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Efficient Computing

6,876 papers

Papers per year

Papers

DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets NIPS 2023
Frequency Domain-Based Dataset Distillation NIPS 2023
ADGym: Design Choices for Deep Anomaly Detection NIPS 2023
OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents NIPS 2023
GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction NIPS 2023
Clustering the Sketch: Dynamic Compression for Embedding Tables NIPS 2023
DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation NIPS 2023
HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation NIPS 2023
FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout NIPS 2023
ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation NIPS 2023
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective NIPS 2023
Object Reprojection Error (ORE): Camera pose benchmarks from lightweight tracking annotations NIPS 2023
AutoGO: Automated Computation Graph Optimization for Neural Network Evolution NIPS 2023
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing NIPS 2023
Compact Neural Volumetric Video Representations with Dynamic Codebooks NIPS 2023
Q-DM: An Efficient Low-bit Quantized Diffusion Model NIPS 2023
Alternating Updates for Efficient Transformers NIPS 2023
Efficiently incorporating quintuple interactions into geometric deep learning force fields NIPS 2023
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization NIPS 2023
HubRouter: Learning Global Routing via Hub Generation and Pin-hub Connection NIPS 2023
CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference NIPS 2023
Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask? NIPS 2023
American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers NIPS 2023
AutoGluon–TimeSeries: AutoML for Probabilistic Time Series Forecasting AUTOML 2023
Learning Activation Functions for Sparse Neural Networks AUTOML 2023