How to Allocate Your Tokens? Scaling Laws with Training Steps and Batch Size Paper • 2607.01487 • Published 4 days ago • 1
VISReg: Variance-Invariance-Sketching Regularization for JEPA training Paper • 2606.02572 • Published Jun 1 • 4
Zimtohrli: An Efficient Psychoacoustic Audio Similarity Metric Paper • 2509.26133 • Published Sep 30, 2025 • 1
Exploiting Semantic and Pixel Representations for Ultra-Low Bitrate Image Compression Paper • 2606.01608 • Published Jun 1 • 1
Dual-Constrained Diffusion Image Compression for Operational Rate-Distortion-Perception Optimization Paper • 2606.13366 • Published 24 days ago • 1
DinoLink: A Token-Centric Representation Compression Framework for Bandwidth-Constrained Collaborative V2X Perception Paper • 2606.26398 • Published 5 days ago • 1
MoECodec: Image Compression for joint human and machine perception via Mixture-of-Experts Paper • 2606.21033 • Published 16 days ago • 1
UI-LIC: A Unified Framework for Evaluating Learned Image Compression Models Paper • 2606.23545 • Published 13 days ago • 1
Removing Batch Normalization Boosts Adversarial Training Paper • 2207.01156 • Published Jul 4, 2022 • 1
TIPSv2: Advancing Vision-Language Pretraining with Enhanced Patch-Text Alignment Paper • 2604.12012 • Published Apr 13 • 15
Scaling Latent Reasoning via Looped Language Models Paper • 2510.25741 • Published Oct 29, 2025 • 233