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Showing 301–350 of 5629 papers

TitleStatusHype
Characterizing and Optimizing LLM Inference Workloads on CPU-GPU Coupled Architectures—0
ConvShareViT: Enhancing Vision Transformers with Convolutional Attention Mechanisms for Free-Space Optical Accelerators—0
Bringing together invertible UNets with invertible attention modules for memory-efficient diffusion models—0
70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length FloatCode4
PatrolVision: Automated License Plate Recognition in the wild—0
Optimizing LLM Inference: Fluid-Guided Online Scheduling with Memory ConstraintsCode4
CAT: A Conditional Adaptation Tailor for Efficient and Effective Instance-Specific Pansharpening on Real-World Data—0
Anchors no more: Using peculiar velocities to constrain H_0 and the primordial Universe without calibratorsCode0
Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization—0
Tokenize Image Patches: Global Context Fusion for Effective Haze Removal in Large ImagesCode2
aweSOM: a CPU/GPU-accelerated Self-organizing Map and Statistically Combined Ensemble Framework for Machine-learning Clustering Analysis—0
Towards On-Device Learning and Reconfigurable Hardware Implementation for Encoded Single-Photon Signal Processing—0
MoE-Lens: Towards the Hardware Limit of High-Throughput MoE LLM Serving Under Resource Constraints—0
Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models—0
TensorNEAT: A GPU-accelerated Library for NeuroEvolution of Augmenting TopologiesCode3
Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model—0
Spectral Normalization for Lipschitz-Constrained Policies on Learning Humanoid Locomotion—0
SpecEE: Accelerating Large Language Model Inference with Speculative Early Exiting—0
MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI ApplicationsCode3
EO-VLM: VLM-Guided Energy Overload Attacks on Vision Models—0
TorchFX: A modern approach to Audio DSP with PyTorch and GPU accelerationCode2
Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference ServingCode1
DGOcc: Depth-aware Global Query-based Network for Monocular 3D Occupancy Prediction—0
PoGO: A Scalable Proof of Useful Work via Quantized Gradient Descent and Merkle Proofs—0
Search-contempt: a hybrid MCTS algorithm for training AlphaZero-like engines with better computational efficiency—0
GPT Carry-On: Training Foundation Model for Customization Could Be Simple, Scalable and Affordable—0
A Comparison of Deep Learning Methods for Cell Detection in Digital CytologyCode0
CRYSIM: Prediction of Symmetric Structures of Large Crystals with GPU-based Ising MachinesCode0
Accelerating LLM Inference Throughput via Asynchronous KV Cache Prefetching—0
GPU-accelerated Evolutionary Many-objective Optimization Using Tensorized NSGA-IIICode3
Nonuniform-Tensor-Parallelism: Mitigating GPU failure impact for Scaled-up LLM Training—0
HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE InferenceCode2
HRMedSeg: Unlocking High-resolution Medical Image segmentation via Memory-efficient Attention ModelingCode1
SmolVLM: Redefining small and efficient multimodal models—0
PRIMA.CPP: Speeding Up 70B-Scale LLM Inference on Low-Resource Everyday Home ClustersCode0
Leveraging State Space Models in Long Range Genomics—0
Weak-for-Strong: Training Weak Meta-Agent to Harness Strong ExecutorsCode2
Scaling Graph Neural Networks for Particle Track ReconstructionCode1
Stereo-LiDAR Fusion by Semi-Global Matching With Discrete Disparity-Matching Cost and SemidensificationCode0
Multimodal Cinematic Video Synthesis Using Text-to-Image and Audio Generation Models—0
SLOs-Serve: Optimized Serving of Multi-SLO LLMs—0
DeepOHeat-v1: Efficient Operator Learning for Fast and Trustworthy Thermal Simulation and Optimization in 3D-IC DesignCode0
Meta-DAN: towards an efficient prediction strategy for page-level handwritten text recognitionCode1
HeterMoE: Efficient Training of Mixture-of-Experts Models on Heterogeneous GPUs—0
Accurate GPU Memory Prediction for Deep Learning Jobs through Dynamic Analysis—0
Scaling Video-Language Models to 10K Frames via Hierarchical Differential DistillationCode2
MegaScale-Infer: Serving Mixture-of-Experts at Scale with Disaggregated Expert Parallelism—0
Incorporating the ChEES Criterion into Sequential Monte Carlo Samplers—0
GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric CalibrationCode2
A Truncated Newton Method for Optimal TransportCode0
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