Efficient Computing

Learning from Offline Foundation Features with Tensor Augmentations NeurIPS 2024 Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs ICML 2024 Learning Linear Block Error Correction Codes ICML 2024 Learning Low-Rank Tensor Cores with Probabilistic ℓ0-Regularized Rank Selection for Model Compression IJCAI 2024 Learning on Large Graphs using Intersecting Communities NeurIPS 2024 Learning rigid-body simulators over implicit shapes for large-scale scenes and vision NeurIPS 2024 Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling ICLR 2024 Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching NeurIPS 2024 Learning to Compile Programs to Neural Networks ICML 2024 Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers NeurIPS 2024 Learning to Route Among Specialized Experts for Zero-Shot Generalization ICML 2024 Learning to Select Views for Efficient Multi-View Understanding CVPR 2024 Learning with Adaptive Resource Allocation ICML 2024 Learn To be Efficient: Build Structured Sparsity in Large Language Models NeurIPS 2024 LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation IJCAI 2024 Length-Aware Multi-Kernel Transformer for Long Document Classification NAACL 2024 Leo: Online ML-based Traffic Classification at Multi-Terabit Line Rate NSDI 2024 LERMO: A Novel Web Game for AI-Enhanced Sign Language Recognition AAAI 2024 Let Me Speak Freely? A Study On The Impact Of Format Restrictions On Large Language Model Performance. EMNLP 2024 Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models EMNLP 2024 Leveraging Adapter for Parameter-Efficient ASR Encoder Interspeech 2024 Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning NeurIPS 2024 LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition AAAI 2024 LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication NeurIPS 2024 LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection ICLR 2024