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Privileged Information Distillation for Language Models

Intermediate

Emiliano Penaloza, Dheeraj Vattikonda et al.Feb 4arXiv

The paper shows how to train a language model with special extra hints (privileged information) during practice so it can still do well later without any hints.

#Privileged Information#Knowledge Distillation#π-Distill

Implicit Neural Representation Facilitates Unified Universal Vision Encoding

Intermediate

Matthew Gwilliam, Xiao Wang et al.Jan 20arXiv

This paper introduces HUVR, a single vision model that can both recognize what’s in an image and reconstruct or generate images from tiny codes.

#Implicit Neural Representation#Hyper-Networks#Vision Transformer

SnapGen++: Unleashing Diffusion Transformers for Efficient High-Fidelity Image Generation on Edge Devices

Intermediate

Dongting Hu, Aarush Gupta et al.Jan 13arXiv

This paper shows how to make powerful image‑generating Transformers run fast on phones without needing the cloud.

#Diffusion Transformer#Sparse Attention#Adaptive Sparse Self-Attention

Papers3

Privileged Information Distillation for Language Models

Implicit Neural Representation Facilitates Unified Universal Vision Encoding

SnapGen++: Unleashing Diffusion Transformers for Efficient High-Fidelity Image Generation on Edge Devices