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Efficient Computing

6,876 papers

Papers per year

Papers

Efficient Dataset Distillation using Random Feature Approximation NIPS 2022
VTC-LFC: Vision Transformer Compression with Low-Frequency Components NIPS 2022
PALBERT: Teaching ALBERT to Ponder NIPS 2022
Deep Compression of Pre-trained Transformer Models NIPS 2022
BiT: Robustly Binarized Multi-distilled Transformer NIPS 2022
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation NIPS 2022
Rare Gems: Finding Lottery Tickets at Initialization NIPS 2022
Fast Vision Transformers with HiLo Attention NIPS 2022
Orthogonal Transformer: An Efficient Vision Transformer Backbone with Token Orthogonalization NIPS 2022
FP8 Quantization: The Power of the Exponent NIPS 2022
Saliency-Aware Neural Architecture Search NIPS 2022
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data NIPS 2022
Retaining Knowledge for Learning with Dynamic Definition NIPS 2022
TPU-KNN: K Nearest Neighbor Search at Peak FLOP/s NIPS 2022
AutoML Two-Sample Test NIPS 2022
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness NIPS 2022
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition NIPS 2022
A Deep Learning Dataloader with Shared Data Preparation NIPS 2022
ShuffleMixer: An Efficient ConvNet for Image Super-Resolution NIPS 2022
Neural Topological Ordering for Computation Graphs NIPS 2022
A composable machine-learning approach for steady-state simulations on high-resolution grids NIPS 2022
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models NIPS 2022
Confident Adaptive Language Modeling NIPS 2022
DataMUX: Data Multiplexing for Neural Networks NIPS 2022
SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training NIPS 2022