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conftrace_

efficient computing

820 papers

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EC

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model compression (297) convolutional neural network (95) neural network optimization (79) large language model (68) vision transformer (66) attention mechanism (63) neural network (62) knowledge distillation (57) neural architecture search (57) transformer architecture (49)

Papers

LLM-Independent Adaptive RAG: Let the Question Speak for Itself EMNLP 2025 LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models NAACL 2025 LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation COLING 2025 LSNet: See Large, Focus Small CVPR 2025 LUT-Fuse: Towards Extremely Fast Infrared and Visible Image Fusion via Distillation to Learnable Look-Up Tables ICCV 2025 M3Net: Efficient Time-Frequency Integration Network with Mirror Attention for Audio Classification on Edge AAAI 2025 MadaKV: Adaptive Modality-Perception KV Cache Eviction for Efficient Multimodal Long-Context Inference ACL 2025 MaskVD: Region Masking for Efficient Video Object Detection WACV 2025 MBQ: Modality-Balanced Quantization for Large Vision-Language Models CVPR 2025 MDP: Multidimensional Vision Model Pruning with Latency Constraint CVPR 2025 Mitigating Posterior Salience Attenuation in Long-Context LLMs with Positional Contrastive Decoding ACL 2025 Mitigating Sequential Dependencies: A Survey of Algorithms and Systems for Generation-Refinement Frameworks in Autoregressive Models EMNLP 2025 MixA: A Mixed Attention approach with Stable Lightweight Linear Attention to enhance Efficiency of Vision Transformers at the Edge ICCV 2025 Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization EMNLP 2025 MMET: A Multi-Input and Multi-Scale Transformer for Efficient PDEs Solving IJCAI 2025 MobileMamba: Lightweight Multi-Receptive Visual Mamba Network CVPR 2025 Mobile Video Diffusion ICCV 2025 MOBIUS: Big-to-Mobile Universal Instance Segmentation via Multi-modal Bottleneck Fusion and Calibrated Decoder Pruning ICCV 2025 MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation Experts ICLR 2025 MT2ST: Adaptive Multi-Task to Single-Task Learning ACL 2025 Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs ICCV 2025 Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention ACL 2025 Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models ICLR 2025 NVILA: Efficient Frontier Visual Language Models CVPR 2025 OccProphet: Pushing the Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with an Observer-Forecaster-Refiner Framework ICLR 2025