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Showing 601–650 of 2231 papers

TitleStatusHype
Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering—0
STMDNet: A Lightweight Directional Framework for Motion Pattern Recognition of Tiny TargetsCode0
HEPPO: Hardware-Efficient Proximal Policy Optimization -- A Universal Pipelined Architecture for Generalized Advantage Estimation—0
Sublinear Variational Optimization of Gaussian Mixture Models with Millions to Billions of Parameters—0
Multi-Tenant SmartNICs for In-Network Preprocessing of Recommender Systems—0
MOFA: Discovering Materials for Carbon Capture with a GenAI- and Simulation-Based Workflow—0
No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-k Patch Sampling—0
PixelBrax: Learning Continuous Control from Pixels End-to-End on the GPUCode0
The Streaming Batch Model for Efficient and Fault-Tolerant Heterogeneous Execution—0
Towards Lightweight and Stable Zero-shot TTS with Self-distilled Representation Disentanglement—0
Keras Sig: Efficient Path Signature Computation on GPU in Keras 3—0
A Federated Deep Learning Framework for Cell-Free RSMA Networks—0
TimeRL: Efficient Deep Reinforcement Learning with Polyhedral Dependence Graphs—0
Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing—0
A GPU Implementation of Multi-Guiding Spark Fireworks Algorithm for Efficient Black-Box Neural Network OptimizationCode0
Finite Element Method for HJB in Option Pricing with Stock Borrowing Fees—0
Predicting two-dimensional spatiotemporal chaotic patterns with optimized high-dimensional hybrid reservoir computing—0
Learning from Ambiguous Data with Hard Labels—0
FED: Fast and Efficient Dataset Deduplication Framework with GPU AccelerationCode0
Minimal Interaction Seperated Tuning: A New Paradigm for Visual Adaptation—0
Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and OptimizationCode0
FPGA-based Acceleration of Neural Network for Image Classification using Vitis AI—0
Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors—0
Dynamic Optimization of Storage Systems Using Reinforcement Learning Techniques—0
Pushing the Envelope of Low-Bit LLM via Dynamic Error Compensation—0
Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms—0
Dovetail: A CPU/GPU Heterogeneous Speculative Decoding for LLM inference—0
TPCH: Tensor-interacted Projection and Cooperative Hashing for Multi-view ClusteringCode0
Unsupervised Learning Approach for Beamforming in Cell-Free Integrated Sensing and Communication—0
High-Rank Irreducible Cartesian Tensor Decomposition and Bases of Equivariant SpacesCode0
Power- and Fragmentation-aware Online Scheduling for GPU DatacentersCode0
Hybrid Network- and User-Centric Scalable Cell-Free Massive MIMO for Fronthaul Signaling MinimizationCode0
Answer Set Networks: Casting Answer Set Programming into Deep LearningCode0
Energy consumption of code small language models serving with runtime engines and execution providers—0
AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF ModelsCode0
Comparative Analysis of YOLOv9, YOLOv10 and RT-DETR for Real-Time Weed Detection—0
Accelerating lensed quasar discovery and modeling with physics-informed variational autoencoders—0
DAOP: Data-Aware Offloading and Predictive Pre-Calculation for Efficient MoE InferenceCode0
Accelerating Retrieval-Augmented Generation—0
Learned Data Compression: Challenges and Opportunities for the Future—0
Stellar parameter prediction and spectral simulation using machine learning—0
Protecting Confidentiality, Privacy and Integrity in Collaborative Learning—0
CEEMS: A Resource Manager Agnostic Energy and Emissions Monitoring Stack—0
Machine learning-driven conservative-to-primitive conversion in hybrid piecewise polytropic and tabulated equations of state—0
Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG—0
Zephyr quantum-assisted hierarchical Calo4pQVAE for particle-calorimeter interactions—0
On Simplifying Large-Scale Spatial Vectors: Fast, Memory-Efficient, and Cost-Predictable k-meansCode0
HT-HEDL: High-Throughput Hypothesis Evaluation in Description Logic—0
SPILDL: A Scalable and Parallel Inductive Learner in Description Logic—0
PAL -- Parallel active learning for machine-learned potentialsCode0
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