Efficient Computing

SBCFormer: Lightweight Network Capable of Full-Size ImageNet Classification at 1 FPS on Single Board Computers WACV 2024 Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs NeurIPS 2024 Scalable and Effective Implicit Graph Neural Networks on Large Graphs ICLR 2024 Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention EMNLP 2024 Scalable Higher-Order Tensor Product Spline Models AISTATS 2024 ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency EMNLP 2024 Scaling Beyond the GPU Memory Limit for Large Mixture-of-Experts Model Training ICML 2024 Scaling Down Deep Learning with MNIST-1D ICML 2024 ScalingFilter: Assessing Data Quality through Inverse Utilization of Scaling Laws EMNLP 2024 Scaling Laws for Fine-Grained Mixture of Experts ICML 2024 Scaling Laws for Linear Complexity Language Models EMNLP 2024 Scaling Laws for Sparsely-Connected Foundation Models ICLR 2024 Scaling Laws for the Value of Individual Data Points in Machine Learning ICML 2024 Scaling Tractable Probabilistic Circuits: A Systems Perspective ICML 2024 Scaling transformer neural networks for skillful and reliable medium-range weather forecasting NeurIPS 2024 SCA: Selective Compression Attention for Efficiently Extending the Context Window of Large Language Models EMNLP 2024 SC-MoE: Switch Conformer Mixture of Experts for Unified Streaming and Non-streaming Code-Switching ASR Interspeech 2024 Scoring with Confidence? – Exploring High-confidence Scoring for Saving Manual Grading Effort NAACL 2024 SDNet: An Extremely Efficient Portrait Matting Model via Self-Distillation WACV 2024 SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training NeurIPS 2024 Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices NeurIPS 2024 SEA: State-Exchange Attention for High-Fidelity Physics Based Transformers NeurIPS 2024 Seesaw: Compensating for Nonlinear Reduction with Linear Computations for Private Inference ICML 2024 Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation EMNLP 2024 SEGMENT+: Long Text Processing with Short-Context Language Models EMNLP 2024