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Collections including paper arxiv:2407.02687

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data

Paper • 2404.15653 • Published Apr 24, 2024 • 29
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24, 2024 • 14
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Paper • 2405.12130 • Published May 20, 2024 • 50
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Paper • 2405.12981 • Published May 21, 2024 • 33

Controlling Space and Time with Diffusion Models

Paper • 2407.07860 • Published Jul 10, 2024 • 17
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents

Paper • 2407.03300 • Published Jul 3, 2024 • 14
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion

Paper • 2407.01392 • Published Jul 1, 2024 • 44
No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models

Paper • 2407.02687 • Published Jul 2, 2024 • 24

Papers I want to read

Papers in my to-read list

RLHF Workflow: From Reward Modeling to Online RLHF

Paper • 2405.07863 • Published May 13, 2024 • 71
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16, 2024 • 135
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24, 2024 • 55
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27, 2024 • 91

Image-Gen Theoretical

Guiding a Diffusion Model with a Bad Version of Itself

Paper • 2406.02507 • Published Jun 4, 2024 • 17
Step-aware Preference Optimization: Aligning Preference with Denoising Performance at Each Step

Paper • 2406.04314 • Published Jun 6, 2024 • 30
An Image is Worth 32 Tokens for Reconstruction and Generation

Paper • 2406.07550 • Published Jun 11, 2024 • 60
Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?

Paper • 2406.07546 • Published Jun 11, 2024 • 9

AniClipart: Clipart Animation with Text-to-Video Priors

Paper • 2404.12347 • Published Apr 18, 2024 • 13
MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation

Paper • 2404.11565 • Published Apr 17, 2024 • 15
Dynamic Typography: Bringing Words to Life

Paper • 2404.11614 • Published Apr 17, 2024 • 46
No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models

Paper • 2407.02687 • Published Jul 2, 2024 • 24

No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models

Paper • 2407.02687 • Published Jul 2, 2024 • 24
Inference Performance Optimization for Large Language Models on CPUs

Paper • 2407.07304 • Published Jul 10, 2024 • 53
Why Do Multi-Agent LLM Systems Fail?

Paper • 2503.13657 • Published Mar 17, 2025 • 49

PaperWaitingRead

A False Sense of Safety: Unsafe Information Leakage in 'Safe' AI Responses

Paper • 2407.02551 • Published Jul 2, 2024 • 8
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents

Paper • 2407.03300 • Published Jul 3, 2024 • 14
TokenPacker: Efficient Visual Projector for Multimodal LLM

Paper • 2407.02392 • Published Jul 2, 2024 • 23
No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models

Paper • 2407.02687 • Published Jul 2, 2024 • 24

Papers - Image - Classifier-Free Guidance (CFG)

Guidance - "The intended effect is to decrease the diversity of the samples while increasing the quality of each individual sample."

Classifier-Free Diffusion Guidance

Paper • 2207.12598 • Published Jul 26, 2022 • 5
Adding Conditional Control to Text-to-Image Diffusion Models

Paper • 2302.05543 • Published Feb 10, 2023 • 58
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models

Paper • 2404.07724 • Published Apr 11, 2024 • 14
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Paper • 2406.06525 • Published Jun 10, 2024 • 71

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data

Paper • 2404.15653 • Published Apr 24, 2024 • 29
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24, 2024 • 14
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Paper • 2405.12130 • Published May 20, 2024 • 50
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Paper • 2405.12981 • Published May 21, 2024 • 33

FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation

Paper • 2403.06775 • Published Mar 11, 2024 • 4
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Paper • 2010.11929 • Published Oct 22, 2020 • 20
Data Incubation -- Synthesizing Missing Data for Handwriting Recognition

Paper • 2110.07040 • Published Oct 13, 2021 • 2
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks

Paper • 1811.00056 • Published Oct 31, 2018 • 2

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data

Paper • 2404.15653 • Published Apr 24, 2024 • 29
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24, 2024 • 14
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Paper • 2405.12130 • Published May 20, 2024 • 50
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Paper • 2405.12981 • Published May 21, 2024 • 33

No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models

Paper • 2407.02687 • Published Jul 2, 2024 • 24
Inference Performance Optimization for Large Language Models on CPUs

Paper • 2407.07304 • Published Jul 10, 2024 • 53
Why Do Multi-Agent LLM Systems Fail?

Paper • 2503.13657 • Published Mar 17, 2025 • 49

Controlling Space and Time with Diffusion Models

Paper • 2407.07860 • Published Jul 10, 2024 • 17
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents

Paper • 2407.03300 • Published Jul 3, 2024 • 14
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion

Paper • 2407.01392 • Published Jul 1, 2024 • 44
No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models

Paper • 2407.02687 • Published Jul 2, 2024 • 24

PaperWaitingRead

A False Sense of Safety: Unsafe Information Leakage in 'Safe' AI Responses

Paper • 2407.02551 • Published Jul 2, 2024 • 8
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents

Paper • 2407.03300 • Published Jul 3, 2024 • 14
TokenPacker: Efficient Visual Projector for Multimodal LLM

Paper • 2407.02392 • Published Jul 2, 2024 • 23
No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models

Paper • 2407.02687 • Published Jul 2, 2024 • 24

Papers I want to read

Papers in my to-read list

RLHF Workflow: From Reward Modeling to Online RLHF

Paper • 2405.07863 • Published May 13, 2024 • 71
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16, 2024 • 135
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24, 2024 • 55
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27, 2024 • 91

Papers - Image - Classifier-Free Guidance (CFG)

Guidance - "The intended effect is to decrease the diversity of the samples while increasing the quality of each individual sample."

Classifier-Free Diffusion Guidance

Paper • 2207.12598 • Published Jul 26, 2022 • 5
Adding Conditional Control to Text-to-Image Diffusion Models

Paper • 2302.05543 • Published Feb 10, 2023 • 58
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models

Paper • 2404.07724 • Published Apr 11, 2024 • 14
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Paper • 2406.06525 • Published Jun 10, 2024 • 71

Image-Gen Theoretical

Guiding a Diffusion Model with a Bad Version of Itself

Paper • 2406.02507 • Published Jun 4, 2024 • 17
Step-aware Preference Optimization: Aligning Preference with Denoising Performance at Each Step

Paper • 2406.04314 • Published Jun 6, 2024 • 30
An Image is Worth 32 Tokens for Reconstruction and Generation

Paper • 2406.07550 • Published Jun 11, 2024 • 60
Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?

Paper • 2406.07546 • Published Jun 11, 2024 • 9

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data

Paper • 2404.15653 • Published Apr 24, 2024 • 29
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24, 2024 • 14
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Paper • 2405.12130 • Published May 20, 2024 • 50
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Paper • 2405.12981 • Published May 21, 2024 • 33

AniClipart: Clipart Animation with Text-to-Video Priors

Paper • 2404.12347 • Published Apr 18, 2024 • 13
MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation

Paper • 2404.11565 • Published Apr 17, 2024 • 15
Dynamic Typography: Bringing Words to Life

Paper • 2404.11614 • Published Apr 17, 2024 • 46
No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models

Paper • 2407.02687 • Published Jul 2, 2024 • 24

FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation

Paper • 2403.06775 • Published Mar 11, 2024 • 4
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Paper • 2010.11929 • Published Oct 22, 2020 • 20
Data Incubation -- Synthesizing Missing Data for Handwriting Recognition

Paper • 2110.07040 • Published Oct 13, 2021 • 2
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks

Paper • 1811.00056 • Published Oct 31, 2018 • 2

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