collection by
Apr 16, 2024
Apr 16, 2024-
Enhancing Document Information Analysis with Multi-Task Pre-training: A Robust Approach for Information Extraction in Visually-Rich Documents
Paper • 2310.16527 • Published • 2 -
CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object Detection
Paper • 2310.02960 • Published • 1 -
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Paper • 2403.09611 • Published • 129 -
Veagle: Advancements in Multimodal Representation Learning
Paper • 2403.08773 • Published • 10