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Application Areas

31,658 papers (3 classified directly here)

Subtopics

Domain Adaptation (8,962) Efficient Computing (6,898) Data Augmentation (3,720) Fairness (3,511) Knowledge Distillation (3,086) Privacy (2,847) Domain Generalization (1,834) Model Compression (1,718) Risk Management (1,064) Model Merging (558) Recommender Systems (315) Information Retrieval (244) Text Classification (139) Text Processing (5)

Papers per year

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Papers (including subtopics)

Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning NIPS 2020
Efficient Algorithms for Device Placement of DNN Graph Operators NIPS 2020
Sparse Weight Activation Training NIPS 2020
The Discrete Gaussian for Differential Privacy NIPS 2020
Dark Experience for General Continual Learning: a Strong, Simple Baseline NIPS 2020
Shared Space Transfer Learning for analyzing multi-site fMRI data NIPS 2020
The Diversified Ensemble Neural Network NIPS 2020
Variational Bayesian Unlearning NIPS 2020
Coded Sequential Matrix Multiplication For Straggler Mitigation NIPS 2020
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning NIPS 2020
Domain Generalization via Entropy Regularization NIPS 2020
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels NIPS 2020
Universal Domain Adaptation through Self Supervision NIPS 2020
Stochastic Normalization NIPS 2020
Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning NIPS 2020
AViD Dataset: Anonymized Videos from Diverse Countries NIPS 2020
Probably Approximately Correct Constrained Learning NIPS 2020
Linear Dynamical Systems as a Core Computational Primitive NIPS 2020
Inverting Gradients - How easy is it to break privacy in federated learning? NIPS 2020
CryptoNAS: Private Inference on a ReLU Budget NIPS 2020
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection NIPS 2020
Identifying Mislabeled Data using the Area Under the Margin Ranking NIPS 2020
High-Throughput Synchronous Deep RL NIPS 2020
Calibrated Reliable Regression using Maximum Mean Discrepancy NIPS 2020
Co-Tuning for Transfer Learning NIPS 2020