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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