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Showing 2101–2150 of 5629 papers

TitleStatusHype
Unrealized Expectations: Comparing AI Methods vs Classical Algorithms for Maximum Independent Set—0
Fast Sampling of Cosmological Initial Conditions with Gaussian Neural Posterior Estimation—0
Comparative Analysis of FPGA and GPU Performance for Machine Learning-Based Track Reconstruction at LHCbCode0
Ilargi: a GPU Compatible Factorized ML Model Training Framework—0
Brief analysis of DeepSeek R1 and it's implications for Generative AI—0
EasySpec: Layer-Parallel Speculative Decoding for Efficient Multi-GPU Utilization—0
LV-XAttn: Distributed Cross-Attention for Long Visual Inputs in Multimodal Large Language Models—0
Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity—0
ModServe: Scalable and Resource-Efficient Large Multimodal Model Serving—0
ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference—0
Recursive generalized type-2 fuzzy radial basis function neural networks for joint position estimation and adaptive EMG-based impedance control of lower limb exoskeletonsCode0
Longer Attention Span: Increasing Transformer Context Length with Sparse Graph Processing TechniquesCode0
Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models—0
Brain-inspired sparse training enables Transformers and LLMs to perform as fully connected—0
LLM-based Affective Text Generation Quality Based on Different Quantization Values—0
TeZO: Empowering the Low-Rankness on the Temporal Dimension in the Zeroth-Order Optimization for Fine-tuning LLMs—0
Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral Variations—0
adabmDCA 2.0 -- a flexible but easy-to-use package for Direct Coupling AnalysisCode0
CrowdSplat: Exploring Gaussian Splatting For Crowd RenderingCode0
Assessing the Capability of YOLO- and Transformer-based Object Detectors for Real-time Weed Detection—0
One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning—0
PISCO: Pretty Simple Compression for Retrieval-Augmented Generation—0
Static Batching of Irregular Workloads on GPUs: Framework and Application to Efficient MoE Model Inference—0
Towards Scalable Topological Regularizers—0
3DGS^2: Near Second-order Converging 3D Gaussian Splatting—0
GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language ModelsCode0
HEPPO: Hardware-Efficient Proximal Policy Optimization -- A Universal Pipelined Architecture for Generalized Advantage Estimation—0
Learning Versatile Optimizers on a Compute DietCode0
Irrational Complex Rotations Empower Low-bit Optimizers—0
TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking—0
Pushing the Limits of BFP on Narrow Precision LLM Inference—0
Revisiting Ensemble Methods for Stock Trading and Crypto Trading Tasks at ACM ICAIF FinRL Contest 2023-2024—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
FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models—0
Good things come in small packages: Should we build AI clusters with Lite-GPUs?—0
FASP: Fast and Accurate Structured Pruning of Large Language Models—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
Resource-Constrained Federated Continual Learning: What Does Matter?—0
GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping—0
Hierarchical Autoscaling for Large Language Model Serving with Chiron—0
Physics-Informed Latent Neural Operator for Real-time Predictions of Complex Physical Systems—0
Towards Lightweight Time Series Forecasting: a Patch-wise Transformer with Weak Data Enriching—0
Keras Sig: Efficient Path Signature Computation on GPU in Keras 3—0
Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization—0
EXION: Exploiting Inter- and Intra-Iteration Output Sparsity for Diffusion Models—0
Benchmarking Rotary Position Embeddings for Automatic Speech Recognition—0
Towards Early Prediction of Self-Supervised Speech Model Performance—0
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