Collection by
Dec 24, 2024
Dec 24, 2024
Collections
Discover the best community collections!
Collections including paper arxiv:2412.17153
Collection by
Dec 30, 2024
Dec 30, 2024
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Parallelized Autoregressive Visual Generation
Paper • 2412.15119 • Published • 51 -
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching
Paper • 2412.17153 • Published • 34 -
Video-Panda: Parameter-efficient Alignment for Encoder-free Video-Language Models
Paper • 2412.18609 • Published • 16
Collection by
Dec 25, 2024
Dec 25, 2024
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Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding
Paper • 2307.15337 • Published • 37 -
DiTFastAttn: Attention Compression for Diffusion Transformer Models
Paper • 2406.08552 • Published • 24 -
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
Paper • 2406.02540 • Published • 2 -
Can LLMs Learn by Teaching? A Preliminary Study
Paper • 2406.14629 • Published • 20
Collection by
about 16 hours ago
about 16 hours ago
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CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data
Paper • 2404.15653 • Published • 27 -
MoDE: CLIP Data Experts via Clustering
Paper • 2404.16030 • Published • 13 -
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Paper • 2405.12130 • Published • 47 -
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention
Paper • 2405.12981 • Published • 29
Collection by
9 days ago
9 days ago
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 26 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 13 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 41 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 22