1

Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients

ptimus: Warming Serverless ML Inference via Inter-Function Model Transformation

Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators

Non-Exemplar Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement

On the Robustness of Neural-enhanced Video Streaming Against Adversarial Attacks

ProCC: Progressive Cross-primitive Compatibility for Open-World Compositional Zero-Shot Learning

SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models

Towards Test-Time Refusals via Concept Negation

LHNet: A Low-cost Hybrid Network for Single Image Dehazing

GriDB: Scaling Blockchain Database via Sharding and Off-Chain Cross-Shard Mechanism