Efficient Computing

Improved Efficiency Based on Learned Saccade and Continuous Scene Reconstruction From Foveated Visual Sampling ICLR 2024 Improved Techniques for Quantizing Deep Networks With Adaptive Bit-Widths WACV 2024 Improving Audio Classification with Low-Sampled Microphone Input: An Empirical Study Using Model Self-Distillation Interspeech 2024 Improving Computational Complexity in Statistical Models with Local Curvature Information ICML 2024 Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning ICML 2024 Improving Factual Consistency of News Summarization by Contrastive Preference Optimization EMNLP 2024 Improving Personalized Sentiment Representation with Knowledge-enhanced and Parameter-efficient Layer Normalization COLING 2024 Improving Repository-level Code Search with Text Conversion NAACL 2024 Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy EMNLP 2024 Improving Token-Based World Models with Parallel Observation Prediction ICML 2024 Improving Transformers with Dynamically Composable Multi-Head Attention ICML 2024 IM-Unpack: Training and Inference with Arbitrarily Low Precision Integers ICML 2024 InceptionNeXt: When Inception Meets ConvNeXt CVPR 2024 In-Context Example Ordering Guided by Label Distributions NAACL 2024 Incorporating Serverless Computing into P2P Networks for ML Training: In-Database Tasks and Their Scalability Implications (Student Abstract) AAAI 2024 Increasing information for model predictive control with semi-Markov decision processes L4DC 2024 In Defense of Structural Sparse Adapters for Concurrent LLM Serving EMNLP 2024 Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models NeurIPS 2024 Inf-DiT: Upsampling any-resolution image with memory-efficient diffusion transformer. ECCV 2024 InferCept: Efficient Intercept Support for Augmented Large Language Model Inference ICML 2024 Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation EMNLP 2024 InfiniPot: Infinite Context Processing on Memory-Constrained LLMs EMNLP 2024 InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory NeurIPS 2024 InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning ICLR 2024 InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization ICML 2024