Efficient Computing

A CURATEd CATalog: Rethinking the Extraction of Pretraining Corpora for Mid-Resourced Languages COLING 2024 AdaBM: On-the-Fly Adaptive Bit Mapping for Image Super-Resolution CVPR 2024 AdaDiff: Accelerating Diffusion Models through Step-Wise Adaptive Computation ECCV 2024 AdaLomo: Low-memory Optimization with Adaptive Learning Rate ACL 2024 Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models ICML 2024 Adapter Learning from Pre-trained Model for Robust Spoof Speech Detection Interspeech 2024 Adaptive Compression in Federated Learning via Side Information AISTATS 2024 Adaptive Deep Neural Network Inference Optimization With EENet WACV 2024 Adaptive Depth Networks with Skippable Sub-Paths NeurIPS 2024 Adaptive Exploration for Data-Efficient General Value Function Evaluations NeurIPS 2024 Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders ICLR 2024 Adaptive Sampling for Efficient Softmax Approximation NeurIPS 2024 Adaptive Window Pruning for Efficient Local Motion Deblurring ICLR 2024 AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning EMNLP 2024 ADELT: Transpilation between Deep Learning Frameworks IJCAI 2024 Advancing Dynamic Sparse Training by Exploring Optimization Opportunities ICML 2024 Adversarially Robust Dense-Sparse Tradeoffs via Heavy-Hitters NeurIPS 2024 Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies ICML 2024 A Dynamical Model of Neural Scaling Laws ICML 2024 AESim: A Data-Driven Aircraft Engine Simulator IJCAI 2024 A fast algorithm to simulate nonlinear resistive networks ICML 2024 AFPQ: Asymmetric Floating Point Quantization for LLMs ACL 2024 "A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation" ECCV 2024 A General and Efficient Training for Transformer via Token Expansion CVPR 2024 A General Implicit Framework for Fast NeRF Composition and Rendering AAAI 2024