AAAI
All Work
Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization
Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization
Efficient technique improves machine-learning models’ reliability
Efficient technique improves machine-learning models’ reliability
MIT News
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Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search
StarNet: towards weakly supervised few-shot detection and explainable few-shot classification
StarNet: towards weakly supervised few-shot detection and explainable few-shot classification
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors
Heterogeneous Knowledge Transfer via Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning
Heterogeneous Knowledge Transfer via Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving
RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning.
RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning.
Augmenting Policy Learning with Routines Discovered from a Single Demonstration
Augmenting Policy Learning with Routines Discovered from a Single Demonstration
Online AI planning with graph neural networks and adaptive scheduling
Online AI planning with graph neural networks and adaptive scheduling
CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator
CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator
MAi : An Intelligent Model Acquisition Interface for Interactive Specification of Dialogue Agents
MAi : An Intelligent Model Acquisition Interface for Interactive Specification of Dialogue Agents