Efficient Computing

Revisiting the Impact of Pursuing Modularity for Code Generation EMNLP 2024 Revisiting the Integration of Convolution and Attention for Vision Backbone NeurIPS 2024 Revisiting Token Pruning for Object Detection and Instance Segmentation WACV 2024 Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ICML 2024 RevMUX: Data Multiplexing with Reversible Adapters for Efficient LLM Batch Inference EMNLP 2024 Reweighted Solutions for Weighted Low Rank Approximation ICML 2024 Rewrite the Stars CVPR 2024 RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative Adversarial Networks AAAI 2024 RingAttention with Blockwise Transformers for Near-Infinite Context ICLR 2024 RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control JMLR 2024 Robustifying and Boosting Training-Free Neural Architecture Search ICLR 2024 Robustly overfitting latents for flexible neural image compression NeurIPS 2024 Robust Stable Spiking Neural Networks ICML 2024 RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions COLING 2024 RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation ICML 2024 Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models NAACL 2024 RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization NAACL 2024 RT-LA-VocE: Real-Time Low-SNR Audio-Visual Speech Enhancement Interspeech 2024 S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning ICML 2024 Sabre: Hardware-Accelerated Snapshot Compression for Serverless MicroVMs OSDI 2024 SAML: Speaker Adaptive Mixture of LoRA Experts for End-to-End ASR Interspeech 2024 SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction AAAI 2024 Sample-Efficient Multiagent Reinforcement Learning with Reset Replay ICML 2024 Sanitizing Large Language Models in Bug Detection with Data-Flow EMNLP 2024 SAS: Structured Activation Sparsification ICLR 2024