· ai
[Paper] Generalising E-prop to Deep Networks
Recurrent networks are typically trained with backpropagation through time (BPTT). However, BPTT requires storing the history of all states in the network and t...
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- · devops
[Paper] Document Data Matching for Blockchain-Supported Real Estate
The real estate sector remains highly dependent on manual document handling and verification, making processes inefficient and prone to fraud. This work present...
- · ai
[Paper] PackKV: Reducing KV Cache Memory Footprint through LLM-Aware Lossy Compression
Transformer-based large language models (LLMs) have demonstrated remarkable potential across a wide range of practical applications. However, long-context infer...
- · ai
[Paper] RedunCut: Measurement-Driven Sampling and Accuracy Performance Modeling for Low-Cost Live Video Analytics
Live video analytics (LVA) runs continuously across massive camera fleets, but inference cost with modern vision models remains high. To address this, dynamic m...
- · devops
[Paper] Data Heterogeneity-Aware Client Selection for Federated Learning in Wireless Networks
Federated Learning (FL) enables mobile edge devices, functioning as clients, to collaboratively train a decentralized model while ensuring local data privacy. H...
- · ai
[Paper] TESO Tabu Enhanced Simulation Optimization for Noisy Black Box Problems
Simulation optimization (SO) is frequently challenged by noisy evaluations, high computational costs, and complex, multimodal search landscapes. This paper intr...
- · ai
[Paper] Decoupling Constraint from Two Direction in Evolutionary Constrained Multi-objective Optimization
Real-world Constrained Multi-objective Optimization Problems (CMOPs) often contain multiple constraints, and understanding and utilizing the coupling between th...
- · ai
[Paper] Identification of fixations and saccades in eye-tracking data using adaptive threshold-based method
Properties of ocular fixations and saccades are highly stochastic during many experimental tasks, and their statistics are often used as proxies for various asp...
- · ai
[Paper] Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion
Diffusion-based video super-resolution (VSR) methods achieve strong perceptual quality but remain impractical for latency-sensitive settings due to reliance on ...
- · ai
[Paper] Training AI Co-Scientists Using Rubric Rewards
AI co-scientists are emerging as a tool to assist human researchers in achieving their research goals. A crucial feature of these AI co-scientists is the abilit...
- · ai
[Paper] Diffusion Knows Transparency: Repurposing Video Diffusion for Transparent Object Depth and Normal Estimation
Transparent objects remain notoriously hard for perception systems: refraction, reflection and transmission break the assumptions behind stereo, ToF and purely ...
- · ai
[Paper] Eliciting Behaviors in Multi-Turn Conversations
Identifying specific and often complex behaviors from large language models (LLMs) in conversational settings is crucial for their evaluation. Recent work propo...