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Deep Learning

1397 directly classified papers

Papers per year

Papers

Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting AAAI 2021
Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization AAAI 2021
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks AAAI 2021
IDOL: Inertial Deep Orientation-Estimation and Localization AAAI 2021
A Unified Framework for Planning with Learned Neural Network Transition Models AAAI 2021
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series AAAI 2021
Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models AAAI 2021
Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach AAAI 2021
DeepPseudo: Pseudo Value Based Deep Learning Models for Competing Risk Analysis AAAI 2021
Asynchronous Stochastic Gradient Descent for Extreme-Scale Recommender Systems AAAI 2021
Analyzing the tree-layer structure of Deep Forests ICML 2021
Robust Learning-Augmented Caching: An Experimental Study ICML 2021
Sliced Iterative Normalizing Flows ICML 2021
A Novel Sequential Coreset Method for Gradient Descent Algorithms ICML 2021
Hyperparameter Selection for Imitation Learning ICML 2021
LieTransformer: Equivariant Self-Attention for Lie Groups ICML 2021
Representational aspects of depth and conditioning in normalizing flows ICML 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning ICML 2021
Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data ICML 2021
Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation ICML 2021
Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset ICML 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting ICML 2021
DriftSurf: Stable-State / Reactive-State Learning under Concept Drift ICML 2021
Deep Learning for Functional Data Analysis with Adaptive Basis Layers ICML 2021
Improving Gradient Regularization using Complex-Valued Neural Networks ICML 2021