Efficient Computing

Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning NeurIPS 2024 Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles EMNLP 2024 Sustainability of Data Center Digital Twins with Reinforcement Learning AAAI 2024 Synergistic Patch Pruning for Vision Transformer: Unifying Intra- & Inter-Layer Patch Importance ICLR 2024 Task-Aware Encoder Control for Deep Video Compression CVPR 2024 TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling AAAI 2024 Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization AAAI 2024 TFG: Unified Training-Free Guidance for Diffusion Models NeurIPS 2024 TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models CVPR 2024 The ALCHEmist: Automated Labeling 500x CHEaper than LLM Data Annotators NeurIPS 2024 The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers (Student Abstract) AAAI 2024 Thinking Forward: Memory-Efficient Federated Finetuning of Language Models NeurIPS 2024 TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices NeurIPS 2024 Toward Data Efficient Model Merging between Different Datasets without Performance Degradation ACML 2024 Towards Accurate Post-training Quantization for Diffusion Models CVPR 2024 Towards Efficient Verification of Quantized Neural Networks AAAI 2024 Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters EMNLP 2024 Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning ACL 2024 Towards training digitally-tied analog blocks via hybrid gradient computation NeurIPS 2024 Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner NeurIPS 2024 Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning CVPR 2024 Turn Waste into Worth: Rectifying Top-k Router of MoE EMNLP 2024 Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps EMNLP 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