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341 directly classified papers

Papers per year

Papers

A Universal 2-state n-action Adaptive Management Solver AAAI 2021
Automated Reasoning and Learning for Automated Payroll Management AAAI 2021
Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search CVPR 2021
Blind Deblurring for Saturated Images CVPR 2021
Deep Optimized Priors for 3D Shape Modeling and Reconstruction CVPR 2021
AutoFlow: Learning a Better Training Set for Optical Flow CVPR 2021
BCNet: Searching for Network Width With Bilaterally Coupled Network CVPR 2021
Studying word order through iterative shuffling EMNLP 2021
MTAdam: Automatic Balancing of Multiple Training Loss Terms EMNLP 2021
Convex Aggregation for Opinion Summarization EMNLP 2021
A novel notion of barycenter for probability distributions based on optimal weak mass transport NIPS 2021
Revisiting Smoothed Online Learning NIPS 2021
Bayesian Optimization of Function Networks NIPS 2021
Learning Fast-Inference Bayesian Networks NIPS 2021
Training Over-parameterized Models with Non-decomposable Objectives NIPS 2021
Unifying Width-Reduced Methods for Quasi-Self-Concordant Optimization NIPS 2021
Only Train Once: A One-Shot Neural Network Training And Pruning Framework NIPS 2021
Generalization Guarantee of SGD for Pairwise Learning NIPS 2021
Twice regularized MDPs and the equivalence between robustness and regularization NIPS 2021
Minibatch and Momentum Model-based Methods for Stochastic Weakly Convex Optimization NIPS 2021
Tensor Normal Training for Deep Learning Models NIPS 2021
Learning to delegate for large-scale vehicle routing NIPS 2021
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems NIPS 2021
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding NIPS 2020
Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint NIPS 2020