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Papers

Showing 22762300 of 5629 papers

TitleStatusHype
Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads0
Differentiable Topology Estimating from Curvatures for 3D Shapes0
Automating Energy-Efficient GPU Kernel Generation: A Fast Search-Based Compilation Approach0
Towards Chunk-Wise Generation for Long Videos0
A Runtime-Adaptive Transformer Neural Network Accelerator on FPGAsCode0
k2SSL: A Faster and Better Framework for Self-Supervised Speech Representation Learning0
KVPR: Efficient LLM Inference with I/O-Aware KV Cache Partial RecomputationCode0
Automatic Skull Reconstruction by Deep Learnable Symmetry Enforcement0
A High Energy-Efficiency Multi-core Neuromorphic Architecture for Deep SNN Training0
Knowledge-aware Evolutionary Graph Neural Architecture SearchCode0
A Data-Driven Approach to Dataflow-Aware Online Scheduling for Graph Neural Network Inference0
SAR3D: Autoregressive 3D Object Generation and Understanding via Multi-scale 3D VQVAE0
Plastic Arbor: a modern simulation framework for synaptic plasticity x2013 from single synapses to networks of morphological neuronsCode0
MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking0
Anda: Unlocking Efficient LLM Inference with a Variable-Length Grouped Activation Data Format0
Enabling Efficient Serverless Inference Serving for LLM (Large Language Model) in the Cloud0
Reassessing Layer Pruning in LLMs: New Insights and MethodsCode0
Multi-scale Cascaded Large-Model for Whole-body ROI SegmentationCode0
Simplifying CLIP: Unleashing the Power of Large-Scale Models on Consumer-level Computers0
Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting0
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction0
Deep operator network models for predicting post-burn contraction0
Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training0
FAST-Splat: Fast, Ambiguity-Free Semantics Transfer in Gaussian Splatting0
Faster Multi-GPU Training with PPLL: A Pipeline Parallelism Framework Leveraging Local Learning0
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