Learned Codecs, AI Compression, Rate-Distortion Theory, Entropy Models
Generative AI Model Data Pre-Training on Kubernetes: A Use Case Study - DevConf.CZ 2025
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RealSR-R1: Reinforcement Learning for Real-World Image Super-Resolution with Vision-Language Chain-of-Thought
arxiv.orgยท3d
ReMAR-DS: Recalibrated Feature Learning for Metal Artifact Reduction and CT Domain Transformation
arxiv.orgยท1d
HIDE and Seek: Detecting Hallucinations in Language Models via Decoupled Representations
arxiv.orgยท2d
Surgery-R1: Advancing Surgical-VQLA with Reasoning Multimodal Large Language Model via Reinforcement Learning
arxiv.orgยท1d
Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation
arxiv.orgยท11h
Imputation of Longitudinal Data Using GANs: Challenges and Implications for Classification
arxiv.orgยท2d
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