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Efficient Computing

6,876 papers

Papers per year

Papers

Optimizing Dynamic Neural Networks with Brainstorm OSDI 2023
AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models OSDI 2023
ShRing: Networking with Shared Receive Rings OSDI 2023
ServiceRouter: Hyperscale and Minimal Cost Service Mesh at Meta OSDI 2023
Ensō: A Streaming Interface for NIC-Application Communication OSDI 2023
Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment RSS 2023
PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection RSS 2023
Demonstrating Large-Scale Package Manipulation via Learned Metrics of Pick Success RSS 2023
Local object crop collision network for efficient simulation of non-convex objects in GPU-based simulators RSS 2023
GranularGym: High Performance Simulation for Robotic Tasks with Granular Materials RSS 2023
Decentralization and Acceleration Enables Large-Scale Bundle Adjustment RSS 2023
SubMix: Learning to Mix Graph Sampling Heuristics UAI 2023
FLASH: Automating federated learning using CASH UAI 2023
Efficient Learning of Minimax Risk Classifiers in High Dimensions UAI 2023
Scalable and robust tensor ring decomposition for large-scale data UAI 2023
Optimal Budget Allocation for Crowdsourcing Labels for Graphs UAI 2023
CAST: Conditional Attribute Subsampling Toolkit for Fine-Grained Evaluation WACV 2023
Sparsity Agnostic Depth Completion WACV 2023
Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-Width Deep Neural Networks WACV 2023
Couplformer: Rethinking Vision Transformer With Coupling Attention WACV 2023
LCS: Learning Compressible Subspaces for Efficient, Adaptive, Real-Time Network Compression at Inference Time WACV 2023
Pushing the Efficiency Limit Using Structured Sparse Convolutions WACV 2023
Efficient Skeleton-Based Action Recognition via Joint-Mapping Strategies WACV 2023
LAB: Learnable Activation Binarizer for Binary Neural Networks WACV 2023
SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search WACV 2023