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conftrace_

computational efficiency

425 papers

Papers

Fast Vision Transformers with HiLo Attention NeurIPS 2022 FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness NeurIPS 2022 Jointly Efficient and Optimal Algorithms for Logistic Bandits AISTATS 2022 Look More but Care Less in Video Recognition NeurIPS 2022 Mask More and Mask Later: Efficient Pre-training of Masked Language Models by Disentangling the [MASK] Token EMNLP 2022 Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems EMNLP 2022 Optimization for Classical Machine Learning Problems on the GPU AAAI 2022 Oracle-Efficient Online Learning for Smoothed Adversaries NeurIPS 2022 Randomized Sketches for Clustering: Fast and Optimal Kernel k-Means NeurIPS 2022 Small Footprint Neural Networks for Acoustic Direction of Arrival Estimation Interspeech 2022 Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifold ACL 2022 Statistical Optimality and Computational Efficiency of Nystrom Kernel PCA JMLR 2022 Survey on Graph Neural Network Acceleration: An Algorithmic Perspective IJCAI 2022 Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs IJCAI 2022 Theoretically Provable Spiking Neural Networks NeurIPS 2022 Token Dropping for Efficient BERT Pretraining ACL 2022 Towards Computationally Feasible Deep Active Learning NAACL 2022 Transform Once: Efficient Operator Learning in Frequency Domain NeurIPS 2022 Transkimmer: Transformer Learns to Layer-wise Skim ACL 2022 TREC: Transient Redundancy Elimination-based Convolution NeurIPS 2022 TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection EMNLP 2022 Understanding the Role of Self Attention for Efficient Speech Recognition ICLR 2022 Warmstart Approach for Accelerating Deep Image Prior Reconstruction in Dynamic Tomography MIDL 2022 Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models ICLR 2022 A Block Minifloat Representation for Training Deep Neural Networks ICLR 2021