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conftrace_

efficient computing

820 papers

EC

Papers

Foveated Instance Segmentation CVPR 2025 FreeNet: Liberating Depth-Wise Separable Operations for Building Faster Mobile Vision Architectures AAAI 2025 GigaChat Family: Efficient Russian Language Modeling Through Mixture of Experts Architecture ACL 2025 GradQ-ViT: Robust and Efficient Gradient Quantization for Vision Transformers AAAI 2025 GraphKV: Breaking the Static Selection Paradigm with Graph-Based KV Cache Eviction EMNLP 2025 Harnessing Input-Adaptive Inference for Efficient VLN ICCV 2025 Harnessing Massive Satellite Imagery with Efficient Masked Image Modeling ICCV 2025 HyPiDecoder: Hybrid Pixel Decoder for Efficient Segmentation and Detection ICCV 2025 Importance-Based Token Merging for Efficient Image and Video Generation ICCV 2025 Improving Efficiency in Large Language Models via Extendable Block Floating Point Representation ACL 2025 Improving the Efficiency of Visually Augmented Language Models COLING 2025 Inceptive Transformers: Enhancing Contextual Representations through Multi-Scale Feature Learning Across Domains and Languages EMNLP 2025 Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking ACL 2025 IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs EMNLP 2025 Iterative Layer Pruning for Efficient Translation Inference EMNLP 2025 KD-MSLRT: Lightweight Sign Language Recognition Model Based on Mediapipe and 3D to 1D Knowledge Distillation AAAI 2025 Layer- and Timestep-Adaptive Differentiable Token Compression Ratios for Efficient Diffusion Transformers CVPR 2025 Layer-wise Vision Injection with Disentangled Attention for Efficient LVLMs ICCV 2025 LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers AAAI 2025 Learning Sparsity for Effective and Efficient Music Performance Question Answering ACL 2025 Learning to Inference Adaptively for Multimodal Large Language Models ICCV 2025 LEO-MINI: An Efficient Multimodal Large Language Model using Conditional Token Reduction and Mixture of Multi-Modal Experts EMNLP 2025 Let’s Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model COLING 2025 LightL2S: Ultra-Low Complexity Lip-to-Speech Synthesis for Multi-Speaker Scenarios Interspeech 2025 LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models ICCV 2025