Efficient Computing

Flexible Residual Binarization for Image Super-Resolution ICML 2024 FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation NeurIPS 2024 Flextron: Many-in-One Flexible Large Language Model ICML 2024 FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search AutoML 2024 FlowIE: Efficient Image Enhancement via Rectified Flow CVPR 2024 Flow Scheduling with Imprecise Knowledge NSDI 2024 Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation EMNLP 2024 Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning ICML 2024 FoVNet: Configurable Field-of-View Speech Enhancement with Low Computation and Distortion for Smart Glasses Interspeech 2024 FrameQuant: Flexible Low-Bit Quantization for Transformers ICML 2024 FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling ICLR 2024 FreeV: Free Lunch For Vocoders Through Pseudo Inversed Mel Filter Interspeech 2024 Free your mouse! Command Large Language Models to Generate Code to Format Word Documents EMNLP 2024 Frequency Decoupling for Motion Magnification via Multi-Level Isomorphic Architecture CVPR 2024 From Compliant to Rigid Contact Simulation: a Unified and Efficient Approach RSS 2024 From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems ICML 2024 From Linguistic Linked Data to Big Data COLING 2024 From Multimodal LLM to Human-level AI: Modality, Instruction, Reasoning, Efficiency and beyond COLING 2024 From Reading to Compressing: Exploring the Multi-document Reader for Prompt Compression EMNLP 2024 Full Parameter Fine-tuning for Large Language Models with Limited Resources ACL 2024 Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models NeurIPS 2024 Fundus: A Simple-to-Use News Scraper Optimized for High Quality Extractions ACL 2024 GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection ICML 2024 Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks AAAI 2024 Gated Linear Attention Transformers with Hardware-Efficient Training ICML 2024