Efficient Computing

Efficiency for Free: Ideal Data Are Transportable Representations NeurIPS 2024 Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day ICLR 2024 Efficient Active Learning with Adapters EMNLP 2024 Efficient Anatomy Segmentation in Laparoscopic Surgery using Multi-Teacher Knowledge Distillation MIDL 2024 Efficient and Effective Time-Series Forecasting with Spiking Neural Networks ICML 2024 Efficient Aspect-Based Summarization of Climate Change Reports with Small Language Models EMNLP 2024 Efficient Audio Captioning with Encoder-Level Knowledge Distillation Interspeech 2024 Efficient Benchmarking (of Language Models) NAACL 2024 Efficient CNNs with Quaternion Transformations and Pruning for Audio Tagging Interspeech 2024 Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning NeurIPS 2024 Efficient Contrastive Learning for Fast and Accurate Inference on Graphs ICML 2024 Efficient ConvBN Blocks for Transfer Learning and Beyond ICLR 2024 Efficient Denoising Diffusion via Probabilistic Masking ICML 2024 EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models ICLR 2024 Efficient End-to-End Visual Document Understanding with Rationale Distillation NAACL 2024 Efficient Fine-tuning of Audio Spectrogram Transformers via Soft Mixture of Adapters Interspeech 2024 Efficient Large Multi-modal Models via Visual Context Compression NeurIPS 2024 Efficient Learning of Event-based Dense Representation using Hierarchical Memories with Adaptive Update ECCV 2024 Efficient Lifelong Model Evaluation in an Era of Rapid Progress NeurIPS 2024 Efficient Lightweight Image Denoising with Triple Attention Transformer AAAI 2024 Efficient Low-Dimensional Compression of Overparameterized Models AISTATS 2024 Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits ICML 2024 Efficiently Distilling LLMs for Edge Applications NAACL 2024 Efficient Model Stealing Defense with Noise Transition Matrix CVPR 2024 Efficient multi-prompt evaluation of LLMs NeurIPS 2024