A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Beichen Zhang, Yuhang Zang, Xiao-wen Dong, et al.
Proposes Vision-Language Synergy Reasoning (VLSR) and Modality-Switch Self-Correction (MSSC) to improve abstract reasoning on ARC-AGI by combining visual abstraction with linguistic reasoning.
Andrés Marafioti, Orr Zohar, Miquel Farr'e, et al.
SmolVLM introduces a family of compact vision-language models achieving strong performance on resource-constrained devices through aggressive token compression and optimized encoder-LM balance.
Antonio Emanuele Ciná, Kathrin Grosse, Ambra Demontis, et al.
A comprehensive survey systematizing 15 years of poisoning attacks and defenses in machine learning, with a focus on computer vision.
Nicholas Baker, Hongjing Lu, Gennady Erlikhman, et al.
Deep convolutional networks classify objects using local edge features, not global shape, unlike human vision.
Soren Kejser Jensen, Torben Bach Pedersen, Christian Thomsen
A survey classifying Time Series Management Systems by architecture, storage, querying, stream processing, and approximate query processing, with a vision for next-generation systems.
Athanasios Voulodimos, Nikolaos Doulamis, Anastasios Doulamis, et al.
This review surveys deep learning methods for computer vision, covering CNNs, DBMs, DBNs, and SDAEs, their history, structure, applications, and future directions.
Yuqi Han, Huaping Liu, Yufeng Wang, et al.
A comprehensive review of recent UAV vision techniques for object detection, tracking, and semantic segmentation, highlighting challenges and future directions.
Rodrigo N. Calheiros, Rajiv Ranjan, Anton Beloglazov, et al.
CloudSim is an extensible simulation toolkit for modeling and evaluating cloud computing resource provisioning policies.
Ranjay Krishna, Yuke Zhu, Oliver Groth, et al.
The Visual Genome dataset provides dense annotations of objects, attributes, and relationships in over 108K images to enable cognitive tasks like image description and question answering.
Supriya V. Mahadevkar, Bharti Khemani, Shruti Patil, et al.
A systematic review of machine learning styles in computer vision, covering supervised, unsupervised, reinforcement, and emerging techniques like zero-shot and self-supervised learning.
Michelle Brachman, Amina El-Ashry, Casey Dugan, et al.
A survey study of knowledge workers reveals current LLM uses like code generation and text improvement, and a future vision of integrated workflow and data interaction.
Mingzhi Chen, Taiming Lu, Jiacheng Zhu, et al.
Introduces Derf, a normalization-free pointwise function that outperforms LayerNorm, RMSNorm, and DyT across vision, speech, and DNA tasks.