Efficient Computing

NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance ICLR 2025 Nested Expectations with Kernel Quadrature ICML 2025 NestQuant: nested lattice quantization for matrix products and LLMs ICML 2025 NetMoE: Accelerating MoE Training through Dynamic Sample Placement ICLR 2025 Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning ICML 2025 Neural Block Compression: Variable Bitrates Feature Blocks for Texture Representation AAAI 2025 Neural Compression for 3D Geometry Sets ICCV 2025 Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics Discovery ICML 2025 Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer ACL 2025 NeuroAda: Activating Each Neuron’s Potential for Parameter-Efficient Fine-Tuning EMNLP 2025 Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing IJCAI 2025 NeuroViG - Integrating Event Cameras for Resource-Efficient Video Grounding WACV 2025 Neutrino: Fine-grained GPU Kernel Profiling via Programmable Probing OSDI 2025 NExUME: Adaptive Training and Inference for DNNs under Intermittent Power Environments ICLR 2025 Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising AAAI 2025 Nonparametric Teaching for Graph Property Learners ICML 2025 No Pains, More Gains: Recycling Sub-Salient Patches for Efficient High-Resolution Image Recognition CVPR 2025 Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models NAACL 2025 Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning ICLR 2025 Not All Layers of LLMs Are Necessary During Inference IJCAI 2025 Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models ICLR 2025 Not All Tokens Matter All The Time: Dynamic Token Aggregation Towards Efficient Detection Transformers ICML 2025 Numerical Pruning for Efficient Autoregressive Models AAAI 2025 NVILA: Efficient Frontier Visual Language Models CVPR 2025 OAC: Output-adaptive Calibration for Accurate Post-training Quantization AAAI 2025