ELIC introduces uneven space-channel context modeling, leveraging energy compaction for fast, high-quality image compression with rapid preview decoding.

Dailan He, Ziming Yang, Weikun Peng et al.

This paper analyzes challenges in forecast evaluation, proposing best practices and pitfalls avoidance strategies.

Hansika Hewamalage, Klaus Ackermann, Christoph Bergmeir

This paper introduces a single-image facial detail recovery method using implicit surface representation and StyleGAN-based texture completion, achieving state-of-the-art results.

Xingyu Ren, Alexandros Lattas, Baris Gecer et al.

TensoRF employs tensor decomposition of 4D feature tensors for fast, compact scene radiance field reconstruction, outperforming NeRF in speed and size.

Anpei Chen, Zexiang Xu, Andreas Geiger et al.

AutoSDF uses autoregressive priors for 3D shape completion, reconstruction, and generation, surpassing existing methods.

Paritosh Mittal, Yen-Chi Cheng, Maneesh Singh et al.

Systematic review of structure factor estimators, introduces hyperuniformity statistical test, and provides Python toolbox.

Diala Hawat, Guillaume Gautier, Rémi Bardenet et al.

Introduces a Hermite polynomial-based Gaussian Hermite DPP sampling method leveraging random matrix spectral density, improving Monte Carlo integration efficiency.

Nicholas P Baskerville

SAL uses spectral decomposition to remove protected attribute info from neural representations, effective for linear and nonlinear cases.

Shun Shao, Yftah Ziser, Shay B. Cohen

ReACC combines retrieval and autoregressive modeling, achieving state-of-the-art Python and Java code completion.

Shuai Lu, Nan Duan, Hojae Han et al.

Proposed an RL method for dynamic gait control respecting footstep constraints, validated on Cassie robot.

Helei Duan, Ashish Malik, Jeremy Dao et al.

ScienceWorld uses interactive text environments to train small agents (150k params) that outperform large static models (11B params) in elementary science reasoning.

Ruoyao Wang, Peter Jansen, Marc-Alexandre Côté et al.

SummaReranker improves abstractive summarization by 5.44% ROUGE-1 on CNN/DM using a multi-task mixture-of-experts re-ranking framework.

Mathieu Ravaut, Shafiq Joty, Nancy F. Chen

Chart-to-Text provides a large-scale benchmark for chart summarization with 44,096 charts.

Shankar Kantharaj, Rixie Tiffany Ko Leong, Xiang Lin et al.

Self-supervised MAE pretraining on large-scale real images improves pixel-based robot control, outperforming supervised encoders by up to 80%.

Tete Xiao, Ilija Radosavovic, Trevor Darrell et al.

This study reveals FID's high dependence on ImageNet classes, its manipulability, and proposes Top-N classification histogram matching to analyze biases.

Tuomas Kynkäänniemi, Tero Karras, Miika Aittala et al.

Model soups: averaging multiple fine-tuned models boosts accuracy to 90.94% on ImageNet without extra inference cost.

Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre et al.

Extends the mean projection theorem to continuous spaces with finite-rank orthogonal projections; introduces a new variance formula for exterior powers.

Adrien Kassel, Thierry Lévy

DINO integrates contrastive denoising, mixed query initialization, and look-forward twice, achieving 49.4AP in 12 epochs, outperforming DN-DETR.

Hao Zhang, Feng Li, Shilong Liu et al.

Proposes a nonparametric e-detector framework for sequential change detection with non-asymptotic ARL guarantees.

Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo

GeoDiff employs a geometric diffusion model for direct atomic coordinate generation, outperforming SOTA especially on large molecules.

Minkai Xu, Lantao Yu, Yang Song et al.