Efficient Computing

Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs NeurIPS 2024 Task-Aware Encoder Control for Deep Video Compression CVPR 2024 Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation EMNLP 2024 TensorOpera Router: A Multi-Model Router for Efficient LLM Inference EMNLP 2024 Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth NeurIPS 2024 The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers (Student Abstract) AAAI 2024 Time- Memory- and Parameter-Efficient Visual Adaptation CVPR 2024 TinyAgent: Function Calling at the Edge EMNLP 2024 TinyLUT: Tiny Look-Up Table for Efficient Image Restoration at the Edge NeurIPS 2024 TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices NeurIPS 2024 Toward Efficient Inference for Mixture of Experts NeurIPS 2024 Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration ICML 2024 Towards Efficient Verification of Quantized Neural Networks AAAI 2024 Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters EMNLP 2024 Towards General Neural Surrogate Solvers with Specialized Neural Accelerators ICML 2024 Towards More Accurate Diffusion Model Acceleration with A Timestep Tuner CVPR 2024 Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers NeurIPS 2024 Towards training digitally-tied analog blocks via hybrid gradient computation NeurIPS 2024 Transformer-Based Selective Super-resolution for Efficient Image Refinement AAAI 2024 TroL: Traversal of Layers for Large Language and Vision Models EMNLP 2024 Turn Waste into Worth: Rectifying Top-k Router of MoE EMNLP 2024 UniPTS: A Unified Framework for Proficient Post-Training Sparsity CVPR 2024 Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators NeurIPS 2024 Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding ACL 2024 Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance NeurIPS 2024