Efficient Computing

INMT-Lite: Accelerating Low-Resource Language Data Collection via Offline Interactive Neural Machine Translation COLING 2024 Instance-Aware Group Quantization for Vision Transformers CVPR 2024 Integrated Hardware Architecture and Device Placement Search ICML 2024 InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD NeurIPS 2024 In value-based deep reinforcement learning, a pruned network is a good network ICML 2024 Investigating Acceleration of LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with ‘LITE’ NAACL 2024 Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models ACL 2024 Investigating Web Corpus Filtering Methods for Language Model Development in Japanese NAACL 2024 IR-FRestormer: Iterative Refinement With Fourier-Based Restormer for Accelerated MRI Reconstruction WACV 2024 iTrendRNN: An Interpretable Trend-Aware RNN for Meteorological Spatiotemporal Prediction AAAI 2024 IT-Tuning : Parameter Efficient Information Token Tuning for Language Model ACL 2024 Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing EMNLP 2024 Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization ICML 2024 Jointly-Learned Exit and Inference for a Dynamic Neural Network ICLR 2024 JointSQ: Joint Sparsification-Quantization for Distributed Learning CVPR 2024 JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning ACL 2024 KernelWarehouse: Rethinking the Design of Dynamic Convolution ICML 2024 KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache ICML 2024 Knowledge boosting during low-latency inference Interspeech 2024 Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models ICML 2024 Knowledge Transfer via Compact Model in Federated Learning (Student Abstract) AAAI 2024 Known Knowns and Unknowns: Near-realtime Earth Observation Via Query Bifurcation in Serval NSDI 2024 Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference NeurIPS 2024 KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches EMNLP 2024 KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization NeurIPS 2024